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Huang T, Lu F. Prognostic nomogram for predicting the overall survival rate of patients with uterine clear-cell carcinoma: Based on SEER database. Int J Gynaecol Obstet 2024. [PMID: 38444201 DOI: 10.1002/ijgo.15456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 02/14/2024] [Accepted: 02/20/2024] [Indexed: 03/07/2024]
Abstract
OBJECTIVE To evaluate the risk factors for uterine clear-cell carcinoma (UCCC) and construct nomograms predicting 1-, 3-, and 5-year overall survival rates of patients with UCCC. METHODS The demographic and clinical information of 1674 patients diagnosed with UCCC between 2004 and 2015, including age, race, marital status, tumor size, American Joint Committee on Cancer (AJCC) stage, and details of surgery and radiotherapy/chemotherapy, was collected from the Surveillance, Epidemiology, and End Results (SEER) database. After excluding patients with unknown AJCC stage, race, marital status, or lymph node information, 1469 patients remained. Risk factors were determined using univariate and multivariate analyses, and nomograms were developed to predict 1-, 3-, and 5-year overall survival of UCCC. Various indicators were used to evaluate the performance of the nomogram, such as the C-index, net classification improvement (NRI) and decision curve analysis (DCA). RESULTS Age, log odds of positive lymph nodes, AJCC stage, surgery status, and chemotherapy status were independent risk factors for UCCC. The C-indexes of the training group and AJCC stage groups were 0.771 and 0.697, respectively. The results for the area under the receiver operating characteristics curve, NRI, and calibration curves indicated that the nomogram had good predictive ability. DCA revealed that the nomogram had greater clinical applicability than AJCC stage alone. Internal validation using the validation cohort also demonstrated that this nomogram had good predictive performance. CONCLUSION A new nomogram comprising a combination of demographic and clinical characteristics provided better survival predictions than the AJCC staging system alone, which will facilitate prognostic assessments and clinical decision-making.
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Affiliation(s)
- Ting Huang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China
| | - Fan Lu
- Emergency Department, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China
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Li Y, Wu G, Zhang Y, Han B, Yang W, Wang X, Duan L, Niu L, Chen J, Zhou W, Liu J, Fan D, Hong L. Log odds of positive lymph nodes as a novel prognostic predictor for colorectal cancer: a systematic review and meta-analysis. BMC Cancer 2022; 22:290. [PMID: 35303818 PMCID: PMC8932253 DOI: 10.1186/s12885-022-09390-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 03/08/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is the third most prevalent cancer in the world, which remains one of the leading causes of cancer-related deaths. Accurate prognosis prediction of CRC is pivotal to reduce the mortality and disease burden. Lymph node (LN) metastasis is one of the most commonly used criteria to predict prognosis in CRC patients. However, inaccurate surgical dissection and pathological evaluation may lead to inaccurate nodal staging, affecting the effectiveness of pathological N (pN) classification in survival prediction among patients with CRC. In this meta-analysis, we aimed to estimate the prognostic value of the log odds of positive lymph nodes (LODDS) in patients with CRC. METHODS PubMed, Medline, Embase, Web of Science and the Cochrane Library were systematically searched for relevant studies from inception to July 3, 2021. Statistical analyses were performed on Stata statistical software Version 16.0 software. To statistically assess the prognostic effects of LODDS, we extracted the hazard ratio (HR) and 95% confidence interval (CI) of overall survival (OS) and disease-free survival (DFS) from the included studies. RESULTS Ten eligible articles published in English involving 3523 cases were analyzed in this study. The results showed that LODDS1 and LODDS2 in CRC patients was correlated with poor OS compared with LODDS0 (LODDS1 vs. LODDS0: HR = 1.77, 95% CI (1.38, 2.28); LODDS2 vs. LODDS0: HR = 3.49, 95% CI (2.88, 4.23)). Meanwhile, LODDS1 and LODDS2 in CRC patients was correlated with poor DFS compared with LODDS0 (LODDS1 vs. LODDS0: HR = 1.82, 95% CI (1.23, 2.68); LODDS2 vs. LODDS0: HR =3.30, 95% CI (1.74, 6.27)). CONCLUSIONS The results demonstrated that the LODDS stage was associated with prognosis of CRC patients and could accurately predict the prognosis of patients with CRC.
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Affiliation(s)
- Yiding Li
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi Province, 710032, P.R. China
| | - Guiling Wu
- School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Yujie Zhang
- Department of Histology and Embryology, School of Basic Medicine, Xi'an Medical University, Xi'an, 710021, China
| | - Ben Han
- Department of Nutrition, Xinqiao Hospital, Army Military Medical University, Chongqing, 40038, China
| | - Wanli Yang
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi Province, 710032, P.R. China
| | - Xiaoqian Wang
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi Province, 710032, P.R. China
| | - Lili Duan
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi Province, 710032, P.R. China
| | - Liaoran Niu
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi Province, 710032, P.R. China
| | - Junfeng Chen
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi Province, 710032, P.R. China
| | - Wei Zhou
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi Province, 710032, P.R. China
| | - Jinqiang Liu
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi Province, 710032, P.R. China
| | - Daiming Fan
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi Province, 710032, P.R. China
| | - Liu Hong
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi Province, 710032, P.R. China.
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Yang XL, Yang FL, Kou LN, Wu DJ, Xie C. Prognostic model for the exemption of adjuvant chemotherapy in stage IIIC endometrial cancer patients. Front Endocrinol (Lausanne) 2022; 13:989063. [PMID: 36387854 PMCID: PMC9643711 DOI: 10.3389/fendo.2022.989063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 10/05/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND This study aimed to develop a nomogram to predict the survival for stage IIIC endometrial cancer (EC) patients with adjuvant radiotherapy (ART) alone and personalize recommendations for the following adjuvant chemotherapy (ACT). METHODS In total, 746 stage IIIC EC patients with ART alone were selected from the Surveillance, Epidemiology, and End Results (SEER) registry. Cox regression analysis was performed to identify independent risk factors. A nomogram was developed accordingly, and the area under the receiver operating characteristic curve (AUC) and C-index were implemented to assess the predictive power. The patients were divided into different risk strata based on the total points derived from the nomogram, and survival probability was compared between each risk stratus and another SEER-based cohort of stage IIIC EC patients receiving ART+ACT (cohort ART+ACT). RESULTS Five independent predictors were included in the model, which had favorable discriminative power both in the training (C-index: 0.732; 95% CI: 0.704-0.760) and validation cohorts (C-index: 0.731; 95% CI: 0.709-0.753). The patients were divided into three risk strata (low risk <135, 135 ≤ middle risk ≤205, and high risk >205), where low-risk patients had survival advantages over patients from cohort ART+ACT (HR: 0.45, 95% CI: 0.33-0.61, P < 0.001). However, the middle- and high-risk patients were inferior to patients from cohort ART+ACT in survival (P < 0.001). CONCLUSION A nomogram was developed to exclusively predict the survival for stage IIIC EC patients with ART alone, based on which the low-risk patients might be perfect candidates to omit the following ACT. However, the middle- and high-risk patients would benefit from the following ACT.
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Affiliation(s)
- Xi-Lin Yang
- Department of Radiation Oncology, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Feng-Leng Yang
- Department of Radiology, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Ling-Na Kou
- Department of Medical Oncology, Sichuan Cancer Hospital and Institute, Chengdu, China
| | - Da-Jun Wu
- Department of Radiation Oncology, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
- *Correspondence: Cong Xie, ; Da-Jun Wu,
| | - Cong Xie
- Department of Gynecology, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
- *Correspondence: Cong Xie, ; Da-Jun Wu,
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Yang H, Zeng M, Cao S, Jin L. Nomograms predicting prognosis for locally advanced hypopharyngeal squamous cell carcinoma. Eur Arch Otorhinolaryngol 2021; 279:3041-3052. [PMID: 34648051 DOI: 10.1007/s00405-021-07109-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 09/24/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE This study aimed to construct nomograms to predict the overall survival (OS) and cancer-specific survival (CSS) for patients with locally advanced hypopharyngeal squamous cell carcinoma (HSCC). METHODS 864 patients with locally advanced HSCC during 2010-2015 from the surveillance, epidemiology and end results (SEER) database were selected. After classifying continuous data by risk, Cox regression analyses were applied to detect significant independent prognostic factors, with which nomograms were established. To evaluate the value of nomograms, concordance index (C-index), area under the receiver-operating characteristic (ROC) curve (AUC), calibration curves, and decision curve analysis (DCA), Kaplan-Meier analysis was adopted. The efficacy of surgery in different risk groups was also studied to figure out people who can benefit from surgery. RESULTS A total of 864 locally advanced HSCC patients were randomized into the training cohort (n = 608) and the validation cohort (n = 256). Age, race, tumor size, T stage, N stage, primary site, radiotherapy, and chemotherapy were independent prognostic factors for OS and CSS (except race) and formed the nomograms. The nomograms revealed satisfied performance in C-index, AUC, DCA, and calibration curves, and prevailed over American Joint Committee on Cancer (AJCC) TNM staging system in predicting OS and CSS. After risk stratification, patients of low-risk group resulted in the best outcomes. Patients in moderate-risk may benefit from surgery. CONCLUSIONS Convenient and well-calibrated nomograms to predict OS and CSS for III/IVA/IVB-stage HSCC patients were set up and assessed and may do a favor to make clinical decisions.
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Affiliation(s)
- Huiyun Yang
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Mengsi Zeng
- Department of Oncology, The First People's Hospital of Changde, Changde, 415000, China
| | - Sudan Cao
- Department of Oncology, Third Xiangya Hospital, Central South University, Changsha, 410000, China
| | - Long Jin
- Department of Oncology, Third Xiangya Hospital, Central South University, Changsha, 410000, China.
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