Pancreatic Cancer Organoids Recapitulate Chemotherapy Response and Identify a Potent Cytotoxic T-Cell Population

We confirm the feasibility of generating PDOs within a clinically relevant time frame and provide evidence of their utility for advancing therapeutic success in PDAC.

Authors

Institutions

Publication Details

Journal
Clinical Cancer Research
Published
2025-12-04
DOI
https://doi.org/10.1158/1078-0432.ccr-25-1110
Primary Topic
CAR-T cell therapy research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pancreatic Cancer Organoids Recapitulate Chemotherapy Response and Identify a Potent Cytotoxic T-Cell Population

Renee R. Anderko, Asmita Chopra, Pranav Murthy, Aatur Dilip Singhi et al.
Clinical Cancer Research
CAR-T cell therapy research
article

Pancreatic Cancer Organoids Recapitulate Chemotherapy Response and Identify a Potent Cytotoxic T-Cell Population

Renee R. Anderko, Asmita Chopra, Pranav Murthy, Aatur Dilip Singhi, Michael T. Lotze, Robbie B. Mailliard, Alessandro Paniccia, Amer H. Zureikat, Siele Ceuppens, Alexandra E Bowman, Nikhil V Tirukkovalur, Kenneth K. Lee, P. Bala Krishna Murthy
article en

Abstract

We confirm the feasibility of generating PDOs within a clinically relevant time frame and provide evidence of their utility for advancing therapeutic success in PDAC.

Clinical Cancer ResearchVol. 32(3)
University of Pittsburgh (US), UPMC Hillman Cancer Center (US), University of Pittsburgh Medical Center (US)
Openalex Percentile: Top 46%
CAR-T cell therapy research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.