Prediction of Postoperative Survival in Young Colorectal Cancer Patients: A Cohort Study Based on the SEER Database

Pan, Sheng; Mei, Wenchao; Huang, Li; Tao, Yane; Xu, Jing; Ruan, Yuelu

doi:10.1155/2022/2736676

Cited by 3 publications

(2 citation statements)

References 33 publications

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“…The high heritability and frequent recurrence of CRC leads to considerable mortality and the association with poor prognosis ( 104 ). At 2020, there were >1.9 million new cases of CRC (including anal) and nearly 935,000 mortalities in worldwide ( 105 ). CRC accounts for 9.2% of global deaths, with 5- and 10-year survival rates of 65 and 58%, respectively ( 106 ).…”

Section: Relationship Between Cct and Crcmentioning

confidence: 99%

A potential tumor marker: Chaperonin containing TCP‑1 controls the development of malignant tumors (Review)

et al. 2023

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Due to concealment, high invasiveness and a lack of indicators, malignant tumors have emerged as one of the deadliest diseases worldwide and their incidence is rising yearly. Research has revealed that the chaperonin family member, chaperonin containing TCP-1 (CCT), serves a crucial role in malignant tumors. CCT is involved in the growth of numerous malignant tumors such as lung cancer, breast cancer, hepatocellular carcinoma and colorectal cancer and assists the folding of a number of proteins linked to cancer, such as KRAS, p53 and STAT3. According to clinical data, CCT is highly expressed in a range of tumor cells and is associated with poor patient prognosis. In addition, through controlling the cell cycle or interacting with other proteins (including YAP1, HoXB2 and SMAD2), CCT has an effect on the proliferation, invasion and migration of cancer cells. As a result, it is possible that CCT will become a new tumor marker or therapeutic target, which will provide some guidance for early tumor screening or late tumor prognosis. In the present review, the molecular properties of CCT are introduced, alongside a summary of its interactions with other cancer-related proteins and a discussion of its function in common malignant tumors. It is expected that the present review will offer fresh approaches to the treatment of cancer.

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Section: Relationship Between Cct and Crcmentioning

confidence: 99%

A potential tumor marker: Chaperonin containing TCP‑1 controls the development of malignant tumors (Review)

et al. 2023

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“…The nomogram is a statistical model that generate a probability of several clinical events for a particular individual 8 – 11 . Therefore, we aimed to create predictive nomograms and web-based survival calculators based on the SEER database.…”

Section: Introductionmentioning

confidence: 99%

Development and validation of nomograms predicting overall and cancer-specific survival for non-metastatic primary malignant bone tumor of spine patients

Shao

Wang

Shi

2023

Sci Rep

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At present, no study has established a survival prediction model for non-metastatic primary malignant bone tumors of the spine (PMBS) patients. The clinical features and prognostic limitations of PMBS patients still require further exploration. Data on patients with non-metastatic PBMS from 2004 to 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Multivariate regression analysis using Cox, Best-subset and Lasso regression methods was performed to identify the best combination of independent predictors. Then two nomograms were structured based on these factors for overall survival (OS) and cancer-specific survival (CSS). The accuracy and applicability of the nomograms were assessed by area under the curve (AUC) values, calibration curves and decision curve analysis (DCA). Results: The C-index indicated that the nomograms of OS (C‐index 0.753) and CSS (C‐index 0.812) had good discriminative power. The calibration curve displays a great match between the model’s predictions and actual observations. DCA curves show our models for OS (range: 0.09–0.741) and CSS (range: 0.075–0.580) have clinical value within a specific threshold probability range compared with the two extreme cases. Two nomograms and web-based survival calculators based on established clinical characteristics was developed for OS and CSS. These can provide a reference for clinicians to formulate treatment plans for patients.

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Predicting the probability of death within five years after surgery in patients with colorectal cancer

Zhou

Liu

Wang

et al. 2023

Preprint

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Background: This research aims to investigate the factors associated with mortality in colorectal cancer (CRC) patients within five years after surgery and to develop nomograms to predict the probability of death within five years after surgery. Methods: Patients diagnosed with CRC eligible for this retrospective cohort study between 2010 and 2015 were collected from the Surveillance, Epidemiology, and End Results (SEER) database. They were randomly divided intothe training set and the validation set. Random forest method and multivariate logistic regression analysis were used to identify factors associated with death within five years (survival time ≤ 60 months). Nomograms were developed to estimate the probability of cancer-specific death (CSD) and overall death (OD) in 5 years. The concordance index (C-Index), the receiver operating characteristic (ROC) curve, and the calibration plot were utilized to evaluate the nomograms' discrimination and calibration capabilities. Decision curve analysis (DCA) was used to assess the clinical value of the nomograms. Results: A total of 26459 eligible CRC patients were enrolled in this study. Multivariate logistic regression analysis showed that age, sex, histology, T stage, N stage, M stage, carcinoembryonic antigen (CEA), radiotherapy, and chemotherapy were associated with death in CRC patients. The C-index of the nomogram for predicting CDS was 0.824 (0.818-0.829), and the C-index for predicting OD was 0.807 (0.801-0.814). The ROC curve demonstrated that the nomograms had a high capacity for discrimination. The calibration curve revealed that the predicted curve was exceptionally near the reference line, showing that the nomogram's calibration capacity was excellent. DCA demonstrated a net clinical advantage over TNM staging. Conclusion: The nomograms can be used to predict the probability of death within five years after surgery for stage I-IV CRC. It is helpful for clinicians to identify high-risk populations, evaluate the prognosis of CRC patients, and customize targeted treatment plans for patients.

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Prediction of Postoperative Survival in Young Colorectal Cancer Patients: A Cohort Study Based on the SEER Database

Cited by 3 publications

References 33 publications

A potential tumor marker: Chaperonin containing TCP‑1 controls the development of malignant tumors (Review)

A potential tumor marker: Chaperonin containing TCP‑1 controls the development of malignant tumors (Review)

Development and validation of nomograms predicting overall and cancer-specific survival for non-metastatic primary malignant bone tumor of spine patients

Predicting the probability of death within five years after surgery in patients with colorectal cancer

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