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Chang L, Wang Y, Wang Z, Xiao D, Song Q. Number of positive lymph nodes affects oncologic outcomes in cN0 mucoepidermoid carcinoma of the major salivary gland. Sci Rep 2024; 14:9086. [PMID: 38643222 PMCID: PMC11032317 DOI: 10.1038/s41598-024-59757-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 04/15/2024] [Indexed: 04/22/2024] Open
Abstract
The survival significance of the number of positive lymph nodes in salivary gland carcinoma remains unclear. Thus, the current study aimed to determine the effect of the number of positive lymph nodes on disease-specific survival (DSS) and overall survival (OS) in cN0 mucoepidermoid carcinoma (MEC) of the major salivary gland. Patients surgically treated for MEC of the major salivary gland between 1975 and 2019 were retrospectively enrolled from the surveillance, epidemiology, and end results database. The total population was randomly divided into training and test groups (1:1). Primary outcome variables were DSS and OS. Prognostic models were constructed based on the independent prognostic factors determined using univariate and multivariate Cox analyses in the training group and were validated in the test group using C-index. A total of 3317 patients (1624 men and 1693 women) with a mean age of 55 ± 20 years were included. The number of positive lymph nodes was an independent prognostic factor for both DSS and OS, but the effect began when at least two positive lymph nodes for DSS and three positive lymph nodes for OS were found. Predictive models for DSS and OS in the training group had C-indexes of 0.873 (95% confidence interval [CI] 0.853-0.893) and 0.835 (95% CI 0.817-0.853), respectively. The validation of the test group showed C-indexes of 0.877 (95% CI 0.851-0.902) for DSS and 0.820 (95% CI 0.798-0.842) for OS. The number of positive lymph nodes was statistically associated with survival in cN0 major salivary gland MEC. The current prognostic model could provide individualized follow-up strategies for patients with high reliability.
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Affiliation(s)
- Le Chang
- Department of Stomatology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, People's Republic of China
| | - Yingnan Wang
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province CN, Hangzhou, People's Republic of China
| | - Zhen Wang
- Department of Stomatology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, People's Republic of China
| | - Di Xiao
- Department of Stomatology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, People's Republic of China
| | - Qi Song
- Department of Stomatology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, People's Republic of China.
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Zhu R, Gong Z, Dai Y, Shen W, Zhu H. A novel postoperative nomogram and risk classification system for individualized estimation of survival among patients with parotid gland carcinoma after surgery. J Cancer Res Clin Oncol 2023; 149:15127-15141. [PMID: 37633867 DOI: 10.1007/s00432-023-05303-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 08/15/2023] [Indexed: 08/28/2023]
Abstract
BACKGROUND Parotid gland carcinoma (PGC) is a rare but aggressive head and neck cancer, and the prognostic model associated with survival after surgical resection has not yet been established. This study aimed to construct a novel postoperative nomogram and risk classification system for the individualized prediction of overall survival (OS) among patients with resected PGC. METHODS Patients with PGC who underwent surgery between 2004 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database were randomized into training and validation cohorts (7:3). A nomogram developed using independent prognostic factors based on the results of the multivariate Cox regression analysis. Harrell's concordance index (C-index), time-dependent area under the curve (AUC), and calibration plots were used to validate the performance of the nomogram. Moreover, decision curve analysis (DCA) was performed to compare the clinical use of the nomogram with that of traditional TNM staging. RESULTS In this study, 5077 patients who underwent surgery for PGC were included. Age, sex, marital status, tumor grade, histology, TNM stage, surgery type, radiotherapy, and chemotherapy were independent prognostic factors. Based on these independent factors, a postoperative nomogram was developed. The C-index of the proposed nomogram was 0.807 (95% confidence interval 0.797-0.817). Meanwhile, the time-dependent AUC (> 0.8) indicated that the nomogram had a satisfactory discriminative ability. The calibration curves showed good concordance between the predicted and actual probabilities of OS, and DCA curves indicated that the nomogram had a better clinical application value than the traditional TNM staging. Moreover, a risk classification system was built that could perfectly classify patients with PGC into three risk groups. CONCLUSIONS This study constructed a novel postoperative nomogram and corresponding risk classification system to predict the OS of patients with PGC after surgery. These tools can be used to stratify patients with high or low risk of mortality and provide high-risk patients with more directed therapies and closer follow-up.
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Affiliation(s)
- Runqiu Zhu
- Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, 79# Qingchun Road, Hangzhou, 310003, Zhejiang Province, People's Republic of China
- Zhejiang University School of Medicine, Hangzhou, 310058, People's Republic of China
| | - Zhiyuan Gong
- Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, 79# Qingchun Road, Hangzhou, 310003, Zhejiang Province, People's Republic of China
- Zhejiang University School of Medicine, Hangzhou, 310058, People's Republic of China
| | - Yuwei Dai
- Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, 79# Qingchun Road, Hangzhou, 310003, Zhejiang Province, People's Republic of China
- Zhejiang University School of Medicine, Hangzhou, 310058, People's Republic of China
| | - Wenyi Shen
- Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, 79# Qingchun Road, Hangzhou, 310003, Zhejiang Province, People's Republic of China
- Zhejiang University School of Medicine, Hangzhou, 310058, People's Republic of China
| | - Huiyong Zhu
- Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, 79# Qingchun Road, Hangzhou, 310003, Zhejiang Province, People's Republic of China.
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Zhang X, Liu G, Peng X. A Random Forest Model for Post-Treatment Survival Prediction in Patients with Non-Squamous Cell Carcinoma of the Head and Neck. J Clin Med 2023; 12:5015. [PMID: 37568416 PMCID: PMC10419643 DOI: 10.3390/jcm12155015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 07/25/2023] [Accepted: 07/28/2023] [Indexed: 08/13/2023] Open
Abstract
BACKGROUND Compared to squamous cell carcinoma, head and neck non-squamous cell carcinoma (HNnSCC) is rarer. Integrated survival prediction tools are lacking. METHODS 4458 patients of HNnSCC were collected from the SEER database. The endpoints were overall survivals (OSs) and disease-specific survivals (DSSs) of 3 and 5 years. Cases were stratified-randomly divided into the train & validation (70%) and test cohorts (30%). Tenfold cross validation was used in establishment of the model. The performance was evaluated with the test cohort by the receiver operating characteristic, calibration, and decision curves. RESULTS The prognostic factors found with multivariate analyses were used to establish the prediction model. The area under the curve (AUC) is 0.866 (95%CI: 0.844-0.888) for 3-year OS, 0.862 (95%CI: 0.842-0.882) for 5-year OS, 0.902 (95%CI: 0.888-0.916) for 3-year DSS, and 0.903 (95%CI: 0.881-0.925) for 5-year DSS. The net benefit of this model is greater than that of the traditional prediction methods. Among predictors, pathology, involved cervical nodes level, and tumor size are found contributing the most variance to the prediction. The model was then deployed online for easy use. CONCLUSIONS The present study incorporated the clinical, pathological, and therapeutic features comprehensively and established a clinically effective survival prediction model for post-treatment HNnSCC patients.
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Affiliation(s)
- Xin Zhang
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China; (X.Z.); (G.L.)
- Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Guihong Liu
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China; (X.Z.); (G.L.)
- Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Xingchen Peng
- Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
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Moretz-Sohn PF, Dias FL, de Carvalho Marques CM. Minor Salivary Gland Cancer of the Head and Neck: A Review of Epidemiologic Aspects, Prognostic Factors, and Outcomes. Curr Oncol Rep 2023; 25:173-179. [PMID: 36705878 DOI: 10.1007/s11912-022-01356-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/12/2022] [Indexed: 01/28/2023]
Abstract
PURPOSE OF REVIEW Minor salivary gland carcinomas (MiSGC) of the head and neck are a group of rare cancers with significant heterogeneity in histological types and with variable clinical behavior. This study aims to clarify the incidence, epidemiology, predictive factors, and outcome-based survival in a large cohort of patients treated at the Brazilian National Cancer Institute (BNCI) over a 20-year period by comparing and associating the results of current articles on the world stage. RECENT FINDINGS The difficulty in developing an algorithm of treatment is due to the low number of cases when evaluated in a single institution and the variety of histological subtypes that have different behaviors and different treatments according to each anatomical location. We reviewed the experience of tertiary centers for the treatment of head and neck cancer and epidemiological studies from the Surveillance, Epidemiology, and End Results (SEER) database of the National Cancer Institute of the USA. The lack of consensus on the management of MiSGC requires further knowledge about the biological behaviors of these tumors, as the identification of predictive factor of failure and survival to adequate treatment intensity. The growing collaboration of different centers publishing their experience allows us to unify these samples to reach concrete conclusions about these tumors.
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Affiliation(s)
- Paula Fatturi Moretz-Sohn
- Head and Neck Surgery Service, Brazilian National Cancer Institute, Rio de Janeiro, Brazil. .,Head and Neck Surgery Department of Post Graduate School of Medicine, Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil. .,Department of Surgery, Brazilian Navy Hospital Marcilio Dias, Rio de Janeiro, Brazil.
| | - Fernando Luiz Dias
- Head and Neck Surgery Service, Brazilian National Cancer Institute, Rio de Janeiro, Brazil.,Head and Neck Surgery Department of Post Graduate School of Medicine, Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Caroline Mafra de Carvalho Marques
- Head and Neck Surgery Service, Brazilian National Cancer Institute, Rio de Janeiro, Brazil.,Department of Head and Neck Surgery, Brazilian Navy Hospital Marcilio Dias, Rio de Janeiro, Brazil
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Zhu RQ, Zhang YM, Luo XY, Shen WY, Zhu HY. A novel nomogram and risk classification system for predicting overall survival in head and neck squamous cell cancer with distant metastasis at initial diagnosis. Eur Arch Otorhinolaryngol 2023; 280:1467-1478. [PMID: 36316576 DOI: 10.1007/s00405-022-07716-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 10/18/2022] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Head and neck squamous cell carcinoma (HNSCC) is one of the most invasive cancer types globally, and distant metastasis (DM) is associated with a poor prognosis. The objective of this study was designed to construct a novel nomogram and risk classification system to predict overall survival (OS) in HNSCC patients presenting with DM at initial diagnosis. METHODS HNSCC patients with initially diagnosed DM between 2010 and 2015 were collected from the Surveillance, Epidemiology, and End Results (SEER) database. Firstly, all patients were randomly assigned to a training cohort and validation cohort (8:2), respectively. The Cox proportional hazards regression model was used to analyze the prognostic factors associated with OS. Then, the nomogram based on the prognostic factors and the predictive ability of the nomogram were assessed by the calibration curves, receiver operating characteristic (ROC) curves and decision curve analysis (DCA). Finally, a risk classification system was established according to the nomogram scores. RESULTS A total of 1240 patients initially diagnosed with HNSCC with DM were included, and the 6-, 12- and 18-month OS of HNSCC with DM were 62.7%, 40.8% and 30%, respectively. The independent prognostic factors for HNSCC patients with DM included age, marital status, primary site, T stage, N stage, bone metastasis, brain metastasis, liver metastasis, lung metastasis, surgery, radiotherapy and chemotherapy. Based on the independent prognostic factors, a nomogram was constructed to predict OS in HNSCC patients with DM. The C-index values of the nomogram were 0.713 in the training cohort and 0.674 in the validation cohort, respectively. The calibration curves and DCA also indicated the good predictability of the nomogram. Finally, a risk classification system was built and it revealed a statistically significant difference among the three groups of patients according to the nomogram scores. CONCLUSIONS Factors associated with the overall survival of HNSCC patients with DM were found. According to the identified factors, we generated a nomogram and risk classification system to predict the OS of patients with initially diagnosed HNSCC with DM. The prognostic nomogram and risk classification system can help to assess survival time and provide guidance when making treatment decisions for HNSCC patients with DM.
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Affiliation(s)
- Run-Qiu Zhu
- Department of Oral and Maxillofacial Surgery, First Affiliated Hospital, College of Medicine, Zhejiang University, 79# Qingchun Road, Hangzhou, 310003, Zhejiang, People's Republic of China
- Zhejiang University School of Medicine, Hangzhou, China
| | - Ya-Min Zhang
- Department of Oral and Maxillofacial Surgery, First Affiliated Hospital, College of Medicine, Zhejiang University, 79# Qingchun Road, Hangzhou, 310003, Zhejiang, People's Republic of China
- Zhejiang University School of Medicine, Hangzhou, China
| | - Xia-Yan Luo
- Department of Oral and Maxillofacial Surgery, First Affiliated Hospital, College of Medicine, Zhejiang University, 79# Qingchun Road, Hangzhou, 310003, Zhejiang, People's Republic of China
- Zhejiang University School of Medicine, Hangzhou, China
| | - Wen-Yi Shen
- Department of Oral and Maxillofacial Surgery, First Affiliated Hospital, College of Medicine, Zhejiang University, 79# Qingchun Road, Hangzhou, 310003, Zhejiang, People's Republic of China
- Zhejiang University School of Medicine, Hangzhou, China
| | - Hui-Yong Zhu
- Department of Oral and Maxillofacial Surgery, First Affiliated Hospital, College of Medicine, Zhejiang University, 79# Qingchun Road, Hangzhou, 310003, Zhejiang, People's Republic of China.
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MicroRNAs’ Crucial Role in Salivary Gland Cancers’ Onset and Prognosis. Cancers (Basel) 2022; 14:cancers14215304. [PMID: 36358723 PMCID: PMC9657964 DOI: 10.3390/cancers14215304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 10/22/2022] [Accepted: 10/24/2022] [Indexed: 12/03/2022] Open
Abstract
Simple Summary Salivary gland cancers are incredibly heterogeneous, both in the physical onset and in the aggressiveness. Setting up a novel diagnostic and prognostic detection method based on the noninvasive microRNAs’ profiling might represent a goal for the clinical management of those particular malignancies, saving precious time for the patients. Abstract Salivary gland cancer (SGC) is an uncommon and heterogeneous disease that accounts for around 8.5% of all head and neck cancers. MicroRNAs (miRNAs) consist of a class of highly conserved, short, single-stranded segments (18–25 nucleotides) of noncoding RNA that represent key gene-transcription regulators in physiological and pathological human conditions. However, their role in SGC development and progression is not completely clear. This review aims to compile and summarize the recent findings on the topic, focusing on the prognostic and diagnostic value of the major modulated and validated microRNAs in SGC. Their differential expression could possibly aid the clinician in delivering an early diagnosis, therapeutic strategy and precision medicine.
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Li X, Xu H, Yan L, Gao J, Zhu L. A Novel Clinical Nomogram for Predicting Cancer-Specific Survival in Adult Patients After Primary Surgery for Epithelial Ovarian Cancer: A Real-World Analysis Based on the Surveillance, Epidemiology, and End Results Database and External Validation in a Tertiary Center. Front Oncol 2021; 11:670644. [PMID: 33959514 PMCID: PMC8093627 DOI: 10.3389/fonc.2021.670644] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 03/30/2021] [Indexed: 12/18/2022] Open
Abstract
Background The present study aimed to construct and validate a nomogram that can be used to predict cancer-specific survival (CSS) in patients with epithelial ovarian cancer (EOC). Methods A total of 7,129 adult patients with EOC were extracted from the Surveillance, Epidemiology, and End Results database between 2010 and 2015. Patients were randomly divided into the training and validation cohorts (7:3). Cox regression was conducted to evaluate prognostic factors of CSS. The internal validation of the nomogram was performed using concordance index (C-index), AUC, calibration curves, and decision curve analyses (DCAs). Data from 53 adult EOC patients at Shengjing Hospital of China Medical University from 2008 to 2012 were collected for external verification. Kaplan-Meier curves were plotted to compare survival outcomes among risk subgroups. Results Age, grade, histological types, stage, residual lesion size, number of regional lymph nodes resected, number of positive lymph nodes, and chemotherapy were independent risk factors for CSS. Based on the above factors, we constructed a nomogram. The C-indices of the training cohort, internal validation cohort, and external verification group were 0.763, 0.750, and 0.920, respectively. The calibration curve indicated good agreement between the nomogram prediction and actual survival. AUC and DCA results indicated great clinical usefulness of the nomogram. The differences in the Kaplan-Meier curves among different risk subgroups were statistically significant. Conclusions We constructed a nomogram to predict CSS in adult patients with EOC after primary surgery, which can assist in counseling and guiding treatment decision making.
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Affiliation(s)
- Xianli Li
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Haoya Xu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Limei Yan
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jian Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Liancheng Zhu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
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