Abstract 143P
Background
Salivary gland cancers (SGC) are rare malignancies, historically divided into adenoid cystic carcinoma (AdCC) and non-AdCC, with limited systemic therapies. These two groups have different molecular profiles. This study aims to develop a tailored histology-driven molecular profiling (MP) algorithm.
Methods
This retrospective observational study was conducted at the National Cancer Institute of Milan, (referral cancer centre with focus on SGC). SGC undergoing MP from 2016 to 2023 were enrolled. Based on ASCO guidelines, the SGC cases were classified as low aggression (LA) and high aggression (HA), with AdCC considered separately. DNA and RNA analysis used next-generation sequencing (NGS) panels (≤50 or 500 genes). HER2 and Androgen receptor (AR) status were evaluated only in non-AdCC cases. Immunohistochemistry (IHC) was used for HER2 and AR, and Fluorescence in Situ Hybridization (FISH) was used for HER2. HER2 positivity was defined as 3+ at IHC or 2+ at IHC with FISH-positive. AR status was positive if >70% of tumor cells showed nuclear immunoreactivity.
Results
Totally, 253 patients were enrolled (132 AdCC, 37 LA, 84 HA). MYB/MYBL1-NFIB fusions were found in 14/21 (47%) AdCC with no druggable alterations (DA) in the fusion-positive group. DA were detected in 28/126 (22%) AdCC. In LA, ETV6-NTRK3 fusion was found in 1/10 (10%) without associated DA. DA were detected in 16/34 (47%) LA. In HA 0/19 (0%), gene fusions were found. HA harbored DA in 46/83 (55%) cases. HER 2 status was explored in 77 non-AdCC cases, mainly HA. DA were found in 0/17 (0%) cases in the HER2 + group, while in 46/77 (67%) of the HER2-negative cohort (both regardless of the AR positivity).
Conclusions
In referral centres, for AdCC, a ≤50 genes DNA panel may be considered only for MYB/MYBL1 fusion-negative cases. For LA, in NTRK fusion-negative cases at NGS RNA, a 500 genes DNA panel can be proposed. Defining the HA algorithm through HER2 status, we suggest in HER2-positive tumors, to apply a 50 genes panel. In HER2-negative cases, regardless of AR status, a 500 genes DNA panel can be advantageous. Expanding knowledge within specific histological subtypes through molecular data and saving resources makes our algorithm a clinically meaningful approach.
Editorial acknowledgement
Clinical trial identification
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
S. Cavalieri: Financial Interests, Personal, Invited Speaker: Accademia Nazionale di Medicina; Financial Interests, Personal, Other, Travel expenses for invited speech at congress: MultiMed Engineers srl; Financial Interests, Personal, Other, Travel expenses for invited lecture at conference: Care Insight sas; Financial Interests, Institutional, Invited Speaker, PI of the BD4QoL randomized clinical trial (NCT05315570) conducted within the BD4QoL project, funded from the European Union’s Horizon 2020 research and innovation program under grant agreement No 875192: European Union; Non-Financial Interests, Personal, Member: AIOM, EORTC, AIOCC. G. Pruneri: Financial Interests, Personal, Invited Speaker: Roche, Lilly, Exact Sciences, Novartis; Financial Interests, Personal, Advisory Board: Exact Sciences, ADS Biotec; Financial Interests, Institutional, Invited Speaker: Illumina; Financial Interests, Institutional, Research Grant: Roche. L.F.L. Licitra: Financial Interests, Personal, Advisory Board, for expert opinion in advisory boards: AstraZeneca, Bayer, BMS, Eisai, MSD, Boehringer Ingelheim, Hoffmann-La Roche Ltd., Novartis, Roche, Debiopharm International SA, Sobi, Incyte Biosciences Italy srl, Doxa Pharma srl, Amgen, Nanobiotics, GSK, Alentis; Financial Interests, Institutional, Research Grant, Funds received by my institution for clinical studies and research activities in which I am involved: AstraZeneca, BMS, Boehringer Ingelheim, Celgene International, Eisai, Exelixis, Debiopharm International SA, Hoffmann-La Roche Ltd., IRX Therapeutics, Medpace, Merck-Serono, Merck Healthcare KGaA, MSD, Novartis, Pfizer, Roche, Adlai Nortye; Financial Interests, Institutional, Invited Speaker, Funds received by my institution for clinical studies and research activities in which I am involved: Alentis; Non-Financial Interests, Personal, Member: AIOM, ASCO, ESTRO, EORTC; Non-Financial Interests, Personal, Leadership Role: AIOCC. All other authors have declared no conflicts of interest.
Resources from the same session
104P - Comprehensive analysis of clinical characteristics and germline status among colorectal cancer patients in a tertiary care center in Thailand
Presenter: NUTDANAI ROILA
Session: Cocktail & Poster Display session
Resources:
Abstract
105P - Subsequent treatments after progression on cyclin-dependent kinase 4/6 inhibitors: A multicentric real-world data study
Presenter: Ana Rita Freitas
Session: Cocktail & Poster Display session
Resources:
Abstract
106P - Toxicity profile antibody-drug conjugates (ADCs) in metastatic breast cancer patients: A systematic review and meta-analysis based on studies’ design
Presenter: Silvia Belloni
Session: Cocktail & Poster Display session
Resources:
Abstract
107P - Receptor change on residual disease following neoadjuvant therapies for locally advanced breast cancer fails to impact oncological and survival outcomes
Presenter: Rionagh Lynch
Session: Cocktail & Poster Display session
Resources:
Abstract
114P - Comprehensive genomic profiling by liquid biopsy captures tumor heterogeneity and identifies cancer vulnerabilities in patients with RAS/BRAFV600E wild type metastatic colorectal cancer in the CAPRI 2-GOIM trial
Presenter: Davide Ciardiello
Session: Cocktail & Poster Display session
Resources:
Abstract
115P - Impact of tissue factor on clinical and biological characteristics in patients with advanced pancreatic cancer
Presenter: Taro Shibuki
Session: Cocktail & Poster Display session
Resources:
Abstract
116P - Multiomic profiling based on <italic>Akkermansia muciniphila</italic> in advanced non-small cell lung cancer
Presenter: Lorenzo Belluomini
Session: Cocktail & Poster Display session
Resources:
Abstract
117P - Transforming public patient omic data into precision oncology targets: A comprehensive pan-cancer approach
Presenter: Eléonore Fox
Session: Cocktail & Poster Display session
Resources:
Abstract
118P - Whole transcriptome sequencing of lung tissue to combine disease classification and identification of actionable targets
Presenter: Alejandro Pallares Robles
Session: Cocktail & Poster Display session
Resources:
Abstract
119P - Genetic profiling of breast cancer in a developing country: Towards the establishment of oncogenetics in Cameroon
Presenter: Kenn Chi Ndi
Session: Cocktail & Poster Display session
Resources:
Abstract