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Article

Low PRKAB2 Expression Is Associated with Poor Outcomes in Pediatric Adrenocortical Tumors, and Treatment with Rottlerin Increases the PRKAB2 Level and Inhibits Tumorigenic Aspects in the NCI-H295R Adrenocortical Cancer Cell Line

by
Alcides Euzebio Tavares Xavier
1,
Luciana Chain Veronez
2,
Luís Fernando Peinado Nagano
1,
Carolina Alves Pereira Correa
1,
Mirela Baroni
1,
Milena Silva Ramos
1,
Rosane de Gomes de Paula Queiroz
2,
Carlos Augusto Fernandes Molina
3,
José Andres Yunes
4,
Silvia Regina Brandalise
4,
Sonir Antonio Rauber Antonini
2,
Luiz Gonzaga Tone
1,2,
Elvis Terci Valera
2 and
Carlos Alberto Scrideli
1,2,5,*
1
Departments of Genetics, Ribeirão Preto Medical School, University of São Paulo, 3000 Bandeirantes Avenue, Ribeirão Preto 14049-900, SP, Brazil
2
Departments of Pediatrics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14049-900, SP, Brazil
3
Department of Surgery and Anatomy, Ribeirão Preto Medical School, University of Sao Paulo, São Paulo, Ribeirão Preto 14049-900, SP, Brazil
4
Boldrini Children’s Center, Campinas 13083-210, SP, Brazil
5
National Science and Technology Institute for Children’s Cancer Biology and Pediatric Oncology—INCT BioOncoPed, Porto Alegre 90035-003, RS, Brazil
*
Author to whom correspondence should be addressed.
Cancers 2024, 16(6), 1094; https://doi.org/10.3390/cancers16061094
Submission received: 22 December 2023 / Revised: 9 February 2024 / Accepted: 26 February 2024 / Published: 8 March 2024
(This article belongs to the Special Issue Advances in Adrenocortical Carcinoma Research: Diagnosis, Treatment and Prognosis)
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Abstract

:

Simple Summary

Adrenocortical tumors are rare neoplasms with an uncertain prognosis. A greater understanding of the biology of these tumors will allow new therapeutic targets to be identified and the prognosis of these patients to be better understood, enabling more precise therapeutic targeting. Our study sought to evaluate the expression of the PRKAB2 gene as a prognostic biomarker in 63 cases of pediatric adrenocortical tumors and to analyze how efficient Rottlerin is in altering the tumorigenic profile of the NCI-H295R adrenocortical carcinoma (ACC) cell line.

Abstract

Pediatric adrenocortical tumors (ACTs) are rare, highly heterogeneous neoplasms with limited therapeutic options, making the investigation of new targets with potential therapeutic or prognostic purposes urgent. The PRKAB2 gene produces one of the subunits of the AMP-activated protein kinase (AMPK) complex and has been associated with cancer. However, little is known about the role AMPK plays in ACTs. We have evaluated how PRKAB2 is associated with clinical and biological characteristics in 63 pediatric patients with ACTs and conducted in vitro studies on the human NCI-H295R ACC cell line. An analysis of our cohort and the public ACC pediatric dataset GSE76019 showed that lower PRKAB2 expression was associated with relapse, death, metastasis, and lower event-free and overall survival rates. Multivariate analysis showed that PRKAB2 expression was an independent prognostic factor when associated with age, tumor weight and volume, and metastasis. In vitro tests on NCI-H295R cells demonstrated that Rottlerin, a drug that can activate AMPK, modulated several pathways in NCI-H295R cells, including AMPK/mTOR, Wnt/β-catenin, SKP2, HH, MAPK, NFKB, and TNF. Treatment with Rottlerin decreased cell proliferation and migration, clonogenic capacity, and steroid production. Together, these results suggest that PRKAB2 is a potential prognostic marker in pediatric ACTs, and that Rottlerin is promising for investigating drugs that can act against ACTs.

1. Introduction

Adrenocortical tumors (ACTs) have different incidences and behave distinctly in adult and pediatric patients. In adults, adrenocortical adenomas are relatively common and sometimes found accidentally, while adrenocortical carcinomas are rare, with an estimated incidence of 0.7 to 2 cases/year per million inhabitants [1]. In children, ACTs are very rare, with an estimated incidence of 0.2 to 0.3 cases/million inhabitants (aged < 20 years). Differentiating between malignant and benign forms is difficult, and, to date, no histological markers can reliably distinguish between them [2]. In the southern and southeastern regions of Brazil, the ACT incidence is around 4.2 cases per million children, which is 10–15 times higher than the world incidence of pediatric ACTs and has been associated with a specific germline mutation in the TP53 gene (p.R337H), present in nearly 90% of cases [3,4,5].
The clinical presentation of patients with ACTs varies. Patients may be asymptomatic or present with symptoms related to mechanical effects stemming from tumor mass growth or excessive hormone production. Approximately 90% of pediatric cases have virilization, hypercorticolism, or both and are characterized as functioning [6,7,8]. Long-term survival is over 90% and 10% in patients with small localized tumors and metastatic disease, respectively. Around 50% of the patients with large localized tumors experience recurrence despite complete tumor resection [9], which reflects ACT heterogeneity. Complete tumor resection is the primary form of therapy, but it is not always possible [10]. In advanced ACT stages, therapy is based on using mitotane, an adrenolytic agent, combined with chemotherapeutics such as etoposide, doxorubicin, and cisplatin [9,11,12]. In an RNA sequencing analysis performed by our group, 14 ACT samples were sequenced, and 1215 differentially expressed genes were identified when the tumors of patients with good (n = 9) and poor clinical evolution (metastatic or recurrent cases or both, n = 5) were compared (GSE182022). To validate the expression profiles of hub genes, expression data from two public pediatric ACT datasets available in the Gene Expression Omnibus database (GSE76021 and GSE79019) were used. Interestingly, five hub genes were commonly validated between our cohort and the datasets. One of them was PRKAB2, which was downregulated in patients with a worse prognosis (metastatic and/or relapsed cases).
The PRKAB2 gene produces the AMPKB2 protein, a regulatory unit within the AMPK (AMP-activated protein kinase) heterotrimeric complex. However, AMPKB2 also has a “scaffolding” function because it can mediate binding between the AMPK catalytic subunits and gamma regulator subunits to further stabilize the heterotrimeric complex [13].
Rottlerin, a natural compound extracted from plants, was initially described as a selective protein kinase C delta inhibitor [14]. Interestingly, Rottlerin also acts as a mitochondrial uncoupler (destabilizer), reducing cellular respiration, to increase the O2 level and to decrease the ATP level [15]. Rottlerin activates AMPK at the phosphorylation and activation (dissociation of catalytic subunits) levels [16]. The activation of AMPK and the PI3K/AKT/mTOR pathway induces autophagy and apoptosis in cancer cells [17], including the NCI-H295R cell line [18]. However, AMPK deregulation in pediatric ACTs has not been studied yet. Several dysregulated signaling pathways have been described in pediatric ACTs; for example, the dysregulation of the Wnt/β–catenin pathway [19] and the Hedgehog pathway [20], of genes such as IGF2 and IGF1R [21], of TP53 [22], and of the YAP1 oncogene [23] has been reported. The AMPK pathway negatively regulates YAP, a key gene in the Hippo signaling pathway [24]. Additionally, AMPK activation activates the tuberous sclerosis complex, which inhibits the activity of the mammalian target of rapamycin (mTOR) [25], whose signaling is activated in pediatric ACTs [26].
In this study, we have evaluated the clinical significance of the PRKAB2 gene in pediatric ACTs and the functional effect of Rottlerin, an AMPK activator, in the NCI-H295R cell line. We will demonstrate that PRKAB2 gene expression is associated with the clinical and biological characteristics of Brazilian children with ACTs and of the cohort available in the Children Oncology Group database. We have also evaluated how Rottlerin affects the NCI-H295R adrenal carcinoma cell line and will show that this compound stimulates PRKAB2 and AMPK and thereby reduces essential functional activities and hormone biosynthesis in NCI-H295R cells.

2. Materials and Methods

2.1. Subjects

The present study analyzed PRKAB2 gene expression in 63 pediatric adrenocortical samples after microdissection. The samples were obtained from pediatric patients treated at HCFMRP-USP (University Hospital of the Ribeirão Preto Medical School, University of São Paulo—Brazil) and Centro Infantil Boldrini (Campinas, state of São Paulo—Brazil). Samples of adrenal glands without neoplasms (n = 6) were obtained from children with Wilms tumors during nephrectomy, before any treatment. To exclude necrotic areas or adjacent normal tissue, fresh surgical tissues were immediately snap-frozen in liquid nitrogen, stored at −80 °C, and microdissected by an experimented pathologist before RNA was extracted. Only specimens that were at least 80% tumor cells were included in the study. In such samples, the possible invasion of the adrenal gland was excluded by conventional microscopy. This study was approved by the local Research Ethics Committee (CAEE: 65141422.2.0000.5440), and signed statements of informed consent were obtained from the children’s parents.
All the patients underwent clinical and hormonal evaluation by biochemical and imaging investigation. Abdominal and chest CT and bone scintigraphy were conducted at diagnosis and during follow-up to detect metastasis. The disease stage at diagnosis was based on the modified Sandrini classification of childhood ACTs. The patients comprised 50 girls and 13 boys; 45 patients were aged less than four years, and 18 patients were aged over four years. The tumor volume was less than and greater than 200 cm3 in 50 and 13 patients, respectively. The tumor weight was less than and greater than 100 g in 40 and 22 patients, respectively; there was no information about tumor weight for 1 patient. The germline TP53 p.R337H mutation was evaluated by direct genomic DNA sequencing and was detected in 54 of the 63 patients (88.8%); 38, 14, 3, and 8 patients were classified as stages I, II, III, and IV, respectively, according to Sandrini’s modified staging [3]. Patient age > 4 years, tumor volume > 200 cm3, tumor weight > 100 g, tumor stage IV, and the presence of metastasis were associated with lower five-year event-free and five-year overall survival rates (Table 1 and Table S1).

2.2. Cell Line

The NCI-H295R adrenocortical carcinoma cell line (ACTC® CRL-2128™) was cultured in DMEM-F12 medium supplemented with 2.5% NuSerum (CORNING, Teo Oak Park, Bedford, MA, USA), 1% ITS (GIBCO, Grand Island, NY 14072, USA), 60 mg/mL penicillin, and 100 µg/mL streptomycin (GIBICO, Grand Island, NY 14072, USA) in a humid atmosphere containing 5% CO2 at 37 °C. An STR test was performed to confirm lineage authenticity. The H295R cell line presents an inactivated TP53 gene due to the homozygous deletion of exons 8–9 and an activating mutation in the CTNNB1 gene (c.T133C:p.S45P) and is the only commercially available confirmed human ACT.

2.3. Treatment with Rottlerin

NCI-H295R cells were treated with Rottlerin (protein kinase C delta inhibitor: 1610, Tocris Bioscience, Atlantic Road, Bristol, UK) at IC50 or IC25. A 1 mmol/L Rottlerin stock solution was prepared in dimethylsulfoxide (DMSO), and aliquots of this solution were stored at −20 °C. The IC50 and IC25 values were established by using Compusyn 1.0 software (https://www.combosyn.com/).

2.4. RNA Extraction and Gene Expression by Real-Time PCR (RT-qPCR)

Samples of ACTs and non-neoplastic adrenal cells were subjected to total RNA extraction by using the TRIZOL® reagent (InvitrogenInc, Carlsdab, CA, USA); cDNA was synthesized with the High Capacity® kit (AppliedBiosystems, Foster City, CA, USA) by following the protocol suggested by the manufacturer. After NCI-H295R cells were treated with Rottlerin for 48 h, they were subjected to RNA extraction and cDNA synthesis by using the same protocol mentioned above. Gene expression was analyzed by the qRT-PCR technique. The GUSB gene was used as an endogenous control, and the mean gene expression values of the six non-neoplastic adrenal samples were used as a calibrator. The employed primers are shown in Supplementary Table S2. Experiments were carried out on QuantStudioTM 12K Flex equipment (Applied Biosystems, Foster City, CA, USA) by using the SYBR Green® and GoTaq Probe® PCR Master Mix (Applied Biosystems, Foster City, CA, USA): GUSB (4326320E), STAR (00986559), MYCN (00232074), TCF7L2 (Hs01009044), LEF1 (Hs01547250), AXIN2 (00610344), GSK3B (Hs01047719), and AKT1 (00178289). Relative gene expression was quantified by the 2−ΔΔCT equation [27]. Standard curves were constructed for each gene to determine the efficiency. All the curves showed slopes between −3.6 and −3.3 (efficiency of 90–100%). All the samples were analyzed in at least three independent experiments, performed in triplicate.

2.5. Cell Viability Assay

Cell viability was analyzed by using the CellTiter Glo® Cell Luminescent Cell Viability kit (Promega, Madison, WI, USA); the manufacturer’s protocol was followed. NCI-H295R cells were cultivated in a 96-well plate at a density of 2 × 104 cells/well; luminescence was read after treatment with Rottlerin at 4.5 µM (IC50) or 2.25 µM (IC25) for 24, 48, or 72 h. At least three independent experiments were performed for each concentration and time in triplicate.

2.6. Clonogenic Assay

NCI-H295R cells were treated with Rottlerin at 4.5 µM (IC50) or 2.25 µM (IC25) in 25 cm3 bottles at a confluence of 4 × 106 for 24 or 48 h. Then, 2.5 × 102 cells/well were seeded in a 12-well plate and cultured for four weeks. The medium was changed every 48 h. Colonies were fixed with methanol and stained with Giemsa. Colonies with over 50 cells were considered for analysis. The assays were analyzed in at least three independent experiments, performed in triplicate.

2.7. Transwell Assay

NCI-H295R cells were treated with Rottlerin at 4.5 µM (IC50) or 2.25 µM (IC25) in 25 cm3 bottles at a confluence of 4 × 106 for 48 h. Then, 2 × 105 cells suspended in DMEM-F12 medium without supplementation were seeded per insert. Supplemented medium was added to the 24-well plate, below the insert, to stimulate cell migration. Cells were allowed to migrate for 72 h. Next, they were fixed with methanol and stained with Giemsa. The area of each scratch was photographed under an inverted microscope in three randomly selected fields along the scraped line and measured by using ImageJ software version 1.48 (NIH, Washington, DC, USA). The assays were repeated in three independent experiments in triplicate.

2.8. Hormone Measurement

NCI-H295R cells, 5 × 105 cells/well, were seeded in a six-well plate for 24 h. The cells were treated with DMSO or Rottlerin at 4.5 µM (IC50) or 2.25 µM (IC25) for 48 h. After that, the culture medium was collected and immediately stored at −80 °C. Cortisol, testosterone, and D4-androstenedione concentrations were measured in the supernatant of the NCI-H295R cell medium by a radioimmunoassay (RIA), as previously described [28]. All the hormones were measured in triplicate, and the mean was normalized to the cell viability effects in the same treatment conditions.

2.9. Western Blotting

After treatment with Rottlerin at 4.5 µM (IC50) or 2.25 µM (IC25) for 6, 12, 24, or 48 h, between 20 and 40 μg of proteins was separated by SDS-PAGE electrophoresis and incubated with 1:1000 anti-AMPKβ2 primary antibodies (4148S), 1:1000 p-AMPK (#2535), 1:1000 AMPKα-total (#2532), 1:1000 p-mTOR (#2971), and 1:1000 mTOR-total (#2983), obtained from Cell Signaling Technology (Danvers, MA, USA), and 1:2500 anti-GAPDH (sc-47724) and 1:500 MAP LC3B (sc-271625), obtained from Santa Cruz Biotechnology (Santa Cruz, CA, USA). Anti-mouse IgG 1:5000 (#7076) and anti-rabbit IgG 1:5000 (#7074) secondary antibodies were obtained from Cell Signaling Technology (Danvers, MA, USA). A molecular weight marker (MW) and the protein of interest were run on the same gel. The MW was detected by colorimetry to control the size of the band of interest. The protein was detected by chemiluminescence; the ECLTM Western Blotting Analysis System (Amersham GE Healthcare, Buckinghamshire, UK) was used. Intensity was quantified by using ImageJ software version 1.48 (NIH, Washington, DC, USA), relativized by the control, and normalized relative to an endogenous protein (GAPDH). Membrane stripping was performed a maximum of three times by using Restore Western Blot Stripping buffer (Thermo Scientific, Rockford, IL, USA).

2.10. RNA Sequencing (RNAseq)

To investigate the role played by Rottlerin in NCI-H295R cells, global gene expression by RNAseq analysis was measured in cells treated with Rottlerin (at IC50) or the control (DMSO). The Illumina Stranded mRNA Sample Preparation kit (Illumina Inc., San Diego, CA, USA) was used to prepare the samples. The generated libraries were evaluated by using Tapestation equipment (Agilent Technologies, Santa Clara, CA, USA) and quantified on a Qubit fluorimeter with the Qubit dsDNA BR Assay kit (Life Technologies, Carlsbad, CA, USA). Clustering and sequencing were performed on the Illumina NovaSeq 6000 equipment by using the NovaSeq SP Kit (200 cycles) (Illumina Inc.), generating 800 million reads per sequencing run. The data quality of the two samples (Rottlerin at IC50 and DMSO) was evaluated by using the FastQC (0.11.3) and MultiQC (v1.10) programs, which provide information about basic sequence statistics, quality, GC content, sequence size distribution, sequence duplication levels, and over-represented sequences. To align, to map, and to count the sequences against the reference genome, the STAR aligner (v2.7.8a) was used. From the count of reads in each sample, the R programming language (v4.1.2) was applied; more specifically, the DESeq2 package was employed, which enabled differential expression between the different conditions of the experiment to be analyzed. On the basis of LogFC, the differentially expressed genes (DEGs) were separated into up- and downregulated genes and subsequently enriched for deregulated pathways through the enrichment platform. A LogFC of 1.5 and a p-value < 0.05 were considered. Sequencing was carried out at the Institute for Cancer Research (IPEC), Guarapuava—PR. These data were deposited in the Gene Expression Omnibus database (GSE255729)

2.11. Statistical Analysis

Functional assays and patients’ samples were statistically analyzed by using the GraphPadPrism 8.0 (GraphPad Software, San Diego, CA, USA) and SPSS 20.0 (SPSS Inc. Chicago, IL, USA) statistical programs. At least three independent experiments were carried out in triplicate; the average of the experiments was considered. The Mann–Whitney test was used to analyze patients’ gene expression and clinical characteristics. One-way and Two-way ANOVAs with a post hoc Bonferroni test were used for functional tests; p < 0.05 was adopted as the level of statistical significance. The analysis of five-year event-free survival (with relapse or death from any cause being considered an unfavorable event) and five-year overall survival (with death being considered an unfavorable event) rates were based on Kaplan–Meier curves and log-rank tests; the median PRKAB2 gene expression was used as the cut-off point for high or low expression. The multivariate test using the Cox regression model was applied to assess the independence of the factors in the predictive capacity.

3. Results

3.1. The PRKAB2 Gene Expression Profile in the Brazilian Cohort

In our cohort, lower PRKAB2 gene expression was associated with shorter overall (Figure 1A, p = 0.004) and event-free survival (Figure 1B, p < 0.001). Lower PRKAB2 gene expression was also associated with death (Figure 1C, p = 0.0066), tumor relapse (Figure 1D, p = 0.0018), and Sandrini IV staging (Figure 1E, p = 0.0197) cases.
To further validate our findings, we analyzed the PRKAB2 gene expression in an independent Children Oncology Group cohort deposited in the Gene Expression Omnibus database (GSE76019) (n = 34). In this cohort, germline TP53 mutations were detected in 23 (67.6%) patients (10 R337H, 13 other TP53 mutations, 10 WT, and 1 patient without information). As in the case of our cohort, low PRKAB2 gene expression was associated with shorter overall (Figure 2A, p = 0.044) and event-free survival (Figure 2, p = 0.040); the median of the expression was used as the cut-off point for high or low expression. In addition, PRKAB2 underexpression was associated with poor clinical outcomes: this gene was less expressed in cases of death (Figure 2, p = 0.0116), unfavorable clinical events (recurrence, death, or metastasis) (Figure 2, p = 0.0094), and Sandrini IV staging (Figure 2, p = 0.0219).
Multivariate analysis showed that lower PRKAB2 gene expression was a significant independent prognostic factor for both overall survival (p = 0.006) and event-free survival (p = 0.003) when analyzed in combination with classic prognostic factors such as the patient’s age (greater or less than four years), tumor volume (greater or less than 200 cm3), tumor weight (greater or less than 100 g), and presence and absence of metastasis (Figure 3A,B).

3.2. Cell Viability

Rottlerin decreased NCI-H295R cell proliferation in a dose- and time-dependent manner (Figure 4A), with IC50 and IC25 calculated as 4.5 µM and 2.25 µM, respectively. Figure 4B shows cell viability after treatment with Rottlerin at IC50 (4.5 µM, p = 0.0034) or IC25 (2.25 µM) for 48 h compared to the control (DMSO).

3.3. Transwell Assay

The Transwell assay showed that NCI-H295R cells had decreased migration capacity after they were treated with Rottlerin at IC50 or IC25 (p = 0.025) compared to the control (DMSO) (Figure 4C,D); the migration time was 72 h.

3.4. Clonogenic Assay

Treatment with Rottlerin at IC50 or IC25 for 24 h (p = 0.0102) or 48 h (p = 0.0102) reduced the clonogenic capacity of NCI-H295R cells compared to the control (DMSO) (Figure 4E–G).

3.5. Rottlerin Upregulates PRKAB2 in NCI–H295R Cells

NCI-H295R cells treated with Rottlerin showed increased PRKAB2 gene and PRKAB2 protein expression. Treatment was carried out for different times: 6, 12, 24, or 48 h. The highest AMPKB2 protein expression level occurred after treatment with Rottlerin at IC50 for 6 h, when the protein level doubled compared to the control (DMSO). After treatment under these conditions for 48 h, the AMPKB2 protein level increased by 70% compared to the control (DMSO) (Figure 5A). Moreover, PRKAB2 gene expression increased after treatment with Rottlerin at IC50 (p = 0.0063) or IC25 (p = 0.0287) for 48 h (Figure 5B).

3.6. Rottlerin Modulates via AMPK/mTOR, Suppresses the Steroidogenic Factor, Reduces Hormone Biosynthesis, and Stimulates Autophagy in NCI-H295R Cells

Rottlerin demonstrated the potential for activating total AMPK (alpha subunits) and phosphorylating AMPK at Thr-172 in NCI-H295R cells. Treatment with Rottlerin at IC50 for 6 h activated AMPK more effectively, while treatment for 12 h decreased the concentration of this protein, treatment for 24 h promoted stabilization, and treatment for 48 h further decreased the AMPK level (Figure 6A).
The expression of STK11, the gene underlying the production of liver kinase LKB1, the main pathway of AMPK phosphorylation at Thr-172, increased after treatment with Rottlerin at IC25 for 48 h (Figure 6C, p = 0.0033). In addition, treatment with Rottlerin at IC50 for 48 h reduced the level of acetyl-CoA carboxylase (ACC), a marker of AMPK activity. However, AMPK expression was lower at all times compared to the control (DMSO) (Figure 6B). Also, the gene expression of the steroidogenic factor STAR was reduced after treatment with Rottlerin at IC50 (p = 0.0280) or IC25 (p = 0.0061) (Figure 6E). Cortisol, D4-androstenedione, and testosterone secretion by the treated NCI-H295R cells was also lower (Figure 7).
Treatment with Rottlerin at IC25 or IC50 for 12, 24, or 48 h reduced the total mammalian target of rapamycin (mTOR) and p-mTOR activity. However, treatment for 6 h stimulated total mTOR and p-mTOR (Figure 6B). Furthermore, treatment with Rottlerin at IC50 for 48 h stimulated the expression of the TSC1 gene, described in the mTOR inhibition cascade (p = 0.0057) (Figure 6D).
Compared to the control (DMSO), treatment with Rottlerin for 24 or 48 h increased the level of the MAP LC3B protein, an autophagy marker (Figure 6F). The LC3B:LC3-I cleavage is an intermediate cleavage that occurs prior to binding to the autophagosome; LC3B:LC3-II is the second cleavage and the final version, which can bind to the autophagosome. Both cleavages were upregulated after treatment with Rottlerin (Figure 6F,G), but LC3B:LC3-II expression was more significantly different. Additionally, the BAX protein level increased compared to the control: higher levels of this protein are correlated with increased apoptosis.

3.7. Rottlerin Inhibits the Wnt/β-Catenin Pathway

Treatment with Rottlerin decreased the β-catenin level in NCI-H295R cells. Cells treated with Rottlerin at IC50 or IC20 for 12, 24, or 48 h showed lower β-catenin and active β-catenin levels compared to the control (DMSO) (Figure 8). In addition, treatment with Rottlerin at IC25 decreased the expression of key genes in the Wnt/β-catenin pathway, such as MYCN (p = 0.0012), TCF7 (p ≤ 0.0001), LEF1 (p = 0.254), and AXIN2 (p ≤ 0.0001), and treatment with Rottlerin at IC50 decreased WNT3 gene expression. Treatment with Rottlerin at IC50 for 48 h increased GSK3B gene expression (Figure 8).

3.8. Treatment with Rottlerin for 48 h Potently Inhibits SKP2 Protein Expression

Rottlerin potently inhibited SKP2 protein expression. The highest inhibition rate was achieved after treatment with Rottlerin at IC50 for 48 h. However, inhibition was 50% after treatment with Rottlerin at IC25 for 12 or 24 h and 90% after treatment with Rottlerin at IC25 for 48 h (Figure 9).

3.9. Transcriptome Analysis after Treatment with Rottlerin

Rottlerin Stimulates Key Genes That Suppress the Hedgehog Pathway

RNAseq of NCI-H295R cells treated with Rottlerin at IC50 for 48 h helped us understand how Rottlerin affected the cells. After normalizing and enriching the comparative DMSO × IC50 data, we found that several cellular pathways and gene ontology were altered (Figure 10).
Among the positively regulated pathways, we can mention the Hedgehog development pathway (hh), which had 10 differentially expressed genes, including GRK3, EVC, SMO, KIF3A, SUFU, GPR161, BOC, ARRB1, BTRC, and CDON (p = 0.003) (Figure 11A).
On the other hand, some pathways, such as the MAPK pathway, were negatively regulated: 30 genes were negatively regulated, namely, FLT1, TGFA, HSPB1, AREG, TNF, DUSP10, FGF9, MYC, CD14, FGF2, DUSP4, DUSP5, HSPA8, JUN, DUSP2, JUN, GADD45B, GADD45, DUSP1, HSPA6, VEGFC, FOS, DUSP8, GADD45G, NR4A1, DDIT3, FGF18, HSPA1B, ATF4, and HSPA1A (p = 0.00000048) (Figure 11B). The NFKB pathway was also negatively regulated: the 13 negatively regulated genes were CXCL8, GADD45B, GADD45A, DDX5, CXCL, TNF, CXCL2, GADD45G, NFKBIA, CSNK2B, LTA, CD14, and BIRC3 (p = 0.002) (Figure 11C). The TNF pathway had 16 negatively regulated genes: JUN, VEGFC, PIK3R2, CXCL1, CXCL2, NFKBIA, FOS, TNF, CREV1, BCL3, LTA, CCL2, JUNB, ATF4, BIRC3, and CREB5 (p = 0.0000033) (Figure 11D).

4. Discussion

Pediatric ACTs have an embryonic origin and limited therapeutic options, especially for more advanced stages of the disease [29]. ACTs are highly recurrent, even after resection, which is the only effective treatment proposed to date. The overall five-year survival rate is around 54% to 70%, and this rate is less than 20% for metastatic disease [30]. Therefore, investigating new targets with potential therapeutic or prognostic purposes is urgent because treatments for pediatric ACTs are currently limited, and the prognosis is uncertain. In this study, we observed that the PRKAB2 gene is a potential prognostic marker in ACT, and that cases of death, relapse, and metastasis at diagnosis within our cohort and the Children Oncology Group (COG) cohort (GSE76019) had a lower expression of this gene. In addition, in both cohorts, lower PRKAB2 gene expression was associated with lower five-year overall and five-year event-free survival rates.
Predicting the prognosis and the risk of relapse in children with ACTs remains challenging because the anatomopathological parameters on which prediction relies are inaccurate. Currently, the most commonly used prognostic classifications in pediatric patients classify these tumors into stages I (less aggressive) to IV (more aggressive) and consider the degree of tumor resection, tumor weight, invasion of contiguous tissues or metastasis, and hormone levels after tumor resection. However, none of the available classifications can completely determine the prognosis, especially in intermediate stages [3,4]. Patients at the extremes of staging have a more definite prognosis, which is very favorable in stage I and very unfavorable in stage IV [3,4]. Low PRKAB2 gene expression was correlated with Sandrini IV staging (n = 8) in both our cohort and the COG cohort (GSE76019). Originally, the Brazilian cohort was classified according to the modified Sandrini staging; however, to evaluate other staging systems already proposed on the basis of PRKAB2 gene expression, we classified this cohort into the ENSAT, IPACTR, and IPACTR-II stages. The survival rates were similar, except for ENSAT, without patients in stage III (Supplementary Figure S1). Furthermore, in our cohort, lower PRKAB2 gene expression was correlated with ENSAT (n = 9), IPACTR (n = 7), and IPACTR-II (n = 8) IV staging (Supplementary Figure S2).
In addition to this, when we evaluated PRKAB2 gene expression by multivariate analysis with classic prognostic factors such as patient age and tumor size and volume, we found that this gene was an independent factor in the prognostic prediction of five-year overall and five-year event-free survival rates in pediatric patients with ACTs.
The therapeutic options to treat ACT, especially its more advanced stages, are scarce and barely improve patient survival. In this scenario, Rottlerin has emerged as a potential agent against cancer: Rottlerin acts as a mitochondrial uncoupler, decreasing the intracellular ATP level and activating AMPK by inhibiting mTOR, thereby regulating autophagic and cell growth pathways [25,31]. AMPK activation stimulates genes that produce its α, β, and γ subunits. PRKAB2, the object of this study, is among these genes and underlies the production of the AMPKB2 subunit, which constitutes the AMPK heterotrimeric complex. Thus, the reduced level of a subunit can directly interfere with AMPK activity. Treatment with Rottlerin at 4.5 µM (IC50) or 2.25 µM (IC25) for 24 or 48 h reduced the clonogenic capacity, migration, and viability of NCI-H295R cells.
Treatment with Rottlerin increased total and phosphorylated AMPK activity, which peaked after treatment with Rottlerin for 6 h. AMPK has a heterotrimeric conformation and functions as a cellular energy sensor. ATP depletion and an AMP increase change the AMPK conformation, exposing its phosphorylation loop and allowing the dissociation of the α1 or α2 catalytic unit [13,25,32]. LKB1 kinase is the main agent of AMPK phosphorylation at Thr-172. The expression of the STK11 gene, coding for LKB1, was significantly upregulated after treatment with Rottlerin for 48 h.
Rottlerin also reduced total and phosphorylated mTOR protein expression in NCI-H295R cells. The effect was greater after treatment for 48 h. AMPK induces TSC1, inhibiting mTOR [33,34]. Interestingly, treatment with Rottlerin for 48 h induced the TSC1 gene, suggesting that AMPK activation in NCI-H295R cells by Rottlerin stimulates TSC1 via mTOR inhibition, and mTOR signaling has been shown to be activated in pediatric ACTs [26]. In line with AMPK activation and mTOR inhibition, treatment with Rottlerin increased the LC3-I and II protein levels, suggesting that the AMPK/mTOR pathway may induce autophagy after the treatment of NCI-H295R cells with Rottlerin. The BAX protein level was also higher, suggesting an effect on apoptosis activation.
As the AMPK activity increased, ACC decreased regardless of the treatment time. ACC is a precursor of lipid metabolism and an important factor in hormone production. AMPK inhibits ACC, so ACC is used as a marker of AMPK activity [35,36,37]. Interestingly, the STAR steroidogenic factor mRNA level, a marker of steroid production, was significantly reduced. Excessive hormone production is a common feature of pediatric ACTs. When the tumor is functioning (producing excess hormone), it causes virilization, Cushing syndrome, and other secondary effects in pediatric patients [38,39]. Accordingly, NCI-H295R cells treated with Rottlerin had significantly decreased cortisol, D4-androstenedione, and testosterone levels, also suggesting that this drug can be used to suppress the effects of excess steroids in ACT patients.
The Wnt/β-catenin pathway is activated in pediatric ACTs, which is evidenced by β-catenin accumulation in the cell nucleus [19]. GSK3B underlies β-catenin phosphorylation, and its activity is related to the initiation of β-catenin degradation [40]. Our results showed that treatment with Rottlerin at IC50 or IC25 for 6 h increased the GSK3B and p-GSK3B protein levels, but these levels declined thereafter. Interestingly, treatment with Rottlerin at IC50 elevated the mRNA levels of the GSK3B gene, suggesting that post-transcriptional regulation occurred. Additionally, treatment with Rottlerin at IC25 or IC50 for 48 h reduced the expression of the AKT gene, which underlies the inhibition of phosphorylated and non-phosphorylated GSK3B. In mTOR/AKT signaling, TSC1/TSC2 is inhibited by AKT and ultimately inhibits mTORC1 [41]. Thus, our results suggest that Rottlerin acts in several cell signaling pathways in in vitro assays with NCI-H295R cells, independently or by crosstalk.
The SKP2 gene has already been described in several tumorigenic processes [42,43]. Its high expression has already been correlated with colorectal cancer, breast cancer, and cervical cancer, with such high expression being associated with the degree of malignancy [44]. Also, a study on skeletal muscle atrophy has demonstrated that AMPK inhibition in skeletal muscle cells decreases autophagy and increases SKP2 protein expression [45]. In our study, treatment with Rottlerin at either of the tested concentrations reduced SKP2 protein expression after 12 h, and this reduction became more evident after treatment for 48 h. In addition, such treatment stimulated autophagy. Thus, we can suggest that AMPK activity inhibits SKP2 in ACT cells. However, further studies are needed to understand the role played by the AMPK/SKP2 axis in ACTs.
Other pathways have been reported to interact with AMPK in ACTs or in the tumorigenic process of other types of cancer, including the Hedgehog signaling pathway [20], the MAPK signaling pathway [45], tumor necrosis factor (TNF) [46], and nuclear factor kappa B (NFKB) [47,48].
Interestingly, these pathways were also enriched during transcriptome analysis in the NCI-H295R cell line after treatment with Rottlerin. We observed that these pathways were modulated after treatment with Rottlerin at IC50 compared to the control (DMSO). Among the upregulated developmental pathways, the Hedgehog pathway is the most significant. Among the Hedgehog pathway ligands, SHH is deregulated in ACTs in both adults and children [20]. AMPK’s association with the Hedgehog pathway has opposite effects on different tumors. In medulloblastoma cell lines, AMPK activation inhibits the transcriptional activity induced by the canonical SHH pathway through GLI1 phosphorylation [35]. In contrast, the activation of SMO, a gene that was upregulated in our RNASeq analysis, activates autophagy via LBK1-AMPK in the non-canonical Hedgehog pathway [49]. It is noteworthy that some of the genes associated with the Hedgehog pathway and upregulated in our RNASeq analyses have been described as important for neoplastic cell survival. CDON gene inhibition appears to promote a selective advantage in SHH-expressing tumors by blocking CDON-induced apoptosis [45]. Different GSK3 modulators have been suggested to trigger distinct targets that can induce or inhibit tumor cell proliferation depending on the tumor type [50]. New studies investigating this complex relationship between AMPK and the Hedgehog pathway are needed.
We found that the MAPK, NFKB, and TNF pathways were downregulated in NCI-H295R cells after treatment with Rottlerin. MAPK signaling is upregulated in several types of tumors, including malignant ACTs, and inhibiting this pathway decreases proliferation and steroid production in NCI-H297R cells [51]. A profound and complicated interaction between AMPK and MAPK has been described, demonstrating that there is an inhibitory crosstalk between MAPK and AMPK [37]. In addition to the MAPK pathway, the NFKB and TNF pathways were also downregulated in NCI-H295R cells after they were treated with Rottlerin. Studies have already described that AMPK inhibits NFKB and TNF [52,53,54,55]. However, our transcriptome results must be analyzed with caution, as they were performed in single replicates.
A potential bias of this study was the use of a single ACT cell line. However, NCI-H295R is the only commercially available strain. Another available adrenal tumor cell line is SW13, but it does not produce steroids, and it is not known whether the cell line is derived from a primary ACT or, more likely, from a metastatic tumor that has spread to the adrenal cortex [56]. For this reason, its use in in vitro studies has been discouraged.

5. Conclusions

Our results have shown that lower PRKAB2 gene expression is a potential marker of a worse prognosis in pediatric ACTs with an independent prediction capacity. Furthermore, the treatment of the NCI-H295R cell line with Rottlerin, a promising agent against ACTs, stimulates PRKAB2 and total and phosphorylated AMPK; inhibits the mTOR, Wnt/β-catenin, and SKP2 pathways; stimulates autophagy and apoptosis; and decreases cell viability, clonogenic capacity, and migration in in vitro assays. Treatment with Rottlerin also alters the mRNA levels of important pathways for the tumorigenic process, such as the Hedgehog, MAPK, NFKB, and TNF pathways. These results are promising, but further studies are needed to understand PRKAB2 in ACT cells and to determine on which molecular mechanisms Rottlerin acts.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/cancers16061094/s1: Table S1: The clinical and biological characteristics of the patients analyzed in the study; Table S2: Primer sequences used to evaluate the gene expression of the PRKAB2, TSC1, STK11, and GUS genes; and Supplementary Methods; Figure S1: Kaplan-Meier curves and log-rank test show a lower survival in stage IV patients in our cohort; Figure S2: (A) ENSAT patients in stages I, II, and III have lower PRKAB2 gene expression (p = 0.03); (B) IPACTR patients in stages I, II, and III showed lower expression of the PRKAB2 gene when compared to patients in stage IV (p = 0.019); (C) IPACTR2 Patients with stage I, II and III showed lower expression of the PRKAB2 gene when compared to controls (p = 0.014); (D) Modified Sandrini, patients with stages I, II and III lower PRKAB2 gene expression when compared to stage IV (p = 0.0197) (Mann-Whitney test); File S1: Full pictures of the Western blots.

Author Contributions

Conceptualization: L.G.T., E.T.V. and C.A.S.; Methodology: A.E.T.X., L.C.V. and C.A.S.; Validation: A.E.T.X., L.C.V., C.A.S., C.A.P.C., M.B. and M.S.R.; Software: L.F.P.N.; Formal Analysis: A.E.T.X., C.A.F.M., J.A.Y., S.R.B., S.A.R.A. and C.A.S.; Resources and Funding Acquisition: C.A.S. and L.G.T.; Data Curator: C.A.F.M., J.A.Y., S.R.B., S.A.R.A., R.d.G.d.P.Q., E.T.V. and C.A.S.; Writing: A.E.T.X. and C.A.S.; Writing—Proofreading and Editing: R.d.G.d.P.Q., E.T.V. and C.A.S. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by FAPESP grant numbers 2021/10702-9 and 2014/20341-0, National Council for Scientific and Technological Development (CNPq, MCTI, Brazil) grant number 406484/2022-8 (INCT BioOncoPed), and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001.

Institutional Review Board Statement

All the procedures performed in the studies involving human subjects complied with the institutional research committee’s ethical standards. This research was submitted and approved by the Research Ethics Committee of HC/FMRP-USP in 23 November 2022 (CAAE Nos. 62604816.4.0000.5440 and 65141422.2.0000.5440).

Informed Consent Statement

Informed consent was obtained from all the subjects involved in the study and their parents.

Data Availability Statement

The data presented in this study are available in this article and Supplementary Material.

Acknowledgments

We thank Emilia M. Pinto (St Jude Children’s Research Hospital) for her contribution with additional information on the COG cohort.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Erickson, L.A. Challenges in Surgical Pathology of Adrenocortical Tumours. Histopathology 2018, 72, 82–96. [Google Scholar] [CrossRef]
  2. Sakoda, A.; Mushtaq, I.; Levitt, G.; Sebire, N.J. Clinical and Histopathological Features of Adrenocortical Neoplasms in Children: Retrospective Review from a Single Specialist Center. J. Pediatr. Surg. 2014, 49, 410–415. [Google Scholar] [CrossRef] [PubMed]
  3. Sandrini, R.; Ribeiro, R.C.; DeLacerda, L. Childhood Adrenocortical Tumors. J. Clin. Endocrinol. Metab. 1997, 82, 2027–2031. [Google Scholar] [CrossRef] [PubMed]
  4. Rodriguez-Galindo, C.; Figueiredo, B.C.; Zambetti, G.P.; Ribeiro, R.C. Biology, Clinical Characteristics, and Management of Adrenocortical Tumors in Children. Pediatr. Blood Cancer 2005, 45, 265–273. [Google Scholar] [CrossRef] [PubMed]
  5. Ilanchezhian, M.; Varghese, D.G.; Glod, J.W.; Reilly, K.M.; Widemann, B.C.; Pommier, Y.; Kaplan, R.N.; Del Rivero, J. Pediatric Adrenocortical Carcinoma. Front. Endocrinol. 2022, 13, 961650. [Google Scholar] [CrossRef] [PubMed]
  6. Ciftci, A.O.; Şenocak, M.E.; Tanyel, F.C.; Büyükpamukçu, N. Adrenocortical Tumors in Children. J. Pediatr. Surg. 2001, 36, 549–554. [Google Scholar] [CrossRef]
  7. Melo-Leite, A.F.; Elias, P.C.; Teixeira, S.R.; Tucci, S., Jr.; Barros, G.E.; Antonini, S.R.; Muglia, V.F.; Elias, J., Jr. Adrenocortical Neoplasms in Adulthood and Childhood: Distinct Presentation. Review of the Clinical, Pathological, and Imaging Characteristics. J. Pediatr. Endocrinol. Metab. 2017, 30, 253–276. [Google Scholar] [CrossRef]
  8. Ribeiro, R.C.; Figueiredo, B. Childhood adrenocortical tumours. Eur. J. Cancer 2004, 40, 1117–1126. [Google Scholar] [CrossRef]
  9. Rodriguez-Galindo, C.; Krailo, M.D.; Pinto, E.M.; Pashankar, F.; Weldon, C.B.; Huang, L.; Caran, E.M.; Hicks, J.; McCarville, M.B.; Malkin, D.; et al. Treatment of Pediatric Adrenocortical Carcinoma with Surgery, Retroperitoneal Lymph Node Dissection, and Chemotherapy: The Children’s Oncology Group ARAR0332 Protocol. J. Clin. Oncol. 2021, 39, 2463–2473. [Google Scholar] [CrossRef]
  10. Pinto, E.M.; Zambetti, G.P.; Rodriguez-Galindo, C. Pediatric adrenocortical tumours. Best Pract. Res. Clin. Endocrinol. Metab. 2020, 34, 101448. [Google Scholar] [CrossRef] [PubMed]
  11. Mmsc, A.V.; Nehs, M.; Kilbridge, K. Treatment of Adrenocortical Carcinoma Anand. Surg. Pathol. 2019, 12, 997–1006. [Google Scholar] [CrossRef]
  12. Monteiro, N.M.L.; de Sá Rodrigues, K.E.; Vidigal, P.V.T.; de Oliveira, B.M. Carcinoma Adrenal Em Crianças: Estudo Longitudinal Em Minas Gerais, Brasil. Rev. Paul. Pediatr. 2019, 37, 20–26. [Google Scholar] [CrossRef] [PubMed]
  13. Thornton, C.; Snowden, M.A.; Carling, D. Identification of a Novel AMP-Activated Protein Kinase β Subunit Isoform That Is Highly Expressed in Skeletal Muscle. J. Biol. Chem. 1998, 273, 12443–12450. [Google Scholar] [CrossRef] [PubMed]
  14. Gschwendt, M.; Müller, H.J.; Kielbassa, K.; Zang, R.; Kittstein, W.; Rincke, G.; Marks, F. Rottlerin, a Novel Protein Kinase Inhibitor. Biochem. Biophys. Res. Commun. 1994, 199, 93–98. [Google Scholar] [CrossRef] [PubMed]
  15. Soltoff, S.P. Rottlerin Is a Mitochondrial Uncoupler That Decreases Cellular ATP Levels and Indirectly Blocks Protein Kinase Cδ Tyrosine Phosphorylation. J. Biol. Chem. 2001, 276, 37986–37992. [Google Scholar] [CrossRef]
  16. Ishaq, M.; Mahajan, P.; Jan, S.; Jain, S.K.; Tiwari, H.; Sandey, J.; Bharate, S.; Nargotra, A.; Hussain, S. Rottlerin Is a Pan Phosphodiesterase Inhibitor and Can Induce Neurodi Ff Erentiation in IMR-32 Human Neuroblastoma Cells. Eur. J. Pharmacol. 2019, 857, 172448. [Google Scholar] [CrossRef]
  17. Bazuine, M.; Van Der Zon, G.C.M.; Van De Ven, R.; Van Den Broek, P.J.A.; Maassen, J.A. Rottlerin Inhibits Multiple Steps Involved in Insulin-Induced Glucose Uptake in 3T3-L1 Adipocytes. Biochem. Pharmacol. 2004, 68, 105–112. [Google Scholar] [CrossRef] [PubMed]
  18. Sousa, D.; Pereira, S.S.; Pignatelli, D. Modulation of Autophagy in Adrenal Tumors. Front. Endocrinol. 2022, 13, 937367. [Google Scholar] [CrossRef] [PubMed]
  19. Leal, L.F.; Mermejo, L.M.; Ramalho, L.Z.; Martinelli, C.E.; Yunes, J.A.; Seidinger, A.L.; Mastellaro, M.J.; Cardinalli, I.A.; Brandalise, S.R.; Moreira, A.C.; et al. Wnt/β-Catenin Pathway Deregulation in Childhood Adrenocortical Tumors. J. Clin. Endocrinol. Metab. 2011, 96, 3106–3114. [Google Scholar] [CrossRef]
  20. Gomes, D.C.; Leal, L.F.; Mermejo, L.M.; Scrideli, C.A.; Martinelli, C.E.; Fragoso, M.C.B.V.; Latronico, A.C.; Tone, L.G.; Tucci, S.; Yunes, J.A.; et al. Sonic Hedgehog Signaling Is Active in Human Adrenal Cortex Development and Deregulated in Adrenocortical Tumors. J. Clin. Endocrinol. Metab. 2014, 99, 1209–1216. [Google Scholar] [CrossRef]
  21. Lira, R.C.P.; Fedatto, P.F.; Antonio, D.S.M.; Leal, L.F.; Martinelli, C.E.; De Castro, M.; Tucci, S.; Neder, L.; Ramalho, L.; Seidinger, A.L.; et al. IGF2 and IGF1R in Pediatric Adrenocortical Tumors: Roles in Metastasis and Steroidogenesis. Endocr. Relat. Cancer 2016, 23, 481–493. [Google Scholar] [CrossRef]
  22. Wasserman, J.D.; Novokmet, A.; Eichler-Jonsson, C.; Ribeiro, R.C.; Rodriguez-Galindo, C.; Zambetti, G.P.; Malkin, D. Prevalence and functional consequence of TP53 mutations in pediatric adrenocortical carcinoma: A children’s oncology group study. J. Clin. Oncol. 2015, 33, 602–609. [Google Scholar] [CrossRef]
  23. Abduch, R.H.; Bueno, A.C.; Leal, L.F.; Cavalcanti, M.M.; Gomes, D.C.; Brandalise, S.R.; Masterallo, M.J.; Yunes, J.A.; Martinelli, C.E., Jr.; Tone, L.G.; et al. Unraveling the expression of the oncogene YAP1, a Wnt/beta-catenin target, in adrenocortical tumors and its association with poor outcome in pediatric patients. Oncotarget 2016, 7, 84634–84644. [Google Scholar] [CrossRef]
  24. DeRan, M.; Yang, J.; Shen, C.H.; Peters, E.C.; Fitamant, J.; Chan, P.; Hsieh, M.; Zhu, S.; Asara, J.M.; Zheng, B.; et al. Energy stress regulates hippo-YAP signaling involving AMPK-mediated regulation of angiomotin-like 1 protein. Cell Rep. 2014, 9, 495–503. [Google Scholar] [CrossRef]
  25. Soltoff, S.P. Rottlerin: An Inappropriate and Ineffective Inhibitor of PKCδ. Trends Pharmacol. Sci. 2007, 28, 453–458. [Google Scholar] [CrossRef] [PubMed]
  26. Doghman, M.; El Wakil, A.; Cardinaud, B.; Thomas, E.; Wang, J.; Zhao, W.; Peralta-Del Valle, M.H.C.; Figueiredo, B.C.; Zambetti, G.P.; Lalli, E. Regulation of IGF—MTOR Signalling by MiRNA in Childhood Adrenocortical Tumors. Cancer Res. 2010, 70, OR20–OR24. [Google Scholar] [CrossRef] [PubMed]
  27. Livak, K.J.; Schmittgen, T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef] [PubMed]
  28. Moreira, A.C.; Elias, L.L. Pituitary-adrenal responses to corticotropin-releasing hormone in different degrees of adrenal 21-hydroxylase deficiency. J. Clin. Endocrinol. Metab. 1992, 74, 198–203. [Google Scholar] [CrossRef] [PubMed]
  29. Pinto, E.M.; Kiseljak-vassiliades, K.; Hantel, C.; Affairs, V.; Colorado, A. Contemporary Preclinical Human Models of Adrenocortical Carcinoma. Curr. Opin. Endocr. Metab. Res. 2020, 8, 139–144. [Google Scholar] [CrossRef] [PubMed]
  30. Michalkiewicz, E.; Sandrini, R.; Figueiredo, B.; Miranda, E.C.M.; Caran, E.; Oliveira-Filho, A.G.; Marques, R.; Pianovski, M.A.D.; Lacerda, L.; Cristofani, L.M.; et al. Clinical and Outcome Characteristics of Children with Adrenocortical Tumors: A Report From the International Pediatric Adrenocortical Tumor Registry. J. Clin. Oncol. 2021, 22, 838–845. [Google Scholar] [CrossRef]
  31. Cieslikowski, W.A.; Haber, T.; Krajnak, S.; Anic, K.; Hasenburg, A.; Mager, R.; Thüroff, J.W.; Brenner, W. Co-administration of tyrosine kinase inhibitors with rottlerin in metastatic prostate cancer cells. EXCLI J. 2021, 20, 1585–1596. [Google Scholar] [CrossRef] [PubMed]
  32. Alers, S.; Loffler, A.S.; Wesselborg, S.; Stork, B. Role of AMPK-MTOR-Ulk1/2 in the Regulation of Autophagy: Cross Talk, Shortcuts, and Feedbacks. Mol. Cell. Biol. 2012, 32, 2–11. [Google Scholar] [CrossRef] [PubMed]
  33. Høyer-Hansen, M.; Jäättelä, M. AMP-Activated Protein Kinase: A Universal Regulator of Autophagy? Autophagy 2007, 3, 381–383. [Google Scholar] [CrossRef]
  34. Maioli, E.; Torricelli, C.; Valacchi, G. Rottlerin and Cancer: Novel Evidence and Mechanisms. Sci. World J. 2012, 2012, 350826. [Google Scholar] [CrossRef] [PubMed]
  35. Li, N.; Huang, D.; Lu, N.; Luo, L. Role of the LKB1/AMPK Pathway in Tumor Invasion and Metastasis of Cancer Cells (Review). Oncol. Rep. 2015, 34, 2821–2826. [Google Scholar] [CrossRef] [PubMed]
  36. Luo, Z.; Saha, A.K.; Xiang, X.; Ruderman, N.B. AMPK, the Metabolic Syndrome and Cancer. Trends Pharmacol. Sci. 2005, 26, 69–76. [Google Scholar] [CrossRef] [PubMed]
  37. Yuan, J.; Dong, X.; Yap, J.; Hu, J. The MAPK and AMPK Signalings: Interplay and Implication in Targeted Cancer Therapy. J. Hematol. Oncol. 2020, 13, 113. [Google Scholar] [CrossRef]
  38. Duan, C.; Fang, Y.; Sun, J.; Li, Z.; Wang, Q.; Bai, J.; Peng, H.; Liang, J.; Gao, Z. Science of the Total Environment Effects of Fast Food Packaging Plasticizers and Their Metabolites on Steroid Hormone Synthesis in H295R Cells. Sci. Total Environ. 2020, 726, 138500. [Google Scholar] [CrossRef]
  39. Hurup, C.; Michelle, M.; Bjarne, L.K.B. Atorvastatin Decreases Steroid Production in H295R Cells and in Major Endocrine Tissues of Male Rats. Arch. Toxicol. 2018, 92, 1703–1715. [Google Scholar] [CrossRef]
  40. Lua, W.; Lina, C.; Lia, Y. Rottlerin Induces Wnt Co-Receptor LRP6 Degradation and Suppresses Both Wnt/β-Catenin and MTORC1 Signaling in Prostate and Breast Cancer Cells. Mol. Cell. Biochem. 2014, 26, 1303–1309. [Google Scholar] [CrossRef]
  41. Hermida, M.A.; Dinesh Kumar, J.; Leslie, N.R. GSK3 and Its Interactions with the PI3K/AKT/MTOR Signalling Network. Adv. Biol. Regul. 2017, 65, 5–15. [Google Scholar] [CrossRef]
  42. Iino, K.; Mitobe, Y.; Ikeda, K.; Takayama, K.I.; Suzuki, T.; Kawabata, H.; Suzuki, Y.; Horie-Inoue, K.; Inoue, S. RNA-Binding Protein NONO Promotes Breast Cancer Proliferation by Post-Transcriptional Regulation of SKP2 and E2F8. Cancer Sci. 2020, 111, 148–159. [Google Scholar] [CrossRef]
  43. Maimaitirexiati, G.; Tian, P.; Maimaiti, H.; Ding, L.; Ma, C.; Li, Y.; Wang, J.; Yan, Q.; Li, R. Expression and Correlation Analysis of Skp2 and CBX7 in Cervical Cancer. J. Clin. Pathol. 2021, 75, 851–856. [Google Scholar] [CrossRef]
  44. Yu, X.; Zhou, L.; Liu, W.; Liu, L.; Gao, F.; Li, W.; Liu, H. Skp2 Stabilizes Mcl-1 and Confers Radioresistance in Colorectal Cancer. Cell Death Dis. 2022, 13, 249. [Google Scholar] [CrossRef]
  45. Delloye-Bourgeois, C.; Gibert, B.; Rama, N.; Delcros, J.G.; Gadot, N.; Scoazec, J.Y.; Krauss, R.; Bernet, A.; Mehlen, P. Sonic Hedgehog Promotes Tumor Cell Survival by Inhibiting CDON Pro-Apoptotic Activity. PLoS Biol. 2013, 11, e1001623. [Google Scholar] [CrossRef]
  46. Lorea, C.F.; Moreno, D.A.; Borges, K.S.; Martinelli, C.E., Jr.; Antonini, S.R.; de Castro, M.; Tucci, S., Jr.; Neder, L.; Ramalho, L.N.; Cardinalli, I.; et al. Expression profile of apoptosis-related genes in childhood adrenocortical tumors: Low level of expression of BCL2 and TNF genes suggests a poor prognosis. Eur. J. Endocrinol. 2012, 167, 199–208. [Google Scholar] [CrossRef] [PubMed]
  47. Almeida, M.Q.; Azevedo, M.F.; Xekouki, P.; Bimpaki, E.I.; Horvath, A.; Collins, M.T.; Karaviti, L.P.; Jeha, G.S.; Bhattacharyya, N.; Cheadle, C.; et al. Activation of cyclic AMP signaling leads to different pathway alterations in lesions of the adrenal cortex caused by germline PRKAR1A defects versus those due to somatic GNAS mutations. J. Clin. Endocrinol. Metab. 2012, 97, E687–E693. [Google Scholar] [CrossRef] [PubMed]
  48. Hu, R.; Wang, M.Q.; Liu, L.Y.; You, H.Y.; Wu, X.H.; Liu, Y.Y.; Wang, Y.J.; Lu, L.; Xiao, W.; Wei, L.B. Calycosin Inhibited Autophagy and Oxidative Stress in Chronic Kidney Disease Skeletal Muscle Atrophy by Regulating AMPK/SKP2/CARM1 Signalling Pathway. J. Cell. Mol. Med. 2020, 24, 11084–11099. [Google Scholar] [CrossRef] [PubMed]
  49. Akhshi, T.; Trimble, W.S. A Non-Canonical Hedgehog Pathway Initiates Ciliogenesis and Autophagy. J. Cell Biol. 2021, 220, e202004179. [Google Scholar] [CrossRef] [PubMed]
  50. Mancinelli, R.; Carpino, G.; Petrungaro, S.; Mammola, C.L.; Tomaipitinca, L.; Filippini, A.; Facchiano, A.; Ziparo, E.; Giampietri, C. Multifaceted Roles of GSK-3 in Cancer and Autophagy-Related Diseases. Oxid. Med. Cell. Longev. 2017, 2017, 4629495. [Google Scholar] [CrossRef]
  51. Pereira, S.S.; Monteiro, M.P.; Costa, M.M.; Ferreira, J.; Alves, M.G.; Oliveira, P.F.; Jarak, I.; Pignatelli, D. MAPK/ERK Pathway Inhibition Is a Promising Treatment Target for Adrenocortical Tumors. J. Cell. Biochem. 2018, 120, 894–906. [Google Scholar] [CrossRef]
  52. Chiang, C.F.; Chao, T.T.; Su, Y.F.; Hsu, C.C.; Chien, C.Y.; Chiu, K.C.; Shiah, S.G.; Lee, C.H.; Liu, S.Y.; Shieh, Y.S. Metformin-Treated Cancer Cells Modulate Macrophage Polarization through AMPK-NF-ΚB Signaling. Oncotarget 2017, 8, 20706–20718. [Google Scholar] [CrossRef]
  53. Xiang, H.; Lin, L.; Hu, X.; Zhu, H.; Li, H.; Zhang, R.; Hu, L.; Liu, W.; Zhao, Y.; Shu, Y.; et al. AMPK Activation Attenuates Inflammatory Pain through Inhibiting NF-κB Activation and IL-1 β Expression. J. Neuroinflamm. 2019, 2, 34. [Google Scholar] [CrossRef] [PubMed]
  54. Cai, J.; Wang, Y.; Wang, X.; Ai, Z.; Li, T.; Pu, X.; Yang, X.; Yao, Y.; He, J.; Cheng, S.Y.; et al. AMPK Attenuates SHH Subgroup Medulloblastoma Growth and Metastasis by Inhibiting NF-ΚB Activation. Cell Biosci. 2023, 13, 15. [Google Scholar] [CrossRef] [PubMed]
  55. Keerthana, C.K.; Rayginia, T.P.; Shifana, S.C.; Anto, N.P.; Kalimuthu, K.; Isakov, N.; Anto, R.J. The Role of AMPK in Cancer Metabolism and Its Impact on the Immunomodulation of the Tumor Microenvironment. Front. Immunol. 2023, 14, 1114582. [Google Scholar] [CrossRef] [PubMed]
  56. Wang, T.; Rainey, W.E. Human adrenocortical carcinoma cell lines. Mol. Cell. Endocrinol. 2012, 351, 58–65. [Google Scholar] [CrossRef] [PubMed]
Cancers 16 01094 g001
Figure 1. (A) Kaplan–Meier curves and log-rank tests showing that patients with shorter overall survival (68.6%) had lower PRKAB2 gene expression compared to patients with longer overall survival (96.8%) (p = 0.004). (B) Patients with shorter event-free survival (52.9%) had lower PRKAB2 gene expression compared to patients with longer event-free survival (96.8%) (p < 0.001). (C) Patients who died had lower PRKAB2 gene expression (p = 0.0056) (Mann–Whitney test). (D) Relapsed patients had lower PRKAB2 gene expression (p = 0.0018) (Mann–Whitney test). (E) Patients with Sandrini IV staging showed lower PRKAB2 gene expression (p = 0.0197) (Mann–Whitney test).
Figure 1. (A) Kaplan–Meier curves and log-rank tests showing that patients with shorter overall survival (68.6%) had lower PRKAB2 gene expression compared to patients with longer overall survival (96.8%) (p = 0.004). (B) Patients with shorter event-free survival (52.9%) had lower PRKAB2 gene expression compared to patients with longer event-free survival (96.8%) (p < 0.001). (C) Patients who died had lower PRKAB2 gene expression (p = 0.0056) (Mann–Whitney test). (D) Relapsed patients had lower PRKAB2 gene expression (p = 0.0018) (Mann–Whitney test). (E) Patients with Sandrini IV staging showed lower PRKAB2 gene expression (p = 0.0197) (Mann–Whitney test).
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Cancers 16 01094 g002
Figure 2. (A) Kaplan–Meier curves and log-rank tests in the COG cohort showing that patients with shorter overall survival (n = 17) had lower PRKAB2 gene expression compared to patients with longer overall survival (n = 17) (p = 0.044). (B) Patients with shorter event-free survival (n = 17) had lower PRKAB2 gene expression compared to patients with longer event-free survival (n = 17) (p = 0.040). (C) Patients who died showed lower PRKAB2 gene expression (p = 0.0116) (Mann–Whitney test). (D) Patients who presented recurrence followed by metastasis showed lower PRKAB2 expression (p = 0.0094) (Mann–Whitney test). (E) Patients with Sandrini IV staging showed lower PRKAB2 gene expression (p = 0.0219) (Mann–Whitney test).
Figure 2. (A) Kaplan–Meier curves and log-rank tests in the COG cohort showing that patients with shorter overall survival (n = 17) had lower PRKAB2 gene expression compared to patients with longer overall survival (n = 17) (p = 0.044). (B) Patients with shorter event-free survival (n = 17) had lower PRKAB2 gene expression compared to patients with longer event-free survival (n = 17) (p = 0.040). (C) Patients who died showed lower PRKAB2 gene expression (p = 0.0116) (Mann–Whitney test). (D) Patients who presented recurrence followed by metastasis showed lower PRKAB2 expression (p = 0.0094) (Mann–Whitney test). (E) Patients with Sandrini IV staging showed lower PRKAB2 gene expression (p = 0.0219) (Mann–Whitney test).
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Cancers 16 01094 g003
Figure 3. Multivariate analysis using the Cox regression model according to overall (OS) and event-free survival (EFS). (A) Overall survival: patient’s age > 4 years (p = 0.093), tumor size < 200 cm3 (p = 0.023), tumor weight < 100 g (0.001), presence of metastasis (p = 0.985), and lower PRKAB2 gene expression (p = 0.006). (B) Event-free survival: patient’s age > 4 years (p = 0.27), tumor size < 200 cm3 (p = 0.248), tumor weight < 100 g (p = 0.007), presence of metastasis (p = 0.618), and lower PRKAB2 gene expression (p = 0.003).
Figure 3. Multivariate analysis using the Cox regression model according to overall (OS) and event-free survival (EFS). (A) Overall survival: patient’s age > 4 years (p = 0.093), tumor size < 200 cm3 (p = 0.023), tumor weight < 100 g (0.001), presence of metastasis (p = 0.985), and lower PRKAB2 gene expression (p = 0.006). (B) Event-free survival: patient’s age > 4 years (p = 0.27), tumor size < 200 cm3 (p = 0.248), tumor weight < 100 g (p = 0.007), presence of metastasis (p = 0.618), and lower PRKAB2 gene expression (p = 0.003).
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Cancers 16 01094 g004
Figure 4. (A) Cell viability curve for NCI-H295R cells after treatment with Rottlerin for 24, 48, or 72 h to calculate IC25 and IC50. (B) Rottlerin decreased cell viability at IC50 (** p = 0.0034). (C) Transwell test with DMSO or Rottlerin at IC50 or IC25 (D). Rottlerin at IC50 decreased cell migration (* p = 0.025). (E–G) Clonogenic assay using DMSO or Rottlerin at IC50 or IC25 showed that clonogenic capacity was reduced after treatment with Rottlerin for 24 h and 48 h at IC50 (* p = 0.0102) or IC25 (* p = 0.0102) (ANOVA test).
Figure 4. (A) Cell viability curve for NCI-H295R cells after treatment with Rottlerin for 24, 48, or 72 h to calculate IC25 and IC50. (B) Rottlerin decreased cell viability at IC50 (** p = 0.0034). (C) Transwell test with DMSO or Rottlerin at IC50 or IC25 (D). Rottlerin at IC50 decreased cell migration (* p = 0.025). (E–G) Clonogenic assay using DMSO or Rottlerin at IC50 or IC25 showed that clonogenic capacity was reduced after treatment with Rottlerin for 24 h and 48 h at IC50 (* p = 0.0102) or IC25 (* p = 0.0102) (ANOVA test).
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Cancers 16 01094 g005
Figure 5. (A) Rottlerin-induced AMPKβ2 protein overexpression in NCI-H95R cells after treatment for 48 h. The uncropped blots are shown in File S1. (B) Rottlerin-induced overexpression of the PRKAB2 gene in NCI-H95R cells after treatment for 48 h at IC50 (p = 0.0063) or IC25 (p = 0.0287).
Figure 5. (A) Rottlerin-induced AMPKβ2 protein overexpression in NCI-H95R cells after treatment for 48 h. The uncropped blots are shown in File S1. (B) Rottlerin-induced overexpression of the PRKAB2 gene in NCI-H95R cells after treatment for 48 h at IC50 (p = 0.0063) or IC25 (p = 0.0287).
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Cancers 16 01094 g006
Figure 6. (A) Rottlerin increased the levels of total and Thr-172-phosphorylated AMPK in NCI-H295R cells. The percentage was greater after treatment with Rottlerin at IC50 for 6 h. (B) Treatment with Rottlerin at IC50 or IC25 for 12, 24, or 48 h reduced mTOR and p-mTOR activity in NCI-H295R cells, but mTOR activity was higher after treatment with Rottlerin at IC50 or IC25 6 h. (C) Rottlerin reduced STK11 gene expression in NCI-H295R cells (p = 0.0033). (D) Rottlerin at IC50 increased TSC1 gene mRNA (p = 0.0141) in NCI-H295R cells. (E) Rottlerin at IC50 or IC525 decreased STAR steroid factor gene expression (p = 0.0280 and 0.0061, respectively) in NCI-H295R cells. (F) Treatment with Rottlerin for 24 or 48 h induced the protein expression of autophagy (MAP LC3beta) and apoptosis (Bax) markers. (G) Protein quantification of the LC3beta autophagy marker. The uncropped blots are shown in File S1.
Figure 6. (A) Rottlerin increased the levels of total and Thr-172-phosphorylated AMPK in NCI-H295R cells. The percentage was greater after treatment with Rottlerin at IC50 for 6 h. (B) Treatment with Rottlerin at IC50 or IC25 for 12, 24, or 48 h reduced mTOR and p-mTOR activity in NCI-H295R cells, but mTOR activity was higher after treatment with Rottlerin at IC50 or IC25 6 h. (C) Rottlerin reduced STK11 gene expression in NCI-H295R cells (p = 0.0033). (D) Rottlerin at IC50 increased TSC1 gene mRNA (p = 0.0141) in NCI-H295R cells. (E) Rottlerin at IC50 or IC525 decreased STAR steroid factor gene expression (p = 0.0280 and 0.0061, respectively) in NCI-H295R cells. (F) Treatment with Rottlerin for 24 or 48 h induced the protein expression of autophagy (MAP LC3beta) and apoptosis (Bax) markers. (G) Protein quantification of the LC3beta autophagy marker. The uncropped blots are shown in File S1.
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Cancers 16 01094 g007
Figure 7. Hormone dosage after treatment with Rottlerin at IC50 or IC25. (A) The cortisol level was significantly reduced, and the reduction was more significant after treatment with Rottlerin at IC50. (B) The testosterone level was reduced, without statistical significance between the Rottlerin concentrations. (C) The androstenedione level was significantly reduced, and the reduction was more significant after treatment with Rottlerin at IC50. The Two-Way ANOVA test was used.
Figure 7. Hormone dosage after treatment with Rottlerin at IC50 or IC25. (A) The cortisol level was significantly reduced, and the reduction was more significant after treatment with Rottlerin at IC50. (B) The testosterone level was reduced, without statistical significance between the Rottlerin concentrations. (C) The androstenedione level was significantly reduced, and the reduction was more significant after treatment with Rottlerin at IC50. The Two-Way ANOVA test was used.
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Cancers 16 01094 g008
Figure 8. (A) Treatment with Rottlerin at IC50 or IC25 for 12, 24, or 48 h inhibited the β-catenin and β-catenin-activated protein expression levels in NCI-H295R cells. (B) NCI-H295R cells treated with Rottlerin for 6 h showed slightly increased p-GSK3β and total GSK3B, but treatment for 12, 24, or 48 h decreased the concentrations of these proteins. (C) Treatment with Rottlerin at IC25 decreased MYC gene expression in NCI-H295R cells (p = 0.0012). (D) Treatment with Rottlerin at IC25 decreased TCF7 gene expression in NCI-H295R cells (p < 0.0001). (E) Treatment with Rottlerin at IC25 decreased TCF7 gene expression in NCI-H295R cells (p = 0.0006). (F) Treatment with Rottlerin at IC25 decreased LEF1 gene expression in NCI-H295R cells (p = 0.0235). (G) Treatment with Rottlerin at IC25 decreased Axin2 gene expression in NCI-H295R cells (p < 0.0001). (H) Treatment with Rottlerin at IC50 for 48 h increased GSK3B gene expression in NCI-H295R cells (p = 0.0085). The uncropped blots are shown in File S1.
Figure 8. (A) Treatment with Rottlerin at IC50 or IC25 for 12, 24, or 48 h inhibited the β-catenin and β-catenin-activated protein expression levels in NCI-H295R cells. (B) NCI-H295R cells treated with Rottlerin for 6 h showed slightly increased p-GSK3β and total GSK3B, but treatment for 12, 24, or 48 h decreased the concentrations of these proteins. (C) Treatment with Rottlerin at IC25 decreased MYC gene expression in NCI-H295R cells (p = 0.0012). (D) Treatment with Rottlerin at IC25 decreased TCF7 gene expression in NCI-H295R cells (p < 0.0001). (E) Treatment with Rottlerin at IC25 decreased TCF7 gene expression in NCI-H295R cells (p = 0.0006). (F) Treatment with Rottlerin at IC25 decreased LEF1 gene expression in NCI-H295R cells (p = 0.0235). (G) Treatment with Rottlerin at IC25 decreased Axin2 gene expression in NCI-H295R cells (p < 0.0001). (H) Treatment with Rottlerin at IC50 for 48 h increased GSK3B gene expression in NCI-H295R cells (p = 0.0085). The uncropped blots are shown in File S1.
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Cancers 16 01094 g009
Figure 9. Treatment with Rottlerin for 12, 24, or 48 h reduced the SKP2 protein level in NCI-H295R cells. The uncropped blots are shown in File S1.
Figure 9. Treatment with Rottlerin for 12, 24, or 48 h reduced the SKP2 protein level in NCI-H295R cells. The uncropped blots are shown in File S1.
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Cancers 16 01094 g010
Figure 10. (A) In orange, positively regulated pathways, with p < 0.05. (B) In green, gene ontology, positively regulated pathways, with p < 0.05. (C) In orange, negatively regulated pathways, with p < 0.05. (D) In green, gene ontology, negatively regulated pathways, with p < 0.05. Pathway enrichment was analyzed by using the Enrichr platform (https://maayanlab.cloud/Enrichr/ (accessed on 23 February 2023)).
Figure 10. (A) In orange, positively regulated pathways, with p < 0.05. (B) In green, gene ontology, positively regulated pathways, with p < 0.05. (C) In orange, negatively regulated pathways, with p < 0.05. (D) In green, gene ontology, negatively regulated pathways, with p < 0.05. Pathway enrichment was analyzed by using the Enrichr platform (https://maayanlab.cloud/Enrichr/ (accessed on 23 February 2023)).
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Cancers 16 01094 g011
Figure 11. Pathway genes enriched during RNAseq analysis. (A) Hedgehog pathway gene expression level (p = 0.003) as LogFC. (B) MAPK pathway gene expression level (p < 0.001) as LogFC. (C) NF-KB pathway gene expression level (p = 0.002) as LogFC. (D) TNF gene expression level (p < 0.001) as LogFC.
Figure 11. Pathway genes enriched during RNAseq analysis. (A) Hedgehog pathway gene expression level (p = 0.003) as LogFC. (B) MAPK pathway gene expression level (p < 0.001) as LogFC. (C) NF-KB pathway gene expression level (p = 0.002) as LogFC. (D) TNF gene expression level (p < 0.001) as LogFC.
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Table 1. Analysis of five-year overall (5y-OS) and five-year event-free (5y-EFS) survival rates according to the clinical characteristics.
Table 1. Analysis of five-year overall (5y-OS) and five-year event-free (5y-EFS) survival rates according to the clinical characteristics.
Variablesn5y-EFS (%)p-Value5y-OS (%)p-Value
Age63 0.032 0.006
<4 years4582.2%91.1%
>4 years1855.6%61.1%
Gender63 0.228 0.503
Male1361.5%76.9%
Female5078.6%84%
Size63 0.001 <0.001
<200 cm³5084.0%92%
>200 cm³1338.5%46.2%
Weight *62 0.001 <0.001
<100 g4087.5%97.5%
>100 g2250.0%54.5%
p. R337h63 0.267 0.150
Present5472.2%79.6%
Absent988.9%100%
Modified Sandrini63
I3889.5%<0.00194.4%<0.001
II1464.371.4%
III3100%100%
IV812.5%25%
Metastasis63 <0.001 <0.001
Present714.6%28.6%
Absent5682.1%89.3%
* A patient had no record of tumor weight. EFS—event-free survival; OS—overall survival.
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MDPI and ACS Style

Xavier, A.E.T.; Veronez, L.C.; Nagano, L.F.P.; Correa, C.A.P.; Baroni, M.; Ramos, M.S.; Queiroz, R.d.G.d.P.; Fernandes Molina, C.A.; Yunes, J.A.; Brandalise, S.R.; et al. Low PRKAB2 Expression Is Associated with Poor Outcomes in Pediatric Adrenocortical Tumors, and Treatment with Rottlerin Increases the PRKAB2 Level and Inhibits Tumorigenic Aspects in the NCI-H295R Adrenocortical Cancer Cell Line. Cancers 2024, 16, 1094. https://doi.org/10.3390/cancers16061094

AMA Style

Xavier AET, Veronez LC, Nagano LFP, Correa CAP, Baroni M, Ramos MS, Queiroz RdGdP, Fernandes Molina CA, Yunes JA, Brandalise SR, et al. Low PRKAB2 Expression Is Associated with Poor Outcomes in Pediatric Adrenocortical Tumors, and Treatment with Rottlerin Increases the PRKAB2 Level and Inhibits Tumorigenic Aspects in the NCI-H295R Adrenocortical Cancer Cell Line. Cancers. 2024; 16(6):1094. https://doi.org/10.3390/cancers16061094

Chicago/Turabian Style

Xavier, Alcides Euzebio Tavares, Luciana Chain Veronez, Luís Fernando Peinado Nagano, Carolina Alves Pereira Correa, Mirela Baroni, Milena Silva Ramos, Rosane de Gomes de Paula Queiroz, Carlos Augusto Fernandes Molina, José Andres Yunes, Silvia Regina Brandalise, and et al. 2024. "Low PRKAB2 Expression Is Associated with Poor Outcomes in Pediatric Adrenocortical Tumors, and Treatment with Rottlerin Increases the PRKAB2 Level and Inhibits Tumorigenic Aspects in the NCI-H295R Adrenocortical Cancer Cell Line" Cancers 16, no. 6: 1094. https://doi.org/10.3390/cancers16061094

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