Pattern of distant metastases and predictive nomograms in colorectal mucinous adenocarcinoma: a SEER analysis

Lian, Lian; Xu, Xuefei; Xiang‐dong, Shen; Huang, Tie-Ao; Li, Xian-Min; Han, Shiyu; Zhou, Chong; Xia, Yun

doi:10.21037/jgo-21-824

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…Clinically, early specific symptoms are not obvious, and distant metastases are prone to occur. The disease has a poor prognosis and survival rate and is difficult to cure, thus posing a serious threat to the health of those afflicted ( 33 - 35 ). Surgery remains the first treatment option for this disease, including laparoscopic and open surgery ( 36 ).…”

Section: Discussionmentioning

confidence: 99%

Construction and validation of a prognostic signature for mucinous colonic adenocarcinoma based on N7-methylguanosine-related long non-coding RNAs

Gao,

Ren,

Chen

et al. 2024

J Gastrointest Oncol

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Background Mucinous colonic adenocarcinoma remains a challenging disease due to its high propensity for metastasis and recurrence. N7-methylguanosine (m7G) and long non-coding RNA (lncRNA) are closely associated with the occurrence and progression of tumors. However, research on m7G-related lncRNA in mucinous colonic adenocarcinoma is lacking. Therefore, we sought to explore the prognostic impact of m7G-related lncRNAs in mucinous adenocarcinoma (MC) patients. Methods In this study, Pearson analysis was used to identify m7G-related lncRNAs from transcriptome data in The Cancer Genome Atlas (TCGA). Univariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) regression were used to further screen m7G-related lncRNAs and incorporate them into a prognostic signature. Based on the risk model, patients were divided into low- and high-risk groups and randomly assigned to the training set and test sets in a 6:4 ratio. Kaplan-Meier, receiver operating characteristic (ROC) curve, multivariate regression, and nomogram analyses were used to confirm the accuracy of the signature. The CIBERSORT algorithm was used to calculate the degree of immune cell infiltration (ICI). Finally, the correlation of the prognostic signature with tumor mutational burden (TMB) and immunophenotype score (IPS) was evaluated. Results A total of 432 m7G-related lncRNAs were identified by Pearson analysis. Univariate Cox regression, LASSO regression and survival analysis were performed to further select six m7G-related lncRNAs (P<0.05): AC254629.1 , LINC01133 , LINC01134 , MHENCR , SMIM2-AS1 , and XACT . Based on the risk model, heat maps, Kaplan-Meier curves, and ROC curves were constructed, and the results showed that there were significant differences in expression levels and survival status between the two risk groups. The area under the ROC curve (AUC) values for 3-, 5-, and 10-year survival in the training set were 0.944, 0.957, and 1.000, respectively. And in the test set were 0.964, 1.000, and 1.000, respectively. Subsequently, univariate and multivariate regression analyses of clinical characteristics and risk score were performed. The results of risk score were [hazard ratio (HR): 6.458, 95% confidence interval (CI): 2.708–15.403, P<0.001; HR: 7.280, 95% CI: 2.500–21.203, P<0.001], respectively. Using the risk score as an independent prognostic factor, the AUC of it over 3, 5, and 10 years was 0.911, 0.955, and 0.961, respectively. Calibration plots for the nomogram show that the model calibration line is very close to the ideal calibration line, indicating good calibration. The level of ICI was significantly different in the different risk groups. Survival analysis showed that, regardless of TMB risk, patients with MC and a high-risk score consistently had a poor overall ...

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Section: Discussionmentioning

confidence: 99%

Construction and validation of a prognostic signature for mucinous colonic adenocarcinoma based on N7-methylguanosine-related long non-coding RNAs

Gao,

Ren,

Chen

et al. 2024

J Gastrointest Oncol

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“…The study found that patients with liver and bone metastasis had signi cantly shorter OS compared with patients without metastasis (P<0.001). Additionally, patients with multi-organ metastases had worse prognosis (P<0.001) compared with patients who had fewer metastases [25]. Creasy et al analyzed the 10-year survival rates of patients with CRCLM following liver resection and discovered that a higher number of liver metastatic lesions (>10) indicated poorer prognosis compared with fewer liver lesions [26].…”

Section: Discussionmentioning

confidence: 99%

Analysis of Prognostic Risk Factors and Establishment of a Prognostic Model for Liver Metastasis in Patients with Colon Cancer

Xiang,

Li,

Cao

et al. 2023

Preprint

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Background Colorectal cancer often metastasizes to the liver, which is associated with poor prognosis. The aim of this study was to establish an efficient nomogram model for predicting overall survival (OS) and disease-free-survival (DFS) in patients with colorectal cancer and liver metastasis. Methods We analyzed 421 patients diagnosed with colorectal cancer and liver metastasis at Tongji Medical College of Huazhong University of Science and Technology and Affiliated Union Hospital from January 2013 to December 2018. These patients were randomly assigned to training and validation cohorts. Single-factor and multivariate Cox regression analyses were performed to determine independent predictive risk factors and to construct nomograms for predicting OS and DFS. The performance of the nomograms was evaluated using calibration curves, area under the receiver operating characteristic curve (AUROC), and decision curve analysis (DCA). Results Tumor size, vascular tumor embolus, blood transfusion, number of liver metastases, number of sampled lymph nodes, staging, postoperative hospital stay, and carcinoembryonic antigen (CEA) were identified as independent predictive factors for liver metastasis. We developed a survival prediction model incorporating these eight prognostic factors. The Nomogram demonstrated good sensitivity in predicting 1-year, 3-year, and 5-year OS rates. In the training cohort, the AUROC for 1-year, 3-year, and 5-year OS was 0.793, 0.758, and 0.823, respectively. In the validation cohort, the respective AUROC values were 0.750, 0.704, and 0.822, respectively. Additionally, we constructed a column chart for patients' DFS based on histological subtype, number of sampled lymph nodes, vascular tumor embolus, number of liver metastases, perioperative transfusion, and CEA level. In the training cohort, the 1-year, 3-year, and 5-year DFS rates were 0.768, 0.716, and 0.803, respectively. In the validation cohort, the rates were 0.730, 0.839, and 0.838, respectively. Conclusion Based on clinical, pathological, and tumor biomarker characteristics, the newly constructed nomogram accurately predicted OS and DFS. This tool may be valuable for guiding clinical decision-making. In practice, individual patient data and analytical results may be used to develop personalized treatment plans that may improve prognosis and overall survival rates.

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“…There was a nomogram for the prognosis of colorectal MAC patients constructed by Lian et al Compared to our nomogram study, this previous study was mainly focused on the pattern of distant metastases, and external validation was absent [ 32 ]. Our study was larger in scale and more comprehensive.…”

Section: Discussionmentioning

confidence: 99%

A prognostic nomogram for predicting overall survival in colorectal mucinous adenocarcinoma patients based on the SEER database

Zhang

Wang

et al. 2022

Bosn J of Basic Med Sci

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A nomogram was constructed to predict the survival of patients with colorectal mucinous adenocarcinoma based on data extracted from the Surveillance, Epidemiology and End Result (SEER) database. Data collected between 2010 and 2018 were obtained from the SEER database. The log-rank test and multivariate Cox regression were performed to identify the independent prognostic factors for overall survival, which were further used to construct a nomogram model to predict 1-, 3-, and 5-year overall survival. In total, 10846 patients diagnosed with colorectal mucinous adenocarcinoma were enrolled in the study. The following 11 variables were associated with survival and were further incorporated into the nomogram: age at diagnosis, primary site, grade, tumour size, lymph node dissection, T stage, N stage, M stage, surgery for primary site, chemotherapy, and household income. The concordance index (C-index) value was 0.725 (95% confidence interval 0.716-0.734), and the receiver operating characteristic curves and calibration curves showed satisfactory predictive accuracy. Both the C-index and time-independent area under the curve values were greater than those of the American Joint Committee on Cancer 7th TNM classification system (both P < 0.001). In the validation group, the results were consistent with those of the training group, with a C-index value of 0.726 (95% confidence interval, 0.713-0.739). This study constructed a practical nomogram to predict 1-, 3-, and 5-year OS for patients with colorectal colorectal mucinous adenocarcinoma based on SEER data.

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Pattern of distant metastases and predictive nomograms in colorectal mucinous adenocarcinoma: a SEER analysis

Cited by 7 publications

References 29 publications

Construction and validation of a prognostic signature for mucinous colonic adenocarcinoma based on N7-methylguanosine-related long non-coding RNAs

Construction and validation of a prognostic signature for mucinous colonic adenocarcinoma based on N7-methylguanosine-related long non-coding RNAs

Analysis of Prognostic Risk Factors and Establishment of a Prognostic Model for Liver Metastasis in Patients with Colon Cancer

A prognostic nomogram for predicting overall survival in colorectal mucinous adenocarcinoma patients based on the SEER database

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