2026-04-13T14:21:26Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1984052026-04-02T15:19:51Zcom_2072_1057col_2072_478798col_2072_478916col_2072_478917

00925njm 22002777a 4500 dc Salazar Soler, Ramón author Roepman, Paul author Capellá, G. (Gabriel) author Moreno Aguado, Víctor author Simon, Iris M. author Dreezen, Christa author López Dóriga Guerra, Adriana author Santos, Cristina author Marijnen, Corrie author Westerga, Johan author Bruin, Sjoerd author Kerr, David author Kuppen, Peter author Van de Velde, Cornelis J.H author Morreau, Hans author Velthuysen, Loes Van author Glas, Annuska M. author Van't Veer, Laura J. author Tollenaar, Rob author 2023-05-24T18:06:25Z 2023-05-24T18:06:25Z 2011 2023-05-24T18:06:25Z Purpose: This study aims to develop a robust gene expression classifier that can predict disease relapse in patients with early-stage colorectal cancer (CRC). Patients and methods: Fresh frozen tumor tissue from 188 patients with stage I to IV CRC undergoing surgery was analyzed using Agilent 44K oligonucleotide arrays. Median follow-up time was 65.1 months, and the majority of patients (83.6%) did not receive adjuvant chemotherapy. A nearest mean classifier was developed using a cross-validation procedure to score all genes for their association with 5-year distant metastasis-free survival. Results: An optimal set of 18 genes was identified and used to construct a prognostic classifier (ColoPrint). The signature was validated on an independent set of 206 samples from patients with stage I, II, and III CRC. The signature classified 60% of patients as low risk and 40% as high risk. Five-year relapse-free survival rates were 87.6% (95% CI, 81.5% to 93.7%) and 67.2% (95% CI, 55.4% to 79.0%) for low- and high-risk patients, respectively, with a hazard ratio (HR) of 2.5 (95% CI, 1.33 to 4.73; P = .005). In multivariate analysis, the signature remained one of the most significant prognostic factors, with an HR of 2.69 (95% CI, 1.41 to 5.14; P = .003). In patients with stage II CRC, the signature had an HR of 3.34 (P = .017) and was superior to American Society of Clinical Oncology criteria in assessing the risk of cancer recurrence without prescreening for microsatellite instability (MSI). Conclusion: ColoPrint significantly improves the prognostic accuracy of pathologic factors and MSI in patients with stage II and III CRC and facilitates the identification of patients with stage II disease who may be safely managed without chemotherapy. Càncer colorectal Pronòstic mèdic Genètica Colorectal cancer Prognosis Genetics A gene expression signature to improve prognosis prediction of stage II and III colorectal cancer