Nomograms to predict survival of stage IV tongue squamous cell carcinoma after surgery

Sun, Wei; Cheng, Ming; Zhuang, Shaohui; Chen, Huimin; Yang, Shaohui; Qiu, Zeting

doi:10.1097/md.0000000000016206

Cited by 11 publications

(29 citation statements)

References 32 publications

(33 reference statements)

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“…Nonetheless, this nomogram accurately predicted survival in OTSCC. For T4 OTSCC, Sun and colleagues reviewed again the SEER database and identified 1550 patients 12 . Age, race, marital status, tumor site, UICC/AJCC TNM status and RT were recognized as independent prognostic factors associated with OS as well as cancer‐specific survival.…”

Section: Discussionmentioning

confidence: 99%

“…[6][7][8][9][10] In literature, nomograms prognosticating OTSCC have been described. [11][12][13] Of these, some do not incorporate depth of invasion (DOI) and other valuable pathological information, while others do not measure all endpoints, and none of them are based on the 8th edition of the UICC/AJCC staging system. As a result, none of them can be reliably applied in a clinical context.…”

Section: Introductionmentioning

confidence: 99%

“…Nomograms have been considered to be user‐friendly tools for prediction, and they have been proved to be more effective than the traditional staging system in several human cancers 6‐10 . In literature, nomograms prognosticating OTSCC have been described 11‐13 . Of these, some do not incorporate depth of invasion (DOI) and other valuable pathological information, while others do not measure all endpoints, and none of them are based on the 8th edition of the UICC/AJCC staging system.…”

Section: Introductionmentioning

confidence: 99%

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Predictive nomograms for oral tongue squamous cell carcinoma applying the American Joint Committee on Cancer/Union Internationale Contre le Cancer 8th edition staging system

et al. 2021

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Background: Nomograms applying the 8th edition of the TNM staging system aimed at predicting overall (OS), disease-specific (DSS), locoregional recurrence-free (LRRFS) and distant recurrence-free survivals (DRFS) for oral tongue squamous cell carcinoma (OTSCC) are still lacking. Methods: A training cohort of 438 patients with OTSCC was retrospectively enrolled from a single institution. An external validation set of 287 patients was retrieved from two independent institutions. Results: Internal validation of the multivariable models for OS, DSS, DRFS and LRRFS showed a good calibration and discrimination results with optimism-corrected c-indices of 0.74, 0.75, 0.77 and 0.70, respectively. The external validation confirmed the good performance of OS, DSS and DRFS

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Predictive nomograms for oral tongue squamous cell carcinoma applying the American Joint Committee on Cancer/Union Internationale Contre le Cancer 8th edition staging system

et al. 2021

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“…Among these, 66 match our eligibility criteria and were furtherly assessed by full-text reading. At the end of selection process, 6 articles were considered suitable for inclusion in this systematic review [ 20 , 21 , 22 , 23 , 24 , 25 ]. Details on the selection process and reasons for exclusion are shown on Figure 1 .The value of k-statistic resulted 0.87, indicating an excellent level of agreement between reviewers.…”

Section: Resultsmentioning

confidence: 99%

Development and Validation of Prognostic Models for Oral Squamous Cell Carcinoma: A Systematic Review and Appraisal of the Literature

Russo

Mariani

Caponio

et al. 2021

Cancers

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(1) Background: An accurate prediction of cancer survival is very important for counseling, treatment planning, follow-up, and postoperative risk assessment in patients with Oral Squamous Cell Carcinoma (OSCC). There has been an increased interest in the development of clinical prognostic models and nomograms which are their graphic representation. The study aimed to revise the prognostic performance of clinical-pathological prognostic models with internal validation for OSCC. (2) Methods: This systematic review was performed according to the Cochrane Handbook for Diagnostic Test Accuracy Reviews chapter on searching, the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines, and the Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS). (3) Results: Six studies evaluating overall survival in patients with OSCC were identified. All studies performed internal validation, while only four models were externally validated. (4) Conclusions: Based on the results of this systematic review, it is possible to state that it is necessary to carry out internal validation and shrinkage to correct overfitting and provide an adequate performance for optimism. Moreover, calibration, discrimination and nonlinearity of continuous predictors should always be examined. To reduce the risk of bias the study design used should be prospective and imputation techniques should always be applied to handle missing data. In addition, the complete equation of the prognostic model must be reported to allow updating, external validation in a new context and the subsequent evaluation of the impact on health outcomes and on the cost-effectiveness of care.

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“…Some nomograms reported in the previous studies assessed the association of preoperative lymphocyte-to-monocyte ratio or some other clinical features with survival in patients with OSCC [18][19][20]. Apart from those studies, there have been some other prognostic nomograms based on mRNA expression profiles from the public databases that improved predicting the prognosis of patients with OSCC [21][22][23]. All of these studies showed promising prospects in clinical applications.…”

Section: Discussionmentioning

confidence: 99%

Development and Validation of a Nomogram based on cell growth-related Biomarkers for Oral Squamous Cell Carcinoma

Shuai¹,

Duan²,

Zhou³

et al. 2021

J. Cancer

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We aimed to develop a prognostic nomogram based on immunohistochemistry (IHC) biomarkers of patients with oral squamous cell carcinoma (OSCC). Methods: A total of 294 patients were enrolled in the study. The least absolute shrinkage and selection operator (LASSO) Cox regression model was performed to develop a combined IHC score (IHCs) classifier.Results: Five biomarkers, specifically c-Met, Vimentin, HIF-2α, VEGF-c, and Bcl-2 were extracted. Then, an IHCs classifier was developed, and patients were stratified into high-and low-IHCs groups. In the training cohort, the 5-year overall survival (OS) was 62.1% in low-IHCs group and 28.2% in high-IHCs group (P<0.001).The 5-year OS was 68.6% for the low-IHCs group and 28.4% for the high-IHCs group in the validation cohort (P<0.001). The area under the ROC curve (AUROC) of the combination of the IHCs classifier and TNM stage was 0.746 (95% CI: 0.658-0.833) in the training cohort and 0.735 (95% CI: 0.651-0.818) in the validation cohort, respectively. Conclusions: The nomogram could effectively predict the prognosis for patients with OSCC and may be employed as a potential tool to guide the individual decision-making process.

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Nomograms to predict survival of stage IV tongue squamous cell carcinoma after surgery

Abstract: Supplemental Digital Content is available in the text

Cited by 11 publications

References 32 publications

Predictive nomograms for oral tongue squamous cell carcinoma applying the American Joint Committee on Cancer/Union Internationale Contre le Cancer 8th edition staging system

Predictive nomograms for oral tongue squamous cell carcinoma applying the American Joint Committee on Cancer/Union Internationale Contre le Cancer 8th edition staging system

Development and Validation of Prognostic Models for Oral Squamous Cell Carcinoma: A Systematic Review and Appraisal of the Literature

Development and Validation of a Nomogram based on cell growth-related Biomarkers for Oral Squamous Cell Carcinoma

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