Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Oct 30:4:PO.20.00166.
doi: 10.1200/PO.20.00166. eCollection 2020.

Germ Cell Tumor Molecular Heterogeneity Revealed Through Analysis of Primary and Metastasis Pairs

Affiliations

Germ Cell Tumor Molecular Heterogeneity Revealed Through Analysis of Primary and Metastasis Pairs

Michael L Cheng et al. JCO Precis Oncol. .

Abstract

Purpose: Although primary germ cell tumors (GCTs) have been extensively characterized, molecular analysis of metastatic sites has been limited. We performed whole-exome sequencing and targeted next-generation sequencing on paired primary and metastatic GCT samples in a patient cohort enriched for cisplatin-resistant disease.

Patients and methods: Tissue sequencing was performed on 100 tumor specimens from 50 patients with metastatic GCT, and sequencing of plasma cell-free DNA was performed for a subset of patients.

Results: The mutational landscape of primary and metastatic pairs from GCT patients was highly discordant (68% of all somatic mutations were discordant). Whereas genome duplication was common and highly concordant between primary and metastatic samples, only 25% of primary-metastasis pairs had ≥ 50% concordance at the level of DNA copy number alterations (CNAs). Evolutionary-based analyses revealed that most mutations arose after CNAs at the respective loci in both primary and metastatic samples, with oncogenic mutations enriched in the set of early-occurring mutations versus variants of unknown significance (VUSs). TP53 pathway alterations were identified in nine cisplatin-resistant patients and had the highest degree of concordance in primary and metastatic specimens, consistent with their association with this treatment-resistant phenotype.

Conclusion: Analysis of paired primary and metastatic GCT specimens revealed significant molecular heterogeneity for both CNAs and somatic mutations. Among loci demonstrating serial genetic evolution, most somatic mutations arose after CNAs, but oncogenic mutations were enriched in the set of early-occurring mutations as compared with VUSs. Alterations in TP53 were clonal when present and shared among primary-metastasis pairs.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest Statement:The authors have declared that no competing interests exist.Conflicts of Interest Statement:Authors’ disclosures of potential conflicts of interest and contributions are found at the end of this article.The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted. I = Immediate Family Member, Inst = My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or ascopubs.org/po/author-center. Open Payments is a public database containing information reported by companies about payments made to US-licensed physicians (Open Payments). Michael L. ChengHonoraria: The Lynx Group (supported by Bristol Myers Squibb), WebMD (supported by AstraZeneca), PCME (supported by Merck and Lilly) Consulting or Advisory Role: AstraZeneca, Inivata Travel, Accommodations, Expenses: Daiichi Sankyo, Allergan, Sanofi, Natera, AstraZeneca, Guardant Health, WebMD, PCMEFrançois AudenetHonoraria: Nucleix Travel, Accommodations, Expenses: Ferring, IpsenEugene J. PietzakHonoraria: UpToDate Consulting or Advisory Role: Merck, Chugai PharmaSumit IsharwalOpen Payments Link: https://openpaymentsdata.cms.gov/physician/1232544Gopa IyerConsulting or Advisory Role: Bayer, Janssen, Mirati Therapeutics Research Funding: Mirati Therapeutics (Inst), Novartis (Inst), Debiopharm Group (Inst), Bayer (Inst)Samuel FuntStock and Other Ownership Interests: Kite Pharma, Urogen Pharma (I), Allogene Therapeutics, Neogene Therapeutics (I), Kronos Bio (I), Vida Ventures (I), Vaxigene Consulting or Advisory Role: AstraZeneca/MedImmune, Merck, Immunai Research Funding: Genentech (Inst), AstraZeneca (Inst), Decibel Therapeutics (Inst) Travel, Accommodations, Expenses: Bristol Myers Squibb, AstraZeneca/MedImmuneDean F. BajorinHonoraria: Merck Sharp & Dohme Consulting or Advisory Role: Merck, Fidia Farmaceutici, Hoffman-La Roche, Dragonfly Therapeutics Research Funding: Novartis (Inst), Genentech (Inst), Merck (Inst), Bristol Myers Squibb (Inst), AstraZeneca (Inst), Astellas Pharma (Inst), Seattle Genetics/Astellas (Inst) Travel, Accommodations, Expenses: Genentech, MerckVictor E. ReuterConsulting or Advisory Role: Cepheid Uncompensated Relationships: PaigeAIGabriella JosephStock and Other Ownership Interests: AmgenMaria E. ArcilaHonoraria: Invivoscribe, Biocartis Consulting or Advisory Role: AstraZeneca Travel, Accommodations, Expenses: AstraZeneca, Invivoscribe, Raindance TechnologiesDana W.Y. TsuiHonoraria: Cowen, BofA Merrill Lynch Patents, Royalties, Other Intellectual Property: I am a co-inventor on a provisional patent application filed by Memorial Sloan Kettering Cancer CenterAhmet ZehirHonoraria: IlluminaMichael F. BergerConsulting or Advisory Role: Roche Research Funding: Grail Patents, Royalties, Other Intellectual Property: Provisional patent pending for “Systems and Methods for Detecting Cancer via cfDNA Screening”Eliezer Van AllenStock and Other Ownership Interests: Syapse, Tango Therapeutics, Genome Medical, Microsoft, Ervaxx Consulting or Advisory Role: Syapse, Roche, Third Rock Ventures, Takeda, Novartis, Genome Medical, InVitae, Illumina, Tango Therapeutics, Ervaxx, Janssen Speakers' Bureau: Illumina Research Funding: Bristol Myers Squibb, Novartis Patents, Royalties, Other Intellectual Property: Patent on discovery of retained intron as source of cancer neoantigens (Inst); patent on discovery of chromatin regulators as biomarkers of response to cancer immunotherapy (Inst); patent on clinical interpretation algorithms using cancer molecular data (Inst) Travel, Accommodations, Expenses: GenentechBarry S. TaylorConsulting or Advisory Role: Boehringer Ingelheim, Loxo Oncology at Lilly Research Funding: GenentechHikmat Al-AhmadieConsulting or Advisory Role: Bristol Myers Squibb, EMD Serono, AstraZeneca/MedImmune, Janssen BiotechDavid B. SolitStock and Other Ownership Interests: Loxo Consulting or Advisory Role: Pfizer, Loxo, Illumina, Vivideon Therapeutics, Lilly Oncology, QED Therapeutics, BridgeBio PharmaDarren R. FeldmanResearch Funding: Novartis, Seattle Genetics, Decibel Therapeutics (Inst), Astellas Pharma Other Relationship: UpToDate No other potential conflicts of interest were reported.

Figures

FIG 1.
FIG 1.
Mutational heterogeneity of paired primary and metastatic germ cell tumor (GCT) specimens analyzed by whole-exome sequencing. (A) Primary GCT samples had a low mutation rate (median, 0.42 mutations per megabase [mut/Mb]; range, 0.1-1.52 mut/Mb), whereas paired metastasis samples from the same patients demonstrated a significantly higher tumor mutational burden (median, 1.55 mut/Mb; range, 0.16-4.79 mut/Mb; Wilcoxon signed rank, P = .03). Individual mutations were designated as occurring in the primary sample (orange) and/or the metastasis sample (green) and identified as oncogenic (red) or variants of unknown significance (VUSs; blue). (B) The median percentage of concordant mutations was 32.4% (range, 0%-70.3%), with six of 10 patients having a majority of discordant mutations. Oncogenic mutations were more likely to be concordant across primary-metastasis pairs (72.7%; eight of 11 concordant) compared with variants of unknown significance (19.1%; 111 of 581 concordant; Fisher’s exact test, P = .0002).
FIG 2.
FIG 2.
Copy number analysis and timing of mutations during tumor evolution. (A) Continuous losses and gains, as partly reflected in the discordance of whole-genome duplication and reciprocal loss of heterozygosity rates across 40 evaluable primary-metastasis pairs (sequenced by whole-exome sequencing [WES] and/or Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets—MSK-IMPACT—were reflected in the total percentage of the genome with the same major and minor integer copy number (as measured in base pairs sequenced in both samples). Ten (25%) of 40 pairs demonstrated ≥ 50% identical integer copy number (median, 38.9%; range, 16.5%-78.9%). (B) For 10 primary-metastasis pairs analyzed by WES (each represented by a different colored dot), the majority of mutations arose after the observed copy number alteration at the respective locus: (1) before: median, 2.5 mutations, range (1-10); (2) after: median, 25.5 mutations, range (8-66); Wilcoxon signed rank test, P = .006). (C) For primary-metastasis pairs analyzed by WES, oncogenic mutations were enriched in the set of early-occurring mutations compared with variants of unknown significance (VUSs). Five (62.5%) of eight oncogenic mutations occurred early compared with 30 (10.5%) of 287 VUSs in the WES samples (Fisher’s exact test, P = .001). (**) Statistical significance for the illustrated comparisons.
FIG 3.
FIG 3.
Discordance of MDM2 amplification across primary-metastasis pairs in two patients. (A) In the first patient, the MDM2 amplification was identified only in the metastatic sample collected after chemotherapy. (B) The same finding is demonstrated in a second patient.
FIG 4.
FIG 4.
Analysis of plasma cell-free DNA (cfDNA) samples from 11 patients using Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets—MSK-IMPACT, which enabled comparison of primary-metastasis-cfDNA trios. (A) TP53 status was concordant across primary, metastasis, and plasma cfDNA specimens in two patients whose tumors were TP53 mutant. Additional mutations in the trio samples from these two patients are also shown. (B) Across all 11 trios, a total of 19 mutations were detected (median, two mutations, range (0-5) in cfDNA, including nine oncogenic mutations. Plasma cfDNA analysis did not reveal any additional mutations undetected in tumor tissue. Nineteen mutations identified in the tumor samples were absent in the matched cfDNA sample, including seven oncogenic mutations. The majority of mutations (15 of 19) detected in cfDNA were concordant in the primary-metastasis pair. Four mutations identified by cfDNA were not concordant in the primary-metastasis pairs, with two each identified in primary-cfDNA and metastasis-cfDNA pairs, respectively. VUS, variant of unknown significance.
FIG A1.
FIG A1.
Correlation of variant allele frequency between whole-exome sequencing (WES) and Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets—MSK-IMPACT—in the WES cohort. The variant allele frequency of mutations identified in genes covered by the MSK-IMPACT was highly correlated between WES and MSK-IMPACT (Spearman rank correlation, ⍴ = 0.93; P < 2.2 × 10−16).
FIG A2.
FIG A2.
Mutational heterogeneity in the Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT) cohort. Across 30 evaluable patients who were sequenced only with MSK-IMPACT, 29 (34.5%) of 84 mutations were concordant. Only eight (26.7%) of 30 patients had a majority of concordant mutations.
FIG A3.
FIG A3.
Timing of mutations during tumor evolution in the Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets—MSK-IMPACT—cohort. (A) Significantly more mutations occurred after the observed copy number alterations (CNAs; before: median, zero mutations, range (0-3); after: median, two mutations, range (0-5); Wilcoxon signed rank test, P = 6.297 × 10−5). (B) Seven (41.2%) of 17 oncogenic mutations arose early versus four (11.1%) of 36 variants of unknown significance (VUSs; Fisher’s exact test, P = .03). (**) Statistical significance for the illustrated comparisons.

References

    1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020;70:7–30. - PubMed
    1. Hanna NH, Einhorn LH. Testicular cancer: Discoveries and updates. N Engl J Med. 2014;371:2005–2016. - PubMed
    1. International Germ Cell Cancer Collaborative Group International Germ Cell Consensus Classification: A prognostic factor-based staging system for metastatic germ cell cancers. J Clin Oncol. 1997;15:594–603. - PubMed
    1. Bagrodia A, Lee BH, Lee W, et al. Genetic determinants of cisplatin resistance in patients with advanced germ cell tumors. J Clin Oncol. 2016;34:4000–4007. - PMC - PubMed
    1. Taylor-Weiner A, Zack T, O’Donnell E, et al. Genomic evolution and chemoresistance in germ-cell tumours. Nature. 2016;540:114–118. - PMC - PubMed