Artificial intelligence-guided analysis of the tumor microenvironment predicts response to pembrolizumab in rare tumors
Mohamed H Derbala, Bettzy Stephen, Woochan Hwang, Chan-Young Ock, Soohyun Hwang, Joud Hajjar, Seungeun Lee, Jianling Zhou, Serdar A Gurses, Mohamed A Gouda, Kathryn E McGonagle, Anas Alshawa, Lilibeth Castillo, Abdulrazzak Zarifa, Siqing Fu, Sarina A Piha-Paul, Apostolia M Tsimberidou, Funda Meric-Bernstam, Luisa Maren Solis Soto, Maria Gabriela Raso, Siraj Ali, Aung Naing · 2026
Read Artificial intelligence-guided analysis of the tumor microenvironment predicts response to pembrolizumab in rare tumors by Mohamed H Derbala, Bettzy Stephen, Woochan Hwang, Chan-Young Ock, Soohyun Hwang, Joud Hajjar, Seungeun Lee, Jianling Zhou, Serdar A Gurses, Mohamed A Gouda, Kathryn E McGonagle, Anas Alshawa, Lilibeth Castillo, Abdulrazzak Zarifa, Siqing Fu, Sarina A Piha-Paul, Apostolia M Tsimberidou, Funda Meric-Bernstam, Luisa Maren Solis Soto, Maria Gabriela Raso, Siraj Ali, Aung Naing (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13295762.txt.
Description
Mohamed H Derbala and colleagues use artificial intelligence on tumour samples to predict immunotherapy benefit in rare cancers in a 2026 study. Immune cell crowding inside tumours may forecast who answers pembrolizumab, but rare tumours are seldom studied. Biopsies before and during treatment came from 84 patients across ten rare tumour groups.
A learning tool counted tumour-infiltrating immune cells and tumour content on stained slides. High starting immune density tied to longer control in one subgroup and to friendlier immune mixes. Rising immune density plus falling tumour content during treatment tied to longer survival, suggesting paired biopsy measures could guide care in rare cancers.
Catalog record
| CREATOR | Mohamed H Derbala, Bettzy Stephen, Woochan Hwang, Chan-Young Ock, Soohyun Hwang, Joud Hajjar, Seungeun Lee, Jianling Zhou, Serdar A Gurses, Mohamed A Gouda, Kathryn E McGonagle, Anas Alshawa, Lilibeth Castillo, Abdulrazzak Zarifa, Siqing Fu, Sarina A Piha-Paul, Apostolia M Tsimberidou, Funda Meric-Bernstam, Luisa Maren Solis Soto, Maria Gabriela Raso, Siraj Ali, Aung Naing |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 40925 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |