Development and validation of prognostic nomograms in patients with ascending type of nasopharyngeal carcinoma: Retrospective study based on <scp>SEER</scp> database

Chen, Kai‐Hua; Jiang, Yuting; Zhao, Rong; Sun, Yongchu; Zhu, Xiao‐Dong

doi:10.1002/hed.27172

Cited by 3 publications

(1 citation statement)

References 23 publications

(48 reference statements)

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“…In addition, lower histological grade, early SEER stage, negative node status, smaller tumor size, surgery at the primary site, and receiving chemotherapy were identified as independent favorable prognostic predictors for OS and CSS in elderly PDAC patients in the matched population. Histological grade, tumor stage, node status and tumor size are histological and biological characteristics of malignant neoplasms, which have been confirmed as prognostic features for OS in multiple malignancies, including PDAC[ 24 - 26 ]. Our results were consistent with those of previous studies[ 12 , 23 , 27 ], which have suggested that older patients are less likely than younger patients to accept or be prescribed surgical treatment that might extend their lives.…”

Section: Discussionmentioning

confidence: 99%

Survival benefits and disparities in radiation therapy for elderly patients with pancreatic ductal adenocarcinoma

Cao¹,

Wang²,

Zhang³

et al. 2023

World J Gastrointest Oncol

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BACKGROUND Older patients represent a unique subgroup of the cancer patient population, for which the role of cancer therapy requires special consideration. However, the outcomes of radiation therapy (RT) in elderly patients with pancreatic ductal adenocarcinoma (PDAC) are not well-defined in the literature. AIM To explore the use and effectiveness of RT in the treatment of elderly patients with PDAC in clinical practice. METHODS Data from patients with PDAC aged ≥ 65 years between 2004 and 2018 were collected from the Surveillance, Epidemiology, and End Results database. Multivariate logistic regression analysis was performed to determine factors associated with RT administration. Overall survival (OS) and cancer-specific survival (CSS) were evaluated using the Kaplan–Meier method with the log-rank test. Univariate and multivariate analyses with the Cox proportional hazards model were used to identify prognostic factors for OS. Propensity score matching (PSM) was applied to balance the baseline characteristics between the RT and non-RT groups. Subgroup analyses were performed based on clinical characteristics. RESULTS A total of 12245 patients met the inclusion criteria, of whom 2551 (20.8%) were treated with RT and 9694 (79.2%) were not. The odds of receiving RT increased with younger age, diagnosis in an earlier period, primary site in the head, localized disease, greater tumor size, and receiving chemotherapy (all P < 0.05). Before PSM, the RT group had better outcomes than did the non-RT group [median OS, 14.0 vs 6.0 mo; hazard ratio (HR) for OS: 0.862, 95% confidence interval (CI): 0.819–0.908, P < 0.001; and HR for CSS: 0.867, 95%CI: 0.823–0.914, P < 0.001]. After PSM, the survival benefit associated with RT remained comparable (median OS: 14.0 vs 11.0 mo; HR for OS: 0.818, 95%CI: 0.768–0.872, P < 0.001; and HR for CSS: 0.816, 95%CI: 0.765–0.871, P < 0.001). Subgroup analysis revealed that the survival benefits (OS and CSS) of RT were more significant in patients aged 65 to 80 years, in regional and distant stages, with no surgery, and receiving chemotherapy. CONCLUSION RT improved the outcome of elderly patients with PDAC, particularly those aged 65 to 80 years, in regional and distant stages, with no surgery, and who received chemotherapy. Further prospective studies are warranted to validate our results.

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Section: Discussionmentioning

confidence: 99%

Survival benefits and disparities in radiation therapy for elderly patients with pancreatic ductal adenocarcinoma

Cao¹,

Wang²,

Zhang³

et al. 2023

World J Gastrointest Oncol

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Developing a nomogram model and prognostic analysis of nasopharyngeal squamous cell carcinoma patients: a population-based study

Liu,

Wang

2023

J Cancer Res Clin Oncol

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BackgroundNasopharyngeal squamous cell carcinoma (NPSCC) is a common histo-logical subtype of nasopharyngeal cancer with a generally poor prognosis. The aim of this study is to identify factors affecting the survival prognosis of NPSCC patients and develop a specialized nomogram model. MethodsWe extracted clinical data of 1235 diagnosed cases of NPSCC from the SEER database using SEER*Stat software. Univariate and multivariate Cox proportional hazards regression analyses were conducted to explore clinical factors that impact the prognosis of NPSCC patients. Based on signi cant independent factors, we developed a nomogram to predict the 1, 3, and 5 years overall survival rates. The discriminative and predictive abilities of the nomogram were evaluated using C-index, calibration curve, area under the curve (AUC), and receiver operating characteristic curve. We evaluated the clinical value of the nomogram using decision curve analysis (DCA) and clinical impact curve (CIC). ResultsWe performed a cohort analysis on 846 patients with nasopharyngeal cancer in the training cohort.Multivariate Cox regression analysis revealed age, race, marital status, primary tumor, radiation therapy, chemotherapy, SJCC stage, primary tumor size, Lung metastasis and brain metastasis as independent prognostic factors for NPSCC patients, which we used to construct the nomogram prediction model. The C-index of the training cohort was 0.737. The ROC curve analysis indicated that the AUC of the OS rate at 1, 3, and 5 years in the training cohort was > 0.75. The calibration curves of the two cohorts showed good consistency between the predicted and observed results. DCA and CIC demonstrated that the nomogram prediction model had good clinical bene ts. ConclusionsThe nomogram risk prediction model for NPSCC patient survival prognosis, constructed in this study, has exhibited excellent predictive capability. This model can be employed for swift and precise assessment of individualized survival prognosis. It can offer valuable guidance to clinical physicians in diagnosing and treating NPSCC patients.

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Developing a Nomogram Model and Prognostic Analysis of Nasopharyngeal Squamous Cell Carcinoma Patients: A Population-Based Study

Liu,

Wang

2023

Preprint

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Background Nasopharyngeal squamous cell carcinoma (NPSCC) is a common histo-logical subtype of nasopharyngeal cancer with a generally poor prognosis. The aim of this study is to identify factors affecting the survival prognosis of NPSCC patients and develop a specialized nomogram model. Methods We extracted clinical data of 1235 diagnosed cases of NPSCC from the SEER database using SEER*Stat software. Univariate and multivariate Cox proportional hazards regression analyses were conducted to explore clinical factors that impact the prognosis of NPSCC patients. Based on significant independent factors, we developed a nomogram to predict the 1, 3, and 5 years overall survival rates. The discriminative and predictive abilities of the nomogram were evaluated using C-index, calibration curve, area under the curve (AUC), and receiver operating characteristic curve. We evaluated the clinical value of the nomogram using decision curve analysis (DCA) and clinical impact curve (CIC). Results We performed a cohort analysis on 846 patients with nasopharyngeal cancer in the training cohort. Multivariate Cox regression analysis revealed age, race, marital status, primary tumor, radiation therapy, chemotherapy, SJCC stage, primary tumor size, Lung metastasis and brain metastasis as independent prognostic factors for NPSCC patients, which we used to construct the nomogram prediction model. The C-index of the training cohort was 0.737. The ROC curve analysis indicated that the AUC of the OS rate at 1, 3, and 5 years in the training cohort was > 0.75. The calibration curves of the two cohorts showed good consistency between the predicted and observed results. DCA and CIC demonstrated that the nomogram prediction model had good clinical benefits. Conclusions The nomogram risk prediction model for NPSCC patient survival prognosis, constructed in this study, has exhibited excellent predictive capability. This model can be employed for swift and precise assessment of individualized survival prognosis. It can offer valuable guidance to clinical physicians in diagnosing and treating NPSCC patients.

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Development and validation of prognostic nomograms in patients with ascending type of nasopharyngeal carcinoma: Retrospective study based on SEER database

Cited by 3 publications

References 23 publications

Survival benefits and disparities in radiation therapy for elderly patients with pancreatic ductal adenocarcinoma

Survival benefits and disparities in radiation therapy for elderly patients with pancreatic ductal adenocarcinoma

Developing a nomogram model and prognostic analysis of nasopharyngeal squamous cell carcinoma patients: a population-based study

Developing a Nomogram Model and Prognostic Analysis of Nasopharyngeal Squamous Cell Carcinoma Patients: A Population-Based Study

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