Literature DB >> 29285775

Systemic immune-inflammation index predicts the combined clinical outcome after sequential therapy with abiraterone and docetaxel for metastatic castration-resistant prostate cancer patients.

Liancheng Fan1, Rui Wang2, Chenfei Chi1, Wen Cai1, Yong Zhang1, Hongyang Qian1, Xiaoguang Shao1, Yanqing Wang1, Fan Xu1, Jiahua Pan1, Yinjie Zhu1, Xun Shangguan1, Lixin Zhou1, Baijun Dong1, Wei Xue1.   

Abstract

OBJECTIVE: To compare the antitumor effect of abiraterone (AA) followed by docetaxel-prednisone (DP) or vice versa in metastatic castration-resistant prostate cancer (mCRPC) patients, and explored factors that might predict combined PSA-PFS, combined rPFS and OS. PATIENTS AND METHODS: We retrospectively analyzed mCRPC patients treated with sequential therapy using DP followed by AA or vice versa. Patients who had received enzalutamide or cabazitaxel were excluded. The primary outcome measure was overall survival (OS). The combined PSA progression-free survival (PSA-PFS), combined radiographic PFS (rPFS), and OS of AA-to-DP were compared to the reverse sequence using Kaplan-Meier curves with log-rank statistics. Univariable and multivariable Cox regression analyses were performed to determine prognostic factors that were associated with combined PSA-PFS, combined rPFS and OS.
RESULTS: A total of 104 mCRPC patients who began treatment between 2013 and 2017 were identified: 42 were in the DP-to-AA group and 62 were in the AA-to-DP group. There was no significant difference of baseline clinical characteristics between AA-to-DP and DP-to-AA group. In addition, there was no significant difference in combined PSA-PFS (AA-to-DP: 12.5 [11.4-13.6] vs DP-to-AA: 13.2 [10.9-15.5] months [P = 0.127]), combined rPFS (AA-to-DP: 12.2 [10.9-13.4] vs DP-to-AA: 11.2 [8.9-13.5] months [P = 0.183]) and OS (AA-to-DP: 23.3 [19.7-26.9] vs DP-to-AA: 22.9 [22.1-23.7] months [P = 0.213]) between the two treatment sequences in Kaplan-Meier analysis. In multivariate Cox regression analysis, high systematic Immune-Inflammation Index (SII) level, which was calculated by P (platelet) × N (neutrophil)/L(lymphocyte), remained significant predictors of OS, combined rPFS and combined PSA-PFS.
CONCLUSION: In this study, we did not observe differences in clinical outcomes based on alternative sequencing of AA and DP in mCRPC patients. The ability to tolerate side effects and patient preference may be used to determine the treatment sequencing. In addition, high pretreatment SII level is a negative independent prognosticator of survival outcomes in mCRPC with sequential therapy using DP followed by AA or vice versa, which might guide clinicians select the best treatment.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  abiraterone acetate; chemotherapy prognostic model; metastatic castration-resistant prostate cancer; sequential treatment

Mesh:

Substances:

Year:  2017        PMID: 29285775     DOI: 10.1002/pros.23465

Source DB:  PubMed          Journal:  Prostate        ISSN: 0270-4137            Impact factor:   4.104


  18 in total

1.  Predicting 5-Year Progression and Survival Outcomes for Early Stage Non-small Cell Lung Cancer Treated with Stereotactic Ablative Radiation Therapy: Development and Validation of Robust Prognostic Nomograms.

Authors:  Jingjing Kang; Matthew S Ning; Han Feng; Hongqi Li; Houda Bahig; Eric D Brooks; James W Welsh; Rui Ye; Hongyu Miao; Joe Y Chang
Journal:  Int J Radiat Oncol Biol Phys       Date:  2019-10-03       Impact factor: 7.038

2.  Systemic immune-inflammation index as a prognostic marker in patients with newly diagnosed metastatic nasopharyngeal carcinoma: a propensity score-matched study.

Authors:  Cheng Lin; Sheng Lin; Qiao-Juan Guo; Jing-Feng Zong; Tian-Zhu Lu; Na Lin; Shao-Jun Lin; Jian-Ji Pan
Journal:  Transl Cancer Res       Date:  2019-09       Impact factor: 1.241

3.  Abiraterone acetate for chemotherapy-naive metastatic castration-resistant prostate cancer: a single-centre prospective study of efficacy, safety, and prognostic factors.

Authors:  Liancheng Fan; Baijun Dong; Chenfei Chi; Yanqing Wang; Yiming Gong; Jianjun Sha; Jiahua Pan; Xun Shangguan; Yiran Huang; Lixin Zhou; Wei Xue
Journal:  BMC Urol       Date:  2018-12-03       Impact factor: 2.264

4.  Reduced T-cell Numbers and Elevated Levels of Immunomodulatory Cytokines in Metastatic Prostate Cancer Patients De Novo Resistant to Abiraterone and/or Enzalutamide Therapy.

Authors:  Sumanta K Pal; Dayson Moreira; Haejung Won; Seok Woon White; Pryanka Duttagupta; Marc Lucia; Jeremy Jones; JoAnn Hsu; Marcin Kortylewski
Journal:  Int J Mol Sci       Date:  2019-04-13       Impact factor: 5.923

5.  Prognostic significance of systemic immune-inflammation index in triple-negative breast cancer.

Authors:  Jingxin Liu; Zhangzhen Shi; Yuansong Bai; Lin Liu; Kailiang Cheng
Journal:  Cancer Manag Res       Date:  2019-05-14       Impact factor: 3.989

Review 6.  Obesity, Inflammation, and Prostate Cancer.

Authors:  Kazutoshi Fujita; Takuji Hayashi; Makoto Matsushita; Motohide Uemura; Norio Nonomura
Journal:  J Clin Med       Date:  2019-02-06       Impact factor: 4.241

7.  Prognostic significance of elevated pretreatment systemic inflammatory markers for patients with prostate cancer: a meta-analysis.

Authors:  Hao Peng; Xiaogang Luo
Journal:  Cancer Cell Int       Date:  2019-03-25       Impact factor: 5.722

Review 8.  Inflammatory Biomarkers as Predictors of Response to Immunotherapy in Urological Tumors.

Authors:  Giuseppe Schepisi; Nicole Brighi; Maria Concetta Cursano; Giorgia Gurioli; Giorgia Ravaglia; Amelia Altavilla; Salvatore Luca Burgio; Sara Testoni; Cecilia Menna; Alberto Farolfi; Chiara Casadei; Giuseppe Tonini; Daniele Santini; Ugo De Giorgi
Journal:  J Oncol       Date:  2019-09-19       Impact factor: 4.375

Review 9.  Main Inflammatory Cells and Potentials of Anti-Inflammatory Agents in Prostate Cancer.

Authors:  Takuji Hayashi; Kazutoshi Fujita; Makoto Matsushita; Norio Nonomura
Journal:  Cancers (Basel)       Date:  2019-08-12       Impact factor: 6.639

10.  Systemic immune-inflammation index and ultrasonographic classification of breast imaging-reporting and data system predict outcomes of triple-negative breast cancer.

Authors:  Ping Wang; Wensheng Yue; Wenyan Li; Yuqun Luo; Zukun Li; Yi Shao; Zhizhong He
Journal:  Cancer Manag Res       Date:  2019-01-17       Impact factor: 3.989

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