Colon cancer survival in California from 2004 to 2011 by stage at diagnosis, sex, race/ethnicity, and socioeconomic status

Background: Colon cancer is a common malignant tumor in the digestive tract. Exploring new treatment targets is of great significance for improving the survival of colon cancer patients. This study mainly analyzes the impact of proliferation essential genes (PLEG) on the prognosis and chemotherapy response of colon cancer, as well as identifying the expression and cellular functions of important PLEG.  Methods: The DepMap database was utilized for identification of PLEG in colon cancer cells. Through DEGs screening, WGCNA, univariate cox regression survival analysis, and LASSO, a PLEG signature (PLEGs) model was constructed. The impact of PLEGs on the prognosis of colon cancer patients and their response to chemotherapy was further analyzed. Finally, we conducted a random forest analysis and implemented functional experiments to investigate the prominent PLEG that is linked to the development of colon cancer.</p>  Results: Based on the expression and prognosis of PLEG, we constructed a PLEGs prognosis model which can effectively predict the prognosis of colon cancer patients and their response to chemotherapy treatment. Random forest analysis showed that UBA1 is a key PLEG in the progression of colon cancer. Immunohistochemistry results revealed that UBA1 protein is significantly upregulated in colon cancer. Cell functional experiments demonstrated that knocking down UBA1 can inhibit the proliferation, invasion, and migration abilities of colon cancer cells.</p>  Conclusion: PLEGs have the potential to serve as predictive biomarkers for prognosis and chemotherapy response in colon cancer. Among the PLEG, UBA1 plays a prominent role in promoting the malignant progression of colon cancer cells.

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Prognostic value and chemotherapy response prediction of a proliferation essential gene signature in colon cancer

Liu

Liang

et al. 2023

Bioscience Reports

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Diagnostic Accuracy of Abdominal CT for Locally Advanced Colon Tumors: Can We Really Entrust Certain Decisions to the Reliability of CT?

García del Álamo Hernández,

Cano-Valderrama,

Cerdán-Santacruz

et al. 2023

JCM

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Many different options of neoadjuvant treatments for advanced colon cancer are emerging. An accurate preoperative staging is crucial to select the most appropriate treatment option. A retrospective study was carried out on a national series of operated patients with T4 tumors. Considering the anatomo-pathological analysis of the surgical specimen as the gold standard, a diagnostic accuracy study was carried out on the variables T and N staging and the presence of peritoneal metastases (M1c). The parameters calculated were sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios, as well as the overall accuracy. A total of 50 centers participated in the study in which 1950 patients were analyzed. The sensitivity of CT for correct staging of T4 colon tumors was 57%. Regarding N staging, the overall accuracy was 63%, with a sensitivity of 64% and a specificity of 62%; however, the positive and negative likelihood ratios were 1.7 and 0.58, respectively. For the diagnosis of peritoneal metastases, the accuracy was 94.8%, with a sensitivity of 40% and specificity of 98%; in the case of peritoneal metastases, the positive and negative likelihood ratios were 24.4 and 0.61, respectively. The diagnostic accuracy of CT in the setting of advanced colon cancer still has some shortcomings for accurate diagnosis of stage T4, correct classification of lymph nodes, and preoperative detection of peritoneal metastases.

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Colon cancer survival in California from 2004 to 2011 by stage at diagnosis, sex, race/ethnicity, and socioeconomic status

Cited by 2 publications

References 34 publications

Prognostic value and chemotherapy response prediction of a proliferation essential gene signature in colon cancer

Prognostic value and chemotherapy response prediction of a proliferation essential gene signature in colon cancer

Diagnostic Accuracy of Abdominal CT for Locally Advanced Colon Tumors: Can We Really Entrust Certain Decisions to the Reliability of CT?

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