TY - JOUR
T1 - Prognostic value of tumor immune biomarkers in biopsies from patients with refractory solid cancers
AU - Lambert, Tiphaine
AU - Pobel, Cedric
AU - Colmet-Daage, Léo
AU - Bigorgne, Amélie
AU - RaubyY, Brice
AU - Aladro, Nicolas Sanchez Escobar
AU - Ter-MinassianN, Lucile
AU - Kerisit, Marie
AU - Marabelle, Aurélien
AU - Besse, Benjamin
AU - Hollebecque, Antoine
AU - Champiat, Stéphane
AU - Massard, Christophe
AU - Morel, Daphné
AU - Velringue, Loic
AU - Scoazec, Jean Yves
N1 - Publisher Copyright:
© 2022 The Authors
PY - 2022/1/1
Y1 - 2022/1/1
N2 - PD-L1 and tumor-infiltrating lymphocytes play a key role in the immune escape of cancer, although their prognostic value remains unknown in patients with refractory solid cancer compared to other known prognostic estimation methods. In this ancillary study, we assessed the prognostic value of previously-defined prognostic scores (such as the Royal Marsden Hospital (RMH) score) and of PD-L1, CD3, CD8 and FOXP3 expressions based on immunohistochemistry (IHC) and RNA sequencing (RNAseq) of tumor samples from patients included in the personalized-medicine MOSCATO-02 trial. We collected biopsies with successful IHC analysis from 266 patients treated between April 2016 and September 2017, among whom 170 (63.9%) also had a matched RNAseq. We used a Random Forest model to identify the best prognostic factor, and a Lasso-penalized Cox model to validate the findings. We found that the RMH score was the strongest prognostic factor, with high scores associated with a higher risk of death (Hazard Ratio (HR)=1.29; CI95%[1.19-1.21]). The PD-L1 expression score obtained from IHC analyses was the second-best performing predictor, with the 1+ score (low expression) linked to a lower risk of death (HR=0.564; CI95%[0.539-0.580]). Other tested variables, including primary tumor type and subsequent treatments received following biopsy, were not found significantly linked to prognosis. We found modest correlation between IHC and RNAseq expressions of immune genes, but RNAseq related better to prognosis. Overall, our study supports the use of the RMH score and the assessment of PD-L1 expression in IHC to estimate prognosis in patients with advanced cancer.
AB - PD-L1 and tumor-infiltrating lymphocytes play a key role in the immune escape of cancer, although their prognostic value remains unknown in patients with refractory solid cancer compared to other known prognostic estimation methods. In this ancillary study, we assessed the prognostic value of previously-defined prognostic scores (such as the Royal Marsden Hospital (RMH) score) and of PD-L1, CD3, CD8 and FOXP3 expressions based on immunohistochemistry (IHC) and RNA sequencing (RNAseq) of tumor samples from patients included in the personalized-medicine MOSCATO-02 trial. We collected biopsies with successful IHC analysis from 266 patients treated between April 2016 and September 2017, among whom 170 (63.9%) also had a matched RNAseq. We used a Random Forest model to identify the best prognostic factor, and a Lasso-penalized Cox model to validate the findings. We found that the RMH score was the strongest prognostic factor, with high scores associated with a higher risk of death (Hazard Ratio (HR)=1.29; CI95%[1.19-1.21]). The PD-L1 expression score obtained from IHC analyses was the second-best performing predictor, with the 1+ score (low expression) linked to a lower risk of death (HR=0.564; CI95%[0.539-0.580]). Other tested variables, including primary tumor type and subsequent treatments received following biopsy, were not found significantly linked to prognosis. We found modest correlation between IHC and RNAseq expressions of immune genes, but RNAseq related better to prognosis. Overall, our study supports the use of the RMH score and the assessment of PD-L1 expression in IHC to estimate prognosis in patients with advanced cancer.
KW - Cancer biomarkers
KW - RNAseq
KW - immune checkpoint
KW - immunohistochemistry
KW - tumor infiltrating lymphocytes
UR - http://www.scopus.com/inward/record.url?scp=85134835263&partnerID=8YFLogxK
U2 - 10.1016/j.ctarc.2022.100611
DO - 10.1016/j.ctarc.2022.100611
M3 - Article
C2 - 35905672
AN - SCOPUS:85134835263
SN - 2468-2942
VL - 32
JO - Cancer Treatment and Research Communications
JF - Cancer Treatment and Research Communications
M1 - 100611
ER -