Abstract 115P
Background
Rare cancers (defined by an incidence <6/105/y) have more often inaccurate diagnoses, molecular profiling and access to clinical trials. Within the EORTC-SPECTA platform, the ARCAGEN study conducted between EORTC and EURACAN was initiated in 2019 and aimed to assess the prevalence of genomic alterations, and their actionability in patients diagnosed with advanced rare cancers.
Methods
Patients with a rare adult solid tumor of one of the 10 domains of EURACAN in advanced phase were molecularly characterized (F1LCDx, F1HemeCDx or F1CDx) in the ARCAEN study as part of the SPECTA program after signing the informed consent.
Results
Within 3.5 years, 918 patients were recruited within 14 countries in Europe and evaluable. Rearrangements (including inversions and fusions) were identified in 166 patients (18%), clinically significant in 102 (11%) patients and actionable for 55 (6%). Actionable alterations were predominantly identified in FGFR2 (n=17), EGFR (n=6), ALK (n=4) and NTRK (n=2), and in patients with rare sarcoma (10 out of 66, 15%, mainly diagnostic fusions), brain (8 out of 63, 12.7%) and GI malignancies (12 out of 119, 10%). Personalized therapy was adopted for 11 out of 55 patients (20%, including 5 cholangiocarcinoma and 2 thyroid cancers), with 8 (73%) partial responses, 3 (27%) SD, for a median PFS of 12 months (range [2-24 months]) and 4 patients still on treatment at time of analysis, including 3 for longer than 15 months with RET or ALK fusion. 25 patients (45%) with actionable alterations died before accessing the recommended therapy.
Conclusions
Rearrangements in rare cancers have at least, a similar rate as in common cancers and can be targeted. However, despite identification of the alterations, treatment access remains limited.
Clinical trial identification
SPECTA - NCT02834884.
Editorial acknowledgement
Legal entity responsible for the study
European Organisation of Research and Treatment of Cancer.
Funding
Cencora, Hoffman-La Roche.
Disclosure
N. Penel: Financial Interests, Institutional, Research Grant, Research grant for clinical trials in sarcoma filed: Bayer HealthCare. 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; 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. N. Girard: Financial Interests, Personal, Invited Speaker: AstraZeneca, BMS, MSD, Roche, Pfizer, Mirati, Amgen, Novartis, Sanofi, Gilead; Financial Interests, Personal, Advisory Board: AstraZeneca, BMS, MSD, Roche, Pfizer, Janssen, Boehringer Ingelheim, Novartis, Sanofi, AbbVie, Amgen, Lilly, Grunenthal, Takeda, Owkin, Leo Pharma, Daiichi Sankyo, Ipsen; Financial Interests, Institutional, Research Grant, Local: Roche, Sivan, Janssen; Financial Interests, Institutional, Funding: BMS, Leo Pharma; Financial Interests, Institutional, Research Grant: MSD; Other, Family member is an employee: AstraZeneca. J.A. Gietema: Financial Interests, Institutional, Research Grant, Research grant paid to the institution UMCG: Roche, Siemens, AbbVie. W.W. de Herder: Financial Interests, Personal, Advisory Board: Novartis, Ipsen, ITM; Financial Interests, Personal, Invited Speaker: Novartis; Non-Financial Interests, Leadership Role, Chairman EURACAN Domain 4 Rare Cancer of the Neuroendocrine system: EU. E. Kapiteijn: Financial Interests, Institutional, Advisory Board: Delcath, Lilly; Financial Interests, Institutional, Invited Speaker: Immunocore; Financial Interests, Institutional, Coordinating PI: BMS, Pierre-Fabre, Delcath, Novartis. I.L. Ray-Coquard: Financial Interests, Personal, Advisory Board: Roche, GSK, AstraZeneca, Mersana, Deciphera, Amgen, Oxnea, Merck Sereno, Agenus, Novartis, Macrogenics, Clovis, EQRX, adaptimmun, Eisai, SUTRO, BMS, Adaptimmune, Daiichi Sankyo, Immunogen, Seagen, PMVpharma; Financial Interests, Institutional, Other, Colibri translational research: BMS; Financial Interests, Institutional, Advisory Board, translational research NEOPREMBROV trial: MSD; Non-Financial Interests, Principal Investigator: PAOLA1; Non-Financial Interests, Other, President: Gineco. J. Blay: Financial Interests, Institutional, Invited Speaker: MSD, MSD, PharmaMar; Financial Interests, Institutional, Advisory Board: Bayer, GSK, Roche; Financial Interests, Personal, Advisory Board: Deciphera; Financial Interests, Personal, Other, member of the supervisory board. No remunerations in 2021 and 2022.: Innate pharma; Financial Interests, Personal, Member of Board of Directors: Transgene; Financial Interests, Institutional, Funding: MSD, BMS, Deciphera; Financial Interests, Institutional, Research Grant: AstraZeneca, Roche, Bayer, GSK, Novartis, OSE pharma. All other authors have declared no conflicts of interest.
Resources from the same session
173P - Unveiling a novel EpCAM-CD24+ circulating cells with unidentified origin associated with breast cancer distant metastasis
Presenter: Evgeniya Grigoryeva
Session: Poster session 08
174P - Prognostic value of the immune and metabolic profile in the response to neoadjuvant treatment with ICIs in triple-negative breast cancer patients (TNBC)
Presenter: Lucía Serrano García
Session: Poster session 08
175P - Utility of artificial intelligence (AI) in Ki67 scoring of a breast cancer (BC) patient population
Presenter: Xavier Pichon
Session: Poster session 08
176P - ERBB2 amplifications across sex, race, and cancer types
Presenter: Marc Machaalani
Session: Poster session 08
177P - HER2 testing in multiple solid tumors: Concordance between 3 scoring algorithms
Presenter: Wentao Yang
Session: Poster session 08
178P - PD-L1 expression in ER-low versus triple-negative (TN) advanced breast cancer (aBC), and according to phenotypic evolution from primary to recurrent disease
Presenter: Federica Miglietta
Session: Poster session 08
179P - Multimodal deep learning integrating MRI and molecular profiles for predicting outcomes in triple-negative breast cancer
Presenter: Seong Hwan Park
Session: Poster session 08
181P - Molecular characterization and immune microenvironment analysis of MSI-H patients with or without MMR gene mutations
Presenter: Mengxi Ge
Session: Poster session 08
182P - Multi-modal artificial intelligence outperforms image-based approaches for mutation prediction from H&E tissue images in colorectal cancer
Presenter: Marc Päpper
Session: Poster session 08