التفاصيل البيبلوغرافية
| العنوان: |
The 3-Biomarker Classifier—A Novel and Simple Molecular Risk Score Predicting Overall Survival in Patients with Colorectal Cancer. |
| المؤلفون: |
Melling, Nathaniel1 (AUTHOR) n.melling@uke.de, Fard-Aghaie, Mohammad H.1 (AUTHOR) m.fard-aghaie@uke.de, Hube-Magg, Claudia2 (AUTHOR) c.hube@uke.de, Kluth, Martina2 (AUTHOR) m.kluth@uke.de, Simon, Ronald2 (AUTHOR) r.simon@uke.de, Tachezy, Michael1 (AUTHOR) t.ghadban@uke.de, Ghadban, Tarik1 (AUTHOR) m.reeh@uke.de, Reeh, Matthias1 (AUTHOR) izbicki@uke.de, Izbicki, Jakob R.1 (AUTHOR) k.grupp@uke.de, Sauter, Guido2 (AUTHOR) g.sauter@uke.de, Grupp, Katharina1 (AUTHOR) |
| المصدر: |
Cancers. Sep2024, Vol. 16 Issue 18, p3223. 10p. |
| مصطلحات موضوعية: |
*TISSUE arrays, *RECEIVER operating characteristic curves, *COLORECTAL cancer, *TUMOR markers, *TREATMENT effectiveness, *CANCER patients, *MULTIVARIATE analysis, *DESCRIPTIVE statistics, *IMMUNOHISTOCHEMISTRY, *KAPLAN-Meier estimator, *LOG-rank test, *STAINS & staining (Microscopy), *OVERALL survival, *PROPORTIONAL hazards models, *REGRESSION analysis |
| مستخلص: |
Simple Summary: Colorectal cancer is one of the leading causes of cancer-related deaths worldwide. Traditional methods for predicting patient outcomes rely heavily on the physical characteristics of tumors. Our research aims to develop a new, simple risk score that uses three specific molecular markers found in tumor tissues. By examining the presence and levels of these markers, we hope to better predict which patients have a higher risk of poor outcomes. This can help doctors make more informed decisions about treatment options. Our findings may lead to improved survival rates by identifying high-risk patients who need more aggressive treatment and sparing low-risk patients from unnecessary procedures. Introduction: Several new molecular markers in colorectal carcinomas have been discovered; however, classical histopathological predictors are still being used to predict survival in patients. We present a novel risk score, which uses molecular markers, to predict outcomes in patients with colorectal carcinoma. Methods: The immunohistochemistry of tissue micro arrays was used to detect and quantify H2BUB1, RBM3 and Ki-67. Different intensities of staining were categorized for these markers and a score was established. A multivariate analysis was performed and survival curves were established. Results: 1791 patients were evaluated, and multivariate analysis revealed that our risk score, the 3-biomarker classifier, is an independent marker to predict survival. We found a high risk-score to be associated with dismal median survival for the patients. Conclusions: A more personalized score might be able to better discriminate low- and high-risk patients and suggest adjuvant treatment compared to classical pathological staging. Our score can serve as a tool to predict outcomes in patients suffering from colorectal carcinoma. [ABSTRACT FROM AUTHOR] |
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