Literature DB >> 25359303

Racial disparity in breast cancer survival: the impact of pre-treatment hematologic variables.

Chun Wang1, Jesse Civan, Yinzhi Lai, Massimo Cristofanilli, Terry Hyslop, Juan P Palazzo, Ronald E Myers, Bingshan Li, Zhong Ye, Kejin Zhang, Jinliang Xing, Hushan Yang.   

Abstract

PURPOSE: A survival disparity of black versus white breast cancer patients has been extensively documented but not adequately explained. Blacks and whites also have significant differences in hematologic traits including hemoglobin (HGB). However, a link between survival disparity and hematologic differences has not been reported. We aimed to explore the effect of pre-treatment hematologic variables on this survival disparity.
METHODS: We sequentially matched 443 black patients, using a minimum distance approach, to four different sets of 443 whites on demographics (age, year of diagnosis, smoking, and drinking status), tumor presentation (all demographic variables plus tumor stage, grade, and hormone receptor status), treatment (all presentation variables plus surgery, chemotherapy, radiation therapy, and hormone therapy), and presentation plus pre-treatment hematologic variables. Racial survival for each matched dataset was analyzed by Cox proportional hazards model.
RESULTS: We found that white patients matched on demographic characteristics had more favorable survival than blacks [hazard ratio (HR) 0.57, 95 % confidence interval (CI) 0.42-0.77, p log-rank = 0.0002]. Presentation match diminished this disparity [HR 0.72 (0.54-0.95), p log-rank = 0.0199], which was not further reduced in treatment match [HR 0.73 (0.55-0.96), p log-rank = 0.0249]. However, the survival disparity was largely reduced when pre-treatment level of HGB or red blood cell distribution width was further matched in addition to presentation match [HR 0.83 (0.64-1.09), p log-rank = 0.1819 and HR 0.83 (0.64-1.09), p log-rank = 0.1760, respectively].
CONCLUSIONS: We found that in our patient population, differences in tumor presentation and certain pre-treatment hematologic traits, but not treatment, were associated with the survival disparity between black and white breast cancer patients.

Entities:  

Mesh:

Year:  2014        PMID: 25359303     DOI: 10.1007/s10552-014-0481-4

Source DB:  PubMed          Journal:  Cancer Causes Control        ISSN: 0957-5243            Impact factor:   2.506


  9 in total

Review 1.  Red cell distribution width and cancer.

Authors:  Martina Montagnana; Elisa Danese
Journal:  Ann Transl Med       Date:  2016-10

2.  Platelet to lymphocyte ratio and red cell distribution width as prognostic factors for survival and recurrence in patients with oral cancer.

Authors:  Manupol Tangthongkum; Sireethorn Tiyanuchit; Virat Kirtsreesakul; Pasawat Supanimitjaroenporn; Wattana Sinkitjaroenchai
Journal:  Eur Arch Otorhinolaryngol       Date:  2017-09-02       Impact factor: 2.503

3.  Pretreatment Hematocrit Is Superior to Hemoglobin as a Prognostic Factor for Triple Negative Breast Cancer.

Authors:  Bo Chen; Danian Dai; Hailin Tang; Xiaohong Ai; Xi Chen; Xiaoyan Zhang; Zhiyan Li; Xiaoming Xie
Journal:  PLoS One       Date:  2016-11-16       Impact factor: 3.240

4.  Prognostic value of routine laboratory variables in prediction of breast cancer recurrence.

Authors:  Zhu Zhu; Ling Li; Zhong Ye; Tong Fu; Ye Du; Aiping Shi; Di Wu; Ke Li; Yifan Zhu; Chun Wang; Zhimin Fan
Journal:  Sci Rep       Date:  2017-08-15       Impact factor: 4.379

5.  Preoperative red cell distribution width and neutrophil-to-lymphocyte ratio predict survival in patients with epithelial ovarian cancer.

Authors:  Zheng Li; Na Hong; Melissa Robertson; Chen Wang; Guoqian Jiang
Journal:  Sci Rep       Date:  2017-02-22       Impact factor: 4.379

6.  A prospective cohort examination of haematological parameters in relation to cancer death and incidence: the Busselton Health Study.

Authors:  Niwansa Adris; Anita Chai Geik Chua; Matthew William Knuiman; Mark Laurence Divitini; Debbie Trinder; John Kevin Olynyk
Journal:  BMC Cancer       Date:  2018-09-03       Impact factor: 4.430

Review 7.  Prognostic role of pretreatment red blood cell distribution width in patients with cancer: A meta-analysis of 49 studies.

Authors:  Peng-Fei Wang; Si-Ying Song; Hang Guo; Ting-Jian Wang; Ning Liu; Chang-Xiang Yan
Journal:  J Cancer       Date:  2019-07-10       Impact factor: 4.207

8.  The Effect of Patient and Contextual Characteristics on Racial/Ethnic Disparity in Breast Cancer Mortality.

Authors:  Richard Sposto; Theresa H M Keegan; Cheryl Vigen; Marilyn L Kwan; Leslie Bernstein; Esther M John; Iona Cheng; Juan Yang; Jocelyn Koo; Allison W Kurian; Bette J Caan; Yani Lu; Kristine R Monroe; Salma Shariff-Marco; Scarlett Lin Gomez; Anna H Wu
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-04-26       Impact factor: 4.090

9.  The Clinical Importance of Measurement of Hematological Indices in the Breast Cancer Survivals: A Comparison Between Premenopausal and Postmenopausal Women.

Authors:  Zhian M I Dezayee; Marwan S M Al-Nimer
Journal:  World J Oncol       Date:  2016-04-03
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.