Tumor inflammatory signature as a biomarker of response to immunotherapy in lung cancer.

Authors

null

Sarabjot Pabla

OmniSeq, Inc., Buffalo, NY

Sarabjot Pabla, Erik Van Roey, Jeffrey M. Conroy, Sean Glenn, Yirong Wang, Mary Nesline, Blake Burgher, Vincent Giamo, Jonathan Andreas, Felicia L. Lenzo, Carl Morrison

Organizations

OmniSeq, Inc., Buffalo, NY, OmniSeq, Inc, Buffalo, NY

Research Funding

No funding received
None

Background: Tumor Inflammation signatures (TIS) comprising multiple immune genes have been shown to enrich for response to ICI. To study this immune phenotype in a large cohort of clinically evaluated patients, we studied gene expression data for a stable pan-cancer tumor inflammation profile and clinical response to ICI. Methods: 1323 FFPE tumors from 35 histologies were tested by RNA-seq, PD-L1 IHC and DNA-seq for TMB. Unsupervised analysis of the RNA-seq data revealed a cluster of 160 genes which separated inflamed from non-inflamed tumor microenvironments (TME). A TIS, algorithmically defined as the mean mRNA expression of the 160 genes was developed with each tumor assigned into a weak, moderate or strong inflammation group. PD-L1 IHC was performed using DAKO 22C3 antibody and considered positive if TPS ≥1%. TMB > 10 mut/Mb was considered high. The TIS, PD-L1 and TMB were independently applied to 110 NSCLC cases for association with ORR to ICIs by RECIST criterion. Results: Unsupervised clustering identified 3 inflammation clusters in the 1323 samples; inflamed (n = 439; 33.2%), borderline (n = 467; 35.3%) and non-inflamed (n = 417; 31.5%). 160 genes are over-represented by T & B-cell activation, IFNg, chemokine, cytokine and interleukin pathways. The TIS algorithm results in an inflammatory score that leads to 3 distinct groups of strong (n = 384; 29.0%), moderate (n = 354; 26.8%) and weak (n = 585; 44.2%) inflammation. Strongly inflamed tumors are over-represented by PD-L1+ tumors (240/384) whereas weakly inflamed tumors are significantly under-represented by PD-L1+ tumors (369/585; p = 1.02e-14). Strongly inflamed tumors presented with improved ORR to ICI in NSCLC (36.6%; 16/44; p = 0.051). Similar results were observed for overall survival for strongly inflamed tumors (median = 16 months; p = 0.0012) vs. weakly inflamed tumors (median = 8 months). ORR for PD-L1+ 33.96% (p = 0.026) and TMB high 21.43% (p = 0.83) were observed. Conclusions: Concurrent measurement of multiple markers led to a comprehensive, stable TIS that predicts host immune response. A strongly inflamed TIS was associated with higher ORR versus single biomarker PD-L1 and TMB in NSCLC.

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Abstract Details

Meeting

2020 ASCO-SITC Clinical Immuno-Oncology Symposium

Session Type

Poster Session

Session Title

Poster Session B

Track

Breast and Gynecologic Cancers,Developmental Therapeutics,Genitourinary Cancer,Head and Neck Cancer,Lung Cancer,Melanoma/Skin Cancers,Gastrointestinal Cancer,Combination Studies,Implications for Patients and Society,Miscellaneous Cancers,Hematologic Malignancies

Sub Track

Biomarkers and Inflammatory Signatures

Citation

J Clin Oncol 38, 2020 (suppl 5; abstr 47)

Abstract #

47

Poster Bd #

B8

Abstract Disclosures