A Genomic-Pathologic Annotated Risk Model to Predict Recurrence in Early-Stage Lung Adenocarcinoma

Importance

Recommendations for adjuvant therapy after surgical resection of lung adenocarcinoma (LUAD) are based solely on TNM classification but are agnostic to genomic and high-risk clinicopathologic factors. Creation of a prediction model that integrates tumor genomic and clinicopathologic factors may better identify patients at risk for recurrence.

Objective

To identify tumor genomic factors independently associated with recurrence, even in the presence of aggressive, high-risk clinicopathologic variables, in patients with completely resected stages I to III LUAD, and to develop a computational machine-learning prediction model (PRecur) to determine whether the integration of genomic and clinicopathologic features could better predict risk of recurrence, compared with the TNM system.

Design, Setting, and Participants

This prospective cohort study included 426 patients treated from January 1, 2008, to December 31, 2017, at a single large cancer center and selected in consecutive samples. Eligibility criteria included complete surgical resection of stages I to III LUAD, broad-panel next-generation sequencing data with matched clinicopathologic data, and no neoadjuvant therapy. External validation of the PRecur prediction model was performed using The Cancer Genome Atlas (TCGA). Data were analyzed from 2014 to 2018.

Main Outcomes and Measures

The study end point consisted of relapse-free survival (RFS), estimated using the Kaplan-Meier approach. Associations among clinicopathologic factors, genomic alterations, and RFS were established using Cox proportional hazards regression. The PRecur prediction model integrated genomic and clinicopathologic factors using gradient-boosting survival regression for risk group generation and prediction of RFS. A concordance probability estimate (CPE) was used to assess the predictive ability of the PRecur model.

Results

Of the 426 patients included in the analysis (286 women [67%]; median age at surgery, 69 [interquartile range, 62-75] years), 318 (75%) had stage I cancer. Association analysis showed that alterations in SMARCA4 (clinicopathologic-adjusted hazard ratio [HR], 2.44; 95% CI, 1.03-5.77; P = .042) and TP53 (clinicopathologic-adjusted HR, 1.73; 95% CI, 1.09-2.73; P = .02) and the fraction of genome altered (clinicopathologic-adjusted HR, 1.03; 95% CI, 1.10-1.04; P = .005) were independently associated with RFS. The PRecur prediction model outperformed the TNM-based model (CPE, 0.73 vs 0.61; difference, 0.12 [95% CI, 0.05-0.19]; P < .001) for prediction of RFS. To validate the prediction model, PRecur was applied to the TCGA LUAD data set (n = 360), and a clear separation of risk groups was noted (log-rank statistic, 7.5; P = .02), confirming external validation.

Conclusions and Relevance

The findings suggest that integration of tumor genomics and clinicopathologic features improves risk stratification and prediction of recurrence after surgical resection of early-stage LUAD. Improved identification of patients at risk for recurrence could enrich and enhance accrual to adjuvant therapy clinical trials.

Therapeutic Implications of Detecting MAPK-Activating Alterations in Cutaneous and Unknown Primary Melanomas

PURPOSE

Cutaneous and unknown primary melanomas frequently harbor alterations that activate the MAPK pathway. Whether MAPK driver detection beyond BRAF V600 is clinically relevant in the checkpoint inhibitor era is unknown.

EXPERIMENTAL DESIGN

Patients with melanoma were prospectively offered tumor sequencing of 341-468 genes. Oncogenic alterations in 28 RTK-RAS-MAPK pathway genes were used to construct MAPK driver groups. Time to treatment failure (TTF) was determined for patients who received first-line programmed cell death protein 1 (PD-1) monotherapy, nivolumab plus ipilimumab, or subsequent genomically matched targeted therapies. A Cox proportional hazards model was constructed for TTF using driver group and clinical variables.

RESULTS

A total of 670 of 696 sequenced melanomas (96%) harbored an oncogenic RTK-RAS-MAPK pathway alteration; 33% had ≥1 driver. Nine driver groups varied by clinical presentation and mutational burden. TTF of PD-1 monotherapy (N = 181) varied by driver, with worse outcomes for NRAS Q61 and BRAF V600 versus NF1 or other alterations (median 4.2, 7.5, 22, and not reached; P < 0.0001). Driver group remained significant, independent of tumor mutational burden and clinical features. TTF did not vary by driver for nivolumab plus ipilimumab (N = 141). Among 172 patients with BRAF V600 wild-type melanoma who progressed on checkpoint blockade, 27 were treated with genomically matched therapy, and eight (30%) derived clinical benefit lasting ≥6 months.

CONCLUSIONS

Targeted capture multigene sequencing can detect oncogenic RTK-RAS-MAPK pathway alterations in almost all cutaneous and unknown primary melanomas. TTF of PD-1 monotherapy varies by mechanism of ERK activation. Oncogenic kinase fusions can be successfully targeted in immune checkpoint inhibitor-refractory melanoma.

Interplay between chromosomal alterations and gene mutations shapes the evolutionary trajectory of clonal hematopoiesis

Stably acquired mutations in hematopoietic cells represent substrates of selection that may lead to clonal hematopoiesis (CH), a common state in cancer patients that is associated with a heightened risk of leukemia development. Owing to technical and sample size limitations, most CH studies have characterized gene mutations or mosaic chromosomal alterations (mCAs) individually. Here we leverage peripheral blood sequencing data from 32,442 cancer patients to jointly characterize gene mutations (n = 14,789) and mCAs (n = 383) in CH. Recurrent composite genotypes resembling known genetic interactions in leukemia genomes underlie 23% of all detected autosomal alterations, indicating that these selection mechanisms are operative early in clonal evolution. CH with composite genotypes defines a patient group at high risk of leukemia progression (3-year cumulative incidence 14.6%, CI: 7-22%). Multivariable analysis identifies mCA as an independent risk factor for leukemia development (HR = 14, 95% CI: 6-33, P < 0.001). Our results suggest that mCA should be considered in conjunction with gene mutations in the surveillance of patients at risk of hematologic neoplasms.

Lessons from the Study of Exceptional Responders

In this issue of Cancer Cell, Wheeler et al. report that mechanisms of exceptional response to cancer treatment can be grouped into four broad categories: dysregulated intracellular signaling pathways, altered DNA damage response, tumor microenvironment or immune engagement, and alterations associated with a favorable prognosis.

Utility of Serial cfDNA NGS for Prospective Genomic Analysis of Patients on a Phase I Basket Study

PURPOSE

Cell-free DNA (cfDNA) analysis offers a noninvasive means to access the tumor genome. Despite limited sensitivity of broad-panel sequencing for detecting low-frequency mutations in cfDNA, it may enable more comprehensive genomic characterization in patients with sufficiently high disease burden. We investigated the utility of large-panel cfDNA sequencing in patients enrolled to a Phase I AKT1-mutant solid tumor basket study.

METHODS

Patients had AKT1 E17K-mutant solid tumors and were treated on the multicenter basket study (ClinicalTrials.gov identifier: NCT01226316) of capivasertib, an AKT inhibitor. Serial plasma samples were prospectively collected and sequenced using exon-capture next-generation sequencing (NGS) analysis of 410 genes (Memorial Sloan Kettering [MSK]-Integrated Molecular Profiling of Actionable Cancer Target [IMPACT]) and allele-specific droplet digital polymerase chain reaction (ddPCR) for AKT1 E17K. Tumor DNA (tDNA) NGS (MSK-IMPACT) was also performed on available pretreatment tissue biopsy specimens.

RESULTS

Among 25 patients, pretreatment plasma samples were sequenced to an average coverage of 504×. Somatic mutations were called in 20/25 (80%), with mutant allele fractions highly concordant with ddPCR of AKT1 E17K (r ² = 0.976). Among 17 of 20 cfDNA-positive patients with available tDNA for comparison, mutational concordance was acceptable, with 82% of recurrent mutations shared between tissue and plasma. cfDNA NGS captured additional tumor heterogeneity, identifying mutations not observed in tDNA in 38% of patients, and revealed oncogenic mutations in patients without available baseline tDNA. Longitudinal cfDNA NGS (n = 98 samples) revealed distinct patterns of clonal dynamics in response to therapy.

CONCLUSION

Large gene panel cfDNA NGS is feasible for patients with high disease burden and is concordant with single-analyte approaches, providing a robust alternative to ddPCR with greater breadth. cfDNA NGS can identify heterogeneity and potentially biologically informative and clinically relevant alterations.

The association between tumor mutational burden and prognosis is dependent on treatment context

In multiple cancer types, high tumor mutational burden (TMB) is associated with longer survival after treatment with immune checkpoint inhibitors (ICIs). The association of TMB with survival outside of the immunotherapy context is poorly understood. We analyzed 10,233 patients (80% non-ICI-treated, 20% ICI-treated) with 17 cancer types before/without ICI treatment or after ICI treatment. In non-ICI-treated patients, higher TMB (higher percentile within cancer type) was not associated with better prognosis; in fact, in many cancer types, higher TMB was associated with poorer survival, in contrast to ICI-treated patients in whom higher TMB was associated with longer survival.

Genomic Profiling Aids Classification of Diagnostically Challenging Uterine Mesenchymal Tumors With Myomelanocytic Differentiation

Although diagnosis of high-grade uterine mesenchymal tumors (UMTs) exhibiting classic morphologic features is straightforward, diagnosis is more challenging in tumors in which prototypical features are poorly developed, focal, and/or coexist with features seen in other neoplasms. Here, we sought to define the repertoire of somatic genetic alterations in diagnostically challenging UMTs with myomelanocytic differentiation, including some reported as perivascular epithelioid cell tumors (PEComas). In 17 samples from 15 women, the tumors were histologically heterogenous. Immunohistochemical expression of at least 1 melanocytic marker (HMB45, Melan-A, or MiTF) was identified in all tumors, and of myogenic markers (desmin or smooth muscle actin) in most tumors. Targeted massively parallel sequencing revealed several genetic alterations, most commonly in TP53 (41% mutation, 12% deletion), TSC2 (29% mutation, 6% deletion), RB1 (18% deletion), ATRX (24% mutation), MED12 (12% mutation), BRCA2 (12% deletion), CDKN2A (6% deletion) as well as FGFR3, NTRK1, and ERBB3 amplification (each 6%). Gene rearrangements (JAZF1-SUZ12; DNAJB6-PLAG1; and SFPQ-TFE3) were identified in 3 tumors. Integrating histopathologic, immunohistochemical, and genetic findings, tumors from 4 patients were consistent with malignant PEComa (1 TFE3-rearranged); 6 were classified as leiomyosarcomas; 3 showed overlapping features of PEComa and other sarcoma types (leiomyosarcoma or low-grade endometrial stromal sarcoma); and 2 were classified as sarcoma, not otherwise specified. Our findings suggest that diagnostically challenging UMTs with myomelanocytic differentiation represent a heterogenous group of neoplasms which harbor a diverse repertoire of somatic genetic alterations; these genetic alterations can aid classification.

AKT1 E17K Inhibits Cancer Cell Migration by Abrogating β-Catenin Signaling

Mutational activation of the PI3K/AKT pathway is among the most common pro-oncogenic events in human cancers. The clinical utility of PI3K and AKT inhibitors has, however, been modest to date. Here, we used CRISPR-mediated gene editing to study the biological consequences of AKT1 E17K mutation by developing an AKT1 E17K-mutant isogenic system in a TP53-null background. AKT1 E17K expression under the control of its endogenous promoter enhanced cell growth and colony formation, but had a paradoxical inhibitory effect on cell migration and invasion. The mechanistic basis by which activated AKT1 inhibited cell migration and invasion was increased E-cadherin expression mediated by suppression of ZEB1 transcription via altered β-catenin subcellular localization. This phenotypic effect was AKT1-specific, as AKT2 activation had the opposite effect, a reduction in E-cadherin expression. Consistent with the opposing effects of AKT1 and AKT2 activation on E-cadherin expression, a pro-migratory effect of AKT1 activation was not observed in breast cancer cells with PTEN loss or expression of an activating PIK3CA mutation, alterations which induce the activation of both AKT isoforms. The results suggest that the use of AKT inhibitors in patients with breast cancer could paradoxically accelerate metastatic progression in some genetic contexts and may explain the frequent coselection for CDH1 mutations in AKT1-mutated breast tumors. IMPLICATIONS: AKT1 E17K mutation in breast cancer impairs migration/invasiveness via sequestration of β-catenin to the cell membrane leading to decreased ZEB1 transcription, resulting in increased E-cadherin expression and a reversal of epithelial-mesenchymal transition.

Correction to: Rates of TP53 Mutation are Significantly Elevated in African American Patients with Gastric Cancer

In the original article Kaitlin C. McLoughlin's name is spelled incorrectly. It is correct as reflected here.

Identification of a Synthetic Lethal Relationship between Nucleotide Excision Repair Deficiency and Irofulven Sensitivity in Urothelial Cancer

PURPOSE

Cisplatin-based chemotherapy is a first-line treatment for muscle-invasive and metastatic urothelial cancer. Approximately 10% of bladder urothelial tumors have a somatic missense mutation in the nucleotide excision repair (NER) gene, ERCC2, which confers increased sensitivity to cisplatin-based chemotherapy. However, a significant subset of patients is ineligible to receive cisplatin-based therapy due to medical contraindications, and no NER-targeted approaches are available for platinum-ineligible or platinum-refractory ERCC2-mutant cases.

EXPERIMENTAL DESIGN

We used a series of NER-proficient and NER-deficient preclinical tumor models to test sensitivity to irofulven, an abandoned anticancer agent. In addition, we used available clinical and sequencing data from multiple urothelial tumor cohorts to develop and validate a composite mutational signature of ERCC2 deficiency and cisplatin sensitivity.

RESULTS

We identified a novel synthetic lethal relationship between tumor NER deficiency and sensitivity to irofulven. Irofulven specifically targets cells with inactivation of the transcription-coupled NER (TC-NER) pathway and leads to robust responses in vitro and in vivo, including in models with acquired cisplatin resistance, while having minimal effect on cells with intact NER. We also found that a composite mutational signature of ERCC2 deficiency was strongly associated with cisplatin response in patients and was also associated with cisplatin and irofulven sensitivity in preclinical models.

CONCLUSIONS

Tumor NER deficiency confers sensitivity to irofulven, a previously abandoned anticancer agent, with minimal activity in NER-proficient cells. A composite mutational signature of NER deficiency may be useful in identifying patients likely to respond to NER-targeting agents, including cisplatin and irofulven.See related commentary by Jiang and Greenberg, p. 1833.

Phase 2 study of buparlisib (BKM120), a pan-class I PI3K inhibitor, in patients with metastatic triple-negative breast cancer

BACKGROUND

Treatment options for triple-negative breast cancer remain limited. Activation of the PI3K pathway via loss of PTEN and/or INPP4B is common. Buparlisib is an orally bioavailable, pan-class I PI3K inhibitor. We evaluated the safety and efficacy of buparlisib in patients with metastatic triple-negative breast cancer.

METHODS

This was a single-arm phase 2 study enrolling patients with triple-negative metastatic breast cancer. Patients were treated with buparlisib at a starting dose of 100 mg daily. The primary endpoint was clinical benefit, defined as confirmed complete response (CR), partial response (PR), or stable disease (SD) for ≥ 4 months, per RECIST 1.1. Secondary endpoints included progression-free survival (PFS), overall survival (OS), and toxicity. A subset of patients underwent pre- and on-treatment tumor tissue biopsies for correlative studies.

RESULTS

Fifty patients were enrolled. Median number of cycles was 2 (range 1-10). The clinical benefit rate was 12% (6 patients, all SD ≥ 4 months). Median PFS was 1.8 months (95% confidence interval [CI] 1.6-2.3). Median OS was 11.2 months (95% CI 6.2-25). The most frequent adverse events were fatigue (58% all grades, 8% grade 3), nausea (34% all grades, none grade 3), hyperglycemia (34% all grades, 4% grade 3), and anorexia (30% all grades, 2% grade 3). Eighteen percent of patients experienced depression (12% grade 1, 6% grade 2) and anxiety (10% grade 1, 8% grade 2). Alterations in PIK3CA/AKT1/PTEN were present in 6/27 patients with available targeted DNA sequencing (MSK-IMPACT), 3 of whom achieved SD as best overall response though none with clinical benefit ≥ 4 months. Of five patients with paired baseline and on-treatment biopsies, reverse phase protein arrays (RPPA) analysis demonstrated reduction of S6 phosphorylation in 2 of 3 patients who achieved SD, and in none of the patients with progressive disease.

CONCLUSIONS

Buparlisib was associated with prolonged SD in a very small subset of patients with triple-negative breast cancer; however, no confirmed objective responses were observed. Downmodulation of key nodes in the PI3K pathway was observed in patients who achieved SD. PI3K pathway inhibition alone may be insufficient as a therapeutic strategy for triple-negative breast cancer.

TRIAL REGISTRATION

NCT01790932 . Registered on 13 February 2013; NCT01629615 . Registered on 27 June 2012.

Pan-cancer Analysis of CDK12 Alterations Identifies a Subset of Prostate Cancers with Distinct Genomic and Clinical Characteristics

BACKGROUND

CDK12 genomic alterations occur in several tumor types, but little is known about their oncogenic role and clinical significance.

OBJECTIVE

To describe the landscape of CDK12 alterations across solid cancers and the clinical features of CDK12-altered prostate cancer.

DESIGN, SETTING, AND PARTICIPANTS

A single-center retrospective study of 26743 patients across 25 solid tumor types who underwent tumor sequencing was performed. Clinicopathologic features and outcomes were assessed in prostate cancer.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

CDK12 alterations and their association with genomic characteristics are described. For prostate cancer patients, overall survival and time to castration resistance were assessed using univariable and multivariable Cox regression analysis.

RESULTS AND LIMITATIONS

CDK12 alterations were identified in 404/26743 patients (1.5%) overall, but were most frequent in prostate (100/1875, 5.3%) and ovarian cancer (43/1034, 4.2%), in which they were associated with a high prevalence of truncating variants and biallelic inactivation. CDK12 alterations defined a genomic subtype of prostate cancer with a unique copy-number alteration profile and involvement of distinct oncogenic pathway alterations, including cell-cycle pathway genes. CDK12-altered prostate cancer was associated with somewhat more aggressive clinical features and shorter overall survival (median 64.4 vs 74.9 mo; p=0.032) independent of standard clinical factors and tumor copy-number alteration burden (adjusted hazard ratio 1.80, 95% confidence interval 1.12-2.89; p=0.024). The study is limited by its retrospective nature.

CONCLUSIONS

CDK12 alteration is a rare event across solid cancers but defines a clinically distinct molecular subtype of prostate cancer associated with unique genomic alterations and slightly more aggressive clinical features.

PATIENT SUMMARY

CDK12 gene alterations occur rarely across tumor types, but more frequently in prostate cancer, where they are associated with genomic instability, cell-cycle pathway gene alterations, and somewhat worse clinical outcomes, warranting further investigation of therapeutic targeting of this disease subset.

Cancer therapy shapes the fitness landscape of clonal hematopoiesis

Acquired mutations are pervasive across normal tissues. However, understanding of the processes that drive transformation of certain clones to cancer is limited. Here we study this phenomenon in the context of clonal hematopoiesis (CH) and the development of therapy-related myeloid neoplasms (tMNs). We find that mutations are selected differentially based on exposures. Mutations in ASXL1 are enriched in current or former smokers, whereas cancer therapy with radiation, platinum and topoisomerase II inhibitors preferentially selects for mutations in DNA damage response genes (TP53, PPM1D, CHEK2). Sequential sampling provides definitive evidence that DNA damage response clones outcompete other clones when exposed to certain therapies. Among cases in which CH was previously detected, the CH mutation was present at tMN diagnosis. We identify the molecular characteristics of CH that increase risk of tMN. The increasing implementation of clinical sequencing at diagnosis provides an opportunity to identify patients at risk of tMN for prevention strategies.

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

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.

A phase 2 trial of buparlisib in patients with platinum-resistant metastatic urothelial carcinoma

BACKGROUND

The phosphatidyl 3-inositol kinase (PI3K)/Akt/mechanistic target of rapamycin (mTOR) pathway frequently is activated in patients with urothelial carcinoma (UC). In the current study, the authors performed a phase 2 study evaluating the efficacy of the pan-isoform class I PI3K inhibitor buparlisib in patients with platinum-refractory metastatic UC.

METHODS

Two cohorts were recruited: an initial genetically unselected cohort and a subsequent expansion cohort of patients with PI3K/Akt/mTOR pathway-altered tumors. The primary endpoint was the 2-month progression-free survival rate. A rate of ≥80% was considered promising using a Simon 2-stage minimax design. Secondary endpoints included safety and correlation of markers of PI3K pathway activation with outcome.

RESULTS

Six of 13 evaluable patients within the initial cohort demonstrated stable disease and 1 demonstrated a partial response, which was below the cutoff of 9 patients required to proceed to stage 2. Three of the patients with stable disease and the patient with a partial response harbored somatic TSC1 alterations. Four patients subsequently were recruited onto an expansion cohort: 3 patients with TSC1 alterations and 1 patient with a PIK3CA-activating mutation. No patient achieved disease control at 8 weeks and accrual was halted. Of the 19 patients evaluable for toxicity, 17 demonstrated treatment-related toxicities, 2 of whom had to discontinue therapy.

CONCLUSIONS

Buparlisib was found to demonstrate modest activity in patients with metastatic UC whose tumors harbored TSC1 loss of function alterations; however, this was not a robust predictor of response to buparlisib. The pattern of genetic coalterations likely influences drug sensitivity. Given the modest clinical activity and substantial toxicity of buparlisib, future trials of PI3K inhibitors in patients with UC should focus on isoform-selective PI3K inhibitors in genomically selected patients.

LAY SUMMARY

The phosphatidyl 3-inositol kinase (PI3K)/Akt/mechanistic target of rapamycin (mTOR) signaling pathway frequently is upregulated in patients with metastatic urothelial carcinoma (UC). This trial explored buparlisib, an inhibitor of the pathway, in patients with heavily pretreated metastatic UC. Although the drug was found to have modest efficacy, with 6 patients experiencing stable disease and 1 patient achieving a partial response at 8 weeks on therapy, significant side effects also were observed. Patients with specific genetic alterations responded to treatment. Further studies of PI3K pathway inhibition are warranted using newer agents that have superior toxicity profiles and are more selective inhibitors of the pathway.

Leveraging Systematic Functional Analysis to Benchmark an In Silico Framework Distinguishes Driver from Passenger MEK Mutants in Cancer

Despite significant advances in cancer precision medicine, a significant hurdle to its broader adoption remains the multitude of variants of unknown significance identified by clinical tumor sequencing and the lack of biologically validated methods to distinguish between functional and benign variants. Here we used functional data on MAP2K1 and MAP2K2 mutations generated in real-time within a co-clinical trial framework to benchmark the predictive value of a three-part in silico methodology. Our computational approach to variant classification incorporated hotspot analysis, three-dimensional molecular dynamics simulation, and sequence paralogy. In silico prediction accurately distinguished functional from benign MAP2K1 and MAP2K2 mutants, yet drug sensitivity varied widely among activating mutant alleles. These results suggest that multifaceted in silico modeling can inform patient accrual to MEK/ERK inhibitor clinical trials, but computational methods need to be paired with laboratory- and clinic-based efforts designed to unravel variabilities in drug response. SIGNIFICANCE: Leveraging prospective functional characterization of MEK1/2 mutants, it was found that hotspot analysis, molecular dynamics simulation, and sequence paralogy are complementary tools that can robustly prioritize variants for biologic, therapeutic, and clinical validation.See related commentary by Whitehead and Sebolt-Leopold, p. 4042.

Abstract PR08: AKT mutant allele-specific activation dictates pharmacologic sensitivities

The objective of this study is to explore the biochemical characteristics and therapeutic sensitivity profiles of novel, non-E17K, less frequent AKT1 mutations, and thereby expand the biomarker of sensitivity to AKT inhibition in molecularly defined cancer patients. AKT is a critical signaling node that translates phosphoinositide 3-kinase (PI3K) pathway stimulation into diverse cellular effects. Gain-of-function AKT1 mutations arise in diverse human cancers, of which E17K is the most common. Presence of AKT1 E17K mutation renders these tumors susceptible to AKT inhibition. Nevertheless, the long tail of potentially activating mutations in AKT is largely uncharacterized, thereby limiting our ability to act clinically in prospectively sequenced advanced cancer patients. We performed a population-scale candidate driver mutation discovery analysis in AKT1, AKT2 and AKT3 in a cohort of 41,075 retrospectively and prospectively sequenced primary and metastatic cancers and explored both their functional and biologic impact as well as their therapeutic sensitivity. Our results demonstrated that some, but not all, of the identified AKT missense mutations activated PI3K signaling in a growth factor-independent manner, and sensitized tumor cells to diverse AKT inhibitors. By contrast, we discovered a different class of small in-frame paralogous AKT duplication mutants that induced distinctive structural changes, leading to a far greater degree of membrane affinity, AKT activation, pathway dependence, and hypersensitivity to ATP-competitive AKT inhibitors, while conferring resistance to allosteric AKT inhibitors. Leveraging a co-clinical trial framework, we are now enrolling patients on the basis of these mutations in a basket study involving AKT alterations. One such case was that of a castration-resistant metastatic prostate cancer patient who harbored AKT2 duplication mutant, and subsequently responded to AKT inhibition. Collectively, our data indicate that the degree and mechanism of activation of oncogenic AKT mutants vary, thereby dictating allele-specific pharmacologic sensitivities to AKT inhibition.

This abstract is also being presented as Poster B20.

Citation Format: Tripti Shrestha Bhattarai, Tambudzai Shamu, Swati Patel, Alexander Gorelick, Matthew T. Chang, Elena I. Gavrila, JianJong Gao, Mark T.A. Donoghue, Paul S. Gao, Tara Soumerai, Wassim Abida, Lilian M. Smyth, David M. Hyman, David B. Solit, Barry S. Taylor. AKT mutant allele-specific activation dictates pharmacologic sensitivities [abstract]. In: Proceedings of the AACR Special Conference on Targeting PI3K/mTOR Signaling; 2018 Nov 30-Dec 8; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Res 2020;18(10_Suppl):Abstract nr PR08.

Abstract 1308: CDK12 alterations define a distinct molecular subtype of prostate cancers with unique genomic and clinical characteristics

Background: CDK12 alterations are present in several tumor types but little is known regarding their oncogenic role and their clinical significance. Here we sought to describe the landscape of CDK12 alterations across solid cancers and the clinical features of CDK12-altered prostate cancer.

Methods: A total of 26,743 patients across 25 solid tumor types with available targeted sequencing data from MSK-IMPACT as part of their clinical care were included. Clinicopathological features and outcomes were assessed in prostate cancer. CDK12 alterations and association with genomic characteristics are described. For prostate cancer patients, overall survival from the date of metastasis and time to castration-resistance from the start of androgen deprivation therapy were assessed using univariable and multivariable Cox regression analysis.

Results: CDK12 alterations were identified in 404/26,743 (1.5%) patients overall, but were most frequent in prostate (100/1875, 5.3%) and ovarian cancer (43/1034, 4.2%) where they were associated with a high prevalence of truncating variants and biallelic inactivation. CDK12 alterations defined a distinct subtype of prostate cancer with more aggressive clinical features, a unique copy number alteration profile and involvement of distinct oncogenic pathway alterations, including cell cycle pathway genes. Independent of standard clinical factors and genomic instability, CDK12-altered prostate cancer patients were associated with shorter overall survival (median 64.4 vs 74.9 months, adjusted hazard ratio [aHR] 1.65, 95% CI 1.07-2.53, p = 0.03) and shorter time to the development of castration-resistant disease (median 10.8 months vs 13.1, aHR 1.43, 95%CI 1.07-1.8, p = 0.02).

Conclusions: CDK12 loss of function is a rare event across solid cancers but defines a distinct molecular subtype of prostate cancer that is associated with more aggressive clinical features and unique genomic alterations.

Citation Format: Bastien Nguyen, Jose Mauricio Mota, Subhiksha Nandakumar, Konrad H. Stopsack, Emily Weg, Dana Rathkopf, Michael J. Morris, Howard Scher, Philip W. Kantoff, Anuradha Gopalan, Dmitriy Zamarin, David B. Solit, Nikolaus Schultz, Wassim Abida. CDK12 alterations define a distinct molecular subtype of prostate cancers with unique genomic and clinical characteristics [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1308.

Abstract 1122: Germline mutation prevalence in young adults with cancer

The identification of germline pathogenic variants in young adult cancer patients is especially critical given risk of second primary cancers, need for appropriate long-term surveillance, potential reproductive implications, and cascade testing of at-risk family members. We sought to determine the prevalence of germline susceptibility in cancer patients, age 18-39, across diverse solid tumor phenotypes. A total of 1201 cases, diagnosed between ages 18-39 were prospectively ascertained from 2015-2019 under a human subjects-approved protocol that provided result transmission of germline analysis. A next-generation sequencing panel consisting of up to 88 genes previously implicated in cancer predisposition (MSK-IMPACT) was utilized. Based on SEER data, we refined our population of young cancer patients into those with 1) early-onset cancer (EO-CA), defined as cancer wherein age 39 is &gt;1 standard deviation (STD) below the mean age of diagnosis for that cancer type and 2) young-adult cancer (YA-CA), defined as cancer wherein age 39 is &lt;1 STD below the mean age at cancer diagnosis. Among EO-CA (n=877) cases, the most common cancers included colorectal, breast, kidney, pancreas, and ovarian cancer, while among YA-CAs (n=324), the most frequent diagnoses were sarcoma, brain, testicular and thyroid cancer. Germline prevalence of likely pathogenic or pathogenic variants (PV) was 21% in the EO-CA versus 13% in YA-CA patients (p=0.002), with an enrichment of high- and moderate-penetrance PVs in the EO-CA cohort (15% vs 10%; p=0.01). Among EO-CAs, the most commonly mutated genes were BRCA2, BRCA1, CHEK2 and ATM, with pancreas, breast, and kidney cancer harboring the highest rates of germline PVs. In contrast, in the YA-CA cohort, TP53 and SDHA mutations predominated. Among YA-CA patients with sarcoma, the 18.1% mutation prevalence was similar to the prevalence in EO-CAs. Matched tumor analyses assessing biallelic inactivation is on-going and will be presented. Among young adults with early-onset phenotypes of malignancies typically presenting at later ages, the increased prevalence of germline PVs supports a role for genetic testing irrespective of tumor type.

Citation Format: Zsofia K. Stadler, Anna Maio, Angelika Padunan, Yelena Kemel, Erin Salo-Mullen, Margaret Sheehan, Kimeisha Belanfanti, Prince R. Tejada, Ozge Birsoy, Diana Mandelker, Liying Zhang, Jesse Galle, Darren Feldman, Laura Boucai, Julia Glade Bender, Anna Piotrowski, Carol Aghajanian, Karen A. Cadoo, Maria I. Carlo, Michael Walsh, Yelena Janjigian, Eileen O'Reilly, Lisa M. DeAngelis, David B. Solit, Barry Taylor, Andrea Cercek, William Tap, Mark E. Robson, Michael F. Berger, Kenneth Offit, Luis A. Diaz. Germline mutation prevalence in young adults with cancer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1122.

Abstract 3208: OncoKB, a precision oncology knowledgebase

OncoKB is a precision oncology knowledge base that annotates the oncogenic effects and clinical actionability of somatic alterations in cancer. Initially focused on solid tumors, OncoKB was introduced in 2016 with &gt;200 genes and almost 3000 somatic alterations via a public website (oncokb.org) and through the cBioPortal for Cancer Genomics. OncoKB now contains annotations for &gt5000 alterations in 642 genes. This includes 30 Level 1 alterations (included in the FDA drug label; a growth of 114% since 2016), 15 Level 2 alterations (included in the NCCN guidelines; 50% growth), and 38 Level 3A alterations (predictive of drug response in well-powered clinical studies; 65% growth). OncoKB now also supports hematologic malignancies with two new levels of evidence systems that encompass diagnostic and prognostic implications (in addition to therapeutic implications) and 288 heme-specific alterations in 156 newly curated cancer-associated genes. At MSK, OncoKB is used for the annotation of 1000 molecular patient reports per month. To assess the clinical utility of OncoKB and changes in the frequency of actionable alterations, we performed a comparison between the AACR Project GENIE cohort from 2017 and the most recent one (Table 1). With an increased number of tumor types and greater inclusion of hematologic malignancies, the overall potential actionability rate increased by 3.6 percentage points. A shift in access to targeted cancer therapies is also observed, where Level 1 or 2 alterations increased over 5 percentage points and Level 3 alterations decreased by ~3 percentage points, perhaps reaping the benefits of recent successful phase III trials.

August 2017 (v1.1)December 2019 (v7.2)AACR Project GENIE cohort size18,80480,248Tumor types with &gt;100 samples3151Hematologic malignancies included29Level 1 or 2 annotation7.3%12.9%Level 3A annotation6.4%4.7%Level 3B annotation17.8%17.5%Total potential actionability31.5%35.1%

While only a subset of patients with targetable alterations will benefit from treatments, there is ample evidence that targeted cancer therapies can have profound and durable clinical activity. Knowledgebases such as OncoKB have become a key component to support clinical decision making, and there is a continued need to expand their capabilities while maintaining a nuanced approach to annotation.

Citation Format: Sarah Suehnholz, Hongxin Zhang, Moriah Nissan, Ritika Kundra, Jing Su, Lindsay LaFave, Kinisha Gala, Chad Vanderbilt, Maria Arcila, Marc Ladanyi, Michael Berger, Ahmet Zehir, Julia E. Rudolph, Paul Sabbatini, Ross Levine, Ahmet Dogan, Jianjiong Gao, David B. Solit, Nikolaus Schultz, Debyani Chakravarty. OncoKB, a precision oncology knowledgebase [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3208.

Abstract B20: Characterization of tumor mutational landscape in smokers and nonsmokers with urothelial carcinoma

Introduction and Objectives: Smoking is a major risk factor for development of bladder cancer. It has been previously shown that smoking-related and non-smoking-related cancers have characteristic mutational signatures. Hypothesizing that somatic alterations differ between smokers and nonsmokers with urothelial carcinoma, we used next-generation sequencing to evaluate for differences in genomic alterations between these two groups of patients.

Methods: We identified in our prospectively maintained institutional database all patients with urothelial carcinoma whose tumors underwent next-generation sequencing using the Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT) assay. A panel of genes previously reported by The Cancer Genome Atlas (TCGA) as being commonly mutated in bladder cancer was chosen for analysis.

Results: A total of 1,044 samples from 968 patients were included in the analysis. Seven hundred eighty-five (85%) of the samples represented bladder tumors and 259 (25%) of the samples represented tumors of the upper tract. Patients with smoking history comprised 66% of the cohort. The most frequently altered genes in active or former smokers and never smokers were TERT promoter (55% and 60%), TP53 (43% and 41%), KDM6A (30% and 26%), and FGFR3 (27% and 26%).

Conclusions: Mutational profiling of urothelial tumors in this large cohort of patients showed high incidence of genomic alterations consistent with prior studies. The frequency of alterations in these genes was similar between smokers and nonsmokers. To further understand smoking-related mutational process, we are examining mutational signatures and differences in genomic alterations as a function of smoking intensity exposure.

Citation Format: Aleksandra Walasek, Nima Almassi, Min Yuen Teo, Samuel Funt, Nikolaus Schultz, Guido Dalbagni, Wenhu Hu, Hikmat Al-Ahmadie, Dean F Bajorin, Jonathan E Rosenberg, Gopakumar Iyer, Bernard H. Bochner, David B. Solit, Eugene J. Pietzak. Characterization of tumor mutational landscape in smokers and nonsmokers with urothelial carcinoma [abstract]. In: Proceedings of the AACR Special Conference on Bladder Cancer: Transforming the Field; 2019 May 18-21; Denver, CO. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(15_Suppl):Abstract nr B20.