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  5. Association between PD1 mRNA and response to anti-PD1 monotherapy across multiple cancers.

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Article
English
2018

Association between PD1 mRNA and response to anti-PD1 monotherapy across multiple cancers.

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English
2018
Journal of Clinical Oncology
Vol 36 (15_suppl)
DOI: 10.1200/jco.2018.36.15_suppl.3076

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Josep M. Llovet
Josep M. Llovet

Translational Research In Hepatic Oncology

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Laia Paré
Tomás Pascual
Elia Seguí
+17 more

Abstract

3076 Background: In advanced cancer, the overall response rate (ORR) following anti-PD1 monotherapy is variable (0% to 50%). Here, we hypothesized that this observation is partly explained by different amounts of the drug target (i.e. PD1) in the tumor. Methods: RNA-seq data from 10,078 tumors representing 34 cancer-types were obtained from TCGA. The expression of PD1 and 566 immune-related genes/signatures were evaluated. Correlations between each gene/signature and ORRs reported in the literature were calculated. We included only studies of anti-PD1 monotherapy that enrolled at least 20 patients (pts) who were not selected for PDL1 expression. To translate the in-silico findings to the clinical setting, we analyzed the expression of PD1 mRNA using the nCounter platform in 694 formalin-fixed paraffin embedded (FFPE) tumor samples from 16 cancer-types. Finally, we evaluated FFPE-based PD1 mRNA from an independent dataset of 102 pts with advanced solid tumors treated with anti-PD1 monotherapy. Results: PD1 expression varied significantly across TCGA (p < 0.001) with 0% to 84% of tumors within a cancer-type being PD1-high (H) (defined as %ile 80). Interestingly, % of PD1-H tumors within a cancer-type were found highly correlated with ORRs reported in the literature (correlation coefficient [CC] = 0.91), suggesting that 83% of the differences in the ORR across cancer-types may be explained by the abundance of PD1. Lower CCs were identified with different PD1 cutoffs, other genes/signatures and tumor mutational burden. To translate these findings in clinical samples, the expression of PD1 was evaluated in 773 FFPE tumor samples across 17 cancer-types. Using the optimal cutoff (%ile 80), similar proportions of PD1-H tumors within each cancer-type were identified in our in-house FFPE-based cohort compared to TCGA (CC = 0.92). Finally, the optimal PD1 FFPE-based cutoff was found significantly associated with ORR (PD1-H 42.8% vs. PD1-low 17.6; P = 0.018) in 102 pts with advanced cancer treated with anti-PD1 monotherapy. Conclusions: Our findings highlight the strong relationship between PD1 mRNA expression and the activity of anti-PD1 therapies across multiple cancers.

How to cite this publication

Laia Paré, Tomás Pascual, Elia Seguí, María González‐Cao, Cristina Teixidó, A. Rodríguez, Blanca González‐Farré, Míriam Cuatrecasas, Estela Pineda, Guillermo Crespo, Salvador Martín‐Algarra, Elisabeth Pérez-Ruíz, Begoña Mellado, Joan Maurel, Javier García Corbacho, Miguel Ángel Molina‐Vila, Josep M. Llovet, Noemı́ Reguart, Ana Arance, Aleix Prat (2018). Association between PD1 mRNA and response to anti-PD1 monotherapy across multiple cancers.. Journal of Clinical Oncology, 36(15_suppl), pp. 3076-3076, DOI: 10.1200/jco.2018.36.15_suppl.3076.

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Publication Details

Type

Article

Year

2018

Authors

20

Datasets

0

Total Files

0

Language

English

Journal

Journal of Clinical Oncology

DOI

10.1200/jco.2018.36.15_suppl.3076

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