Effects of marital status on survival of hepatocellular carcinoma by race/ethnicity and gender

Wu, Wenrui; Fang, Daiqiong; Shi, Ding; Bian, Xiaoyuan; Li, Lanjuan

doi:10.2147/cmar.s142019

Cited by 14 publications

(9 citation statements)

References 32 publications

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“…Moreover, married patients had superior OS than their unmarried competitors. One explanation for this could be the difference in health-care seeking behavior between married and unmarried patients 33,34…”

Section: Discussionmentioning

confidence: 99%

Nomograms for predicting survival outcomes in patients with primary tracheal tumors: a large population-based analysis

Wen¹,

Liu²,

Xu³

et al. 2018

CMAR

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BackgroundThe aim of this study was to develop and validate reliable nomograms to predict individual overall survival (OS) and cancer-specific survival (CSS) for patients with primary tracheal tumors and further estimate the role of postoperative radiotherapy (PORT) for these entities.Patients and methodsA total of 405 eligible patients diagnosed between 1988 and 2015 were selected from the Surveillance, Epidemiology, and End Results database. All of them were randomly divided into training (n=303) and validation (n=102) sets. For the purpose of establishing nomograms, the Akaike information criterion was employed to select significant prognostic factors in multivariate Cox regression models. Both internal and external validations of the nomograms were evaluated by Harrell’s concordance index (C-index) and calibration plots. Propensity score matching (PSM) method was performed to reduce the influence of selection bias between the PORT group and the non-PORT group.ResultsTwo nomograms shared common variables including age at diagnosis, histology, N and M stages, tumor size, and treatment types, while gender was only incorporated in the CSS nomogram. The C-indices of OS and CSS nomograms were 0.817 and 0.813, displaying considerable predictive accuracy. The calibration curves indicated consistency between the nomograms and the actual observations. When the nomograms were applied to the validation set, the results remained reconcilable. Moreover, the nomograms showed superiority over the Bhattacharyya’s staging system with regard to the C-indices. After PSM, PORT was not associated with significantly better OS or CSS. Only squamous cell carcinoma (SCC) patients in the PORT group had improved OS compared to non-PORT group.ConclusionThe first two nomograms for predicting survival in patients with primary tracheal tumors were proposed in the present study. PORT seems to improve the prognosis of SCC patients, which needs further exploration.

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Section: Discussionmentioning

confidence: 99%

Nomograms for predicting survival outcomes in patients with primary tracheal tumors: a large population-based analysis

Wen¹,

Liu²,

Xu³

et al. 2018

CMAR

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“…Hepatocellular carcinoma (HCC) is the fifth most frequently occurring cancer and the third leading cause of cancer-related death. 1 , 2 Most patients are found in the advanced stage, and the prognosis of HCC is extremely poor due to the frequent metastasis, relapse, and chemotherapy resistance. 3 – 5 Therefore, understanding the molecular mechanisms underlying the initiation and development of HCC may lead to the improvement of clinical treatment.…”

Section: Introductionmentioning

confidence: 99%

miR-517a promotes Warburg effect in HCC by directly targeting FBP1

Zhang

Zhu

et al. 2018

OTT

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PurposeHepatocellular carcinoma (HCC) is one of the most aggressive malignancies worldwide. Our aim is to explore the expression and biological function of miR-517a in HCC.Materials and methodsWe performed qRT-PCR to detect the expression of miR-517a in clinical samples and cell lines. CKK-8 assay and colony formation assay were employed to detect the miR-517a regulated cell proliferation. Glucose uptake and lactate production were examined to determine the Warburg effect. We also performed ECAR assay using Seahorse system. Luciferase acitivy assay was used to examine the binding of FBP1 3′UTR by miR-517a.ResultsmiR-517a was upregulated in HCC samples in both genomic and mRNA levels. Moreover, overexpression of miR-517a promoted cell proliferation and Warburg effect. Mechanically, miR-517a could directly target the 3′-UTR of FBP1. In addition, restoring the expression of FBP1 inhibited cell growth.ConclusionWe demonstrated that miR-517a acts as an oncogene to promote Warburg effect in HCC, favoring tumor growth, and miR-517a/FBP1 could be a novel target for HCC treatment.

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“…Previous research showed that marital status is one factor affecting prognosis [22,23] ; this may be because a close and cohesive family increases the likelihood of adherence, and psychological and economic support from spouses may contribute to improvements in survival in married patients [24][25][26] . Furthermore, several studies based on the SEER database indicated that HCC patients who were married had a better prognosis [27][28][29] . However, our competitive risk analysis showed that marital status was signi cantly associated with well OS but not CSS.…”

Section: Discussionmentioning

confidence: 99%

Prognostic models for predicting overall and cancer-specific survival in hepatocellular carcinoma: A competing risk analysis

Lin¹,

Huang²,

Ding³

et al. 2020

Preprint

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Objectives This study was conducted to estimate the probability of cancer-specific survival (CSS) of HCC and establish a competing risk nomogram for predicting the CSS of HCC using a large population-based cohort. Methods Patients diagnosed with HCC between 2004 and 2015 were identified from the Surveillance Epidemiology and End Results Program. The CSS and overall survival (OS) were the endpoints of the study. A competing risk nomogram for predicting CSS was built with Fine and Gray’s competing risk model, and the nomogram for predicting OS was constructed with Cox proportional hazard regression models. The predictive performance of the model was tested in terms of discrimination and calibration. Results A total of 34,957 patients were included in the study and randomly divided into a training set and validation set at a ratio of 9:1. Multivariate analysis identified age, race, sex, surgical therapy, chemotherapy, radiotherapy, tumour diameter, and tumour staging as independent predictive factors of CSS. Additionally, marital status was identified as an independent predictive factor of OS. Using these factors, corresponding nomograms were constructed for CSS and OS. In the validation set, the concordance-index of the two nomogram models reached 0.810 and 0.750, respectively. Calibration curves revealed good consistency between the prediction of models and observed outcome. Furthermore, cumulative incidence function analysis and Kaplan-Meier analysis divided patients into four distinct risk subgroups, supporting the predictive performance of the models. Conclusions In this population-based analysis, we developed and validated nomograms for individualized prediction of CSS and OS in patients with HCC.

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Effects of marital status on survival of hepatocellular carcinoma by race/ethnicity and gender

Cited by 14 publications

References 32 publications

Nomograms for predicting survival outcomes in patients with primary tracheal tumors: a large population-based analysis

Nomograms for predicting survival outcomes in patients with primary tracheal tumors: a large population-based analysis

miR-517a promotes Warburg effect in HCC by directly targeting FBP1

Prognostic models for predicting overall and cancer-specific survival in hepatocellular carcinoma: A competing risk analysis

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