Raghav, L. | Search bioRxiv

bioRxiv2024

Association of oropharyngeal cancer recurrence with tumor-intrinsic and immune-mediated sequelae of reduced genomic instability

BackgroundLimited understanding of the biology predisposing certain human papillomavirus-related (HPV+) oropharyngeal squamous cell carcinomas (OPSCCs) to relapse impedes therapeutic personalization. We aimed to identify molecular traits that distinguish recurrence-prone tumors. Methods50 HPV+ OPSCCs that later recurred (cases) and 50 non-recurrent controls matched for stage, therapy, and smoking history were RNA-sequenced. Groups were compared by gene set enrichment analysis, and select differences were validated by immunohistochemistry. Features discriminating groups were scored in each tumor using gene set variation analysis, and scores were evaluated for recurrence prediction ability. ResultsCases downregulated pathways linked to anti-tumor immunity (FDR-adjusted p<.05) and contained fewer tumor-infiltrating lymphocytes (p<.001), including cytotoxic T-cells (p=.005). Cases also upregulated pathways related to cell division and other aspects of tumor progression. Upregulated and downregulated pathways were respectively used to define a tumor progression score (TPS) and immune suppression score (ISS) for each tumor. Correlation between TPS and ISS (r=.603, p<.001) was potentially explained by observed upregulation of DNA repair pathways in cases, which might enhance their progression directly and by limiting cytosolic DNA-induced inflammation. Accordingly, cases contained fewer double-strand breaks based on staining for phospho-RPA32 (p=.006) and {gamma}-H2AX (p=.005) and downregulated pro-inflammatory components of the cytoplasmic DNA sensing pathway. A combined score derived from TPS and ISS optimized recurrence prediction and stratified survival in a manner generalizable to three external cohorts. ConclusionsWe provide novel evidence that limiting genomic instability makes tumor-intrinsic and immune-mediated contributions to HPV+ OPSCC recurrence risk, opening opportunities to detect and target this treatment-resistant biology.

cancer biology↗

bioRxiv2022

Cancer type-specific prioritization strategy for targetable dependencies developed from the DepMap profile of head and neck cancer

ObjectivesThe DepMap genome-wide loss of function CRISPR screens offer new insight into gene dependencies in HPV(-) head and neck squamous cell carcinoma (HNSCC) cell lines. We aimed to leverage this data to guide preclinical studies by cataloging novel targetable dependencies that are predicted to offer a useful therapeutic window. We also aimed to identify targets potentially representing synthetic lethalities by testing for associations between genetic alterations and gene dependency profile. MethodsDepMap was queried for gene probability and effect scores in cell lines from 87 tumors, including 63 HPV(-) HNSCCs plus 24 esophageal squamous cell carcinomas (ESCCs), which have comparable etiology, tissue or origin, and genetic profile to HNSCC. A probability score of [≥] 0.5 was used as the threshold for essentiality. Essential genes were selected for analysis by 4 criteria: (1) presence in [≥]10% cell lines, (2) lack of common essential designation by DepMap, (3) lack of predicted dependency in normal cell lineages, and (4) designation as druggable by the Drug-Gene Interaction Database. ResultsThe 143 genes meeting selection criteria had a median gene effect score of 0.56. Selection criteria captured targets of standard therapeutic agents of HNSCC including TYMS (5-FU), tubulin genes (taxanes), EGFR (cetuximab), plus additional known oncogenes like PIK3CA and ERBB3. Functional classification analysis showed enrichment of tyrosine kinases, serine/threonine kinases, RNA-binding proteins, and mitochondrial carriers. 90% of the 143 dependencies were not known oncogenes in the OncoKB Database. 10% of targets had inhibitors previously used in a non-HNSCC phase II trial, including 8 that have not yet been tested in cancer. The 13 genes with median gene effect scores greater than of PIK3CA and not well-studied in HNSCC were assigned highest priority, including DHRSX, MBTPS1, TDP2, FARS2, TMX2, RAB35, CFLAR, GPX4, SLC2A1, TP63, PKN2, MAP3K11, and TIPARP. A novel association was found between NOTCH1 mutation and increased TAP1 dependency. ConclusionsThe DepMap CRISPR screens capture well-studied targets in HNSCC as well as numerous genes without known roles in HNSCC or malignancy in general. Several of these targets have well-developed inhibitors that provide resources to guide preclinical studies. Association of some of the dependencies with known molecular subgroups in HNSCC may enhance use of cell line models to guide personalization of therapy.

cancer biology↗