Literature DB >> 26678892

The tumor-to-breast volume ratio (TBR) predicts cancer-specific survival in breast cancer patients who underwent modified radical mastectomy.

Jiahuai Wen1, Feng Ye1, Xiaojia Huang1, Shuaijie Li1, Lu Yang1, Xiangsheng Xiao1, Xiaoming Xie2.   

Abstract

Breast cancer is the most common cancer in women globally, and tumor size measured as the largest diameter of the tumor focus is currently used in tumor-lymph node-metastasis (TNM) staging for prognosis and treatment decisions. The present study utilized the tumor-to-breast volume ratio (TBR) to evaluate the relative tumor size and determined the prognostic impact of TBR on survival in patients with breast cancer. Two thousand twenty-five consecutive breast cancer patients who underwent modified radical mastectomy between January 2002 and December 2008 at Sun Yat-Sen University Cancer Center were enrolled in this retrospective study. Kaplan-Meier analysis was used to assess the prognostic effect of TBR on cancer-specific survival (CSS), and univariate log-rank test and multivariate Cox proportional hazards regression model were performed to identify independent prognostic factors. The optimal cutoff value of TBR was determined to be 1.70 %, and 1473 and 552 patients were categorized to low-TBR and high-TBR groups, respectively. In the whole patient cohort, CSS was significantly shorter in the high-TBR group (110.2 vs 128.5 months, P < 0.001). Univariate and multivariate analyses revealed that TBR was an independent prognostic factor of CSS in breast cancer patients (hazard ratio (HR) 1.489, 95 % CI 1.130-1.961, P = 0.005). High TBR was independently associated with poor prognosis in breast cancer patients. This variable may serve as a valuable parameter to predict the outcomes of breast cancer.

Entities:  

Keywords:  Breast cancer; Mastectomy; Prognosis; Tumor-to-breast volume ratio

Mesh:

Year:  2015        PMID: 26678892     DOI: 10.1007/s13277-015-4382-2

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  24 in total

1.  Tumor volume as prognostic factor in chemoradiation for advanced head and neck cancer.

Authors:  Joost L Knegjens; Michael Hauptmann; Frank A Pameijer; Alfons J Balm; Frank J Hoebers; Josien A de Bois; Johannes H Kaanders; Carla M van Herpen; Cornelia G Verhoef; Oda B Wijers; Ruud G Wiggenraad; Jan Buter; Coen R Rasch
Journal:  Head Neck       Date:  2011-03       Impact factor: 3.147

2.  Tumor size as a prognostic factor in resected small hepatocellular carcinoma: a controversy revisited.

Authors:  Yao-Li Chen; Chih-Jan Ko; Su-Yu Chien; Li-Sheng Chen; Mei-Ling Chen; Chin-Wen Chi; Hung-Wen Lai
Journal:  J Gastroenterol Hepatol       Date:  2011-05       Impact factor: 4.029

3.  Predictive role of tumor size in breast cancer with axillary lymph node involvement - can size of primary tumor be used to omit an unnecessary axillary lymph node dissection?

Authors:  Elahe Orang; Eisa Tahmasbpour Marzony; Aboulfazl Afsharfard
Journal:  Asian Pac J Cancer Prev       Date:  2013

Review 4.  Tumor size and survival in breast cancer--a reappraisal.

Authors:  William D Foulkes; Jorge S Reis-Filho; Steven A Narod
Journal:  Nat Rev Clin Oncol       Date:  2010-03-23       Impact factor: 66.675

5.  Prognostic relevance of biological subtype overrides that of TNM staging in breast cancer: discordance between stage and biology.

Authors:  Hyun Ae Jung; Yeon Hee Park; Moonjin Kim; Sungmin Kim; Won Jin Chang; Moon Ki Choi; Jung Yong Hong; Seok Won Kim; Won Ho Kil; Jeong Eon Lee; Seok Jin Nam; Jin Seok Ahn; Young-Hyuck Im
Journal:  Tumour Biol       Date:  2014-10-19

6.  Tumor volume as a prognostic factor was superior to the seventh edition of the pT classification in resectable gastric cancer.

Authors:  N Jiang; J-Y Deng; X-W Ding; Y Liu; H Liang
Journal:  Eur J Surg Oncol       Date:  2014-12-09       Impact factor: 4.424

Review 7.  Pretreatment probability model for predicting outcome after intraarterial chemoradiation for advanced head and neck carcinoma.

Authors:  Guido B van den Broek; Coen R N Rasch; Frank A Pameijer; Ellen Peter; Michiel W M van den Brekel; I Bing Tan; Jan H Schornagel; Josien A de Bois; Lambert J Zijp; Alfons J M Balm
Journal:  Cancer       Date:  2004-10-15       Impact factor: 6.860

8.  Risk factors for recurrence and unfavorable prognosis in patients with stage I non-small cell lung cancer and a tumor diameter of 20 mm or less.

Authors:  Naruyuki Kobayashi; Shinichi Toyooka; Junichi Soh; Kouichi Ichimura; Hiroyuki Yanai; Hiroshi Suehisa; Shuji Ichihara; Masaomi Yamane; Motoi Aoe; Yoshifumi Sano; Hiroshi Date
Journal:  J Thorac Oncol       Date:  2007-09       Impact factor: 15.609

9.  Tumour size and differentiation in predicting recurrence of hepatocellular carcinoma after liver transplantation: external validation of a new prognostic score.

Authors:  L Marelli; A Grasso; M Pleguezuelo; H Martines; R Stigliano; A P Dhillon; D Patch; B R Davidson; D Sharma; K Rolles; A K Burroughs
Journal:  Ann Surg Oncol       Date:  2008-09-06       Impact factor: 5.344

10.  Potential of reduction in total tumor volume measured with 3D-MRI as a prognostic factor for locally-advanced breast cancer patients treated with primary chemotherapy.

Authors:  Kenji Akazawa; Yasuhiro Tamaki; Tetsuya Taguchi; Yoshio Tanji; Yasuo Miyoshi; Seung Jim Kim; Kenzo Shimazu; Satsuki Ueda; Tetsu Yanagisawa; Noritsugu Okishiro; Mitsunobu Imazato; Kozuma Yasuyuki; Yoshinobu Sato; Shinichi Tamura; Shinzaburo Noguchi
Journal:  Breast J       Date:  2008-10-13       Impact factor: 2.431

View more
  3 in total

1.  Correlation between contrast-enhanced cone-beam breast computed tomography features and prognostic staging in breast cancer.

Authors:  Wei-Mei Ma; Jiao Li; Shuang-Gang Chen; Pei-Qiang Cai; Shen Chen; Jie-Ting Chen; Chun-Yan Zhou; Ni He; Yaopan Wu
Journal:  Br J Radiol       Date:  2022-01-07       Impact factor: 3.629

Review 2.  Metastatic and triple-negative breast cancer: challenges and treatment options.

Authors:  Sumayah Al-Mahmood; Justin Sapiezynski; Olga B Garbuzenko; Tamara Minko
Journal:  Drug Deliv Transl Res       Date:  2018-10       Impact factor: 4.617

3.  Nomograms for prediction of breast cancer in breast imaging reporting and data system (BI-RADS) ultrasound category 4 or 5 lesions: A single-center retrospective study based on radiomics features.

Authors:  Zhi-Liang Hong; Sheng Chen; Xiao-Rui Peng; Jian-Wei Li; Jian-Chuan Yang; Song-Song Wu
Journal:  Front Oncol       Date:  2022-09-23       Impact factor: 5.738

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.