Literature DB >> 30554272

Incorporating non-biological factors into the TNM staging system for better prognostication and decision-making in testicular cancer.

Yongqiang Huang1,2, Haoyue Sheng1,2, Junyu Zhang1,2, Qi Liu2,3, Dingwei Ye4,5, Guohai Shi6,7.   

Abstract

BACKGROUND: We combined county-level socioeconomic status (SES), marital status and insurance status to introduce NBF-stage, which were further incorporated into the American Joint Committee on Cancer (AJCC) TNM staging system to generate an integrated staging system for better prognostication and decision-making for testicular cancer patients.
METHODS: 15,324 eligible patients diagnosed with primary testicular cancer between January 1, 2007 and December 31, 2015 were strictly selected from the Surveillance, Epidemiology, and End Results (SEER) database. Independent survival predictors were determined based on Cox proportional hazards model. The Kaplan-Meier survival curves were conducted to describe the difference in predicting survival probability and the Multivariate Cox proportion hazard regression analyses were established to compare the cancer-specific survival (CSS) and overall survival (OS) difference among NBF stages or NBF-TNM subgroups.
RESULTS: County-level SES, marital status and insurance status were independent prognostic non-biological factors (NBFs) in our study (P < 0.05). NBF-stage (combination of SES, marital status, and insurance status) was also an independent survival predictor in TC (P < 0.05). NBF1 patients had 167% increased risk of cancer-specific mortality (CSM) as compared to NBF0 patients in testicular cancer (P < 0.01). And NBF0 patients all had a better CSS as compared to NBF1 patients of the same TNM stage both in seminoma and non-seminomatous germ cell tumor (P < 0.05).
CONCLUSIONS: Incorporation of NBFs into AJCC TNM staging system in testicular cancer would potentially impact treatment decisions where treatments would not be rendered for a typically curable cancer with multi-modal therapy.

Entities:  

Keywords:  AJCC TNM stage; Non-biological factors; SEER; Testicular cancer, stage I

Mesh:

Year:  2018        PMID: 30554272     DOI: 10.1007/s00345-018-2603-1

Source DB:  PubMed          Journal:  World J Urol        ISSN: 0724-4983            Impact factor:   4.226


  25 in total

1.  Prognostic factors for relapse in stage I seminoma managed by surveillance: a pooled analysis.

Authors:  Jerome P Richie
Journal:  J Urol       Date:  2003-09       Impact factor: 7.450

2.  Marital status independently predicts testis cancer survival--an analysis of the SEER database.

Authors:  Michael R Abern; Annie M Dude; Christopher L Coogan
Journal:  Urol Oncol       Date:  2010-09-26       Impact factor: 3.498

3.  The International Germ Cell Consensus Classification: a new prognostic factor-based staging classification for metastatic germ cell tumours.

Authors:  G M Mead; S P Stenning
Journal:  Clin Oncol (R Coll Radiol)       Date:  1997       Impact factor: 4.126

4.  Insurance Status and Differences in Treatment and Survival of Testicular Cancer Patients.

Authors:  Mohamed H Kamel; Mohammed Elfaramawi; Supriya Jadhav; Ahmed Saafan; Omer A Raheem; Rodney Davis
Journal:  Urology       Date:  2015-10-22       Impact factor: 2.649

5.  Adverse prognostic factors for testicular cancer-specific survival: a population-based study of 27,948 patients.

Authors:  Sophie D Fosså; Milada Cvancarova; Linlin Chen; Annie L Allan; Jan Oldenburg; Derick R Peterson; Lois B Travis
Journal:  J Clin Oncol       Date:  2011-02-07       Impact factor: 44.544

6.  Socioeconomic risk factors for breast cancer: distinguishing individual- and community-level effects.

Authors:  Stephanie A Robert; Indiana Strombom; Amy Trentham-Dietz; John M Hampton; Jane A McElroy; Polly A Newcomb; Patrick L Remington
Journal:  Epidemiology       Date:  2004-07       Impact factor: 4.822

7.  Prognostic factors for relapse in stage I seminoma: a new nomogram derived from three consecutive, risk-adapted studies from the Spanish Germ Cell Cancer Group (SGCCG).

Authors:  J Aparicio; P Maroto; X García del Muro; A Sánchez-Muñoz; J Gumà; M Margelí; A Sáenz; N Sagastibelza; D Castellano; J A Arranz; D Hervás; R Bastús; A Fernández-Aramburo; J Sastre; J Terrasa; M López-Brea; J Dorca; D Almenar; J Carles; A Hernández; J R Germà
Journal:  Ann Oncol       Date:  2014-09-10       Impact factor: 32.976

Review 8.  Testicular cancer: the challenge for cancer control.

Authors:  Peter Boyle
Journal:  Lancet Oncol       Date:  2004-01       Impact factor: 41.316

9.  Early predicted time to normalization of tumor markers predicts outcome in poor-prognosis nonseminomatous germ cell tumors.

Authors:  Karim Fizazi; Stéphane Culine; Andrew Kramar; Robert J Amato; Jeannine Bouzy; Isan Chen; Jean-Pierre Droz; Christopher J Logothetis
Journal:  J Clin Oncol       Date:  2004-08-09       Impact factor: 44.544

Review 10.  Testicular cancer.

Authors:  Liang Cheng; Peter Albers; Daniel M Berney; Darren R Feldman; Gedske Daugaard; Timothy Gilligan; Leendert H J Looijenga
Journal:  Nat Rev Dis Primers       Date:  2018-10-05       Impact factor: 52.329

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  3 in total

1.  Lymph Node Ratio Rather Than Positive Lymph Node Counts Has Better Prognostic Value in Patients With Testicular Germ Cell Tumors.

Authors:  Chuyang Huang; Qian Long; Yangxun Pan; Leilei Wu; Xiaonan Wang; Hailin Xu; Fufu Zheng
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec

2.  A Novel Machine Learning Algorithm Combined With Multivariate Analysis for the Prognosis of Renal Collecting Duct Carcinoma.

Authors:  Liwei Wei; Yongdi Huang; Zheng Chen; Jinhua Li; Guangyi Huang; Xiaoping Qin; Lihong Cui; Yumin Zhuo
Journal:  Front Oncol       Date:  2022-01-13       Impact factor: 6.244

3.  Clinical Implications of Nonbiological Factors With Colorectal Cancer Patients Younger Than 45 Years.

Authors:  Qi Liu; Ruoxin Zhang; Qingguo Li; Xinxiang Li
Journal:  Front Oncol       Date:  2021-07-07       Impact factor: 6.244

  3 in total

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