Poster Display Poster Display session

18P - Systematic evaluation of published predictive gene expression signatures in pan-cancer patient cohorts treated with immune checkpoint inhibitors in a real-world setting (ID 119)

Presentation Number
18P
Lecture Time
12:30 - 12:30
Speakers
  • Ahmad A. Tarhini (Tampa, PA, United States of America)
Session Name
Poster Display
Room
Foyer mezzanine
Date
Thu, Dec 8, 2022
Time
12:30 - 13:15

Abstract

Background

Previous studies developed predictive biomarkers related to immune checkpoint inihibitors (ICI) based on clinical trials cohorts. Here, we leverage the ORIEN data conducted under the Total Cancer Care protocol across 18 collaborating cancer centers to evaluate the predictive value of published gene expression signatures in real-world data (RWD) of patients with cancer treated with ICI.

Methods

Overall Survival (OS) was the primary endpoint. RNA-seq performed on tumors was aligned to human reference genome (GRCh38) following RSEM pipeline. Gene expressions were quantified as TPM and log2(TPM+1) transformed. 28 published predictive gene expression signatures were collected and evaluated in our cohort (Table). Mann-Whitney U-test was used to compute the difference between groups, and Kaplan-Meier survival analysis was performed. Test with p<0.05 was considered statistically significant.

Results

659 patients treated with ICI for kidney cancer (n = 151), lung cancer (n = 138), melanoma (n = 123), head and neck cancer (n = 121), sarcoma (n = 78) and bladder cancer (n = 48) were included. We defined “good” and “poor” outcomes if OS was >24 or <24 months, respectively. Twelve immune active gene signatures were associated with ICI responses in melanoma (p < 0.05); Table. An angiogenesis signature (p = 0.0281) and a tertiary lymphoid structure signature (p= 0.0133) were associated with ICI responses in kidney cancer and head and neck cancer, respectively. None of the 28 evaluated gene signatures were associated with ICI responses in lung cancer, bladder cancer or sarcoma.

Conclusions

We validated the predictive value of immune related gene signatures in melanoma, kidney, head and neck cancers utilizing RWD. Ongoing analyses are taking on a discovery approach for predictive genes and related pathways to better understand the underlying mechanisms related to tumor immunogenicity across the different tumor types.

Gene expression signatures and correlation with survival (>24 vs. <24 months)

Gene Signature Reference P-value Cancer
Tertiary Lymphoid Str. Cabrita 2020 0.0133 Head & neck
Angiogenesis Cristescu 2022 0.0281 Kidney
IFNg/Effector T cell Fehrenbacher 2016 0.001 Melanoma
Effector T cell Bolen 2011 0.0013
IFNg-6 Ayers 2017 0.0017
Immune Cytolytic Activity Rooney 2015 0.002
IFNg-18 Ayers 2017 0.0035
TIP Hot Wang 2021 0.004
Cytotoxic Immune Signature Davoli 2017 0.0047
Tertiary Lymphoid Str. Chaurio 2022 0.0061
Chemokine Coppola 2011, Mule 2012 0.0073
T & B cell interplay Tarhini 2017 0.0114
Roh Immune Score Roh 2017 0.0127
MHC-II Liu 2021 0.0180

Clinical trial identification

NCT03977402.

Legal entity responsible for the study

Oncology Research Information Exchange Network (ORIEN) and M2GEN.

Funding

Oncology Research Information Exchange Network (ORIEN), M2GEN, Community Foundation of Tampa Bay.

Disclosure

A.A. Tarhini: Financial Interests, Personal, Advisory Board: Bristol Myers Squib, Genentech/Roche, Easai, Instil Bio, Clinigen, Regeneron, Sanofi-Genzyme, Novartis, Partner Therapeutics, BioNTech, Merck; Financial Interests, Personal and Institutional, Invited Speaker: Bristol Myers Squibb; Financial Interests, Institutional, Invited Speaker: Genentech-Roche, Nektar, Checkmate, InflaRx; Financial Interests, Institutional, Research Grant: Regeneron, Sanofi-Genzyme, Clinigen, Acrotech, Pfizer, OncoSec. M.L. Churchman: Financial Interests, Institutional, Full or part-time Employment: M2GEN. W.S. Dalton: Financial Interests, Personal, Full or part-time Employment: M2GEN. All other authors have declared no conflicts of interest.

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