Abstract 371P
Background
Head and Neck Squamous Cell Carcinomas (HNSCC) account for 4.5% of global cancer incidences and mortality respectively. In India however, HNSCC accounts for 17% of cancer related incidences and 15% of cancer related mortality. Standard of Care (SoC) systemic treatment approaches for HNSCC are based on randomized clinical trials which do not sufficiently consider patient specific features of the tumor. We evaluated the efficacy of personalized treatment in a cohort (n = 31) of advanced refractory HNSCC, where patient-specific treatment regimens were based on Encyclopedic Tumor Analysis (ETA).
Methods
Freshly biopsied tumor tissue and peripheral blood of patients were used for integrational multi-analyte investigations as part of ETA, which included gene alterations and gene expression, as well as in vitro chemosensitivity and response profiling (CRR) of viable tumor cells. Patients received individualized therapy recommendations based on ETA. All patients underwent whole body PET-CT and brain MRI scans prior to start of treatment, and follow-up scans every 6-8 weeks. Treatment response was evaluated as per RECIST 1.1 criteria.
Results
Among the 31 patients who received personalized treatment guided by ETA, partial response (PR) was observed in 14 patients and Stable Disease (SD) in 16 patients yielding an Objective Response Rate (ORR) of 45.2% and Clinical Benefit Rate of (CBR) 96.8%, respectively. Patients were followed up for a median of 146 days (Range 42 – 368). At most recent follow-up 1 patient showed disease progression, whereas Progression Free Survival was observed in 30 patients. Median Progression-Free Survival was 146 days. No grade IV adverse events were observed. There were no treatment related deaths. Most common Grade III adverse events included Fatigue, Anorexia, Thrombocytopenia, Neutropenia and Oral Mucositis. Most patients reported qualitative improvements in symptomatic and functional status.
Conclusions
ETA guided treatments can offer viable treatment options in advanced refractory HNSCC yielding meaningful ORR and disease control in majority of patients.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The Authors.
Funding
Datar Cancer Genetics Limited.
Disclosure
R. Nagarkar: Advisory / Consultancy: Datar Cancer Genetics Limited. D. Patil: Full / Part-time employment: Datar Cancer Genetics Limited. V. Palwe: Non-remunerated activity/ies: Datar Cancer Genetics Limited. V. Datta: Full / Part-time employment: Datar Cancer Genetics Limited. A. Ghaisas: Full / Part-time employment: Datar Cancer Genetics Limited. N. Srivastava: Full / Part-time employment: Datar Cancer Genetics Limited. A. Srinivasan: Full / Part-time employment: Datar Cancer Genetics Limited. D. Akolkar: Full / Part-time employment: Datar Cancer Genetics Limited. R. Datar: Leadership role, Shareholder / Stockholder / Stock options, Licensing / Royalties: Datar Cancer Genetics Limited.
Resources from the same session
381P - XKR8 is a promising potential prognostic marker in glioblastoma multiforme patients
Presenter: Kristina Havrysh
Session: Poster display session
Resources:
Abstract
383P - Screening of prognostic molecular biomarker for resectable pancreatic cancer
Presenter: Yonggang Peng
Session: Poster display session
Resources:
Abstract
384P - Prevalence of abnormal microsatellite instability test among ovary and endometrial cancer patients
Presenter: Min Kyu Kim
Session: Poster display session
Resources:
Abstract
385P - Identifying CASP8 polymorphisms associated with breast cancer risk in an Iranian population
Presenter: Alireza Pasdar
Session: Poster display session
Resources:
Abstract
386P - Unusual folding of NaPi2b transporter extramembrane domain 4 during malignant transformation
Presenter: Leysan Minigulova
Session: Poster display session
Resources:
Abstract
387P - 5-years conditional disease free survival and overall survival for breast cancer patients in South Korea
Presenter: Jee hyun Ahn
Session: Poster display session
Resources:
Abstract
388P - To identify circulating tumour cells by machine learning approach
Presenter: Yuebin Liang
Session: Poster display session
Resources:
Abstract
389P - The establishment of patient-derived organoid models and drug response of resectable non-small cell lung cancer
Presenter: Jing-Hua Chen
Session: Poster display session
Resources:
Abstract
395P - Filipinos and lung cancer: An infodemiological assessment using Google trends from 2009 to 2019
Presenter: Lance Isidore Catedral
Session: Poster display session
Resources:
Abstract
396P - Determinants of visiting a referral hospital for cervical cancer screening at Uganda Cancer Institute
Presenter: Collins Mpamani
Session: Poster display session
Resources:
Abstract