Molecular characteristics and outcomes of a real-world cohort of carcinoma of unknown primary determined by tissue-of-origin assays.

N Nisha Ramamurthy (Princess Margaret Cancer Centre, University Health Network) H Hansa Doppalapudi (George Washington University School of Medicine and Health Sciences, Washington, DC) S Seyon Chung (George Washington University, Washington, DC) K Karan Jatwani (7George Washington University School of Medicine, Washington DC, United States) P Prashanth Ashok Kumar (1SUNY Upstate Medical University, Syracuse, United States) V Victoria Atchison (George Washington University Hospital, Washington, DC) S Sunil Adige (George Washington University, Washington, DC) S Sonal Paul (George Washington University School of Medicine and Health Sciences, Washington, DC) P Pavani Chalasani

Abstract

3076 Background: Carcinoma of unknown primary (CUP) increasingly intersects with precision oncology as molecular profiling becomes integrated into diagnostic algorithms. However, published CUP cohorts and guideline-based series remain anchored to clinical and pathologic criteria and do not characterize patients whose tissue-of-origin (TOO) predictions remain low probability despite comprehensive molecular analysis. This population—where molecular data fail to resolve lineage—is poorly described. We evaluated clinical, molecular, and outcome features of CUP defined as < 90% probability for all predicted lineages. Methods: A retrospective chart review of TOO tests ordered at a single academic center between 2021-2025 was conducted. Demographics, pathology, molecular features including Tumor Mutational Burden (TMB), mutational profiles, predicted lineages, and treatments were abstracted from the TOO report and electronic health record. Survival status was assessed as of 12/31/2025. Results: Among 132 patients evaluated for CUP, 50 met the study definition (TOO probability <90% for a single lineage). Median age was 66 years, 56% were female and 76% were Black. Predicted lineages spanned gastrointestinal, pancreaticobiliary, lung, breast, melanoma, and genitourinary tissues, reflecting heterogeneity and lack of dominant lineage signal. Many tumors demonstrated overlapping immunophenotypes consistent with molecular ambiguity. High TMB (≥10 mut/Mb) was reported in 16% with PD-L1 positive in 4%, limiting eligibility for tissue-agnostic immunotherapy. Most patients received empiric systemic therapy rather than site-directed or molecularly targeted regimens. Targetable alterations reported included BRAF, KRAS, HER2, ATM, CHEK2, and PIK3CA. TOO primary site predictions were in concordance with final pathology in only 22 cases (44%). At last follow-up, 29 patients (57%) were deceased. Conclusions: This study characterizes a precision-oncology–relevant subset of CUP in which molecular classifiers fail to assign high-confidence lineage, a population not represented in prior CUP publications. Tumors in this cohort showed broad predicted lineages across multiple organ systems with low rates of high TMB, reflecting substantial molecular heterogeneity. Many displayed nondistinct histology with overlapping immunophenotypes, consistent with diagnostic ambiguity. Concordance between predicted TOO and final pathology was limited, underscoring the challenges of relying solely on molecular classifiers. Actionable targets and markers for immunotherapy were infrequent, and most patients received empiric chemotherapy. Outcomes were poor, underscoring the unmet need for improved integrative molecular approaches and novel precision-oncology strategies in CUP subsets that remain unresolved despite comprehensive molecular assessment.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 3076-3076
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (9)

N

Nisha Ramamurthy

Princess Margaret Cancer Centre, University Health Network

H

Hansa Doppalapudi

George Washington University School of Medicine and Health Sciences, Washington, DC

S

Seyon Chung

George Washington University, Washington, DC

K

Karan Jatwani

7George Washington University School of Medicine, Washington DC, United States

P

Prashanth Ashok Kumar

1SUNY Upstate Medical University, Syracuse, United States

V

Victoria Atchison

George Washington University Hospital, Washington, DC

S

Sunil Adige

George Washington University, Washington, DC

S

Sonal Paul

George Washington University School of Medicine and Health Sciences, Washington, DC

P

Pavani Chalasani