Literature DB >> 25192361

Hypercoagulation in colorectal cancer: what can platelet indices tell us?

Charalampos Seretis1, Haney Youssef, Mark Chapman.   

Abstract

Colorectal cancer, as all solid malignancies, is accompanied by changes in the haemostatic mechanism favoring the establishment of a thrombotic potential, with platelets playing a key-role in this framework; they further link colorectal cancer progression and hypercoagulation with the immune-response against the neoplastic spread. Under this rationale, various studies have assessed the use of platelet indices as prognostic markers of the biological behavior of colorectal cancer, demonstrating significant results. We herein attempt to summarize in a narrative and critical approach the relevant available data and the underlying pathophysiology, stressing the necessity of a more thorough understanding and future implementation of platelet indices in all stages of care we deliver to colorectal cancer patients.

Entities:  

Keywords:  Cancer; coagulation; colorectal; metastasis; platelet

Mesh:

Year:  2014        PMID: 25192361     DOI: 10.3109/09537104.2014.894969

Source DB:  PubMed          Journal:  Platelets        ISSN: 0953-7104            Impact factor:   3.862


  29 in total

1.  Prognostic value of thrombocytosis in patients undergoing surgery for colorectal cancer with synchronous liver metastases.

Authors:  C Pedrazzani; G Turri; G Mantovani; C Conti; R Ziello; S Conci; T Campagnaro; A Ruzzenente; A Guglielmi
Journal:  Clin Transl Oncol       Date:  2019-04-02       Impact factor: 3.405

2.  Association of decreased mean platelet volume with renal cell carcinoma.

Authors:  Zhi-Yuan Yun; Xin Zhang; Zhi-Ping Liu; Tiemin Liu; Rui-Tao Wang; Hui Chen
Journal:  Int J Clin Oncol       Date:  2017-06-29       Impact factor: 3.402

3.  The postoperative platelet distribution width is useful for predicting the prognosis in patients with esophageal squamous cell carcinoma.

Authors:  Tomoyuki Matsunaga; Hiroaki Saito; Yoji Fukumoto; Shota Shimizu; Yusuke Kono; Yuki Murakami; Yuji Shishido; Kozo Miyatani; Manabu Yamamoto; Naruo Tokuyasu; Shuichi Takano; Teruhisa Sakamoto; Soichiro Honjo; Yoshiyuki Fujiwara
Journal:  Surg Today       Date:  2019-08-06       Impact factor: 2.549

4.  Intraplatelet Vascular Endothelial Growth Factor and Platelet-Derived Growth Factor: New Biomarkers in Carcinoembryonic Antigen-Negative Colorectal Cancer?

Authors:  Charbel Chater; Anne Bauters; Claire Beugnet; Lena M'Ba; Moshe Rogosnitzky; Philippe Zerbib
Journal:  Gastrointest Tumors       Date:  2018-02-16

5.  Decreased Mean Platelet Volume is Associated with Cervical Cancer Development

Authors:  Wen-Jie Shen; Shuang Fu; Na Li; Lu-Lu Li; Zhi-Gang Cao; Chuanfu Li; Tiemin Liu; Rui-Tao Wang
Journal:  Asian Pac J Cancer Prev       Date:  2017-07-27

6.  Higher platelet distribution width predicts poor prognosis in laryngeal cancer.

Authors:  Huan Zhang; Li Liu; Shuang Fu; Yan-Song Liu; Changsong Wang; Tiemin Liu; Zhi-Ping Liu; Rui-Tao Wang; Kai-Jiang Yu
Journal:  Oncotarget       Date:  2017-07-18

7.  Lower mean platelet volume predicts poor prognosis in renal cell carcinoma.

Authors:  Zhi-Yuan Yun; Xin Zhang; Yan-Song Liu; Tiemin Liu; Zhi-Ping Liu; Rui-Tao Wang; Kai-Jiang Yu
Journal:  Sci Rep       Date:  2017-07-27       Impact factor: 4.379

8.  Elevated Platelet Distribution Width Predicts Poor Prognosis in Gallbladder Carcinoma.

Authors:  Fei Liu; Hai-Jie Hu; Parbatraj Regmi; Yan-Wen Jin; Wen-Jie Ma; Jun-Ke Wang; Rui-Qi Zou; Fu-Yu Li
Journal:  Cancer Manag Res       Date:  2021-06-10       Impact factor: 3.989

9.  Decreased mean platelet volume predicts poor prognosis in invasive bladder cancer.

Authors:  Xin Wang; Ming-Ming Cui; Yangyang Xu; Li Liu; Ye Niu; Tiemin Liu; Zhi-Ping Liu; Rui-Tao Wang; Kai-Jiang Yu
Journal:  Oncotarget       Date:  2017-07-12

10.  Elevated mean platelet volume predicts poor prognosis in colorectal cancer.

Authors:  Na Li; Zhiwei Yu; Xin Zhang; Tiemin Liu; Yu-Xiang Sun; Rui-Tao Wang; Kai-Jiang Yu
Journal:  Sci Rep       Date:  2017-08-31       Impact factor: 4.379

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