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Translational research

4205 - A novel radiomic based imaging tool to monitor tumor lymphocyte infiltration and outcome of patients treated by anti-PD-1/PD-L1

Date

09 Sep 2017

Session

Translational research

Presenters

Roger Sun

Citation

Annals of Oncology (2017) 28 (suppl_5): v573-v594. 10.1093/annonc/mdx390

Authors

R. Sun1, E.J. Limkin2, L. Dercle3, S. Champiat4, S. Reuzé2, D. Brandao5, L. Verlingue4, S. Ammari6, S. Aspeslagh7, A. Schernberg1, S. Postel-Vinay8, A. Hollebecque4, C. Massard7, A. Marabelle7, C. Robert2, J. Soria8, E. Deutsch1, C. Ferté9

Author affiliations

  • 1 Radiotherapy Department, Radiomics Inserm U1030, Institut Gustave Roussy, 94800 - Villejuif/FR
  • 2 Radiomics Inserm U1030, Institut Gustave Roussy, 94800 - Villejuif/FR
  • 3 Nuclear Medicine, Institut Gustave Roussy, 94800 - Villejuif/FR
  • 4 Drug Development Department (ditep), Institut Gustave Roussy, 94800 - Villejuif/FR
  • 5 Inserm U1170, Gustave Roussy Cancer Campus Grand Paris, 94800 - Villejuif/FR
  • 6 Radiology, Institut Gustave Roussy, 94800 - Villejuif/FR
  • 7 Drug Development Department (ditep), Gustave Roussy Cancer Campus, 94805 - Villejuif/FR
  • 8 Drug Development Department (ditep), Gustave Roussy, 94805 - Villejuif/FR
  • 9 Head And Neck, Gustave Roussy, 94805 - Villejuif/FR
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Resources

Abstract 4205

Background

Tumor infiltrating lymphocytes (TIL) appears necessary to trigger anticancer activity of anti-PD-1/PD-L1. Radiomics consists in the analysis of quantitative data extracted from standard medical imaging to generate imaging biomarkers. We developed a radiomics-based predictor of TIL and investigated whether such signature could predict the outcome of patients treated by anti-PD1/PD-L1.

Methods

We first developed a predictive model of tumor infiltrating CD8 T cells with RNA-Seq and raw imaging data (CT –Scan) using random forest in 69 HNSCC patients from the TCGA (The Cancer Genome Atlas)/TCIA (The Cancer Imaging Archive) database. CD8 T cells were estimated by the Microenvironment Cell Populations-counter signature. To validate our tool, this signature was applied to a first independent cohort of 100 patients for which the pathologic TIL was assumed as either high (lymphoma, melanoma, lung, bladder, renal and MSI+ cancers; 30 patients) or low (adenoid cystic carcinoma, low-grade neuroendocrine tumors, uterine leiomyoma; 70 patients). Finally, we applied our signature on a second cohort of 139 patients prospectively enrolled in anti-PD-1/PD-L1 phase 1 trials to infer its relation with patient outcome (Overall Survival).

Results

We developed a CD8 radiomics-based signature with six out of the 80 extracted features from CT-scans. As an internal validation, the correlation of this signature with the estimated TCGA CD8 was: spearman’s rho=0.81 (P 

Conclusions

The radiomics-based signature of TIL was validated in two external cohorts. It appears a promising tool to estimate TIL and to infer the outcome of metastatic patients treated with anti-PD1/PD-L1.

Clinical trial identification

Legal entity responsible for the study

Ferté Charles

Funding

None

Disclosure

L. Verlingue: consulting Adaptherapy J-C. Soria: Consultancy fees from AstraZeneca, Astex, Clovis, GSK, Gammamabs, Lilly, MSD, Mission Therapeutics, Merus, Pfizer, Pharmamar Pierre Fabre, Roche-Genentech, Sanofi, Servier, Symphogen, Takeda. All other authors have declared no conflicts of interest.

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