Evidence map›Paper›PMID 39026794›Full record

ArticlebioRxiv : the preprint server for biology2024

Generation of a biliary tract cancer cell line atlas reveals molecular subtypes and therapeutic targets.

Vindhya Vijay, Negin Karisani, Lei Shi, Yu-Han Hung, Phuong Vu, Prabhat Kattel, Lauren Kenney, Joshua Merritt, Ramzi Adil, Qibiao Wu and 29 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

39 authors.

Vindhya Vijay
Negin Karisani
Lei Shi
Yu-Han Hung
Phuong Vu
Prabhat Kattel
Lauren Kenney
Joshua Merritt
Ramzi Adil
Qibiao Wu
Yuanli Zhen
Robert Morris
Johannes Kreuzer
Meena Kathiresan
Xcanda Ixchel Herrera Lopez
Haley Ellis
Ilaria Gritti
Lilian Lecorgne
Ines Farag
Alexandra Popa
William Shen
Hiroyuki Kato
Qin Xu
Eranga R Balasooriya
Meng-Ju Wu
Saireudee Chaturantabut
Robin K Kelley
James M Cleary
Michael S Lawrence
David Root
Cyril H Benes
Vikram Deshpande
Dejan Juric
William R Sellers
Cristina R Ferrone
Wilhelm Haas
Francisca Vazquez
Gad Getz
Nabeel Bardeesy

Funding

Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
Targeting novel therapeutic vulnerabilities in LKB1 mutant tumors.R01CA219670 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI EL-BARDEESY, NABEEL, WONG, KWOK KIN · 2018 to 2022
$3.4M
Functions of the LKB1 tumor suppressor in control in metabolism and epigenticsR01CA215498 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI EL-BARDEESY, NABEEL · 2018 to 2022
$2.7M
Functions of mutant IDH in cholangiocarcinomaR01CA280085 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI NABEEL El-BARDEESY · 2023 to 2026
$2.6M
NCI NIH HHS P50 CA127003NCI NIH HHS R01 CA215498NCI NIH HHS R01 CA219670NCI NIH HHS R01 CA280085
6 · The paper itself

Abstract

Biliary tract cancers (BTCs) are a group of deadly malignancies encompassing intrahepatic and extrahepatic cholangiocarcinoma, gallbladder carcinoma, and ampullary carcinoma. Here, we present the integrative analysis of 63 BTC cell lines via multi-omics clustering and genome- scale CRISPR screens, providing a platform to illuminate BTC biology and inform therapeutic development. We identify dependencies broadly enriched in BTC compared to other cancers as well as dependencies selective to the anatomic subtypes. Notably, cholangiocarcinoma cell lines are stratified into distinct lineage subtypes based on biliary or dual biliary/hepatocyte marker signatures, associated with dependency on specific lineage survival factors. Transcriptional analysis of patient specimens demonstrates the prognostic significance of these lineage subtypes. Additionally, we delineate strategies to enhance targeted therapies or to overcome resistance in cell lines with key driver gene mutations. Furthermore, clustering based on dependencies and proteomics data elucidates unexpected functional relationships, including a BTC subgroup with partial squamous differentiation. Thus, this cell line atlas reveals potential therapeutic targets in molecularly defined BTCs, unveils biologically distinct disease subtypes, and offers a vital resource for BTC research.

Identifiers

PMID39026794
PMCPMC11257448

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.