Integrated genomic and transcriptomic profiling of driver–pathway relationships in colorectal cancer.

A Amish Vora (Hope Oncology Clinic, Delhi, India) S Sewanti Atul Limaye (Medical & Precision Oncology, Clinical and Translational Oncology Research, Sir HN Reliance Foundation, Mumbai, India) P Pritam Kataria (Sir H. N. Reliance Foundation Hospital and Research Centre, Mumbai, India) M Muzammil Shaikh (Nanavati Max Super Speciality Hospital, Mumbai, India) P Priya Tiwari (Artemis Hospitals, Delhi, India) A Aditya V. Shreenivas (City of Hope National Medical Center, Duarte, CA) A Amit Dilip Bhatt (Avinash Cancer Clinic, Pune, India) A Amarendra Amar (Jayprabha Medanta Superspeciality Hospital, Patna, India) D Darshana Suresh Patil (Datar Cancer Genetics, Nashik, India) S Sachin Apurwa (Datar Cancer Genetics, Nashik, India) V Vinayak Rao (Datar Cancer Genetics, Nashik, India) R Rajan Datar (Datar Cancer Genetics, Nashik, India) A Anantbhushan Ranade (Avinash Cancer Clinic, Pune, India) D Darshit Kalpeshkumar Shah (Sir H. N. Reliance Foundation Hospital and Research Centre, Mumbai, India) A Allwin George (AKG Memorial Cooperative Hospital, Kannur, India) A Ankur Nandan Varshney (Medanta, The Medicity, Noida, India) N Nitesh Rohatgi (Fortis Memorial Research Institute Gurugram, Gurugram, India)

Abstract

e15723 Background: Relationships between DNA driver alterations and downstream transcriptional pathway activation in colorectal cancer (CRC) are not well defined in routine specimens. We assessed driver–pathway concordance using paired DNA and transcriptome profiling. Methods: Tumors from 192 CRC patients (male = 85; female = 107) were profiled by a 517-gene DNA panel and AmpliSeq tissue transcriptome. Pathogenic/likely pathogenic SNV/indels defined driver status. A priori driver–pathway associations based on established CRC biology ( APC →WNT/β-catenin; RAS/RAF→MAPK; PIK3CA →PI3K/AKT/mTOR; SMAD4 →TGF-β/EMT) were evaluated. Pathway activity scores were computed as the average log 2 fold-change of curated pathway marker genes (scores calculated when ≥4 marker genes were available). Mutant vs wild-type groups were compared using Mann–Whitney; Δmedian with bootstrap 95% CI; BH-FDR across a priori tests. Multivariable linear regression adjusted for age, sex, and AJCC stage. Results: Median age was 55 years (IQR 44–63). AJCC stage was IV in 122/192 (63.5%) and unknown in 58/192 (30.2%); adenocarcinoma comprised 166/192 (86.5%). Frequent drivers were TP53 152/192 (79.2%), APC 109/192 (56.8%), KRAS 102/192 (53.1%), BRAF 20/192 (10.4%), PIK3CA 28/192 (14.6%), and SMAD4 30/192 (15.6%); RAS/RAF alterations occurred in 128/192 (66.7%). APC -mutant tumors showed higher WNT/β-catenin activation (evaluable n = 139; Δmedian +0.66, 95% CI +0.15 to +1.40; p = 0.0059; FDR = 0.029), remaining significant after adjustment (β = +0.74, 95% CI +0.04 to +1.44; p = 0.039). SMAD4 -mutant tumors showed lower TGF-β signaling (evaluable n = 159; Δmedian −0.87, 95% CI −1.94 to −0.30; p = 0.0116; FDR = 0.029), also significant after adjustment (β = −1.10, 95% CI −2.12 to −0.08; p = 0.036). RAS/RAF→MAPK and PIK3CA →PI3K/AKT/mTOR were not significant (FDR > 0.05). Conclusions: In routine CRC specimens, paired genomic and transcriptomic profiling demonstrated biologically coherent driver–pathway concordance for APC /WNT activation and SMAD4 /TGF-β signaling. Integrated multi-omics provides pathway-contextual interpretation alongside DNA comprehensive genomic profiling and may support molecular stratification in translational CRC studies.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (17)

A

Amish Vora

Hope Oncology Clinic, Delhi, India

S

Sewanti Atul Limaye

Medical & Precision Oncology, Clinical and Translational Oncology Research, Sir HN Reliance Foundation, Mumbai, India

P

Pritam Kataria

Sir H. N. Reliance Foundation Hospital and Research Centre, Mumbai, India

M

Muzammil Shaikh

Nanavati Max Super Speciality Hospital, Mumbai, India

P

Priya Tiwari

Artemis Hospitals, Delhi, India

A

Aditya V. Shreenivas

City of Hope National Medical Center, Duarte, CA

A

Amit Dilip Bhatt

Avinash Cancer Clinic, Pune, India

A

Amarendra Amar

Jayprabha Medanta Superspeciality Hospital, Patna, India

D

Darshana Suresh Patil

Datar Cancer Genetics, Nashik, India

S

Sachin Apurwa

Datar Cancer Genetics, Nashik, India

V

Vinayak Rao

Datar Cancer Genetics, Nashik, India

R

Rajan Datar

Datar Cancer Genetics, Nashik, India

A

Anantbhushan Ranade

Avinash Cancer Clinic, Pune, India

D

Darshit Kalpeshkumar Shah

Sir H. N. Reliance Foundation Hospital and Research Centre, Mumbai, India

A

Allwin George

AKG Memorial Cooperative Hospital, Kannur, India

A

Ankur Nandan Varshney

Medanta, The Medicity, Noida, India

N

Nitesh Rohatgi

Fortis Memorial Research Institute Gurugram, Gurugram, India