Literature DB >> 29491110

Ki-67 and Survivin as Predictive Factors for Rectal Cancer Treated with Preoperative Chemoradiotherapy.

Kozo Yoshikawa1, Mitsuo Shimada2, Jun Higashijima2, Toshihiro Nakao2, Masaaki Nishi2, Chie Takasu2, Hideya Kashihara2, Syohei Eto2, Yoshimi Bando3.   

Abstract

AIM: To evaluate the usefulness of Ki-67 index and survivin as predictive prognostic factors for rectal cancer treated with preoperative chemoradiotherapy. PATIENTS AND METHODS: The Ki-67 index and survivin expression were examined in patients with stage II/III rectal cancer (n=46) by immunohistochemistry. Patients were divided into a high-group and a low-group for the Ki-67 index, and positive and negative groups for survivin expression. Overall and disease-free survival were compared between the groups, and the correlation between Ki-67 index and survivin expression was assessed.
RESULTS: The 5-year disease-free survival rate of the group with high Ki-67 index was significantly lower than that of the group with low Ki-67 index (53% and 88%, p=0.03), as was the 5-year overall survival rate (68% and 100%, p=0.03). Findings for survivin were not significant.
CONCLUSION: Ki-67 index and survivin may be useful biomarkers for rectal cancer with preoperative CRT. Copyright
© 2018, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Ki-67 index; pre-operative CRT; rectal cancer; survival; survivin

Mesh:

Substances:

Year:  2018        PMID: 29491110     DOI: 10.21873/anticanres.12409

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  5 in total

1.  Prognostic Significance of Clinicopathological and Molecular Features After Neoadjuvant Chemoradiotherapy in Rectal Cancer Patients.

Authors:  Hee Jeong Cho; Jin Ho Baek; Dong Won Baek; Byung Woog Kang; Soo Jung Lee; Hye Jin Kim; Su Yeon Park; Jun Seok Park; Gyu Seog Choi; Jong Gwang Kim
Journal:  In Vivo       Date:  2019 Nov-Dec       Impact factor: 2.155

2.  iTRAQ‑based proteomics analysis of the therapeutic effects of combined anticancer bioactive peptides and oxaliplatin on gastric cancer cells.

Authors:  Yanan Xu; Xian Li; Xiulan Su
Journal:  Oncol Rep       Date:  2019-11-11       Impact factor: 3.906

3.  Deep-learning model for predicting the survival of rectal adenocarcinoma patients based on a surveillance, epidemiology, and end results analysis.

Authors:  Haohui Yu; Tao Huang; Bin Feng; Jun Lyu
Journal:  BMC Cancer       Date:  2022-02-25       Impact factor: 4.430

4.  DCE-MRI radiomics models predicting the expression of radioresistant-related factors of LRP-1 and survivin in locally advanced rectal cancer.

Authors:  Zhiheng Li; Huizhen Huang; Chuchu Wang; Zhenhua Zhao; Weili Ma; Dandan Wang; Haijia Mao; Fang Liu; Ye Yang; Weihuo Pan; Zengxin Lu
Journal:  Front Oncol       Date:  2022-08-29       Impact factor: 5.738

5.  Relationship Between Ultrasound Features and Ki-67 Labeling Index of Soft Tissue Sarcoma.

Authors:  Pingping Wang; Hai Li; Yu Hu; Xiaojing Peng; Xinhua Ye; Di Xu; Ao Li
Journal:  Front Oncol       Date:  2021-06-28       Impact factor: 6.244

  5 in total

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