Evidence map›Paper›PMID 41642545›Full record

ArticleDigestive diseases and sciences2026

An Annotated Living Organoid Biobank for Studying Gallbladder Diseases and Drug Responses.

Ankita Dutta, Nandita Chowdhury, Akshaya Vijayan Selvarajan, Payel Guha, Pritha Banerjee, Abhirupa Kar, Uma Sunderam, Debdutta Ganguli, Trina Dutta, Dipjit Basak and 12 more

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In one paragraph

Article in Digestive diseases and sciences, 2026. 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. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Ankita Dutta *SOLi3D Laboratory, Tata Translational Cancer Research Centre, Tata Medical Center, New Town, 14 MAR (E-W), Kolkata, 700160, India.
Nandita Chowdhury *SOLi3D Laboratory, Tata Translational Cancer Research Centre, Tata Medical Center, New Town, 14 MAR (E-W), Kolkata, 700160, India.
Akshaya Vijayan SelvarajanTCS Research, Tata Consultancy Services, Hyderabad, India.
Payel GuhaSOLi3D Laboratory, Tata Translational Cancer Research Centre, Tata Medical Center, New Town, 14 MAR (E-W), Kolkata, 700160, India.
Pritha BanerjeeSOLi3D Laboratory, Tata Translational Cancer Research Centre, Tata Medical Center, New Town, 14 MAR (E-W), Kolkata, 700160, India.
Abhirupa KarSOLi3D Laboratory, Tata Translational Cancer Research Centre, Tata Medical Center, New Town, 14 MAR (E-W), Kolkata, 700160, India.
Uma SunderamTCS Research, Tata Consultancy Services, Hyderabad, India.
Debdutta GanguliSOLi3D Laboratory, Tata Translational Cancer Research Centre, Tata Medical Center, New Town, 14 MAR (E-W), Kolkata, 700160, India.
Trina DuttaSOLi3D Laboratory, Tata Translational Cancer Research Centre, Tata Medical Center, New Town, 14 MAR (E-W), Kolkata, 700160, India.
Dipjit BasakSOLi3D Laboratory, Tata Translational Cancer Research Centre, Tata Medical Center, New Town, 14 MAR (E-W), Kolkata, 700160, India.
Smrithi Jayashree SatheeshkumarSOLi3D Laboratory, Tata Translational Cancer Research Centre, Tata Medical Center, New Town, 14 MAR (E-W), Kolkata, 700160, India.
Shinjini ChandraSOLi3D Laboratory, Tata Translational Cancer Research Centre, Tata Medical Center, New Town, 14 MAR (E-W), Kolkata, 700160, India.
Anand Sagar RagateDepartment of Gastrointestinal and Hepatobiliary Surgery, Tata Medical Center, Kolkata, India.
Shekhar KrishnanSOLi3D Laboratory, Tata Translational Cancer Research Centre, Tata Medical Center, New Town, 14 MAR (E-W), Kolkata, 700160, India.
Saugata SenDepartment of Radiology, Tata Medical Center, Kolkata, India.
Manas Kumar RoyDepartment of Gastrointestinal and Hepatobiliary Surgery, Tata Medical Center, Kolkata, India.
Sudeep BanerjeeDepartment of Gastrointestinal and Hepatobiliary Surgery, Tata Medical Center, Kolkata, India.
Rajgopal SrinivasanTCS Research, Tata Consultancy Services, Hyderabad, India.
Paromita RoyDepartment of Pathology, Tata Medical Center, Kolkata, India.
Vaskar SahaSOLi3D Laboratory, Tata Translational Cancer Research Centre, Tata Medical Center, New Town, 14 MAR (E-W), Kolkata, 700160, India. v.saha@manchester.ac.uk.
Anindita DuttaSOLi3D Laboratory, Tata Translational Cancer Research Centre, Tata Medical Center, New Town, 14 MAR (E-W), Kolkata, 700160, India.
Dwijit GuhaSarkarSOLi3D Laboratory, Tata Translational Cancer Research Centre, Tata Medical Center, New Town, 14 MAR (E-W), Kolkata, 700160, India. dwijit.guhasarkar@ttcrc.tmckolkata.org.

Funding

Wellcome-DBT India Alliance Margdarshi Fellowship IA/M/12/500755
6 · The paper itself

Abstract

backgroundGallbladder cancer (GBC) while rare worldwide has a high prevalence in India. Pathogenesis is unclear and outcomes poor. No suitable models are available to study GBC pathogenesis and drug response. The aim of this study was to establish a biobank comprising patient derived organoids (PDOs) from a wide variety of gallbladder diseases including GBC and other rare pathologies.

methodsPDOs were developed from surgically resected gallbladders 15 normal; 58 inflamed; 12 xanthogranulomatous cholecystitis (XGC); 5 pre-invasive neoplasm (PIN); and 13 invasive malignant gallbladder pathologies. Marker expressions, functional activity, histological and gene expression analyses were performed to validate the models. Banked PDOs were retrieved and drug assays performed to assess line-specific responses.

resultsProtocol optimization achieved 58% (69/119) and 52% (10/19) success in organoid generation and expansion for all and invasive malignant pathologies, respectively-highest globally for GBC organoids reported to date. Organoids maintained tight junction integrity; P-gp pump and enzymatic activity; preserved tissue-specific gene and protein marker expression; histological features and genetic variations. Besides cryopreserved organoids from 62 patients, primary gallbladder tissue and high-quality DNA, RNA and protein derivatives have been banked. In gene expression analyses of tissue, XGC samples clustered with malignant subtypes, separate from benign pathologies. Derived XGC organoids showed a similar clustering. Enriched Hallmark pathways in XGC support neoplastic changes. Drug response assays demonstrate PDO line-specific response heterogeneity.

conclusionThe developed biobank of PDOs from different gallbladder pathologies provides a promising resource to study gallbladder diseases, investigate the pathogenesis of GBC and study drug responses.

Indexed as

Biological Specimen BanksGallbladderGallbladder DiseasesGallbladder NeoplasmsOrganoidsFemaleHumansDisease biologyDrug responseGallbladder cancerOrganoid biobankPatient derived organoids

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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.