Construction and validation a nomogram to predict overall survival for colorectal signet ring cell carcinoma

Diao, Jiandong; Ma, Lifang; Wu, Chunjiao; Liu, Xianhong; Su, Xiaoyun; Bi, Hong-Yu; Bao, Bo‐Ying; Yan, Haowei; Shi, Lei; Yang, Yongjing

doi:10.1038/s41598-021-82978-8

Cited by 7 publications

(9 citation statements)

References 36 publications

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“…Compared to other types of CRC, SRCC tends to have a poorer prognosis, with early onset, right-sidedness, and peritoneal metastasis [ 37 ]. Although the nature of SRCC is significantly aggressive and the prognosis or treatment of SRCC is difficult to predict, other studies have reported that surgery and adjuvant chemotherapy still have a significant role in improving the survival of patients with SRCC [ 4 , 38 ]. Therefore, we need to consider active surgery and chemotherapy for CRC patients with SRCC, even those who are underweight.…”

Section: Discussionmentioning

confidence: 99%

Nomogram for predicting the overall survival of underweight patients with colorectal cancer: a clinical study

Bong

et al. 2023

BMC Gastroenterol

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Background An underweight individual is defined as one whose Body Mass Index (BMI) is < 18.5 kg/m2. Currently, the prognosis in patients with colorectal cancer (CRC) who are also underweight is unclear. Methods Information on South Korean patients who underwent curative resection for CRC without distant metastasis was collected from health insurance registry data between January 2014 and December 2016. We compared the overall survival (OS) of underweight and non-underweight (BMI ≥ 18.5 kg/m2) patients after adjusting for confounders using propensity score matching. A nomogram to predict OS in the underweight group was constructed using the significant risk factors identified in multivariate analysis. The predictive and discriminative capabilities of the nomogram for predicting 3- and 5-year OS in the underweight group were validated and compared with those of the tumor, node, and metastasis (TNM) staging system in the training and validation sets. Results A total of 23,803 (93.6%) and 1,644 (6.4%) patients were assigned to the non-underweight and underweight groups, respectively. OS was significantly worse in the underweight group than in the non-underweight group for each pathological stage (non-underweight vs. underweight: stage I, 90.1% vs. 77.1%; stage IIA, 85.3% vs. 67.3%; stage IIB/C, 74.9% vs. 52.1%; and stage III, 73.2% vs. 59.4%, P < 0.001). The calibration plots demonstrated that the nomogram exhibited satisfactory consistency with the actual results. The concordance index (C-index) and area under the receiver operating characteristic curve (AUC) of the nomogram exhibited better discriminatory capability than those of the TNM staging system (C-index, nomogram versus TNM staging system: training set, 0.713 versus 0.564, P < 0.001; validation set, 0.691 versus 0.548, P < 0.001; AUC for 3- and 5- year OS, nomogram versus TNM staging system: training set, 0.748 and 0.741 versus 0.610 and 0.601; validation set, 0.715 and 0.753 versus 0.586 and 0.579, respectively). Conclusions Underweight patients had worse OS than non-underweight patients for all stages of CRC. Our nomogram can guide prognostic predictions and the treatment plan for underweight patients with CRC.

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Section: Discussionmentioning

confidence: 99%

Nomogram for predicting the overall survival of underweight patients with colorectal cancer: a clinical study

Bong

et al. 2023

BMC Gastroenterol

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“…[31] Chemotherapy has been also recognized to be the factor to independently predict overall survival for colorectal SRCC. [28] Our study has several advantages. The SEER database covers data from 18 medical centers, representing the diverse populations.…”

Section: Discussionmentioning

confidence: 99%

A nomogram for the prediction of survival for colorectal signet ring cell carcinoma after surgery: A population-based study

Zhou,

Yang,

Han

et al. 2023

Medicine

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The aim was to construct and verify a nomogram-based assessment of cancer-specific survival (CSS) in patients with colorectal signet ring cell carcinoma after surgery. Patients were collected from Surveillance, Epidemiology, and End Results program between 2004 and 2015. Independent prognostic indicators were determined in the training cohort by Cox regression model. We identified 2217 eligible patients, who were further categorized into the training set (n = 1693) as well as the validation set (n = 524). Multivariate analysis revealed that age at diagnosis, gender, grade, tumor size, T stage, N stage, and M stage were independent predictive indicators. Then, the above 7 predictive factors were incorporated into a nomogram model to assess CSS, which showed good calibration and discrimination capacities in both sets. Both internal and external calibration plot diagrams revealed that the actual results were consistent with the predicted outcomes. The time-independent area under the curves for 3-year and 5-year CSS in the nomogram were larger than American Joint Committee on Cancer and Surveillance, Epidemiology, and End Results summary stage system. Moreover, decision curve analysis indicated the clinical utility of the nomogram. The nomogram demonstrated favorable predictive accuracy of survival in colorectal signet ring cell carcinoma patients after surgery, which should be further confirmed before clinical implementation.

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“…Based on these results, we constructed a nomogram to predict LTSs, which is an easy-to-use and visual tool for clinical use. As shown in Figure 2 , primary tumor treatment exerted the largest impact on the possibility of being LTSs, indicating the significant role of surgery in localized or locally advanced colorectal SRCC [ 23 ], especially in the era of multidisciplinary treatment of colorectal SRCC [ 24 ]. Other parameters (including race, marital status, T stage, and N stage) had relatively smaller effects.…”

Section: Discussionmentioning

confidence: 99%

Predictors of Long-Time Survivors in Nonmetastatic Colorectal Signet Ring Cell Carcinoma: A Large Population-Based Study

Zhang

Gong

et al. 2022

Gastroenterology Research and Practice

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Background. Colorectal signet ring cell carcinoma (SRCC) is a rare and distinct subtype of colorectal cancer (CRC), with extremely poor prognosis and aggressive tumor biological behavior. In this study, we aimed to analyze the clinicopathological characteristics and to identify the independent predictors of long-time survivors (LTSs) of nonmetastatic colorectal SRCC. Methods. Patients diagnosed with nonmetastatic colorectal SRCC were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. We compared and analyzed the clinicopathological characteristics between LTSs (patients survived over 5 years) and non-LTSs (patients survived of or less than 5 years). Afterwards, multivariate logistic regression analysis was used to identify independent predictors of LTSs, which were further used to construct a nomogram model to predict the probability of being LTSs. Results. We enrolled 2050 patients with nonmetastatic colorectal SRCC, consisting of 1441 non-LTSs and 609 LTSs. Multivariate logistic regression analysis revealed that race, marital status, tumor infiltration, lymph node involvement, and primary tumor treatment were independent predictors of LTSs. In addition, these five parameters were incorporated into a nomogram model to predict the probability of being LTSs. In terms of the model performance, the calibration curve revealed good agreement between observed and predicted probability of LTSs, and receiving operator characteristic curve showed acceptable discriminative capacity in the training and validation cohorts. Conclusion. Collectively, we analyzed and profiled the clinicopathological characteristics of LTSs in patients with nonmetastatic colorectal SRCC. Race, marital status, T stage, N stage, and primary tumor treatment were independent predictors of LTSs.

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Construction and validation a nomogram to predict overall survival for colorectal signet ring cell carcinoma

Cited by 7 publications

References 36 publications

Nomogram for predicting the overall survival of underweight patients with colorectal cancer: a clinical study

Nomogram for predicting the overall survival of underweight patients with colorectal cancer: a clinical study

A nomogram for the prediction of survival for colorectal signet ring cell carcinoma after surgery: A population-based study

Predictors of Long-Time Survivors in Nonmetastatic Colorectal Signet Ring Cell Carcinoma: A Large Population-Based Study

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