A novel nutrition-related nomogram for the survival prediction of colorectal cancer-results from a multicenter study

Abstract

Background Precisely predicting the short- and long-term survival of patients with cancer is important. The tumor-node-metastasis (TNM) stage can accurately predict the long-term, but not short-term, survival of cancer. Nutritional status can affect the individual status and short-term outcomes of patients with cancer. Our hypothesis was that incorporating TNM stage and nutrition-related factors into one nomogram improves the survival prediction for patients with colorectal cancer (CRC). Method This multicenter prospective primary cohort included 1373 patients with CRC, and the internal validation cohort enrolled 409 patients with CRC. Least absolute shrinkage and selection operator regression analyses were used to select prognostic indicators and develop a nomogram. The concordance (C)-index, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to assess the prognostic discriminative ability of the nomogram, TNM stage, Patient-Generated Subjective Global Assessment (PGSGA), and TNM stage + PGSGA models. The overall survival (OS) curve of risk group stratification was calculated based on the nomogram risk score. Results TNM stage, radical resection, reduced food intake, activities and function declined, and albumin were selected to develop the nomogram. The C-index and calibration plots of the nomogram showed good discrimination and consistency for CRC. Additionally, the ROC curves and DCA of the nomogram showed better survival prediction abilities in CRC than the other models. The stratification curves of the different risk groups of the different TNM categories were significantly different. Conclusion The novel nomogram showed good short- and long-term outcomes of OS in patients with CRC. This model provides a personalized and convenient prognostic prediction tool for clinical applications.

Construction and validation of a nomogram for predicting disease-free survival after radical resection of rectal cancer using perioperative inflammatory indicators

“…The higher the stage, the greater the severity of the tumor and the difficulty of treatment. Therefore, TNM staging is applied in many predictive nomograms for colorectal cancer prognosis ( 18 , 19 ). Neural invasion refers to tumor cells invading the nerve sheath or the presence of tumor cells within the nerve sheath, which is associated with tumor invasion, metastasis, cancer-related pain, and poor clinical outcomes.…”

Effect of nutrition impact symptoms on oral nutritional supplements energy intake and use days in patients with head and neck cancer: A cross‐sectional study

“…In this study, the incidence of NIS was 89.7%, and the highest proportion of NIS was no appetite (35.3%), followed by dysphagia (29.4%), vomiting (13.2%) and oral pain (12.5%), which is similar to previous studies. 5,30,31 These symptoms can lead to malnutrition and weight loss, with a potential risk of malabsorption. 32 Studies have shown that loss of appetite had a great influence on dietary intake in HNC patients.…”

Development and validation of pathological nomograms for predicting the prognosis of colorectal cancer patients

“…In addition, CRC patients with the same pathological TNM stage often exhibit signi cantly different prognoses according to various studies (Ng et al, 2019), leading to the inclusion of risk factors such as vascular invasion and extranodal tumor deposits (ENTD) to enhance the predictive power of conventional pathological staging (Ma et al, 2019). This nding suggests that there is room for improvement in the ability of pathological TNM staging to predict CRC patient prognosis (Ruan et al, 2023).…”