Evaluation of Prognostic Factors that Affect Survival Outcomes of Breast Cancer Patients with Brain Metastases: A Single Institutional Experience

被引:3
作者
Patil, Roshankumar [1 ]
Pandit, Prakash [1 ]
Palwe, Vijay [1 ]
Kate, Shruti [2 ]
Gandhe, Sucheta [3 ]
Patil, Rahul [3 ]
Ramesh, Yasam Venkata [4 ]
Nagarkar, Raj [5 ]
机构
[1] HCG Manavata Canc Ctr, Dept Radiat Oncol, Nasik, Maharashtra, India
[2] HCG Manavata Canc Ctr, Dept Med Oncol, Nasik, Maharashtra, India
[3] HCG Manavata Canc Ctr, Dept Pathol, Nasik, Maharashtra, India
[4] HCG Manavata Canc Ctr, Dept Acad, Nasik, Maharashtra, India
[5] HCG Manavata Canc Ctr, Dept Surg Oncol, Nasik, Maharashtra, India
关键词
Breast cancer; brain metastases; survival outcome; prognostic factors; DS-GPA score; RECURSIVE PARTITIONING ANALYSIS; CLINICOPATHOLOGICAL FEATURES; ANALYSIS RPA; RADIOTHERAPY; CARCINOMA; SUBTYPES;
D O I
10.4274/ejbh.2020.5969
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective: This study aimed to evaluate various prognostic factors that play a vital role in stratifying and guiding tailored treatment strategies and survival outcome in breast cancer patients with brain metastases (BM). Materials and Methods: Data regarding demography, clinical presentation, molecular subtypes, risk-stratification, treatment details, and outcomes were retrieved from medical records. All time-to-event (survival) outcomes were analyzed by Kaplan-Meir method and compared using log-rank test. Univariate and multivariate analysis of relevant prognostic factors were performed and p-values <= 0.05 were considered statistically significant. Results: A total of 88 patients (median age: 50 years) were included for this study. The median follow-up time of all surviving patients was similar to 20 months. During the follow-up, 82 (93.1%) patients died. The median survival of all patients was 12 months, with 1-year and 2-year overall survival (OS) rate of 51% and 22%, respectively. Based on univariate analysis, statistically significant prognostic factors for OS were molecular subtypes, number of BM, and Karnofsky Performance Status (KPS); however, number of BM and KPS emerged as independent predictors of survival based on multivariate analysis. Conclusion: We conclude that, there are other important prognostic factor, such as number of BM, which may affect the OS of these patients, in addition to variables included in the diagnosis-specific graded prognostic assessment score. Prospective studies evaluating these factors are necessary to further refine the stratification of patients, which will aid the initiation of appropriate treatment to improve the OS of patients.
引用
收藏
页码:62 / 67
页数:6
相关论文
共 21 条
  • [1] Prediction of outcomes for patients with brain parenchymal metastases from breast cancer (BC): a new BC-specific prognostic model and a nomogram
    Ahn, Hee Kyung
    Lee, Soohyeon
    Park, Yeon Hee
    Sohn, Joo Hyuk
    Jo, Jae-Cheol
    Ahn, Jin-Hee
    Jung, Kyung Hae
    Park, Silvia
    Cho, Eun Yoon
    Lee, Jung Il
    Park, Won
    Choi, Doo Ho
    Huh, Seung Jae
    Ahn, Jin Seok
    Kim, Sung-Bae
    Im, Young-Hyuck
    [J]. NEURO-ONCOLOGY, 2012, 14 (08) : 1105 - 1113
  • [2] Results of whole brain radiotherapy and recursive partitioning analysis in patients with brain metastases from renal cell carcinoma: A retrospective study
    Cannady, SB
    Cavanaugh, KA
    Lee, SY
    Bukowski, RM
    Olencki, TE
    Stevens, GHJ
    Barnett, GH
    Suh, JH
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2004, 58 (01): : 253 - 258
  • [3] Recursive partitioning analysis (RPA) of prognostic factors in three radiation therapy oncology group (RTOG) brain metastases trials
    Gaspar, L
    Scott, C
    Rotman, M
    Asbell, S
    Phillips, T
    Wasserman, T
    McKenna, WG
    Byhardt, R
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 1997, 37 (04): : 745 - 751
  • [4] Preservation of Memory With Conformal Avoidance of the Hippocampal Neural Stem-Cell Compartment During Whole-Brain Radiotherapy for Brain Metastases (RTOG 0933): A Phase II Multi-Institutional Trial
    Gondi, Vinai
    Pugh, Stephanie L.
    Tome, Wolfgang A.
    Caine, Chip
    Corn, Ben
    Kanner, Andrew
    Rowley, Howard
    Kundapur, Vijayananda
    DeNittis, Albert
    Greenspoon, Jeffrey N.
    Konski, Andre A.
    Bauman, Glenn S.
    Shah, Sunjay
    Shi, Wenyin
    Wendland, Merideth
    Kachnic, Lisa
    Mehta, Minesh P.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2014, 32 (34) : 3810 - U198
  • [5] Cancer statistics, 2008
    Jemal, Ahmedin
    Siegel, Rebecca
    Ward, Elizabeth
    Hao, Yongping
    Xu, Jiaquan
    Murray, Taylor
    Thun, Michael J.
    [J]. CA-A CANCER JOURNAL FOR CLINICIANS, 2008, 58 (02) : 71 - 96
  • [6] Kirsch David G, 2005, Clin Breast Cancer, V6, P115, DOI 10.3816/CBC.2005.n.013
  • [7] Failure patterns according to molecular subtype in patients with invasive breast cancer following postoperative adjuvant radiotherapy: long-term outcomes in contemporary clinical practice
    Lim, Yu Jin
    Lee, Sea-Won
    Choi, Noorie
    Kwon, Jeanny
    Eom, Keun-Yong
    Kang, Eunyoung
    Kim, Eun-Kyu
    Kim, Sung-Won
    Kim, Jee Hyun
    Kim, Yu Jung
    Kim, Se Hyun
    Park, So Yeon
    Kim, Jae-Sung
    Kim, In Ah
    [J]. BREAST CANCER RESEARCH AND TREATMENT, 2017, 163 (03) : 555 - 563
  • [8] Prognostic factors in brain metastases: Should patients be selected for aggressive treatment according to recursive partitioning analysis (RPA) classes?
    Nieder, C
    Nestle, U
    Motaref, B
    Walter, K
    Niewald, M
    Schnabel, K
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2000, 46 (02): : 297 - 302
  • [9] Breast Cancer Subtypes Based on ER/PR and Her2 Expression: Comparison of Clinicopathologic Features and Survival
    Onitilo, Adedayo
    Engel, Jessica
    Greenlee, Robert
    Mukesh, Bickol
    [J]. CLINICAL MEDICINE & RESEARCH, 2009, 7 (1-2) : 4 - 13
  • [10] Prevalence of Molecular Subtypes of Breast Cancer: A Single Institutional Experience of 2062 Patients
    Pandit, Prakash
    Patil, Roshankumar
    Palwe, Vijay
    Gandhe, Sucheta
    Patil, Rahul
    Nagarkar, Rajnish
    [J]. EUROPEAN JOURNAL OF BREAST HEALTH, 2020, 16 (01) : 39 - 43