Predictive Role of GSTs on the Prognosis of Breast Cancer Patients with Neoadjuvant Chemotherapy

被引:18
|
作者
Bai, Yun-Lu [2 ]
Zhou, Bing [1 ]
Jing, Xiao-Yue [1 ]
Zhang, Bin [1 ]
Huo, Xiao-Qing [3 ]
Ma, Chao [4 ]
He, Jian-Miao [5 ]
机构
[1] Xinxiang Med Coll, Affiliated Hosp 1, Dept Gen Surg, Xinxiang, Peoples R China
[2] Xinxiang Med Coll, Affiliated Hosp 1, Dept Ultrasound, Xinxiang, Peoples R China
[3] Xinxiang Med Coll, Affiliated Hosp 1, Dept Radiotherapy, Xinxiang, Peoples R China
[4] Xinxiang Med Coll, Affiliated Hosp 1, Xinxiang, Peoples R China
[5] 309th Hosp Chinese Peoples Liberat Army, Dept Gen Surg, Beijing, Peoples R China
关键词
GSTM1; GSTT1; GSTP1; breast cancer; chemotherapy; S-TRANSFERASE-PI; GENETIC POLYMORPHISMS; HALOENOL LACTONE; EXPRESSION; T1; M1; P1;
D O I
10.7314/APJCP.2012.13.10.5019
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective: To evaluate the predictive value of GST gene polymorphisms with regard to prognosis of breast cancer patients receiving neoadjuvant chemotherapy. Methods: A total of 159 patients were included in our study between January 2005 and January 2007. All the patients were followed up until January 2012. Genotyping was based upon the duplex polymerase-chain-reaction with the PCR-CTPP method. Results: Patients with null GSTM1 and GSTP1 Val/Val genotypes had significantly had better response rates to chemotherapy when compared with non-null GSTM1 and GSTP1 Ile/Ile genotypes (OR=1.96 and OR=2.14, respectively). Patients with the GSTM1 null genotype had a longer average survival time and significantly lower risk of death than did those with non-null genotypes (HR=0.66). Similarly, those carrying the GSTP1 Val/Val genotype had 0.54-fold the risk of death of those with GSTP1 Ile/Ile (HR=0.54). Conclusion: A significant association was found between GSTM1 and GSTP1 gene polymorphisms and clinical outcomes in breast cancer cases.
引用
收藏
页码:5019 / 5022
页数:4
相关论文
共 50 条
  • [21] Stratification of Prognosis by Biological Features Following Neoadjuvant Chemotherapy in Luminal Breast Cancer
    Yamamoto, Shinya
    Chishima, Takashi
    Shibata, Yukako
    Inoue, Shiori
    Harada, Fumi
    Takeuchi, Hideki
    Yamada, Akimitsu
    Narui, Kazutaka
    Endo, Itaru
    IN VIVO, 2022, 36 (02): : 859 - 864
  • [22] Predictive and prognostic effect of HO-1 expression in breast cancer patients undergoing neoadjuvant chemotherapy
    Tan, Qixing
    Qin, Qinghong
    Huang, Zhen
    Lian, Bin
    Mo, Qinguo
    Wei, Changyuan
    BREAST CANCER RESEARCH AND TREATMENT, 2022, 193 (02) : 393 - 403
  • [23] Predictive potential role of glutathione S-transferases polymorphisms in response to chemotherapy and breast cancer prognosis
    Yuan, P.
    Yuan, L.
    Xu, B. L.
    Wang, C. Z.
    Yang, H. Z.
    Li, Y.
    GENETICS AND MOLECULAR RESEARCH, 2015, 14 (04): : 16675 - 16681
  • [24] Methylated DNA and high total DNA levels in the serum of patients with breast cancer following neoadjuvant chemotherapy are predictive of a poor prognosis
    Fujita, Noriko
    Kagara, Naofumi
    Yamamoto, Noriaki
    Shimazu, Kenzo
    Shimomura, Atsushi
    Shimoda, Masafumi
    Maruyama, Naomi
    Naoi, Yasuto
    Morimoto, Koji
    Oda, Naofumi
    Kim, Seung Jin
    Noguchi, Shinzaburo
    ONCOLOGY LETTERS, 2014, 8 (01) : 397 - 403
  • [25] Biomarker dynamics and prognosis in breast cancer after neoadjuvant chemotherapy
    Zarotti, Cristina
    Papassotiropoulos, Barbel
    Elfgen, Constanze
    Dedes, Konstantin
    Vorburger, Denise
    Pestalozzi, Bernhard
    Trojan, Andreas
    Varga, Zsuzsanna
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [26] ITPKC as a Prognostic and Predictive Biomarker of Neoadjuvant Chemotherapy for Triple Negative Breast Cancer
    Oshi, Masanori
    Newman, Stephanie
    Murthy, Vijayashree
    Tokumaru, Yoshihisa
    Yan, Li
    Matsuyama, Ryusei
    Endo, Itaru
    Takabe, Kazuaki
    CANCERS, 2020, 12 (10) : 1 - 14
  • [27] Predictive biomarkers of survival after neoadjuvant chemotherapy for breast cancer
    Galvez-Nino, Marco
    Roque, Katia
    Angel Bernabe, Luis
    Castillo, Miluska
    Sanchez, Joselyn
    Landa Baella, Maria
    Calderon, Gabriela
    De la Cruz, Miguel
    Dunstan, Jorge
    Abugatas, Julio
    Cotrina, Jose
    Castaneda, Carlos
    Gomez, Henry
    CANCER RESEARCH, 2020, 80 (04)
  • [28] Predictive factors of response to anthracylines neoadjuvant chemotherapy in breast cancer
    Bensouda, Y.
    Ismaili, N.
    Ahbeddou, N.
    El Hassani, K.
    Chenna, M.
    Sbitti, Y.
    Boutayeb, S.
    Errihani, H.
    GYNECOLOGIE OBSTETRIQUE & FERTILITE, 2011, 39 (02): : 81 - 86
  • [29] Assessment of Predictive Markers of Response to Neoadjuvant Chemotherapy in Breast Cancer
    Tewari, Mallika
    Pradhan, Satyajit
    Singh, Usha
    Singh, Taj Bali
    Shukla, Hari Shankar
    ASIAN JOURNAL OF SURGERY, 2010, 33 (04) : 157 - 167
  • [30] Predictors of Neoadjuvant Chemotherapy Response in Breast Cancer: A Review
    Xu, Weilin
    Chen, Xiu
    Deng, Fei
    Zhang, Jian
    Zhang, Wei
    Tang, Jinhai
    ONCOTARGETS AND THERAPY, 2020, 13 : 5887 - 5899