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MINI REVIEW article

Front. Oncol., 08 December 2022
Sec. Thoracic Oncology
This article is part of the Research Topic Optimizing Outcomes and Addressing Adversities of Immunotherapy in Lung Cancer View all 17 articles

Current and novel therapeutic strategies for optimizing immunotherapy outcomes in advanced non-small cell lung cancer

  • 1Department of Medical Oncology, Thoracic Oncology Section, Alexander Fleming Cancer Institute, Buenos Aires, Argentina
  • 2Department of Clinical Research, Alexander Fleming Cancer Institute, Buenos Aires, Argentina

During the past decade, immunotherapy has dramatically improved the outcomes of patients with non-small cell lung cancer (NSCLC). The development of specific antibodies against the programmed death (PD1) receptor and its ligand PD-L1 (programmed death ligand-1) has demonstrated substantial efficacy in advanced NSCLC either in the first or in the second line. However, the success of immune checkpoint inhibitors (ICIs) as monotherapy did not reach all patients and long-term responders still represent a small subset of cases. Under these circumstances, different strategies have been and are being tested to optimize clinical outcomes. Here, we reviewed the current evidence and the more promising perspectives of ICI combination approaches, such as the addition of chemotherapy, antiangiogenic agents, other co-inhibitory or co-stimulatory checkpoints, and targeted therapies.

Introduction

During the past decade, the advent of immunotherapy has dramatically changed the outcomes of patients with non-small cell lung cancer (NSCLC) (1). The growing understanding of the environment in which tumor and immune cells interact led to the discovery of immune checkpoint inhibitors (ICIs) that block inhibitory pathways that physiologically control the immune response driving to restore and sustain the immune system against cancer cells (2).

Under this circumstance, the development of specific antibodies against the programmed death (PD1) receptor and its ligand PD-L1 (programmed death ligand-1) has led to a change of paradigm in the therapeutic strategies of advanced NSCLC either in the first- or in the second-line setting. Importantly, these drugs have unprecedented prolonged survival for a substantial proportion of these patients (3). However, not all NSCLCs respond appropriately to ICI as monotherapy, and long-term responders still represent a limited group that is challenging to find and predict. The objective response rate when using first-line single-agent ICI treatment is below 45% in highly biomarker-selected NSCLC patients such as PD-L1 expression (4). Furthermore, 40% to 60% of patients experienced disease progression within the first 6 months of treatment. Of note, this situation differs substantially from those reported for the efficacy of targeted therapy in oncogene-addicted NSCLC (5).

In this context, we are now in a race to find different strategies to optimize the efficacy of immunotherapy in lung cancer. The recent understanding of de novo or adaptive resistance, as well as the mechanisms involved in the induction of an effective antitumor immune response, provides the rationale for several established and novel ICI combination approaches such as the addition of chemotherapy, antiangiogenic agents, other immunotherapy, or targeted therapies. Here, we reviewed the current evidence and the more promising perspectives in this field.

First-line combinations with chemotherapy

It has been demonstrated that modulation of the immune response through PD-1 inhibition may be enhanced by the synergistic immunogenic effects of cytotoxic chemotherapy by different mechanisms, including increasing the potential for antigen cross-presentation by dendritic cells after the destruction of tumor cells, induction of proinflammatory cytokines, inhibition of myeloid-derived suppressor cells, and induction of PD-L1 expression on tumor cells (610). Following this rationale, the combination of chemotherapy plus ICI has been tested in several NSCLC phase III clinical trials in the first-line setting. Notably, this approach has shown substantial efficacy when compared with platinum-based chemotherapy in unselected PD-L1 expression for both histology tumors among phase III clinical trials in the first-line scenario (Figure 1) (1122). The addition of chemotherapy to ICI reported global overall response rates (ORRs) between 45% and 75%. Across all the trials, the immune-chemotherapy strategy significantly prolonged the median progression-free survival (PFS) compared with chemotherapy, showing safety and a generally manageable toxicity profile. However, overall survival (OS) improvement was not consistent in all the studies. Impower-131 and Impower-132 trials did not demonstrate a statistically significant difference in the intention-to-treat OS analysis, potentially explained by subsequent second-line treatments, percentage of PD-L1 tumor expression, patient population selection, overperformance of comparators arms, and possible differences across PD-1 and PD-L1 treatments.

FIGURE 1
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Figure 1 Phase III trials assessing an immune checkpoint inhibitor + chemotherapy strategies in the first-line setting in nonsquamous and squamous non-small cell lung cancer with outcomes. HR, hazard ratio; OS, overall survival; PFS, progression-free survival; ORR, overall response rate; NR, not reached (overall survival). * Significant improvement.

First-line immunotherapy combinations

PD-1 and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) are complementary coinhibitory receptors that modulate T-cell responses (23). Thus, using antibodies to blockade both receptors simultaneously has been fruitful in many tumor types, including melanoma, renal cell carcinoma, malignant pleural mesothelioma, esophageal squamous cell carcinoma, microsatellite instability-high colorectal cancer, hepatocellular carcinoma, and NSCLC (2430).

The promising results in phase I and II trials using anti-PD-1 plus anti-CTL-4 antibodies led to the evaluation of this dual strategy alone or in combination with chemotherapy in the advanced NSCLC first-line scenario (Figure 2). Phase III Checkmate 227 investigated the efficacy of nivolumab alone or in combination with chemotherapy or ipilimumab as first-line therapy in stage IV or recurrent patients with NSCLC. The randomization was performed according to PD-L1-positive or -negative. In both groups, nivolumab plus ipilimumab significantly improved OS compared with chemotherapy alone. Of note, nivolumab plus ipilimumab showed numerically better efficacy compared with nivolumab monotherapy in patients with tumors with PD-L1 expression ≥ 1% and PD-L1 ≥ 50% (30). In this specific exploratory analysis, tumors with PD-L1 ≥ 50% presented 4-year OS rates of 37%, 26%, and 20% with nivolumab plus ipilimumab, nivolumab alone, and chemotherapy alone, respectively.

FIGURE 2
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Figure 2 Phase III trials assessing immune checkpoint inhibitor combination and antiangiogenic drug combination strategies in the first-line setting in non-small cell lung cancer with outcomes. HR, hazard ratio; OS, overall survival; PFS, progression-free survival; ORR, overall response rate. * Significant improvement. a Significantly improvement of PFS in patients with a high tumor mutational burden (≥10 mutations per megabase). b Nivolumab + ipilimumab vs. chemotherapy. c Durvalumab vs. chemotherapy. d Atezolizumab + carboplatin + paclitaxel vs. bevacizumab + carboplatin + paclitaxel. e Atezolizumab + bevacizumab + carboplatin + paclitaxel vs. bevacizumab + carboplatin + paclitaxel.

Notably, in the phase III MYSTIC trial, the combination of durvalumab (anti-PD-L1) plus tremelimumab (anti-CTLA-4) could not improve OS against chemotherapy in PD-L1 ≥ 25% first-line advanced NSCLC (31).

To mitigate the inferior outcomes during the first months when using PD-1 plus CTLA-4 blockade, two trials evaluated the addition of chemotherapy to this regimen. The phase III CheckMate-9LA tested nivolumab plus ipilimumab plus two cycles of chemotherapy demonstrating a significant PFS and OS improvement versus chemotherapy alone in treatment naïve, stage IV, or recurrent NSCLC (Figure 2) (32). Similarly, the POSEIDON trial also reported superiority in terms of OS and PFS with first-line durvalumab plus tremelimumab plus chemotherapy versus chemotherapy alone in a recent press release announced (33).

Combinations with antiangiogenics

Angiogenesis and immunosuppression are both physiological mechanisms involved in nonpathological tissue repair that can be taken advantage of by cancer development and progression (34). Several pro-angiogenic molecules, such as the vascular endothelial growth factor (VEGF), have been linked to a range of immunosuppressive effects at successive steps in the cancer immunity cycle, such as antigen presentation, T-cell priming, T-cell trafficking, and T-cell tumor infiltration (35).

Although blood vessel formation within solid tumors is necessary for cancer survival, tumor abnormal vasculature is characterized by dilated and fragile vessels, which result in leaking, hypoxia, acidosis, and high interstitial pressure. The normalization of this vasculature by specific therapies, such as chemotherapy, irradiation, or especially anti-VEGF antibody, leads to increased T-cell infiltration and therefore enhances tumor immunogenicity (36).

Otherwise, multi-kinase inhibitors such as lenvatinib, cabozantinib, and axitinib, with a preferential antiangiogenic activity, have reported efficacy in combination with anti-PD-1/L1 ICI in some tumor models including renal cell carcinoma and endometrial cancer (3741). Additionally, bevacizumab plus atezolizumab resulted in positive outcomes in systemic treatment-naive and unresectable hepatocellular carcinoma (42). Although all this evidence supports the combination of ICI and antiangiogenic agents as a successful strategy for some tumor models, previous limited phase I and II trials using this approach reported modest activity in NSCLC (43, 44).

In NSCLC, some trials such as the phase III LEAP-006 evaluate the combination of chemotherapy plus pembrolizumab and lenvatinib in first-line nonsquamous tumors. Preliminary results of the open-label safety run-in (part 1) showed a promising ORR of 69.2% among 13 evaluated patients (45). Additionally, the phase II WJOG @Be study reported encouraging results when testing atezolizumab with bevacizumab for advanced treatment-naive nonsquamous NSCLC with PD-L1 expression ≥50%. In this trial, ORR was 64.1% and median PFS was 15.9 months (46).

Moreover, the phase II Lung-MAP S1800A study testing ramucirumab plus pembrolizumab versus standard of care chemotherapy ± ramucirumab for advanced NSCLC previously treated with immunotherapy demonstrated a significant OS improvement with the combination, whereas no differences were observed in PFS and ORR (22% vs. 28% in combination and standard of care, respectively) (47). Similarly, results from the phase Ib COSMIC-021 were modest when comparing cabozantinib plus atezolizumab (cohort 7) or cabozantinib alone (cohort 20) in patients with advanced NSCLC previously treated with ICIs. In this study, ORR and median PFS were respectively 19% and 4.5 months with the combination, versus 6% and 3.4 months with cabozantinib alone (48).

To date, the most promising was the combination of ICI with antiangiogenic agents and doublet chemotherapy (Figure 2). The phase III Impower-150 compared atezolizumab–bevacizumab carboplatin–paclitaxel (ABCP) or atezolizumab–carboplatin–paclitaxel (ACP) versus bevacizumab–carboplatin–paclitaxel (BCP) in nonsquamous metastatic NSCLC. In the intention-to-treat populations, ABCP showed superior PFS and OS compared to BCP (HR 0.57 [0.48–0.67]) and OS (19.5 months vs. 14.7 months; HR 0.80 [0.67–0.95]) (49). However, no differences were observed between ACP and BCP arms. Interestingly, an exploratory analysis showed an OS improvement with ABCP versus BCP in special subgroups with low benefit from ICI monotherapies, such as sensitizing EGFR mutations (HR 0.60 [0.31–1.14]), and patients with baseline liver metastases (HR 0.52 [0.33–0.82]) (50).

Newly emerging co-inhibitory and co-stimulatory checkpoints

The positive clinical impact when using the combination of anti-CTLA-4 and anti-PD-L1 has driven the investigation of other promissory ICI combinations that may increase efficacy. Importantly, resistance to immunotherapy is associated with loss of immunogenic neoantigens, an increase of immunosuppressive cells, and upregulation of alternate immune checkpoint receptors (51). As a consequence, this provides a potential opportunity for novel emerging co-inhibitory and co-stimulatory immune checkpoints.

TIGIT

T-cell immunoreceptor with immunoglobulin and ITIM domain (TIGIT) is an encouraging new target for cancer immunotherapy. TIGIT is upregulated by immune cells, including activated T cells, natural killer cells, and regulatory T cells. TIGIT binds to two ligands (CD155 and CD112) that are expressed by tumor cells and antigen-presenting cells in the tumor microenvironment (52). Furthermore, TIGIT is coexpressed with PD-1 on exhausted T cells supporting a strong rationale for the dual blockade in restoring T-cell immunity (53). This double inhibition synergizes the proliferation and function of antitumor CD8 T cells, resulting in protective memory T cells and complete tumor rejection (5355).

Several anti-TIGIT candidate drugs are in development in clinical trials, but tiragolumab is the most advanced. The phase II CITYSCAPE study evaluated tiragolumab plus atezolizumab versus placebo plus atezolizumab as first-line treatment in patients with PD-L1-positive EGFR/ALK wild-type locally advanced or metastatic NSCLC. A higher efficacy was shown with the combination compared with atezolizumab monotherapy (ORR 37% versus 21%, and PFS HR 0.58 [0.39 to 0.88]) (56). A particular benefit was observed in those tumors with PD-L1 ≥ 50% (ORR 66% for combination versus 24% for atezolizumab alone). These findings supported the ongoing phase III SKYSCRAPER-01 with a similar drug arms design, for patients with PD-L1-high locally advanced or metastatic NSCLC. Unfortunately, a recent press release revealed that this trial did not meet the co-primary PFS end point (57).

In addition, a phase I study testing vibostolimab (other anti-TIGIT) showed an ORR of 26% when combined with pembrolizumab in anti-PD-1/PD-L1-naive patients with NSCLC, but minimal efficacy in the anti-PD-1/PD-L1 refractory cohort (ORR 3%) (58).

These results highlight that single anti-TIGIT agents seem not to be an effective strategy, whereas the coadministration with an anti-PD-1/PD-L1 or especially with chemotherapy may be useful and needs to be tested in ongoing clinical trials (NCT04619797, NCT04513925, NCT0495881, NCT04738487, NCT04725188, NCT05226598, NCT05298423, and NCT04165070).

LAG-3

The transmembrane protein Lymphocyte-activation gene 3 (LAG3, CD223) is an immune inhibitory checkpoint and is expressed on the surface of lymphocytes, such as CD4+ T cells, CD8+ T cells, natural killer (NK) cells, NK T (NKT) cells, and regulatory T (Treg) cells, which appear when T cells are activated (5962). The intracellular signaling pathways of LAG3 play a role in the regulation of immune cell function as the coexpression of LAG3 with other inhibitory molecules, including PD-1, TIGIT, TIM-3, 2B4, and CD160, inhibits the tumor immune microenvironment by accelerating T-cell exhaustion and blocking T-cell proliferation (63). The high expression of LAG3 has been associated with unfavorable clinical outcomes in various tumor types including NSCLC (6466). Furthermore, ICIs can induce resistance through the activation of additional immune checkpoints such as LAG-3 (67).

Since LAG-3 and PD-1 are complementary inhibitory immune checkpoints, dual LAG-3/PD-1 blockade provided a consistent rationale for predicting clinical benefits. In this sense, the combination of the LAG-3-blocking antibody relatlimab and nivolumab has recently revealed a greater benefit in metastatic or unresectable melanoma in the phase II to III RELATIVITY-047 trial (68).

In lung cancer, the combination of eftilagimod alpha, a soluble LAG-3 protein that mediates antigen-presenting cell and CD8 T-cell activation, with pembrolizumab was tested in PD-L1 unselected metastatic NSCLC in the first-line setting (phase II TACTI-002 trial). Among the 36 patients included, response rates by different PD-L1 subgroups were 27% for patients with tumor proportion score (TPS) <1%, 39% for TPS ≥1%, and 54% for ≥50% TPS. Median PFS was 8.2 months while the median OS was not yet reached (69).

Following the favorable evidence in melanoma, current ongoing clinical trials are investigating safety and efficacy of anti-LAG3 drugs in NSCLC (NCT04623775, NCT04205552, NCT04140500, NCT03219268, NCT03365791, NCAGN02385, NCT03849469, NCT02750514, NCT02465060, NCT03780725, NCT03516981, NCT02460224, NCT03250832, NCT01968109, NCT03005782, NCT02966548, and NCT03459222).

VISTA

V-domain Ig suppressor of T-cell activation (VISTA) is a protein capable of acting as both a ligand and a receptor. VISTA suppresses T-cell proliferation and reduces cytokine production, including IL-10, TNF-α, and IFN-γ (70). Therefore, VISTA blockade can potentially enhance antitumor immune responses. In a phase II pan tumor trial, an oral dual blocker anti-VISTA and PD-L1 agent (CA-170) showed a clinical benefit of 75% and a median PFS of 19.5 weeks among eight previously treated nonsquamous NSCLC patients (71). Of note, several VISTA-targeting inhibitors are being tested in phase I and II trials in patients with metastatic or unresectable solid tumor malignancy including NSCLC (NCT05082610, NCT02671955, and NCT02812875).

TIM-3

TIM-3 is another inhibitory immune checkpoint molecule similar to CTLA-4 and PD-1. Interaction of TIM-3 with its ligands has been shown to induce T-cell inhibition (72, 73). Interestingly, TIM-3 overexpression has been associated as a negative prognostic marker in NSCLC patients (74). Since the discovery of the negative impact on the immune system by upregulated TIM-3 and PD-L1 coexpression in melanoma, a combination blockade strategy was proposed to restore the T-cell exhaustion (75). The only current clinical data available are a preliminary analysis from the phase I AMBER trial, which included 39 patients with NSCLC who had progressed following initial anti-PD-1 treatment and were tested to receive the anti-TIM-3 antibody cobolimab alone, and in combination with the anti-PD-1 dostarlimab. Of the 20 patients who received the higher dose of cobolimab and were evaluable for response, 3 (15%) had confirmed partial responses and 8 (40%) had stable disease. Notably, all objective responses were among patients with PD-L1 TPS ≥1 (76). Other investigational agents targeting TIM-3 are presently being evaluated in ongoing phase I and II clinical trials enrolling NSCLC patients (NCT03708328, NCT04931654, NCT03652077, NCT03307785, NCT02608268, NCT03099109, NCT03744468, and NCT02817633).

Co-stimulation

Co-stimulatory immune molecules promote T-cell activation and antitumor immunity. Agonist antibodies against co-stimulatory molecules such as 4-1BB (CD137), OX40 (CD134), and ICOS (CD278) are being investigated in combination with anti-PD-1 agents. However, to date, prohibitive toxicity profiles and modest responses were observed in phase I multi-tumor trials including advanced NSCLC patients (7782).

Oncolytic viruses

Oncolytic virus therapy is a novel strategy that promotes immune activation via targeted immunogenic cell death. The most developed oncolytic virus T-VEC demonstrated interesting efficacy by injecting intratumorally in patients with melanoma in a phase III study, which led to FDA approval in 2015 (83). However, limited studies evaluated this strategy in lung cancer. Phase Ib KEYNOTE-200 investigated the intravenously delivered oncolytic virus Coxsackievirus A21 (CVA21, CAVATAK) in combination with pembrolizumab in advanced NSCLC and bladder cancer, demonstrating encouraging overall responses of 23% and 33% in 31 ICI-naïve and 21 EGFR/ALK mutation-negative NSCLC patients, respectively (84).

Targeted therapy

Primarily, the presence of specific oncogene-addicted driver mutations and co-mutations, such as STK11 and KEAP1, has been previously linked to a negative impact on ICI efficacy in NSCLC (8587).

Preclinical data demonstrated that KRAS-G12C inhibition drives antitumor immunity by enhancing the tumor microenvironment with CD8 T cells, macrophages, and CD103 cross-presenting dendritic cells (88). Consequently, the recent development of direct KRAS-G12C inhibitors has gained interest in the utility of combining KRAS inhibition with immunotherapy, especially for PD-1 refractory KRAS-STK11 and KRAS-KEAP1 co-mutated advanced NSCLC. As a consequence, multiple ongoing clinical trials are evaluating KRAS-G12C inhibitors in combination with ICI (NCT03600883, NCT04613596, NCT04449874, NCT04699188, and NCT03785249).

Moreover, based on data from The Cancer Genome Atlas, lung cancer exhibits high levels of homologous recombination deficiency associated with particular mutational signatures. Given these findings, several studies are evaluating PARP inhibitors in combination with chemotherapy and PD-1 blockade in first-line NSCLC (NCT03976323, NCT03976362, and NCT04475939) (89). However, the toxicity profile may still represent a limitation for these combinations since grade ≥3 treatment-emergent adverse events occurred in 88.2% of cases in the phase II JASPER trial evaluating first-line niraparib plus pembrolizumab in patients with advanced NSCLC (90).

Discussion

ICIs have opened a new era in cancer treatment and particularly for lung cancer. The unprecedented efficacy in NSCLC has begun to resonate with the question of whether the possibility of a cure, at least for a still small subset of patients with advanced disease, is closer. Strong progress has been made in this field, and new challenges for the coming years will be the focus on improving efficacy through a long-term durable response for a larger group of patients. In the course of optimizing the clinical outcomes of ICI in NSCLC, some important steps have substantially impacted patients’ survival, such as the combination of anti-PD-1/L1 with chemotherapy, another ICI, and antiangiogenic agents. Today, multiple strategies are being tested with promising results, from adding different co-inhibitory and co-stimulatory checkpoints, to the combination of ICI with targeted therapy to synergize the anticancer effect.

Altogether this progress was led by a deeper understanding of the defects or alterations in the complex biological relationship processes between the tumor, the microenvironment, and the host, as well as broader insights into the mechanism underlying the resistance of ICI. Regarding the tumor cell-intrinsic features, some areas are of crucial interest beyond the PD-L1 expression as the most studied biomarker in the immunotherapy field. In this context, the study of somatic mutations in the cancer genome that increase tumor mutational and neoantigen burdens has been strongly related to the efficacy of ICI (91). Additionally, multiple efforts are being made to properly characterize the deficiency in neoantigen presentation, aberrations in oncogenes and tumor suppressor genes that regulate immune response (e.g., KRAS, STK11/KEAP1), and the study of genetic alterations in DNA replication and repair genes, epigenetic modulation, and alterations in the interferon-gamma (INF-g) signaling cascade (92). Furthermore, the feature of the tumor microenvironment is now of remarkable interest and is being associated with ICI activity, including the investigation of the phenotype of T-infiltrating lymphocytes, tumor-infiltrating B cells, tertiary lymphoid structures, tumor-associated macrophages, cancer-associated fibroblasts, and endothelial cells. Finally, active investigations are focusing on a comprehensive understanding of the host-related characteristics. Multiple studies have associated the gut microbiome, patient concomitant medications, and autoimmunity with ICI response and/or toxicity (92).

Certainly, as research grows rapidly in this field, the challenge of designing rational and synergistic ICI combination approaches will lead to a lower risk of resistance and prolonged benefits for patient outcomes.

Author contributions

All authors contributed to the article and approved the submitted version.

Conflict of interest

CM works as a speaker in Roche, MSD, BMS, Boehringer Ingelheim, Astra Zeneca, and Pfizer.

The remaining author declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Howlader N, Forjaz G, Mooradian MJ, Meza R, Kong CY, Cronin KA, et al. The effect of advances in lung-cancer treatment on population mortality. N Engl J Med (2020) 383(7):640–9. doi: 10.1056/NEJMoa1916623

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Pardoll DM. The blockade of immune checkpoints in cancer immunotherapy. Nat Rev Cancer (2012) 12(4):252–64. doi: 10.1038/nrc3239

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Shields MD, Marin-Acevedo JA, Pellini B. Immunotherapy for advanced non–small cell lung cancer: A decade of progress. Am Soc Clin Oncol Educ Book (2021) 41:1–23. doi: 10.1200/EDBK_321483

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Reck M, Remon J, Hellmann MD. First-line immunotherapy for non-Small-Cell lung cancer. J Clin Oncol Off J Am Soc Clin Oncol (2022) 40(6):586–97. doi: 10.1200/JCO.21.01497

CrossRef Full Text | Google Scholar

5. Tan AC, Tan DSW. Targeted therapies for lung cancer patients with oncogenic driver molecular alterations. J Clin Oncol Off J Am Soc Clin Oncol (2022) 40(6):611–25. doi: 10.1200/JCO.21.01626

CrossRef Full Text | Google Scholar

6. Palmer A, Izar B, Hwangbo H, Sorger P. Combinatorial benefit without synergy in recent clinical trials of immune checkpoint inhibitor. Cancer Research (2020) 80 16_Supplement:1047–1047. doi: 10.1101/2020.01.31.20019604

CrossRef Full Text | Google Scholar

7. Rapoport BL, Anderson R. Realizing the clinical potential of immunogenic cell death in cancer chemotherapy and radiotherapy. Int J Mol Sci (2019) 20(4):E959. doi: 10.3390/ijms20040959

CrossRef Full Text | Google Scholar

8. Bracci L, Schiavoni G, Sistigu A, Belardelli F. Immune-based mechanisms of cytotoxic chemotherapy: implications for the design of novel and rationale-based combined treatments against cancer. Cell Death Differ (2014) 21(1):15–25. doi: 10.1038/cdd.2013.67

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Wang Z, Till B, Gao Q. Chemotherapeutic agent-mediated elimination of myeloid-derived suppressor cells. Oncoimmunology (2017) 6(7):e1331807. doi: 10.1080/2162402X.2017.1331807

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Peng J, Hamanishi J, Matsumura N, Abiko K, Murat K, Baba T, et al. Chemotherapy induces programmed cell death-ligand 1 overexpression via the nuclear factor-κB to foster an immunosuppressive tumor microenvironment in ovarian cancer. Cancer Res (2015) 75(23):5034–45. doi: 10.1158/0008-5472.CAN-14-3098

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Gray J, Rodríguez-Abreu D, Powell SF, Hochmair MJ, Gadgeel S, Esteban E, et al. FP13.02 pembrolizumab + pemetrexed-platinum vs pemetrexed-platinum for metastatic NSCLC: 4-year follow-up from KEYNOTE-189. J Thorac Oncol (2021) 16(3):S224. doi: 10.1016/j.jtho.2021.01.141

CrossRef Full Text | Google Scholar

12. Nishio M, Barlesi F, West H, Ball S, Bordoni R, Cobo M, et al. Atezolizumab plus chemotherapy for first-line treatment of nonsquamous NSCLC: Results from the randomized phase 3 IMpower132 trial. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer (2021) 16(4):653–64. doi: 10.1016/j.jtho.2020.11.025

CrossRef Full Text | Google Scholar

13. West H, McCleod M, Hussein M, Morabito A, Rittmeyer A, Conter HJ, et al. Atezolizumab in combination with carboplatin plus nab-paclitaxel chemotherapy compared with chemotherapy alone as first-line treatment for metastatic non-squamous non-small-cell lung cancer (IMpower130): a multicentre, randomised, open-label, phase 3 trial. Lancet Oncol (2019) 20(7):924–37. doi: 10.1016/S1470-2045(19)30167-6

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Yang Y, Wang Z, Fang J, Yu Q, Han B, Cang S, et al. Efficacy and safety of sintilimab plus pemetrexed and platinum as first-line treatment for locally advanced or metastatic nonsquamous NSCLC: a randomized, double-blind, phase 3 study (Oncology pRogram by InnovENT anti-PD-1-11). J Thorac Oncol Off Publ Int Assoc Study Lung Cancer (2020) 15(10):1636–46. doi: 10.1016/j.jtho.2020.07.014

CrossRef Full Text | Google Scholar

15. Lu S, Wang J, Yu Y, Yu X, Hu Y, Ai X, et al. Tislelizumab plus chemotherapy as first-line treatment for locally advanced or metastatic nonsquamous NSCLC (RATIONALE 304): A randomized phase 3 trial. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer (2021) 16(9):1512–22. doi: 10.1016/j.jtho.2021.05.005

CrossRef Full Text | Google Scholar

16. Zhou C, Chen G, Huang Y, Zhou J, Lin L, Feng J, et al. Camrelizumab plus carboplatin and pemetrexed versus chemotherapy alone in chemotherapy-naive patients with advanced non-squamous non-small-cell lung cancer (CameL): a randomised, open-label, multicentre, phase 3 trial. Lancet Respir Med (2021) 9(3):305–14. doi: 10.1016/S2213-2600(20)30365-9

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Robinson AG, Vicente D, Tafreshi A, Parra HS, Mazieres J, Cicin I, et al. 97O first-line pembrolizumab plus chemotherapy for patients with advanced squamous NSCLC: 3-year follow-up from KEYNOTE-407. J Thorac Oncol (2021) 16(4):S748–9. doi: 10.1016/S1556-0864(21)01939-0

CrossRef Full Text | Google Scholar

18. Jotte R, Cappuzzo F, Vynnychenko I, Stroyakovskiy D, Rodríguez-Abreu D, Hussein M, et al. Atezolizumab in combination with carboplatin and nab-paclitaxel in advanced squamous NSCLC (IMpower131): Results from a randomized phase III trial. J Thorac Oncol (2020) 15(8):1351–60. doi: 10.1016/j.jtho.2020.03.028

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Zhou C, Ren S, Chen J, Xu X, Cheng Y, Chen G, et al. 96O camrelizumab or placebo plus carboplatin and paclitaxel as first-line treatment for advanced squamous NSCLC (CameL-sq): A randomized, double-blind, multicenter, phase III trial. J Thorac Oncol (2021) 16(4):S748. doi: 10.1016/S1556-0864(21)01938-9

CrossRef Full Text | Google Scholar

20. Zhou C, Wang Z, Sun Y, Cao L, Ma Z, Wu R, et al. Sugemalimab versus placebo, in combination with platinum-based chemotherapy, as first-line treatment of metastatic non-small-cell lung cancer (GEMSTONE-302): interim and final analyses of a double-blind, randomised, phase 3 clinical trial. Lancet Oncol (2022) 23(2):220–33. doi: 10.1016/S1470-2045(21)00650-1

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Wang J, Lu S, Yu X, Hu Y, Sun Y, Wang Z, et al. Tislelizumab plus chemotherapy vs chemotherapy alone as first-line treatment for advanced squamous non–Small-Cell lung cancer: A phase 3 randomized clinical trial. JAMA Oncol (2021) 7(5):709–17. doi: 10.1001/jamaoncol.2021.0366

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Zhou C, Wu L, Fan Y, Wang Z, Liu L, Chen G, et al. Sintilimab plus platinum and gemcitabine as first-line treatment for advanced or metastatic squamous NSCLC: Results from a randomized, double-blind, phase 3 trial (ORIENT-12). J Thorac Oncol (2021) 16(9):1501–11. doi: 10.1016/j.jtho.2021.04.011

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Wei SC, Sharma R, Anang NAAS, Levine JH, Zhao Y, Mancuso JJ, et al. Negative Co-stimulation constrains T cell differentiation by imposing boundaries on possible cell states. Immunity (2019) 50(4):1084–1098.e10. doi: 10.1016/j.immuni.2019.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Hodi FS, Chiarion-Sileni V, Gonzalez R, Grob JJ, Rutkowski P, Cowey CL, et al. Nivolumab plus ipilimumab or nivolumab alone versus ipilimumab alone in advanced melanoma (CheckMate 067): 4-year outcomes of a multicentre, randomised, phase 3 trial. Lancet Oncol (2018) 19(11):1480–92. doi: 10.1016/S1470-2045(18)30700-9

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Albiges L, Tannir NM, Burotto M, McDermott D, Plimack ER, Barthélémy P, et al. Nivolumab plus ipilimumab versus sunitinib for first-line treatment of advanced renal cell carcinoma: extended 4-year follow-up of the phase III CheckMate 214 trial. ESMO Open (2020) 5(6):e001079. doi: 10.1136/esmoopen-2020-001079

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Baas P, Scherpereel A, Nowak AK, Fujimoto N, Peters S, Tsao AS, et al. First-line nivolumab plus ipilimumab in unresectable malignant pleural mesothelioma (CheckMate 743): a multicentre, randomised, open-label, phase 3 trial. Lancet (2021) 397(10272):375–86. doi: 10.1016/S0140-6736(20)32714-8

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Doki Y, Ajani JA, Kato K, Xu J, Wyrwicz L, Motoyama S, et al. Nivolumab combination therapy in advanced esophageal squamous-cell carcinoma. N Engl J Med (2022) 386(5):449–62. doi: 10.1056/NEJMoa2111380

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Lenz HJ, Van Cutsem E, Luisa Limon M, Wong KYM, Hendlisz A, Aglietta M, et al. First-line nivolumab plus low-dose ipilimumab for microsatellite instability-High/Mismatch repair-deficient metastatic colorectal cancer: The phase II CheckMate 142 study. J Clin Oncol Off J Am Soc Clin Oncol (2022) 40(2):161–70. doi: 10.1200/JCO.21.01015

CrossRef Full Text | Google Scholar

29. Yau T, Kang YK, Kim TY, El-Khoueiry AB, Santoro A, Sangro B, et al. Efficacy and safety of nivolumab plus ipilimumab in patients with advanced hepatocellular carcinoma previously treated with sorafenib: The CheckMate 040 randomized clinical trial. JAMA Oncol (2020) 6(11):e204564. doi: 10.1001/jamaoncol.2020.4564

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Paz-Ares LG, Ramalingam SS, Ciuleanu TE, Lee JS, Urban L, Caro RB, et al. First-line nivolumab plus ipilimumab in advanced NSCLC: 4-year outcomes from the randomized, open-label, phase 3 CheckMate 227 part 1 trial. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer (2022) 17(2):289–308. doi: 10.1016/j.jtho.2021.09.010

CrossRef Full Text | Google Scholar

31. Rizvi NA, Cho BC, Reinmuth N, Lee KH, Luft A, Ahn MJ, et al. Durvalumab with or without tremelimumab vs standard chemotherapy in first-line treatment of metastatic non-small cell lung cancer: The MYSTIC phase 3 randomized clinical trial. JAMA Oncol (2020) 6(5):661–74. doi: 10.1001/jamaoncol.2020.0237

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Paz-Ares L, Ciuleanu TE, Cobo M, Schenker M, Zurawski B, Menezes J, et al. First-line nivolumab plus ipilimumab combined with two cycles of chemotherapy in patients with non-small-cell lung cancer (CheckMate 9LA): an international, randomised, open-label, phase 3 trial. Lancet Oncol (2021) 22(2):198–211. doi: 10.1016/S1470-2045(20)30641-0

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Imfinzi and tremelimumab with chemotherapy demonstrated overall survival benefit in POSEIDON trial for 1st-line stage IV non-small cell lung cancer. Available at: https://www.astrazeneca.com/media-centre/press-releases/2021/imfinzi-and-tremelimumab-showed-survival-in-poseidon.html (Accessed June 1, 2022).

Google Scholar

34. Motz GT, Coukos G. The parallel lives of angiogenesis and immunosuppression: cancer and other tales. Nat Rev Immunol (2011) 11(10):702–11. doi: 10.1038/nri3064

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Chen DS, Mellman I. Oncology meets immunology: the cancer-immunity cycle. Immunity (2013) 39(1):1–10. doi: 10.1016/j.immuni.2013.07.012

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Oelkrug C, Ramage JM. Enhancement of T cell recruitment and infiltration into tumours. Clin Exp Immunol (2014) 178(1):1–8. doi: 10.1111/cei.12382

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Motzer R, Alekseev B, Rha SY, Porta C, Eto M, Powles T, et al. Lenvatinib plus pembrolizumab or everolimus for advanced renal cell carcinoma. N Engl J Med (2021) 384(14):1289–300. doi: 10.1056/NEJMoa2035716

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Makker V, Rasco D, Vogelzang NJ, Brose MS, Cohn AL, Mier J, et al. Lenvatinib plus pembrolizumab in patients with advanced endometrial cancer: an interim analysis of a multicentre, open-label, single-arm, phase 2 trial. Lancet Oncol (2019) 20(5):711–8. doi: 10.1016/S1470-2045(19)30020-8

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Choueiri TK, Powles T, Burotto M, Escudier B, Bourlon MT, Zurawski B, et al. Nivolumab plus cabozantinib versus sunitinib for advanced renal-cell carcinoma. N Engl J Med (2021) 384(9):829–41. doi: 10.1056/NEJMoa2026982

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Motzer RJ, Penkov K, Haanen J, Rini B, Albiges L, Campbell MT, et al. Avelumab plus axitinib versus sunitinib for advanced renal-cell carcinoma. N Engl J Med (2019) 380(12):1103–15. doi: 10.1056/NEJMoa1816047

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Rini BI, Plimack ER, Stus V, Gafanov R, Hawkins R, Nosov D, et al. Pembrolizumab plus axitinib versus sunitinib for advanced renal-cell carcinoma. N Engl J Med (2019) 380(12):1116–27. doi: 10.1056/NEJMoa1816714

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Finn RS, Qin S, Ikeda M, Galle PR, Ducreux M, Kim TY, et al. Atezolizumab plus bevacizumab in unresectable hepatocellular carcinoma. N Engl J Med (2020) 382(20):1894–905. doi: 10.1056/NEJMoa1915745

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Herbst RS, Arkenau HT, Santana-Davila R, Calvo E, Paz-Ares L, Cassier PA, et al. Ramucirumab plus pembrolizumab in patients with previously treated advanced non-small-cell lung cancer, gastro-oesophageal cancer, or urothelial carcinomas (JVDF): a multicohort, non-randomised, open-label, phase 1a/b trial. Lancet Oncol (2019) 20(8):1109–23. doi: 10.1016/S1470-2045(19)30458-9

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Herbst RS, Arkenau HT, Bendell J, Arrowsmith E, Wermke M, Soriano A, et al. Phase 1 expansion cohort of ramucirumab plus pembrolizumab in advanced treatment-naive NSCLC. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer (2021) 16(2):289–98. doi: 10.1016/j.jtho.2020.10.004

CrossRef Full Text | Google Scholar

45. Nishio M, Peled N, Zer A, Houghton B, Bar J, Drew D, et al. 1313P phase III LEAP-006 safety run-in (Part 1): 1L pembrolizumab (Pembro)+ chemotherapy (Chemo) with lenvatinib (Len) for metastatic NSCLC. Ann Oncol (2020) 31:S848–9. doi: 10.1016/j.annonc.2020.08.1627

CrossRef Full Text | Google Scholar

46. Seto T, Nosaki K, Shimokawa M, Toyozawa R, Sugawara S, Hayashi H, et al. LBA55 WJOG@ be study: a phase II study of atezolizumab (atez) with bevacizumab (bev) for non-squamous (sq) non-small cell lung cancer (NSCLC) with high PD-L1 expression. Ann Oncol (2020) 31:S1185–6. doi: 10.1016/j.annonc.2020.08.2288

CrossRef Full Text | Google Scholar

47. Reckamp KL, Redman MW, Dragnev KH, Villaruz LC, Faller BA, Al Baghdadi T, et al. Overall survival from a phase II randomized study of ramucirumab plus pembrolizumab versus standard of care for advanced non–small cell lung cancer previously treated with immunotherapy: Lung-MAP nonmatched substudy S1800A. J Clin Oncol (2022) 40(16_suppl):9004–4. doi: 10.1200/JCO.2022.40.16_suppl.9004

CrossRef Full Text | Google Scholar

48. Neal JW, Santoro A, Viteri S, Ponce Aix S, Fang B, Lim FL, et al. Cabozantinib (C) plus atezolizumab (A) or c alone in patients (pts) with advanced non–small cell lung cancer (aNSCLC) previously treated with an immune checkpoint inhibitor (ICI): Results from cohorts 7 and 20 of the COSMIC-021 study. J Clin Oncol (2022) 40(16_suppl):9005–5. doi: 10.1200/JCO.2022.40.16_suppl.9005

CrossRef Full Text | Google Scholar

49. Socinski MA, Nishio M, Jotte RM, Cappuzzo F, Orlandi F, Stroyakovskiy D, et al. IMpower150 final overall survival analyses for atezolizumab plus bevacizumab and chemotherapy in first-line metastatic nonsquamous NSCLC. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer (2021) 16(11):1909–24. doi: 10.1016/j.jtho.2021.07.009

CrossRef Full Text | Google Scholar

50. Reck M, Mok TSK, Nishio M, Jotte RM, Cappuzzo F, Orlandi F, et al. Atezolizumab plus bevacizumab and chemotherapy in non-small-cell lung cancer (IMpower150): key subgroup analyses of patients with EGFR mutations or baseline liver metastases in a randomised, open-label phase 3 trial. Lancet Respir Med (2019) 7(5):387–401. doi: 10.1016/S2213-2600(19)30084-0

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Sharma P, Hu-Lieskovan S, Wargo JA, Ribas A. Primary, adaptive, and acquired resistance to cancer immunotherapy. Cell (2017) 168(4):707–23. doi: 10.1016/j.cell.2017.01.017

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Chauvin JM, Zarour HM. TIGIT in cancer immunotherapy. J Immunother Cancer (2020) 8(2):e000957. doi: 10.1136/jitc-2020-000957

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Johnston RJ, Comps-Agrar L, Hackney J, Yu X, Huseni M, Yang Y, et al. The immunoreceptor TIGIT regulates antitumor and antiviral CD8(+) T cell effector function. Cancer Cell (2014) 26(6):923–37. doi: 10.1016/j.ccell.2014.10.018

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Zhang Q, Bi J, Zheng X, Chen Y, Wang H, Wu W, et al. Blockade of the checkpoint receptor TIGIT prevents NK cell exhaustion and elicits potent anti-tumor immunity. Nat Immunol (2018) 19(7):723–32. doi: 10.1038/s41590-018-0132-0

PubMed Abstract | CrossRef Full Text | Google Scholar

55. He W, Zhang H, Han F, Chen X, Lin R, Wang W, et al. CD155T/TIGIT signaling regulates CD8+ T-cell metabolism and promotes tumor progression in human gastric cancer. Cancer Res (2017) 77(22):6375–88. doi: 10.1158/0008-5472.CAN-17-0381

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Patil N, Cho BC, Johnson M, Caro RB, Spira A, Chiu C, et al. P77.02 efficacy of tiragolumab + atezolizumab in PD-L1 IHC and TIGIT subgroups in the phase II CITYSCAPE study in first-line NSCLC. J Thorac Oncol (2021) 16(3):S635–6. doi: 10.1016/j.jtho.2021.01.1160

CrossRef Full Text | Google Scholar

57. SKYSCRAPER-1 trial does not meet end point of PFS with tiragolumab plus atezolizumab in NSCLC. cancer network. Available at: https://www.cancernetwork.com/view/skyscraper-1-trial-does-not-meet-end-point-of-pfs-with-tiragolumab-plus-atezolizumab-in-nsclc (Accessed June 1, 2022).

Google Scholar

58. Niu J, Maurice-Dror C, Lee DH, Kim DW, Nagrial A, Voskoboynik M, et al. First-in-human phase 1 study of the anti-TIGIT antibody vibostolimab as monotherapy or with pembrolizumab for advanced solid tumors, including non-small-cell lung cancer☆. Ann Oncol Off J Eur Soc Med Oncol (2022) 33(2):169–80. doi: 10.1016/j.annonc.2021.11.002

CrossRef Full Text | Google Scholar

59. Andrews LP, Marciscano AE, Drake CG, Vignali DAA. LAG3 (CD223) as a cancer immunotherapy target. Immunol Rev (2017) 276(1):80–96. doi: 10.1111/imr.12519

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Solinas C, Migliori E, De Silva P, Willard-Gallo K. LAG3: The biological processes that motivate targeting this immune checkpoint molecule in human cancer. Cancers (2019) 11(8):E1213. doi: 10.3390/cancers11081213

CrossRef Full Text | Google Scholar

61. Ruffo E, Wu RC, Bruno TC, Workman CJ, Vignali DAA. Lymphocyte-activation gene 3 (LAG3): The next immune checkpoint receptor. Semin Immunol (2019) 42:101305. doi: 10.1016/j.smim.2019.101305

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Camisaschi C, Casati C, Rini F, Perego M, De Filippo A, Triebel F, et al. LAG-3 expression defines a subset of CD4(+)CD25(high)Foxp3(+) regulatory T cells that are expanded at tumor sites. J Immunol Baltim Md 1950 (2010) 184(11):6545–51. doi: 10.4049/jimmunol.0903879

CrossRef Full Text | Google Scholar

63. Wei SC, Duffy CR, Allison JP. Fundamental mechanisms of immune checkpoint blockade therapy. Cancer Discovery (2018) 8(9):1069–86. doi: 10.1158/2159-8290.CD-18-0367

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Wang J, Sanmamed MF, Datar I, Su TT, Ji L, Sun J, et al. Fibrinogen-like protein 1 is a major immune inhibitory ligand of LAG-3. Cell (2019) 176(1-2):334–347.e12. doi: 10.1016/j.cell.2018.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Kamal AM, Wasfey EF, Elghamry WR, Sabry OM, Elghobary HA, Radwan SM. Genetic signature of CTLA-4, BTLA, TIM-3 and LAG-3 molecular expression in colorectal cancer patients: Implications in diagnosis and survival outcomes. Clin Biochem (2021) 96:13–8. doi: 10.1016/j.clinbiochem.2021.06.007

PubMed Abstract | CrossRef Full Text | Google Scholar

66. He Y, Yu H, Rozeboom L, Rivard CJ, Ellison K, Dziadziuszko R, et al. LAG-3 protein expression in non-small cell lung cancer and its relationship with PD-1/PD-L1 and tumor-infiltrating lymphocytes. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer (2017) 12(5):814–23. doi: 10.1016/j.jtho.2017.01.019

CrossRef Full Text | Google Scholar

67. Zaremba A, Eggermont AMM, Robert C, Dummer R, Ugurel S, Livingstone E, et al. The concepts of rechallenge and retreatment with immune checkpoint blockade in melanoma patients. Eur J Cancer Oxf Engl 1990 (2021) 155:268–80. doi: 10.1016/j.ejca.2021.07.002

CrossRef Full Text | Google Scholar

68. Tawbi HA, Schadendorf D, Lipson EJ, Ascierto PA, Matamala L, Castillo Gutiérrez E, et al. Relatlimab and nivolumab versus nivolumab in untreated advanced melanoma. N Engl J Med (2022) 386(1):24–34. doi: 10.1056/NEJMoa2109970

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Clay TD, Majem M, Felip E, Doger B, Carcereny Costa E, Forster M, et al. Results from a phase II study of eftilagimod alpha (soluble LAG-3 protein) and pembrolizumab in patients with PD-L1 unselected metastatic non-small cell lung carcinoma. J Clin Oncol (2021) 39(15_suppl):9046–6. doi: 10.1200/JCO.2021.39.15_suppl.9046

CrossRef Full Text | Google Scholar

70. Lines JL, Pantazi E, Mak J, Sempere LF, Wang L, O’Connell S, et al. VISTA is an immune checkpoint molecule for human T cells. Cancer Res (2014) 74(7):1924–32. doi: 10.1158/0008-5472.CAN-13-1504

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Radhakrishnan V, Banavali S, Gupta S, Kumar A, Deshmukh CD, Nag S, et al. Excellent CBR and prolonged PFS in non-squamous NSCLC with oral CA-170, an inhibitor of VISTA and PD-L1. Ann Oncol (2019) 30:v494. doi: 10.1093/annonc/mdz253.035

CrossRef Full Text | Google Scholar

72. Gao X, Zhu Y, Li G, Huang H, Zhang G, Wang F, et al. TIM-3 expression characterizes regulatory T cells in tumor tissues and is associated with lung cancer progression. PloS One (2012) 7(2):e30676. doi: 10.1371/journal.pone.0030676

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Sakuishi K, Apetoh L, Sullivan JM, Blazar BR, Kuchroo VK, Anderson AC. Targeting Tim-3 and PD-1 pathways to reverse T cell exhaustion and restore anti-tumor immunity. J Exp Med (2010) 207(10):2187–94. doi: 10.1084/jem.20100643

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Zang K, Hui L, Wang M, Huang Y, Zhu X, Yao B. TIM-3 as a prognostic marker and a potential immunotherapy target in human malignant tumors: A meta-analysis and bioinformatics validation. Front Oncol [Internet]. (2021)[cited 2022 Jun 1];11. Available from: https://www.frontiersin.org/article/10.3389/fonc.2021.579351.

Google Scholar

75. Fourcade J, Sun Z, Benallaoua M, Guillaume P, Luescher IF, Sander C, et al. Upregulation of Tim-3 and PD-1 expression is associated with tumor antigen-specific CD8+ T cell dysfunction in melanoma patients. J Exp Med (2010) 207(10):2175–86. doi: 10.1084/jem.20100637

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Davar D, Boasberg P, Eroglu Z, Falchook G, Gainor J, Hamilton E. A phase 1 study of TSR-022, an anti-TIM-3 monoclonal antibody, in combination with TSR-042 (anti-PD-1) in patients with colorectal cancer and post-PD-1 NSCLC and melanoma. J Immunother Cancer (2018) 6(Suppl 1):115O21. doi: 10.1186/s40425-018-0423-x

CrossRef Full Text | Google Scholar

77. Sznol M, Hodi FS, Margolin K, McDermott DF, Ernstoff MS, Kirkwood JM, et al. Phase I study of BMS-663513, a fully human anti-CD137 agonist monoclonal antibody, in patients (pts) with advanced cancer (CA). J Clin Oncol (2008) 26(15_suppl):3007–7. doi: 10.1200/jco.2008.26.15_suppl.3007

CrossRef Full Text | Google Scholar

78. Tolcher AW, Sznol M, Hu-Lieskovan S, Papadopoulos KP, Patnaik A, Rasco DW, et al. Phase ib study of utomilumab (PF-05082566), a 4-1BB/CD137 agonist, in combination with pembrolizumab (MK-3475) in patients with advanced solid tumors. Clin Cancer Res Off J Am Assoc Cancer Res (2017) 23(18):5349–57. doi: 10.1158/1078-0432.CCR-17-1243

CrossRef Full Text | Google Scholar

79. Goldman JW, Piha-Paul SA, Curti BD, Pedersen K, Bauer TM, Groenland SL, et al. Safety and tolerability of MEDI0562 in combination with durvalumab or tremelimumab in patients with advanced solid tumors. J Clin Oncol (2020) 38(15_suppl):3003–3. doi: 10.1200/JCO.2020.38.15_suppl.3003

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Postel-Vinay S, Lam VK, Ros W, Bauer TM, Hansen AR, Cho DC, et al. Abstract CT150: A first-in-human phase I study of the OX40 agonist GSK3174998 (GSK998) +/- pembrolizumab in patients (Pts) with selected advanced solid tumors (ENGAGE-1). Cancer Res (2020) 80(16_Supplement):CT150. doi: 10.1158/1538-7445.AM2020-CT150

CrossRef Full Text | Google Scholar

81. Gutierrez M, Moreno V, Heinhuis KM, Olszanski AJ, Spreafico A, Ong M, et al. OX40 agonist BMS-986178 alone or in combination with nivolumab and/or ipilimumab in patients with advanced solid tumors. Clin Cancer Res (2021) 27(2):460–72. doi: 10.1158/1078-0432.CCR-20-1830

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Yap TA, Burris HA, Kummar S, Falchook GS, Pachynski RK, LoRusso P, et al. ICONIC: Biologic and clinical activity of first in class ICOS agonist antibody JTX-2011 +/- nivolumab (nivo) in patients (pts) with advanced cancers. J Clin Oncol (2018) 36(15_suppl):3000–0. doi: 10.1200/JCO.2018.36.15_suppl.3000

CrossRef Full Text | Google Scholar

83. Andtbacka RHI, Collichio F, Harrington KJ, Middleton MR, Downey G, Öhrling K, et al. Final analyses of OPTiM: a randomized phase III trial of talimogene laherparepvec versus granulocyte-macrophage colony-stimulating factor in unresectable stage III-IV melanoma. J Immunother Cancer (2019) 7(1):145. doi: 10.1186/s40425-019-0623-z

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Rudin CM, Pandha HS, Gupta S, Zibelman MR, Akerley W, Day D, et al. Phase ib KEYNOTE-200: A study of an intravenously delivered oncolytic virus, coxsackievirus A21 in combination with pembrolizumab in advanced NSCLC and bladder cancer patients. Ann Oncol (2018) 29:viii732. doi: 10.1093/annonc/mdy424.050

CrossRef Full Text | Google Scholar

85. Mazieres J, Drilon AE, Mhanna L, Milia J, Lusque A, Cortot AB, et al. Efficacy of immune-checkpoint inhibitors (ICI) in non-small cell lung cancer (NSCLC) patients harboring activating molecular alterations (ImmunoTarget). J Clin Oncol (2018) 36(15_suppl):9010–0. doi: 10.1200/JCO.2018.36.15_suppl.9010

CrossRef Full Text | Google Scholar

86. Ricciuti B, Arbour KC, Lin JJ, Vajdi A, Vokes N, Hong L, et al. Diminished efficacy of programmed death-(Ligand)1 inhibition in STK11- and KEAP1-mutant lung adenocarcinoma is affected by KRAS mutation status. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer (2022) 17(3):399–410. doi: 10.1016/j.jtho.2021.10.013

CrossRef Full Text | Google Scholar

87. Arbour K, Shen R, Plodkowski A, Rizvi H, Ni A, Long N, et al. MA19.09 concurrent mutations in STK11 and KEAP1 is associated with resistance to PD-(L)1 blockade in patients with NSCLC despite high TMB. J Thorac Oncol (2018) 13(10):S424. doi: 10.1016/j.jtho.2018.08.480

CrossRef Full Text | Google Scholar

88. Canon J, Rex K, Saiki AY, Mohr C, Cooke K, Bagal D, et al. The clinical KRAS(G12C) inhibitor AMG 510 drives anti-tumour immunity. Nature (2019) 575(7781):217–23. doi: 10.1038/s41586-019-1694-1

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Marquard AM, Eklund AC, Joshi T, Krzystanek M, Favero F, Wang ZC, et al. Pan-cancer analysis of genomic scar signatures associated with homologous recombination deficiency suggests novel indications for existing cancer drugs. biomark Res (2015) 3:9. doi: 10.1186/s40364-015-0033-4

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Ramalingam SS, Thara E, Awad MM, Dowlati A, Haque B, Stinchcombe TE, et al. JASPER: Phase 2 trial of first-line niraparib plus pembrolizumab in patients with advanced non-small cell lung cancer. Cancer (2022) 128(1):65–74. doi: 10.1002/cncr.33885

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Horvath L, Thienpont B, Zhao L, Wolf D, Pircher A. Overcoming immunotherapy resistance in non-small cell lung cancer (NSCLC) - novel approaches and future outlook. Mol Cancer (2020) 19(1):141. doi: 10.1186/s12943-020-01260-z

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Aldea M, Andre F, Marabelle A, Dogan S, Barlesi F, Soria JC. Overcoming resistance to tumor-targeted and immune-targeted therapies. Cancer Discovery (2021) 11(4):874–99. doi: 10.1158/2159-8290.CD-20-1638

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: non-small-cell lung cancer, immunotherapy, immune checkpoint inhibitors, combinations, chemotherapy, antiangiogenic, co-inhibitory

Citation: Martin C and Enrico D (2022) Current and novel therapeutic strategies for optimizing immunotherapy outcomes in advanced non-small cell lung cancer. Front. Oncol. 12:962947. doi: 10.3389/fonc.2022.962947

Received: 07 June 2022; Accepted: 14 November 2022;
Published: 08 December 2022.

Edited by:

Jarushka Naidoo, Johns Hopkins Medicine, United States

Reviewed by:

Yongfeng Yu, Shanghai Jiao Tong University, China

Copyright © 2022 Martin and Enrico. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Claudio Martin, cmmartin66@gmail.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.