Added value of whole-exome and RNA sequencing in advanced and refractory cancer patients with no molecular-based treatment recommendation based on a 90-gene panel.

RNA‐sequencing cancer biology cancer management gene panel molecular tumor board precision oncology targeted therapy whole exome sequencing

Journal

Cancer medicine
ISSN: 2045-7634
Titre abrégé: Cancer Med
Pays: United States
ID NLM: 101595310

Informations de publication

Date de publication:
Apr 2024
Historique:
revised: 21 02 2024
received: 25 09 2023
accepted: 04 03 2024
medline: 30 3 2024
pubmed: 30 3 2024
entrez: 30 3 2024
Statut: ppublish

Résumé

The objective was to determine the added value of comprehensive molecular profile by whole-exome and RNA sequencing (WES/RNA-Seq) in advanced and refractory cancer patients who had no molecular-based treatment recommendation (MBTR) based on a more limited targeted gene panel (TGP) plus array-based comparative genomic hybridization (aCGH). In this retrospective analysis, we selected 50 patients previously included in the PROFILER trial (NCT01774409) for which no MBT could be recommended based on a targeted 90-gene panel and aCGH. For each patient, the frozen tumor sample mirroring the FFPE sample used for TGP/aCGH analysis were processed for WES and RNA-Seq. Data from TGP/aCGH were reanalyzed, and together with WES/RNA-Seq, findings were simultaneously discussed at a new molecular tumor board (MTB). After exclusion of variants of unknown significance, a total of 167 somatic molecular alterations were identified in 50 patients (median: 3 [1-10]). Out of these 167 relevant molecular alterations, 51 (31%) were common to both TGP/aCGH and WES/RNA-Seq, 19 (11%) were identified by the TGP/aCGH only and 97 (58%) were identified by WES/RNA-Seq only, including two fusion transcripts in two patients. A MBTR was provided in 4/50 (8%) patients using the information from TGP/aCGH versus 9/50 (18%) patients using WES/RNA-Seq findings. Three patients had similar recommendations based on TGP/aCGH and WES/RNA-Seq. In advanced and refractory cancer patients in whom no MBTR was recommended from TGP/aCGH, WES/RNA-Seq allowed to identify more alterations which may in turn, in a limited fraction of patients, lead to new MBTR.

Identifiants

pubmed: 38553950
doi: 10.1002/cam4.7115
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e7115

Subventions

Organisme : InterSARC
ID : INCa
Organisme : EURACAN
ID : EC 739521
Organisme : Ligue Contre le Cancer
Organisme : Fondation ARC pour la Recherche sur le Cancer
Organisme : NetSARC
Organisme : PLAsCAN
ID : 17-CONV-0002
Organisme : LabEx DEvweCAN
ID : ANR-10-LABX 0061
Organisme : LYriCAN
ID : INCa-DGOS-Inserm_12563
Organisme : LYriCAN+
ID : INCa-DGOS-INSERM-ITMOcancer_18003

Informations de copyright

© 2024 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Références

Drilon A, Laetsch TW, Kummar S, et al. Efficacy of Larotrectinib in TRK fusion‐positive cancers in adults and children. N Engl J Med. 2018;378(8):731‐739.
Le DT, Durham JN, Smith KN, et al. Mismatch repair deficiency predicts response of solid tumors to PD‐1 blockade. Science. 2017;357(6349):409‐413.
Marcus L, Donoghue M, Aungst S, et al. FDA approval summary: Entrectinib for the treatment of NTRK gene fusion solid tumors. Clin Cancer Res. 2021;27(4):928‐932.
Le Tourneau C, Delord JP, Gonçalves A, et al. Molecularly targeted therapy based on tumour molecular profiling versus conventional therapy for advanced cancer (SHIVA): a multicentre, open‐label, proof‐of‐concept, randomised, controlled phase 2 trial. Lancet Oncol. 2015;16(13):1324‐1334.
Massard C, Michiels S, Ferté C, et al. High‐throughput genomics and clinical outcome in hard‐to‐treat advanced cancers: results of the MOSCATO 01 trial. Cancer Discov. 2017;7(6):586‐595.
Stockley TL, Oza AM, Berman HK, et al. Molecular profiling of advanced solid tumors and patient outcomes with genotype‐matched clinical trials: the Princess Margaret IMPACT/COMPACT trial. Genome Med. 2016;8(1):109.
Tredan O, Wang Q, Pissaloux D, et al. Molecular screening program to select molecular‐based recommended therapies for metastatic cancer patients: analysis from the ProfiLER trial. Ann Oncol. 2019;30(5):757‐765.
Jardim DL, Schwaederle M, Wei C, et al. Impact of a biomarker‐based strategy on oncology drug development: a meta‐analysis of clinical trials leading to FDA approval. J Natl Cancer Inst. 2015;107(11):djv253.
Schwaederle M, Zhao M, Lee JJ, et al. Impact of precision medicine in diverse cancers: a meta‐analysis of phase II clinical trials. J Clin Oncol. 2015;33(32):3817‐3825.
Schwaederle M, Zhao M, Lee JJ, et al. Association of biomarker‐based treatment strategies with response rates and progression‐free Survival in refractory malignant neoplasms: a meta‐analysis. JAMA Oncol. 2016;2(11):1452‐1459.
Mateo J, Chakravarty D, Dienstmann R, et al. A framework to rank genomic alterations as targets for cancer precision medicine: the ESMO Scale for Clinical Actionability of molecular Targets (ESCAT). Ann Oncol. 2018;29(9):1895‐1902.
Tredan O, Pouessel D, Penel N, et al. Increasing targeted therapy options for patients with relapsed cancer with broader somatic gene panel analysis from the primary tumor: the Profiler02 randomized phase II trial. J Clin Oncol. 2022;40(suppl 16):3130.
Pleasance E, Bohm A, Williamson LM, et al. Whole‐genome and transcriptome analysis enhances precision cancer treatment options. Ann Oncol. 2022;33(9):939‐949.
Horak P, Heining C, Kreutzfeldt S, et al. Comprehensive genomic and transcriptomic analysis for guiding therapeutic decisions in patients with rare cancers. Cancer Discov. 2021;11(11):2780‐2795.
Koeppel F, Muller E, Harlé A, et al. Standardisation of pathogenicity classification for somatic alterations in solid tumours and haematologic malignancies. Eur J Cancer. 2021;159:1‐15.

Auteurs

Armelle Dufresne (A)

Department of Medical Oncology, Centre Léon Bérard, Lyon, France.

Valéry Attignon (V)

Platform of Cancer Genomics, Centre Léon Bérard, Lyon, France.

Anthony Ferrari (A)

Platform of Bioinformatics Gilles-Thomas, Centre Léon Bérard, Lyon, France.

Laurie Tonon (L)

Platform of Bioinformatics Gilles-Thomas, Centre Léon Bérard, Lyon, France.

Sandrine Boyault (S)

Platform of Cancer Genomics, Centre Léon Bérard, Lyon, France.

Séverine Tabone-Eglinger (S)

Biobank, Centre Léon Bérard, Lyon, France.

Philippe Cassier (P)

Department of Medical Oncology, Centre Léon Bérard, Lyon, France.

Olivier Trédan (O)

Department of Medical Oncology, Centre Léon Bérard, Lyon, France.

Nadège Corradini (N)

Department of Pediatric Oncology, Institute of Pediatric Hematology and Oncology, Centre Leon Bérard, Lyon, France.

Armelle Vinceneux (A)

Department of Medical Oncology, Centre Léon Bérard, Lyon, France.

Aurélie Swalduz (A)

Department of Medical Oncology, Centre Léon Bérard, Lyon, France.

Alain Viari (A)

Platform of Bioinformatics Gilles-Thomas, Centre Léon Bérard, Lyon, France.

Sylvie Chabaud (S)

Department of Clinical Research, Centre Léon Bérard, Lyon, France.

David Pérol (D)

Department of Clinical Research, Centre Léon Bérard, Lyon, France.

Jean Yves Blay (JY)

Department of Medical Oncology, Centre Léon Bérard, Lyon, France.
Univ Lyon, Claude Bernard Lyon 1 University, INSERM 1052, CNRS 5286, Centre Léon Bérard, Cancer Research Center of Lyon, Lyon, France.

Pierre Saintigny (P)

Department of Medical Oncology, Centre Léon Bérard, Lyon, France.
Univ Lyon, Claude Bernard Lyon 1 University, INSERM 1052, CNRS 5286, Centre Léon Bérard, Cancer Research Center of Lyon, Lyon, France.

Classifications MeSH