Genetic Determinants of Cisplatin Resistance in Patients With Advanced Germ Cell Tumors
PMID: 27646943 · DOI: 10.1200/JCO.2016.68.7798 · Journal: Journal of Clinical Oncology (2016)
TL;DR
Bagrodia et al. performed whole-exome sequencing on a discovery cohort of 19 advanced germ cell tumors (GCTs) and validated findings with MSK-IMPACT targeted sequencing on a prospective cohort of 161 additional patients (combined N=180), enriched for the cisplatin-resistant phenotype. TP53 alterations were found exclusively in cisplatin-resistant tumors (17 of 104 [16.3%] vs 0 of 76; P<.001), and combined TP53/MDM2 pathway alterations were significantly more frequent in resistant disease (24.0% vs 2.6%; P<.001). TP53/MDM2 alterations independently predicted shorter progression-free survival (hazard ratio 1.83; 95% CI, 1.12 to 2.98; P=.016) after adjusting for the IGCCCG risk model. Strikingly, 72% of primary mediastinal nonseminomas harbored TP53 alterations, providing the first genetic basis for the dismal prognosis of this subgroup. Actionable alterations were detected in 55% of cisplatin-resistant GCTs, including novel functionally validated RAC1 hotspot mutations.
Cohort & data
- N=180 men with advanced germ cell tumor receiving first-line cisplatin-based chemotherapy at Memorial Sloan Kettering Cancer Center.
- Discovery cohort: 19 tumors profiled by whole-exome sequencing (10 cisplatin resistant, 9 cisplatin sensitive); mean coverage 116× (range 93–134×); 90% of target bases covered at >30×.
- Validation cohort: 161 prospective patients profiled by whole-exome-seq and the msk-impact-panel (IMPACT410)-based targeted exon-capture assay (>300 cancer-related genes; 500–1,000× depth).
- Cancer types: GCT — 70% NSGCT (n=126), 30% SEM (n=54). Primary site: 87.2% testis (TT), 12.2% mediastinum, 0.6% retroperitoneum. 49 resistant samples were MGCT containing teratoma.
- Cisplatin sensitivity: 76 sensitive vs 104 resistant. Resistance defined by incomplete response to first-line therapy, nonteratomatous progression, or viable nonteratomatous GCT at postchemotherapy surgery.
- IGCCCG risk distribution (combined cohort): good 51.1%, intermediate 15.6%, poor 32.8%. Poor-risk patients were heavily enriched among resistant cases (49% vs 10.5%).
- Dataset: gct_msk_2016 — all mutational and clinical data publicly available on cBioPortal.
- First-line regimens: BEP (bleomycin+etoposide+cisplatin) 37.2%, EP 42.2%, TIP/VIP 20%, PVB 0.6%.
Key findings
- Mutation burden differs by sensitivity: Median total mutations 46 vs 21 (P=.05) and nonsynonymous mutations 36 vs 14 (P=.04) in resistant vs sensitive discovery tumors. The mean MSK-IMPACT mutation rate of 0.9/Mb is very low compared with other adult solid tumors.
- 12p gain was present in 74% of discovery tumors, consistent with the well-characterized GCT cytogenetic signature.
- TP53 alterations exclusive to resistance: 17 of 104 (16.3%) cisplatin-resistant tumors harbored TP53 mutations or deletions vs 0 of 76 sensitive tumors (P<.001). Mutations included previously reported recurrent missense (e.g. V173M, R248Q/W) and truncating events, plus one homozygous deletion.
- MDM2 amplifications: 8 of 104 (7.6%) resistant vs 2 of 76 (2.6%) sensitive (P=.195); mutually exclusive with TP53 alteration. 5 of 7 (71.4%) MDM2-amplified tumors were cisplatin resistant.
- Combined TP53/MDM2: 25 of 104 (24.0%) resistant vs 2 of 76 (2.6%) sensitive (P<.001).
- Mediastinal primary enrichment: TP53 alterations were 13 of 22 (59.1%) in mediastinal vs 4 of 158 (2.5%) in testicular primaries (P<.001). Among primary mediastinal nonseminomas, the rate was 13 of 18 (72.2%); none of the 4 primary mediastinal seminomas harbored TP53 mutations.
- Independent prognostic value: In multivariable Cox regression including IGCCCG risk, TP53/MDM2 alteration independently predicted shorter PFS (HR 1.83; 95% CI 1.12–2.98; P=.016).
- MYCN amplifications in 5 patients, all cisplatin resistant; 4 of 5 had wild-type TP53/MDM2.
- RAC1 mutations in 9 patients (5% incidence — the highest reported across cancer types per TCGA at the time): G12V (n=3), G12R (n=2), P34R, Q61R, Q61K (n=2). The mutants were functionally validated in HEK293 cells, showing increased phospho-PAK1 and phospho-MEK1/2 — the first demonstration that these RAC1 alleles activate downstream Rho-family signaling in GCT.
- KIT mutations in 19 of 180 patients (mostly exon 17 hotspots associated with imatinib resistance), enriched in SEM (29.6% vs 4% in nonseminoma; P<.001).
- KRAS mutations in 22 of 180 patients (15 at G12); enriched in seminomas overall (20% vs 8.7%; P=.045) but in nonseminomas 8 of 11 KRAS mutations occurred in cisplatin-resistant tumors.
- PI3K pathway alterations in 24 of 180 (13.3%) — including 4 PIK3CA E542K mutations, 5 loss-of-function PTEN mutations, AKT1 amplification, MTOR, TSC1, and TSC2 alterations.
- Other notable mutations: APC (n=3), FAT1 (n=4), AXIN1 (n=2), EP300/SETD2/PTPRD (n=3 each), BRCA2 deletions, three BRAF mutations (D594N, D594G, G466E), one GNAQ Q209P, four KDR amplifications, one MET amplification.
Genes & alterations
- TP53 — recurrent missense (V173M, R248Q/W) and truncating mutations; exclusive to cisplatin-resistant tumors. Strongest single-gene biomarker of resistance in this study.
- MDM2 — focal amplifications, mutually exclusive with TP53 alteration; 71% of MDM2-amplified tumors are cisplatin resistant. Therapeutic target via Nutlin-3 / nutlin-3 and other MDM2 inhibitors.
- MYCN — amplification in 5 patients (all cisplatin resistant); transcriptionally targets both TP53 and MDM2; predicts MDM2-inhibitor sensitivity by analogy to neuroblastoma.
- RAC1 — novel hotspot mutations at codons 12, 34, 61 (G12V/R, P34R, Q61R/K); functionally validated to activate PAK1 and MEK1/2 phosphorylation; 5% incidence — the highest reported across cancer types in TCGA at publication.
- KIT — 20 hotspot mutations in 19 patients, mostly exon 17; enriched in SEM; imatinib-resistance pattern distinct from GIST.
- KRAS — 23 hotspot mutations in 22 patients; G12 dominant; enriched in seminomas overall but in nonseminomas associated with cisplatin resistance.
- NRAS — 4 mutations; 3 in cisplatin-resistant tumors.
- BRAF — 3 hotspot mutations (D594N, D594G, G466E); rate within cohort 1.7%.
- CBL — 7 alterations including hotspot W408R (RING finger), three X410 splice sites, one homozygous deletion.
- GNAQ — Q209P (uveal-melanoma hotspot) in one patient.
- PIK3CA — four E542K mutations.
- PTEN — five loss-of-function plus four missense VUS.
- AKT1, MTOR, TSC1, TSC2 — additional PI3K/mTOR pathway events.
- APC, AXIN1, FAT1 — Wnt-pathway alterations.
- EP300, SETD2, PTPRD, BRCA2 — additional tumor-suppressor / chromatin / DNA-repair events flagged as actionable.
- MAX, MCL1, CCND3, KDR, MET — additional alterations contributing to the actionable list.
Clinical implications
- Genomic profiling for risk stratification: TP53/MDM2 alteration status improves prognostication beyond the IGCCCG model and the authors recommend prospective genomic profiling of advanced GCT, particularly intermediate- and poor-risk patients, to facilitate clinical trials of novel strategies.
- MDM2 inhibitor rationale: MDM2 amplification (and MYCN amplification in TP53 wild-type tumors) is the most common actionable alteration. The authors highlight 7 MDM2 inhibitors in clinical trials; in vitro, nutlin-3 showed antiproliferative and apoptotic synergy with cisplatin in TP53 wild-type, cisplatin-resistant GCT cell lines.
- Targeted therapy candidates (Appendix Table A2 of the paper) for cisplatin-resistant patients include: imatinib/sunitinib for KIT mutations; MEK inhibitors (trametinib, selumetinib, binimetinib) for KRAS/NRAS/GNAQ alterations; sorafenib for BRAF D594; PI3K and mTOR inhibitors for PI3K-pathway alterations; PARP inhibitors for BRCA2 deletion; CDK4/6 inhibitors for CCND3 amplification; and RAC1 inhibitors (NSC23766) for novel RAC1 mutations.
- Mediastinal nonseminoma biology: The 72% TP53-alteration rate in primary mediastinal nonseminoma provides the first molecular explanation for its uniquely poor prognosis within IGCCCG and supports prioritizing this subgroup for genomic profiling and trial enrollment.
Limitations & open questions
- A large subset of cisplatin-resistant patients have no identified genetic basis for resistance by exome/targeted DNA sequencing; the authors propose follow-up whole-genome, transcriptome, and epigenome studies.
- 24 (23.1%) cisplatin-resistant patients died of disease — lower than expected, attributed to short follow-up after first-line progression and high response to salvage high-dose chemotherapy with stem-cell transplantation; recurrent mutations were too sparse to associate with specific salvage regimens.
- 49 resistant samples were mixed GCTs containing teratoma; microdissection was not performed, so a small amount of teratoma DNA may have been sequenced. TP53/MDM2 alterations in teratoma-free tumors argue against a meaningful confounding effect.
- Each individual actionable alteration is rare, posing challenges for clinical trial enrollment and targeted drug development in this disease.
- Pure teratoma and pure malignant transformation tumors were excluded by design, so findings do not extend to those histologies.
- Functional validation was limited to RAC1; the causal role of other recurrent alterations in driving cisplatin resistance remains to be established.
Citations from this paper used in the wiki
- “TP53 alterations were present exclusively in cisplatin-resistant tumors and were particularly prevalent among primary mediastinal nonseminomas (72%).” (Abstract)
- “Despite this association, TP53 and MDM2 alterations predicted adverse prognosis independent of the IGCCCG model.” (Abstract; multivariable HR 1.83; 95% CI 1.12–2.98; P=.016)
- “Actionable alterations, including novel RAC1 mutations, were detected in 55% of cisplatin-resistant GCTs.” (Abstract)
- “Nine mutations were identified in RAC1 (G12V, n=3; G12R, n=2; P34R, Q61R, and Q61K, n=2)… Expression of the RAC1 mutations identified in GCT results in increased phosphorylation of PAK1 and ERK.” (Fig 3 / Results)
- “5% incidence of RAC1 mutations in this cohort makes GCT the cancer type with the highest prevalence of RAC1 mutations reported to date.” (Discussion)
- “All mutational and clinical data are available on the cBio Cancer Genomics Portal.” (Results — corresponds to study
gct_msk_2016)
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