Molecular profiling of body fluid cfDNA: Advancing diagnostics and therapeutic decisions.

A Aditya V. Shreenivas (City of Hope National Medical Center, Duarte, CA) M Massimo Cristofanilli (Weill-Cornell Medicine, New York–Presbyterian Hospital, New York) S Sewanti Atul Limaye (Medical & Precision Oncology, Clinical and Translational Oncology Research, Sir HN Reliance Foundation, Mumbai, India) A Andrew M. Gaya (Cromwell Hospital, London, United Kingdom) T Tim Crook (Cromwell Hospital, London, United Kingdom) R Ramin Ajami K Kefah Mokbel (London Breast Institute, London, United Kingdom) D Dorthe Schaffrin-Nabe (Praxis Für Hämatologie und Onkologie, Bochum, Germany) H Humaid Obaid Al-Shamsi (Burjeel Cancer Institute, Abu Dhabi, United Arab Emirates) T Tanmoy Kumar Mandal (AMRI Hospital, Kolkata, India) S Shivam Shingla (S.L. Raheja, Mumbai, India) A Alvydas Česas (Klaipeda University Hospital, Lithuania, India) S Stefan Schuster (Datar Cancer Genetics Europe GmbH, Bayreuth, Germany) D Dadasaheb Akolkar (Datar Cancer Genetics, Nashik, India) D Darshana Patil (Datar Cancer Genetics, Nashik, India) R Rajan Datar (Datar Cancer Genetics, Nashik, India) R Razelle Kurzrock (Division of Hematology and Medical Oncology Medical College of Wisconsin Cancer Center Milwaukee Wisconsin USA)

Abstract

3054 Background: Effusions in cancer patients pose several critical challenges for clinicians. In known cancer patients, an effusion may signal recurrence, whereas in newly diagnosed, seemingly localized cases, it indicates a more advanced stage. In many patients the effusion may be secondary to complications of treatment or comorbidities, rather than malignant. Diagnosing malignant involvement of body fluids remains a challenge due to the limitations of conventional cytology. This study explores the potential of molecular profiling of body fluids to identify actionable molecular alterations and its role in diagnosing malignant effusions. Methods: We analyzed cfDNA from body fluids—ascitic fluid (N=26), cerebrospinal fluid (N=7), pleural fluid (N=11), and pericardial fluid (N=1), collected from 45 patients with solid tumors, including lung (N=12), breast (N=9), ovarian (N=9), pancreas (N=4), gastrointestinal cancers (N=4), cervix (N=2), and one each of CNS, endometrial cancer, HCC, liposarcoma, and melanoma. In a subset, results from fluid samples were compared with tissue and plasma samples to assess concordance across different sample types. Results: Pathogenic alterations were identified in 89% (40/45) of fluid samples. The most frequently mutated genes were TP53 (53%), EGFR (20%), KRAS (18%), PIK3CA (9%), CTNNB1 (7%), FGFR3 (7%), GNAS (7%), MYC (7%), and ESR1 (4%). Simultaneous analysis of body fluid and tissue samples (n=11) revealed that 7 patients (64%) had at least one concordant pathogenic alteration. Similarly, analysis of body fluid and plasma samples (n=16) showed that 8 patients (50%) had at least one concordant pathogenic alteration. Body fluid analysis identified acquired resistance alterations, such as EGFR T790M and ALK C1156Y , which influenced therapy decisions. Among the alterations detected exclusively in fluid samples were ERBB2 amplification and ESR1 D538G mutation in two breast cancer patients. In evaluating molecular profiling against cytology for detecting malignant effusions, 17 of 25 samples were positive by both methods, while 4 of 5 cytology-negative samples were ctDNA-positive. Notably, 3 of 4 ctDNA-negative cases were cytology-positive. These results emphasize the potential role of molecular profiling for diagnosis when cytology is inconclusive. Conclusions: This study highlights the importance of body fluid ctDNA profiling (ascites, pleural, pericardial, CSF) in identifying actionable mutations, including unique druggable alterations not found tissue or liquid biopsies. The ability to detect ctDNA in cytology-negative samples underscores the potential of body fluid ctDNA as a valuable complement to fluid cytology for diagnosing malignant involvement. ESCAT classification of pathogenic variants identified in body fluids from 45 patients. Tier Level Incidence (%) Number of unique patients IA 28.9% 13 IIA 0% 0 IIIA 35.6% 16 IIIB 4.4% 2 IVA 55.6% 25 IVB 2.2% 1 X 22.2% 10

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
Pages 3054-3054
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (17)

A

Aditya V. Shreenivas

City of Hope National Medical Center, Duarte, CA

M

Massimo Cristofanilli

Weill-Cornell Medicine, New York–Presbyterian Hospital, New York

S

Sewanti Atul Limaye

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

A

Andrew M. Gaya

Cromwell Hospital, London, United Kingdom

T

Tim Crook

Cromwell Hospital, London, United Kingdom

R

Ramin Ajami

K

Kefah Mokbel

London Breast Institute, London, United Kingdom

D

Dorthe Schaffrin-Nabe

Praxis Für Hämatologie und Onkologie, Bochum, Germany

H

Humaid Obaid Al-Shamsi

Burjeel Cancer Institute, Abu Dhabi, United Arab Emirates

T

Tanmoy Kumar Mandal

AMRI Hospital, Kolkata, India

S

Shivam Shingla

S.L. Raheja, Mumbai, India

A

Alvydas Česas

Klaipeda University Hospital, Lithuania, India

S

Stefan Schuster

Datar Cancer Genetics Europe GmbH, Bayreuth, Germany

D

Dadasaheb Akolkar

Datar Cancer Genetics, Nashik, India

D

Darshana Patil

Datar Cancer Genetics, Nashik, India

R

Rajan Datar

Datar Cancer Genetics, Nashik, India

R

Razelle Kurzrock

Division of Hematology and Medical Oncology Medical College of Wisconsin Cancer Center Milwaukee Wisconsin USA