# Actionable genomic landscape of biliary tract cancer in the Indian population

**Authors:** Sewanti Limaye, Aditya Shreenivas, Darshana Patil, Soumil Vyas, Irene A George, Janani Sambath, Shambhavi Singh, Chetan Madre, Anjali Parab, Pritam Kataria, Darshit Shah, Niyati Shah, Shaheenah Dawood, Nitesh Rohatgi, Ruturaj Deshpande, Aakriti Datta, Humaid Al Shamsi, Andrew Gaya, Ashok Kumar Vaid, Shriniwas Kulkarni, Senthil Rajappa, Damian Rieke, Prashant Kumar, Rajan Datar, Milind Javle

PMC · DOI: 10.1093/oncolo/oyaf430 · The Oncologist · 2026-01-10

## TL;DR

This study maps the genomic profile of biliary tract cancers in India, identifying key mutations and differences between cancer subtypes.

## Contribution

The study provides the first comprehensive genomic analysis of biliary tract cancers in the Indian population, revealing subtype-specific mutations and immune-related alterations.

## Key findings

- TP53 was the most frequently mutated gene (53%), followed by KRAS (18%) and ARID1A (9%).
- IDH1 mutations were primarily found in cholangiocarcinoma, while STK11 mutations were exclusive to gallbladder cancer.
- SMAD4 mutations in PD-L1-negative tumors suggest a link to immune evasion and reduced immune response.

## Abstract

Biliary tract cancers (BTCs), including gallbladder cancer (GBC) and cholangiocarcinoma (CCA), are rare but aggressive malignancies with distinct molecular landscapes and poor prognoses. Genomic profiling has revealed significant molecular alterations, but the genomic landscape of BTC in the Indian population remains underexplored. This study aims to comprehensively characterize the mutation landscape of BTC in the Indian population.

A total of 154 BTC cases, including 69 CCA and 85 GBC, were retrospectively analyzed using data collected from various targeted sequencing panels. Somatic mutations, copy number variations (CNVs), and gene fusions in key oncogenic and tumor suppressor genes were identified from these panel reports. Downstream analyses were performed to derive key biological insights, including pathway enrichment and mutual exclusivity and co-occurrence analyses of genomic alterations.

TP53 was the most frequently mutated gene (53%), followed by KRAS (18%), ARID1A (9%), IDH1 (7%), and PIK3CA (7%). Recurrent amplifications were observed in MYC (12%) and ERBB2 (9%). Pathway enrichment analysis revealed significant dysregulation in the PI3K-AKT-mTOR, Notch, and Wnt/β-catenin signaling pathways. Notably, IDH1 mutations were primarily observed in CCA, while STK11 mutations were exclusive to GBC, highlighting distinct molecular characteristics between the two subtypes. PD-L1-negative tumors exhibited distinct genomic alterations, notably SMAD4 mutations, which were associated with reduced PD-L1 expression. This loss of SMAD4, involved in TGF-β signaling, could impair immune response regulation and facilitate immune evasion.

This study provides a comprehensive molecular profiling of BTCs in the Indian population, revealing key genomic alterations, subtype-specific differences, and associations with immune features. The findings underscore the importance of molecular profiling in guiding personalized treatment strategies.

## Linked entities

- **Genes:** TP53 (tumor protein p53) [NCBI Gene 7157], KRAS (KRAS proto-oncogene, GTPase) [NCBI Gene 3845], ARID1A (AT-rich interaction domain 1A) [NCBI Gene 8289], IDH1 (isocitrate dehydrogenase (NADP(+)) 1) [NCBI Gene 3417], PIK3CA (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha) [NCBI Gene 5290], MYC (MYC proto-oncogene, bHLH transcription factor) [NCBI Gene 4609], ERBB2 (erb-b2 receptor tyrosine kinase 2) [NCBI Gene 2064], STK11 (serine/threonine kinase 11) [NCBI Gene 6794], SMAD4 (SMAD family member 4) [NCBI Gene 4089]
- **Diseases:** gallbladder cancer (MONDO:0003220), cholangiocarcinoma (MONDO:0019087)

## Full-text entities

- **Genes:** SMAD4 (SMAD family member 4) [NCBI Gene 4089] {aka DPC4, JIP, MADH4, MYHRS}, PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}, TP53 (tumor protein p53) [NCBI Gene 7157] {aka BCC7, BMFS5, LFS1, P53, TRP53}, MTOR (mechanistic target of rapamycin kinase) [NCBI Gene 2475] {aka FRAP, FRAP1, FRAP2, RAFT1, RAPT1, SKS}, KRAS (KRAS proto-oncogene, GTPase) [NCBI Gene 3845] {aka 'C-K-RAS, C-K-RAS, CFC2, K-RAS2A, K-RAS2B, K-RAS4A}, IDH1 (isocitrate dehydrogenase (NADP(+)) 1) [NCBI Gene 3417] {aka HEL-216, HEL-S-26, IDCD, IDH, IDP, IDPC}, CTNNB1 (catenin beta 1) [NCBI Gene 1499] {aka CTNNB, EVR7, MRD19, NEDSDV, armadillo}, ERBB2 (erb-b2 receptor tyrosine kinase 2) [NCBI Gene 2064] {aka CD340, HER-2, HER-2/neu, HER2, MLN 19, MLN-19}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, STK11 (serine/threonine kinase 11) [NCBI Gene 6794] {aka LKB1, PJS, hLKB1}, ARID1A (AT-rich interaction domain 1A) [NCBI Gene 8289] {aka B120, BAF250, BAF250a, BM029, C1orf4, CSS2}, CD274 (CD274 molecule) [NCBI Gene 29126] {aka ADMIO5, B7-H, B7H1, PD-L1, PDCD1L1, PDCD1LG1}, PIK3CA (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha) [NCBI Gene 5290] {aka CCM4, CLAPO, CLOVE, CWS5, HMH, MCAP}, MYC (MYC proto-oncogene, bHLH transcription factor) [NCBI Gene 4609] {aka MRTL, MYCC, bHLHe39, c-Myc}
- **Diseases:** GBC (MESH:D005706), CCA (MESH:D018281), malignancies (MESH:D009369), BTCs (MESH:D001661)

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12923113/full.md

## References

40 references — full list in the complete paper: https://tomesphere.com/paper/PMC12923113/full.md

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Source: https://tomesphere.com/paper/PMC12923113