Predication of clinical outcomes of advanced cutaneous squamous cell carcinoma to PD1 inhibition directly from histopathology slides using inferred transcriptomics.
Abstract
2630 Background: Metastatic or locally advanced cutaneous squamous cell carcinoma (CSCC) not amenable to local therapy is treated with programmed death (PD)-1 inhibitors, namely Cemiplimab . While response rates are relatively high at approximately 45%, no predictive biomarkers for PD-1 inhibition have been validated in advanced CSCC subjecting some patients, especially older, to unnecessary immune-related adverse events (irAE). We present a retrospective analysis of ENLIGHT-DP, a novel biomarker for response to PD-1 inhibition in advanced CSCC, calculated directly from histopathological slides. Methods: We retrospectively examined high resolution hematoxylin and eosin (H&E) slide scans from archived tumor-tissue samples of advanced CSCC patients treated with Cemiplimab to generate an individual prediction score to PD-1 inhibitors using ENLIGHT-DP. This is composed of two main steps: (I) prediction of individual mRNA expression directly from H&E slides using the digital pathology-based DeepPT algorithm (II) use these values as input to ENLIGHT, a transcriptomics-based precision oncology platform for prediction of response to cancer therapies. We then unblinded clinical outcomes and assessed the predictive values of ENLIGHT-DP. Results: We evaluated 39 cases of advanced CSCC (tumors from various origins) at a median age of 81 years old (range 57-100). Of them, 32 cases (82%) were initially treated with surgery or radiotherapy with curative intent, but ultimately suffered disease progression. The objective response rate (ORR) was 69%, median progression free survival (PFS) was 11 months (CI 95% 10.4-17.6) and 6 patients (15%) suffered from severe irAE necessitating treatment cessation. ENLIGHT-DP was predictive of response with ROC AUC = 0.67. Using a binary threshold for classification, calibrated on previous lung and head and neck cohorts, ENLIGHT-DP displays promising biomarker characteristics: 81.8% PPV, 66.6% sensitivity and 4.0 OR (p = 0.04) for matched vs. unmatched patients. ENLIGHT-DP successfully stratified PFS with HR 0.02 (CI 95% 0.0005-0.96, p = 0.05). Importantly, omitting cases in which ENLIGHT-DP was calculated on samples which were taken more than 6 months prior to Cemiplimab therapy (i.e., during diagnostic excisions) did not influence the results. No other patient characteristics (e.g., age, stage, co-morbidities, previous treatments) were associated with outcomes. Conclusions: ENLIGHT-DP demonstrates high predictive values for clinical outcomes of PD-1 inhibition in advanced CSCC, relying solely on easily accessible archived H&E slides.
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (12)
Johnathan Arnon
Sharett Institute of Oncology, Hadassah Hebrew Universty Medical Center, Jerusalem, Israel
Gal Dinstag
Pangea Biomed, Tel Aviv, Israel
Bohdana Chayen
Sharett Institute of Oncology, Hadassah Hebrew Universty Medical Center, Jerusalem, Israel
Omer Tirosh
Pangea Biomed, Tel Aviv, Israel
Yaron Kinar
Pangea Biomed, Tel Aviv, Israel
Doreen S. Ben-Zvi
Pangea Biomed, Tel Aviv, Israel
Tuvik Beker
Pangea Biomed, Tel Aviv, Israel
Anna Elia
Department of Pathology, Hadassah Hebrew Universty Medical Center, Jerusalem, Israel
Eli Pikarsky
The Lautenberg Center for Immunology and Cancer Research, IMRIC
Rottenberg Yakir
Sharett Institute of Oncology, Hadassah Hebrew Universty Medical Center, Jerusalem, Israel
Ranit Aharonov
Pangea Biomed, Tel Aviv, Israel
Aron Popovtzer
Hadassah Medical Center, Jerusalem