Molecular Differences With Therapeutic Implications in Early-Onset Compared With Average-Onset Biliary Tract Cancers

Author:

Jayakrishnan Thejus12ORCID,Baca Yasmine3,Xiu Joanne3,Patel Mehrie1,Weinberg Benjamin A.4ORCID,Lou Emil5ORCID,Datta Jashodeep6ORCID,Khushman Moh'd7ORCID,Gulhati Pat8,Goel Sanjay8ORCID,Biachi de Castria Tiago910ORCID,Florou Vaia11ORCID,Nair Kanika G.112,Kamath Suneel D.112ORCID,Khorana Alok A.112ORCID

Affiliation:

1. Department of Hematology-Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH

2. Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA

3. Caris Life Sciences, Phoenix, AZ

4. Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC

5. Masonic Cancer Center, University of Minnesota, Minneapolis, MN

6. University of Miami—Sylvester Comprehensive Cancer Center, Miami, FL

7. Siteman Cancer Center, Washington University in St Louis, St Louis, MO

8. Department of Medical Oncology, Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ

9. Moffitt Cancer Center, Tampa, FL

10. Morsani College of Medicine, University of South Florida, Tampa, FL

11. Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT

12. Case Comprehensive Cancer Center, Cleveland, OH

Abstract

PURPOSE Early-onset biliary tract cancer (eoBTC) is among the fast-growing subset of early-onset cancers, yet little is known about its biology. We sought to identify novel molecular characteristics of eoBTC in relation to average-onset BTC (aoBTC) using a real-world multiomics data set. METHODS The study comprised patients with BTC whose tumors underwent molecular analyses at Caris Life Sciences and were categorized by age (<50 years for eoBTC, ≥50 years for aoBTC). P values were adjusted for multiple testing and considered significant at Q < 0.05 (molecular comparisons) or Q < 0.25 (Gene Set Enrichment Analysis [GSEA]). Insurance claims data were used for survival analysis. RESULTS The study included 5,587 patients with BTC (453 eoBTC, median age = 44 years and 5,134 aoBTC, median age = 68 years). FGFR2 fusion (15.7% in eoBTC v 5.9% in aoBTC) and NIPBL fusion (1.1% v 0%) were significantly more prevalent in eoBTC (both Q < 0.001). The interferon gamma-IFG score (fold change [FC], 1.1; Q = 0.01) and T-cell inflammation score (FC, 17.3; Q = 0.03) were significantly higher in aoBTC. On GSEA, angiogenesis was enriched in eoBTC (normalized enrichment score [NES] = 1.51; Q = 0.16), whereas IFG (NES = –1.58; Q = 0.06) and inflammatory response (NES = –1.46; Q = 0.18) were enriched in aoBTC. The median overall survival (OS) was 16.5 (eoBTC) versus 13.3 months (aoBTC), hazard ratio = 0.86, P = .004. The median OS by FGFR2 fusion (with fusion v without) was 21.7 versus 15.0 months ( P = .47) for eoBTC and 18.6 versus 12.2 months ( P < .001) for aoBTC. CONCLUSION We identified crucial differences including higher prevalence of FGFR2 fusions in eoBTC and variations in immunotherapy-related markers. Better outcomes in eoBTC were affected by the FGFR2 fusion status. Our findings underscore the need for ensuring access to next-generation sequencing testing, including prompt identification of actionable targets.

Publisher

American Society of Clinical Oncology (ASCO)

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