Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors
- DOI
- 10.1158/0008-5472.can-26-0132
- Published
- 2026-06-08
- Container
- Cancer Research
- Publisher
- American Association for Cancer Research (AACR)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1158/0008-5472.can-26-0132,
title = {Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors},
author = {Arianna Bonetti and Van-Linh Le and Zunamys I. Carrero and Fabian Wolf and Marco Gustav and Suk Wai Lam and Lucile Vanhersecke and Pawel Sobczuk and François Le Loarer and Małgorzata Lenarcik and Piotr Rutkowski and Joris M. van Sabben and Neeltje Steeghs and Hester H. Van Boven and Isidro Machado and Silvia Bagué and Samuel Navarro and Emilio Medina-Ceballos and Carolina Agra-Pujol and Francisco Giner and Gustavo Tapia and Alba Hernández-Gallego and Gema Civantos-Jubera and Miriam Cuatrecasas and Sandra Lopez-Prades and Raul Perret and Isabelle Soubeyran and Emmanuel Khalifa and Laura Blouin and Eva Wardelmann and Alexandra Meurgey and Paola Collini and Artem Voloshin and Yasushi Yatabe and Hidekazu Hirano and Alessandro Gronchi and Toshirou Nishida and Olivier Bouche and Jean-Francois Emile and Carine Ngo and Peter Hohenberger and Cristina Cotarelo and Jens Jakob and Judith V.M.G. Bovee and Hans Gelderblom and Anna Szumera-Ciećkiewicz and Myriam Jean-Denis and Julien Bollard and Nathalie Lassau and Axel Le Cesne and Jean-Yves Blay and Antoine Italiano and Amandine Crombe and Jean-Michel Coindre and Jakob Nikolas Kather},
year = {2026},
journal = {Cancer Research},
doi = {10.1158/0008-5472.can-26-0132},
url = {https://doi.org/10.1158/0008-5472.can-26-0132}
}RIS
TY - JOUR TI - Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors AU - Arianna Bonetti AU - Van-Linh Le AU - Zunamys I. Carrero AU - Fabian Wolf AU - Marco Gustav AU - Suk Wai Lam AU - Lucile Vanhersecke AU - Pawel Sobczuk AU - François Le Loarer AU - Małgorzata Lenarcik AU - Piotr Rutkowski AU - Joris M. van Sabben AU - Neeltje Steeghs AU - Hester H. Van Boven AU - Isidro Machado AU - Silvia Bagué AU - Samuel Navarro AU - Emilio Medina-Ceballos AU - Carolina Agra-Pujol AU - Francisco Giner AU - Gustavo Tapia AU - Alba Hernández-Gallego AU - Gema Civantos-Jubera AU - Miriam Cuatrecasas AU - Sandra Lopez-Prades AU - Raul Perret AU - Isabelle Soubeyran AU - Emmanuel Khalifa AU - Laura Blouin AU - Eva Wardelmann AU - Alexandra Meurgey AU - Paola Collini AU - Artem Voloshin AU - Yasushi Yatabe AU - Hidekazu Hirano AU - Alessandro Gronchi AU - Toshirou Nishida AU - Olivier Bouche AU - Jean-Francois Emile AU - Carine Ngo AU - Peter Hohenberger AU - Cristina Cotarelo AU - Jens Jakob AU - Judith V.M.G. Bovee AU - Hans Gelderblom AU - Anna Szumera-Ciećkiewicz AU - Myriam Jean-Denis AU - Julien Bollard AU - Nathalie Lassau AU - Axel Le Cesne AU - Jean-Yves Blay AU - Antoine Italiano AU - Amandine Crombe AU - Jean-Michel Coindre AU - Jakob Nikolas Kather PY - 2026 JO - Cancer Research DO - 10.1158/0008-5472.can-26-0132 UR - https://doi.org/10.1158/0008-5472.can-26-0132 ER -
APA
Bonetti, A., Le, V., Carrero, Z. I., Wolf, F., Gustav, M., Lam, S. W., Vanhersecke, L., Sobczuk, P., Loarer, F. L., Lenarcik, M., Rutkowski, P., Sabben, J. M. V., Steeghs, N., Boven, H. H. V., Machado, I., Bagué, S., Navarro, S., Medina-Ceballos, E., Agra-Pujol, C., Giner, F., Tapia, G., Hernández-Gallego, A., Civantos-Jubera, G., Cuatrecasas, M., Lopez-Prades, S., Perret, R., Soubeyran, I., Khalifa, E., Blouin, L., Wardelmann, E., Meurgey, A., Collini, P., Voloshin, A., Yatabe, Y., Hirano, H., Gronchi, A., Nishida, T., Bouche, O., Emile, J., Ngo, C., Hohenberger, P., Cotarelo, C., Jakob, J., Bovee, J. V., Gelderblom, H., Szumera-Ciećkiewicz, A., Jean-Denis, M., Bollard, J., Lassau, N., Cesne, A. L., Blay, J., Italiano, A., Crombe, A., Coindre, J., & Kather, J. N. (2026). Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors. Cancer Research. https://doi.org/10.1158/0008-5472.can-26-0132
Source records
- crossref · retrieved 2026-09-26T04:00:21.112Z