Predication of clinical outcomes of advanced cutaneous squamous cell carcinoma to PD1 inhibition directly from histopathology slides using inferred transcriptomics.

J Johnathan Arnon (Sharett Institute of Oncology, Hadassah Hebrew Universty Medical Center, Jerusalem, Israel) G Gal Dinstag (Pangea Biomed, Tel Aviv, Israel) B Bohdana Chayen (Sharett Institute of Oncology, Hadassah Hebrew Universty Medical Center, Jerusalem, Israel) O Omer Tirosh (Pangea Biomed, Tel Aviv, Israel) Y Yaron Kinar (Pangea Biomed, Tel Aviv, Israel) D Doreen S. Ben-Zvi (Pangea Biomed, Tel Aviv, Israel) T Tuvik Beker (Pangea Biomed, Tel Aviv, Israel) A Anna Elia (Department of Pathology, Hadassah Hebrew Universty Medical Center, Jerusalem, Israel) E Eli Pikarsky (The Lautenberg Center for Immunology and Cancer Research, IMRIC) R Rottenberg Yakir (Sharett Institute of Oncology, Hadassah Hebrew Universty Medical Center, Jerusalem, Israel) R Ranit Aharonov (Pangea Biomed, Tel Aviv, Israel) A Aron Popovtzer (Hadassah Medical Center, Jerusalem)

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

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
Pages 2630-2630
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (12)

J

Johnathan Arnon

Sharett Institute of Oncology, Hadassah Hebrew Universty Medical Center, Jerusalem, Israel

G

Gal Dinstag

Pangea Biomed, Tel Aviv, Israel

B

Bohdana Chayen

Sharett Institute of Oncology, Hadassah Hebrew Universty Medical Center, Jerusalem, Israel

O

Omer Tirosh

Pangea Biomed, Tel Aviv, Israel

Y

Yaron Kinar

Pangea Biomed, Tel Aviv, Israel

D

Doreen S. Ben-Zvi

Pangea Biomed, Tel Aviv, Israel

T

Tuvik Beker

Pangea Biomed, Tel Aviv, Israel

A

Anna Elia

Department of Pathology, Hadassah Hebrew Universty Medical Center, Jerusalem, Israel

E

Eli Pikarsky

The Lautenberg Center for Immunology and Cancer Research, IMRIC

R

Rottenberg Yakir

Sharett Institute of Oncology, Hadassah Hebrew Universty Medical Center, Jerusalem, Israel

R

Ranit Aharonov

Pangea Biomed, Tel Aviv, Israel

A

Aron Popovtzer

Hadassah Medical Center, Jerusalem