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Multicenter Study
. 2023 Apr 3;18(4):e0269324.
doi: 10.1371/journal.pone.0269324. eCollection 2023.

InterMEL: An international biorepository and clinical database to uncover predictors of survival in early-stage melanoma

Affiliations
Multicenter Study

InterMEL: An international biorepository and clinical database to uncover predictors of survival in early-stage melanoma

Irene Orlow et al. PLoS One. .

Abstract

Introduction: We are conducting a multicenter study to identify classifiers predictive of disease-specific survival in patients with primary melanomas. Here we delineate the unique aspects, challenges, and best practices for optimizing a study of generally small-sized pigmented tumor samples including primary melanomas of at least 1.05mm from AJTCC TNM stage IIA-IIID patients. We also evaluated tissue-derived predictors of extracted nucleic acids' quality and success in downstream testing. This ongoing study will target 1,000 melanomas within the international InterMEL consortium.

Methods: Following a pre-established protocol, participating centers ship formalin-fixed paraffin embedded (FFPE) tissue sections to Memorial Sloan Kettering Cancer Center for the centralized handling, dermatopathology review and histology-guided coextraction of RNA and DNA. Samples are distributed for evaluation of somatic mutations using next gen sequencing (NGS) with the MSK-IMPACTTM assay, methylation-profiling (Infinium MethylationEPIC arrays), and miRNA expression (Nanostring nCounter Human v3 miRNA Expression Assay).

Results: Sufficient material was obtained for screening of miRNA expression in 683/685 (99%) eligible melanomas, methylation in 467 (68%), and somatic mutations in 560 (82%). In 446/685 (65%) cases, aliquots of RNA/DNA were sufficient for testing with all three platforms. Among samples evaluated by the time of this analysis, the mean NGS coverage was 249x, 59 (18.6%) samples had coverage below 100x, and 41/414 (10%) failed methylation QC due to low intensity probes or insufficient Meta-Mixed Interquartile (BMIQ)- and single sample (ss)- Noob normalizations. Six of 683 RNAs (1%) failed Nanostring QC due to the low proportion of probes above the minimum threshold. Age of the FFPE tissue blocks (p<0.001) and time elapsed from sectioning to co-extraction (p = 0.002) were associated with methylation screening failures. Melanin reduced the ability to amplify fragments of 200bp or greater (absent/lightly pigmented vs heavily pigmented, p<0.003). Conversely, heavily pigmented tumors rendered greater amounts of RNA (p<0.001), and of RNA above 200 nucleotides (p<0.001).

Conclusion: Our experience with many archival tissues demonstrates that with careful management of tissue processing and quality control it is possible to conduct multi-omic studies in a complex multi-institutional setting for investigations involving minute quantities of FFPE tumors, as in studies of early-stage melanoma. The study describes, for the first time, the optimal strategy for obtaining archival and limited tumor tissue, the characteristics of the nucleic acids co-extracted from a unique cell lysate, and success rate in downstream applications. In addition, our findings provide an estimate of the anticipated attrition that will guide other large multicenter research and consortia.

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Conflict of interest statement

I have read the journal’s policy and the authors of this manuscript have the following competing interests: R.A.S. has received fees for professional services from F. Hoffmann-La Roche Ltd, Evaxion, Provectus Biopharmaceuticals Australia, Qbiotics, Novartis, Merck Sharp & Dohme, NeraCare, AMGEN Inc., Bristol-Myers Squibb, Myriad Genetics, GlaxoSmithKline. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Figures

Fig 1
Fig 1. Summary of specimens and data flow in InterMEL.
Fig 2
Fig 2. Effect of melanoma characteristics and time elapsed between tissue sectioning and co-extraction, on the quantity and quality of DNA/RNA.
Fig 3
Fig 3. Effect of case and tumor characteristics, and time elapsed between sectioning and co-extraction on the core’s DNA-QC score.
Fig 4
Fig 4. Biospecimens received, processed, and distributed for testing.
Fig 5
Fig 5. Effect of case, tumor, DNA characteristics, and logistics, on the success of methylation screening.

References

    1. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer statistics, 2022. CA Cancer J Clin. 2022;72(1):7–33. doi: 10.3322/caac.21708 - DOI - PubMed
    1. Howlader N, Noone A, Krapcho M, Garshell J, Neyman N, Altekruse S, et al. SEER Cancer Statistics Review Bethesda, MD: National Cancer Institute; 1975–2010 [updated April 2013. Available from: http://seer.cancer.gov/csr/1975_2010/].
    1. Soong SJ, Ding S, Coit D, Balch CM, Gershenwald JE, Thompson JF, et al.. Predicting survival outcome of localized melanoma: an electronic prediction tool based on the AJCC Melanoma Database. Ann Surg Oncol. 2010;17(8):2006–14. doi: 10.1245/s10434-010-1050-z - DOI - PMC - PubMed
    1. Macdonald JB, Dueck AC, Gray RJ, Wasif N, Swanson DL, Sekulic A, et al.. Malignant melanoma in the elderly: different regional disease and poorer prognosis. J Cancer. 2011;2:538–43. doi: 10.7150/jca.2.538 - DOI - PMC - PubMed
    1. MacKie RM. Malignant melanoma: clinical variants and prognostic indicators. Clin Exp Dermatol. 2000;25(6):471–5. doi: 10.1046/j.1365-2230.2000.00692.x - DOI - PubMed

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