Literature DB >> 9071899

Haemostatic abnormalities in lung cancer: prognostic implications.

G Buccheri1, D Ferrigno, C Ginardi, C Zuliani.   

Abstract

Both experimental and clinical data have shown that coagulation disorders are common in patients with cancer although clinical symptoms occur rarely. A prethrombotic state is probably involved in the mechanism of metastatic spread. Anticoagulant treatment, with either warfarin or heparin, has been shown to have a positive influence in small cell lung cancer. The purpose of this study was to evaluate the prethrombotic state as a possible marker of the outcome of lung cancer. Pretreatment prothrombin time (PT), partial thromboplastin time (PTT), antithrombin III (AT-III), platelet blood count (P), fibrinogen (F) and D-dimer (DD) were prospectively recorded in a series of 286 consecutive patients with a new primary lung cancer. Other recorded variables (32 in all) consisted of a set of anthropometric, clinical, physical, laboratory, radiological and pathological data. All patients were carefully followed up, and their subsequent clinical course recorded. Spearman rank correlation tests between coagulation factors were weakly significant, or more often non-significant. The best correlation index was that between PT and PTT (ra = -0.25). Univariate analyses of survival showed that a prolonged value of PT (P = 0.00167) and higher values of F (P = 0.00143) and DD (P = 0.0005) were associated with a poor prognosis. A few, weak relationships between well-known prognostic variables and coagulation abnormalities were also found. Because of the weakness of this correlation pattern, coagulation factors emerged in all the Cox's regression analyses as important predictors of survival, regardless of the number and type of cofactors used. A prethrombotic state (depicted by a prolongation of PT and increase of DD) is confirmed in this study as an aggravating condition in lung cancer. Studies attempting to reverse possible haemostatic abnormalities with the use of anticoagulants are justified by the present data.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 9071899     DOI: 10.1016/s0959-8049(96)00310-3

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  22 in total

1.  Prognostic role of D-dimer in patients with lung cancer: a meta-analysis.

Authors:  Xuelei Ma; Yanyan Li; Jing Zhang; Jingwen Huang; Lei Liu
Journal:  Tumour Biol       Date:  2013-10-10

2.  Detecting phenotype-specific interactions between biological processes from microarray data and annotations.

Authors:  Nadeem A Ansari; Riyue Bao; Călin Voichiţa; Sorin Drăghici
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2012 Sep-Oct       Impact factor: 3.710

3.  Clinical significance of the ratio between the alpha 2 plasmin inhibitor-plasmin complex and the thrombin-antithrombin complex in advanced non-small cell lung cancer.

Authors:  Katsuhiro Masago; Shiro Fujita; Tadashi Mio; Yosuke Togashi; Young Hak Kim; Yukimasa Hatachi; Akiko Fukuhara; Kaoru Irisa; Yuichi Sakamori; Michiaki Mishima
Journal:  Med Oncol       Date:  2010-03-19       Impact factor: 3.064

Review 4.  Coagulation and cancer: implications for diagnosis and management.

Authors:  M F Loreto ; M De Martinis ; M P Corsi ; M Modesti ; L Ginaldi
Journal:  Pathol Oncol Res       Date:  2000       Impact factor: 3.201

5.  Tumor-derived tissue factor-bearing microparticles are associated with venous thromboembolic events in malignancy.

Authors:  Jeffrey I Zwicker; Howard A Liebman; Donna Neuberg; Romaric Lacroix; Kenneth A Bauer; Barbara C Furie; Bruce Furie
Journal:  Clin Cancer Res       Date:  2009-10-27       Impact factor: 12.531

6.  Clinical significance of coagulation assays in metastatic pancreatic adenocarcinoma.

Authors:  Faruk Tas; Senem Karabulut; Elif Bilgin; Leyla Kılıc; Rumeysa Ciftci; Derya Duranyildiz
Journal:  J Gastrointest Cancer       Date:  2013-12

7.  The association between plasma fibrinogen levels and lung cancer: a meta-analysis.

Authors:  Ke Zhang; Ye Xu; Shanyue Tan; Xueyan Wang; Mulong Du; Lingxiang Liu
Journal:  J Thorac Dis       Date:  2019-11       Impact factor: 2.895

8.  An application of machine learning based on real-world data: Mining features of fibrinogen in clinical stages of lung cancer between sexes.

Authors:  Fangtao Yin; Hongyu Zhu; Songlin Hong; Chen Sun; Jie Wang; Mengting Sun; Lin Xu; Xiaoxiao Wang; Rong Yin
Journal:  Ann Transl Med       Date:  2021-04

9.  FRAGMATIC: a randomised phase III clinical trial investigating the effect of fragmin added to standard therapy in patients with lung cancer.

Authors:  Gareth O Griffiths; Sarah Burns; Simon I Noble; Fergus R Macbeth; David Cohen; Timothy S Maughan
Journal:  BMC Cancer       Date:  2009-10-06       Impact factor: 4.430

10.  D-dimer level is related to the prognosis of patients with small cell lung cancer.

Authors:  Xuqin Jiang; Xiaodong Mei; Huimei Wu; Xiaojuan Chen
Journal:  Ann Transl Med       Date:  2017-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.