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Melanin-targeted [18F]-PFPN PET imaging for prognosticating patients with melanoma

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Abstract

Purpose

Positron emission tomography (PET) using [18F]-PFPN, a melanin-targeted imaging tracer, has excellent diagnostic performance in patients with melanoma. This study aimed to investigate its value in prognostication and determine predictors of progression-free survival (PFS) and overall survival (OS).

Methods

We reviewed melanoma patients who underwent [18F]-PFPN and [18F]-FDG PET from February 2021 to July 2022. Clinical characteristics, follow-up data, and the following [18F]-PFPN PET parameters were recorded: maximum standardized uptake value (SUVmax), whole-body melanotic tumoral volume (WBMTV), and whole-body total lesion melanin (WBTLM). Receiver operating characteristic (ROC), Kaplan–Meier and Cox regression analyses were performed.

Results

Seventy-six patients (47 men and 29 women; mean age, 57.99 ± 10.72 years) were included for analysis. Median follow-up was 12.0 months (range: 1–22 months). Eighteen patients died and 38 experienced progression. Median OS was 17.60 months (95% confidence interval, 15.89–19.31). In the ROC analysis, [18F]-PFPN PET parameters were superior to those of [18F]-FDG PET in prognosticating death and disease progression. PFS and OS were significantly better in patients with lower SUVmax, WBMTV, and WBTLM on [18F]-PFPN PET (log-rank, P < 0.05). In the univariate analyses, distant metastasis, SUVmax, WBMTV, and WBTLM were significantly associated with cumulative incidence of PFS and OS (P < 0.05). In the multivariate analysis, SUVmax was an independent predictor of PFS and OS.

Conclusions

[18F]-PFPN PET has a role in prognostication of melanoma patients. Patients with higher [18F]-PFPN SUVmax have worse prognosis.

Clinical Trial Registration

ClinicalTrials.gov, NCT05645484. Registered 9 December, 2022, https://clinicaltrials.gov/ct2/show/NCT05645484?cond=The+Prognostic+Value+of+18F-PFPN+PET+Imaging+in+Patients+With+Malignant+Melanoma&draw=2&rank=1

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Shain AH, Bastian BC. From melanocytes to melanomas. Nat Rev Cancer. 2016;16:345–58. https://doi.org/10.1038/nrc.2016.37.

    Article  CAS  PubMed  Google Scholar 

  2. Arnold M, Singh D, Laversanne M, Vignat J, Vaccarella S, Meheus F, et al. Global Burden of Cutaneous Melanoma in 2020 and Projections to 2040. JAMA Dermatol. 2022;158:495–503. https://doi.org/10.1001/jamadermatol.2022.0160.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Luke JJ, Flaherty KT, Ribas A, Long GV. Targeted agents and immunotherapies: optimizing outcomes in melanoma. Nat Rev Clin Oncol. 2017;14:463–82. https://doi.org/10.1038/nrclinonc.2017.43.

    Article  CAS  PubMed  Google Scholar 

  4. Gershenwald JE, Scolyer RA, Hess KR, Sondak VK, Long GV, Ross MI, et al. Melanoma staging Evidence-based changes in the American Joint Committee on Cancer eighth edition cancer staging manual. CA Cancer J Clin. 2017;67:472–92.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Strudel M, Festino L, Vanella V, Beretta M, Marincola FM, Ascierto PA. Melanoma: Prognostic Factors and Factors Predictive of Response to Therapy. Curr Med Chem. 2020;27:2792–813. https://doi.org/10.2174/0929867326666191205160007.

    Article  CAS  PubMed  Google Scholar 

  6. Brochez L, Naeyaert JM. Serological markers for melanoma. Br J Dermatol. 2000;143:256–68. https://doi.org/10.1046/j.1365-2133.2000.03649.x.

    Article  CAS  PubMed  Google Scholar 

  7. Prichard RS, Hill AD, Skehan SJ, O’Higgins NJ. Positron emission tomography for staging and management of malignant melanoma. Br J Surg. 2002;89:389–96. https://doi.org/10.1046/j.0007-1323.2002.02059.x.

    Article  CAS  PubMed  Google Scholar 

  8. Annovazzi A, Ferraresi V, Rea S, Russillo M, Renna D, Carpano S, et al. Prognostic value of total metabolic tumour volume and therapy-response assessment by [(18)F]FDG PET/CT in patients with metastatic melanoma treated with BRAF/MEK inhibitors. Eur Radiol. 2022;32:3398–407. https://doi.org/10.1007/s00330-021-08355-1.

    Article  CAS  PubMed  Google Scholar 

  9. Reinert CP, Gatidis S, Sekler J, Dittmann H, Pfannenberg C, la Fougere C, et al. Clinical and prognostic value of tumor volumetric parameters in melanoma patients undergoing (18)F-FDG-PET/CT: a comparison with serologic markers of tumor burden and inflammation. Cancer Imaging. 2020;20:44. https://doi.org/10.1186/s40644-020-00322-1.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Seban RD, Nemer JS, Marabelle A, Yeh R, Deutsch E, Ammari S, et al. Prognostic and theranostic 18F-FDG PET biomarkers for anti-PD1 immunotherapy in metastatic melanoma: association with outcome and transcriptomics. Eur J Nucl Med Mol Imaging. 2019;46:2298–310. https://doi.org/10.1007/s00259-019-04411-7.

    Article  CAS  PubMed  Google Scholar 

  11. Stas M, Stroobants S, Dupont P, Gysen M, Hoe LV, Garmyn M, et al. 18-FDG PET scan in the staging of recurrent melanoma: additional value and therapeutic impact. Melanoma Res. 2002;12:479–90. https://doi.org/10.1097/00008390-200209000-00010.

    Article  CAS  PubMed  Google Scholar 

  12. Kudura K, Dimitriou F, Mihic-Probst D, Muehlematter UJ, Kutzker T, Basler L, et al. Malignancy Rate of Indeterminate Findings on FDG-PET/CT in Cutaneous Melanoma Patients. Diagnostics. 2021;11:883. https://doi.org/10.3390/diagnostics11050883.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Rouanet J, Quintana M, Auzeloux P, Cachin F, Degoul F. Benzamide derivative radiotracers targeting melanin for melanoma imaging and therapy: Preclinical/clinical development and combination with other treatments. Pharmacol Ther. 2021;224:107829. https://doi.org/10.1016/j.pharmthera.2021.107829.

    Article  CAS  PubMed  Google Scholar 

  14. Rizzo-Padoin N, Chaussard M, Vignal N, Kotula E, Tsoupko-Sitnikov V, Vaz S, et al. [(18)F]MEL050 as a melanin-targeted PET tracer: Fully automated radiosynthesis and comparison to (18)F-FDG for the detection of pigmented melanoma in mice primary subcutaneous tumors and pulmonary metastases. Nucl Med Biol. 2016;43:773–80. https://doi.org/10.1016/j.nucmedbio.2016.08.010.

    Article  CAS  PubMed  Google Scholar 

  15. Liu X, Pham TQ, Berghofer P, Chapman J, Greguric I, Mitchell P, et al. Synthesis and evaluation of novel radioiodinated nicotinamides for malignant melanoma. Nucl Med Biol. 2008;35:769–81. https://doi.org/10.1016/j.nucmedbio.2008.05.011.

    Article  CAS  PubMed  Google Scholar 

  16. Zhang X, Li M, Gai Y, Chen J, Tao J, Yang L, et al. (18)F-PFPN PET: a new and attractive imaging modality for patients with malignant melanoma. J Nucl Med. 2022. https://doi.org/10.2967/jnumed.121.263179.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Ma X, Wang S, Wang S, Liu D, Zhao X, Chen H, et al. Biodistribution, Radiation Dosimetry, and Clinical Application of a Melanin-Targeted PET Probe, 18F–P3BZA, in Patients. J Nucl Med. 2019;60:16–22. https://doi.org/10.2967/jnumed.118.209643.

    Article  CAS  PubMed  Google Scholar 

  18. Xu X, Yuan L, Yin L, Jiang Y, Gai Y, Liu Q, et al. Synthesis and Preclinical Evaluation of 18F-PEG3-FPN for the Detection of Metastatic Pigmented Melanoma. Mol Pharm. 2017;14:3896–905. https://doi.org/10.1021/acs.molpharmaceut.7b00607.

    Article  CAS  PubMed  Google Scholar 

  19. Qin C, Shao F, Hu F, Song W, Song Y, Guo J, et al. 18F-FDG PET/CT in diagnostic and prognostic evaluation of patients with cardiac masses: a retrospective study. Eur J Nucl Med Mol Imaging. 2020;47:1083–93. https://doi.org/10.1007/s00259-019-04632-w.

    Article  PubMed  Google Scholar 

  20. Jimbow K, Lee SK, King MG, Hara H, Chen H, Dakour J, et al. Melanin pigments and melanosomal proteins as differentiation markers unique to normal and neoplastic melanocytes. J Invest Dermatol. 1993;100:259s-s268. https://doi.org/10.1111/1523-1747.ep12470103.

    Article  CAS  PubMed  Google Scholar 

  21. Slominski RM, Sarna T, Plonka PM, Raman C, Brozyna AA, Slominski AT. Melanoma, Melanin, and Melanogenesis: The Yin and Yang Relationship. Front Oncol. 2022;12:842496. https://doi.org/10.3389/fonc.2022.842496.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Brozyna AA, Jozwicki W, Carlson JA, Slominski AT. Melanogenesis affects overall and disease-free survival in patients with stage III and IV melanoma. Hum Pathol. 2013;44:2071–4. https://doi.org/10.1016/j.humpath.2013.02.022.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Kabbarah O, Chin L. Revealing the genomic heterogeneity of melanoma. Cancer Cell. 2005;8:439–41. https://doi.org/10.1016/j.ccr.2005.11.008.

    Article  CAS  PubMed  Google Scholar 

  24. Teh YL, Goh WL, Tan SH, Yong G, Sairi ANH, Soo KC, et al. Treatment and outcomes of melanoma in Asia: Results from the National Cancer Centre Singapore. Asia Pac J Clin Oncol. 2018;14:e95–102. https://doi.org/10.1111/ajco.12802.

    Article  PubMed  Google Scholar 

  25. Spagnolo F, Caltabiano G, Queirolo P. Uveal melanoma. Cancer Treat Rev. 2012;38:549–53. https://doi.org/10.1016/j.ctrv.2012.01.002.

    Article  PubMed  Google Scholar 

  26. Sanli Y, Leake J, Odu A, Xi Y, Subramaniam RM. Tumor heterogeneity on FDG PET/CT and immunotherapy: An imaging biomarker for predicting treatment response in patients with metastatic melanoma. AJR Am J Roentgenol. 2019;212:1318–26. https://doi.org/10.2214/ajr.18.19796.

  27. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer Statistics, 2021. CA Cancer J Clin. 2021;71:7–33. https://doi.org/10.3322/caac.21654.

    Article  PubMed  Google Scholar 

  28. Balch CM, Soong SJ, Gershenwald JE, Thompson JF, Coit DG, Atkins MB, et al. Age as a prognostic factor in patients with localized melanoma and regional metastases. Ann Surg Oncol. 2013;20:3961–8. https://doi.org/10.1245/s10434-013-3100-9.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Rees MJ, Liao H, Spillane J, Speakman D, McCormack C, Donahoe S, et al. Localized melanoma in older patients, the impact of increasing age and comorbid medical conditions. Eur J Surg Oncol. 2016;42:1359–66. https://doi.org/10.1016/j.ejso.2016.01.010.

    Article  CAS  PubMed  Google Scholar 

  30. Rogiers A, van den Oord JJ, Garmyn M, Stas M, Kenis C, Wildiers H, et al. Novel therapies for metastatic melanoma: An update on their use in older patients. Drugs Aging. 2015;32:821–34. https://doi.org/10.1007/s40266-015-0304-7.

    Article  CAS  PubMed  Google Scholar 

  31. Ciocan D, Barbe C, Aubin F, Granel-Brocard F, Lipsker D, Velten M, et al. Distinctive features of melanoma and its management in elderly patients: a population-based study in France. JAMA Dermatol. 2013;149:1150–7. https://doi.org/10.1001/jamadermatol.2013.706.

    Article  PubMed  Google Scholar 

  32. Larkin J, Del Vecchio M, Ascierto PA, Krajsova I, Schachter J, Neyns B, et al. Vemurafenib in patients with BRAF(V600) mutated metastatic melanoma: an open-label, multicentre, safety study. Lancet Oncol. 2014;15:436–44. https://doi.org/10.1016/s1470-2045(14)70051-8.

    Article  CAS  PubMed  Google Scholar 

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Funding

This work was financially supported by National Natural Science Foundation of China (grants 82030052 and 81901783).

Author information

Authors and Affiliations

Authors

Contributions

Xiaoli Lan: study design. Xiao Zhang and Zhaoguo Lin: statistical analysis and manuscript writing. Mengting Li and Yongkang Gai: radiopharmaceutical synthesis and quality control testing. Jing Chen, Huaiyuan Zheng and Li Fan: patient recruitment. Xiaoli Lan, Xiao Zhang, Weiwei Ruan and Fan Hu: image acquisition and interpretation. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Jing Chen or Xiaoli Lan.

Ethics declarations

Ethics approval

This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Ethics Committee of Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (approval number: 0624/2022).

Consent to participate

Informed consent was obtained from all individual participants included in the study.

Consent for publication

The authors affirm that human research participants provided informed consent for publication of the images in Figs. 4 and 5.

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The authors declare no competing interests.

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Zhang, X., Lin, Z., Li, M. et al. Melanin-targeted [18F]-PFPN PET imaging for prognosticating patients with melanoma. Eur J Nucl Med Mol Imaging 50, 3062–3071 (2023). https://doi.org/10.1007/s00259-023-06258-5

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