Literature DB >> 12022551

Cell membrane fluidity and prognosis of lung cancer.

Miha Sok1, Marjeta Sentjurc, Milan Schara, Janez Stare, Tomaz Rott.   

Abstract

BACKGROUND: Membranes of tumor cells have been found to posses higher fluidity than membranes of non-tumor cells. Plasma membrane fluidity is significantly correlated with malignant potential of these cells.
METHODS: Seventy-five patients operated on for lung cancer were studied prospectively. During the operation, lung tumor samples were taken from the resected lung for evaluation by electron paramagnetic resonance. The fluidity variable H13, which is proportional to the plasma membrane fluidity, was determined from the electron paramagnetic resonance spectra. The association between H13 and survival was determined by survival analysis using Kaplan-Meier curves and Cox regression.
RESULTS: Pathologic TNM stage and the fluidity variable H13 were the only prognostic variables significantly associated with survival time in multivariate proportional hazards regression model. Thus, H13 was shown to be an independent prognostic variable for survival, which was also confirmed by a separate analysis relating the TNM stage and H13. Dividing the patients into two groups, one with an H13 value higher than the median and another with H13 below the median, resulted in significantly different survival curves (p = 0.01).
CONCLUSIONS: Patients with high plasma membrane fluidity, indicated by high H13 of the resected lung tumor tissue, seem to have poorer prognosis than those with less fluid membranes. We suggest that the fluidity variable could be used as an independent additional prognostic factor and a tool to identify patients who may be helped by adjuvant postoperative therapy.

Entities:  

Mesh:

Year:  2002        PMID: 12022551     DOI: 10.1016/s0003-4975(02)03458-6

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  35 in total

Review 1.  The use of therapeutic peptides to target and to kill cancer cells.

Authors:  R J Boohaker; M W Lee; P Vishnubhotla; J M Perez; A R Khaled
Journal:  Curr Med Chem       Date:  2012       Impact factor: 4.530

Review 2.  Lipids and cancer: Emerging roles in pathogenesis, diagnosis and therapeutic intervention.

Authors:  Lisa M Butler; Ylenia Perone; Jonas Dehairs; Leslie E Lupien; Vincent de Laat; Ali Talebi; Massimo Loda; William B Kinlaw; Johannes V Swinnen
Journal:  Adv Drug Deliv Rev       Date:  2020-07-23       Impact factor: 15.470

3.  Laurdan fluorescence lifetime discriminates cholesterol content from changes in fluidity in living cell membranes.

Authors:  Ottavia Golfetto; Elizabeth Hinde; Enrico Gratton
Journal:  Biophys J       Date:  2013-03-19       Impact factor: 4.033

4.  Screening of FOXD3 targets in lung cancer via bioinformatics analysis.

Authors:  Wenhua Jiang; Pengfei Liu; Xiaodong Li
Journal:  Oncol Lett       Date:  2017-12-21       Impact factor: 2.967

5.  Acetyl-11-keto-β-boswellic acid modulates membrane dynamics in benzo(a)pyrene-induced lung carcinogenesis.

Authors:  Priti Bhardwaj; Manoj Kumar; Sunil Kumar Dhatwalia; Mohan Lal Garg; Devinder Kumar Dhawan
Journal:  Mol Cell Biochem       Date:  2019-06-04       Impact factor: 3.396

6.  Membrane-targeted nanotherapy with hybrid liposomes for tumor cells leading to apoptosis.

Authors:  Yuji Komizu; Sayuri Nakata; Koichi Goto; Yoko Matsumoto; Ryuichi Ueoka
Journal:  ACS Med Chem Lett       Date:  2011-01-13       Impact factor: 4.345

7.  Screening of chemopreventive effect of naringenin-loaded nanoparticles in DMBA-induced hamster buccal pouch carcinogenesis by FT-IR spectroscopy.

Authors:  N Krishnakumar; N K Sulfikkarali; S Manoharan; R Madhavan Nirmal
Journal:  Mol Cell Biochem       Date:  2013-06-09       Impact factor: 3.396

8.  Targeting acidity in diseased tissues: mechanism and applications of the membrane-inserting peptide, pHLIP.

Authors:  John C Deacon; Donald M Engelman; Francisco N Barrera
Journal:  Arch Biochem Biophys       Date:  2014-11-18       Impact factor: 4.013

9.  Membrane physical properties influence transmembrane helix formation.

Authors:  Francisco N Barrera; Justin Fendos; Donald M Engelman
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-20       Impact factor: 11.205

10.  Inhibition of stearoylCoA desaturase activity blocks cell cycle progression and induces programmed cell death in lung cancer cells.

Authors:  Daniel Hess; Jeffrey W Chisholm; R Ariel Igal
Journal:  PLoS One       Date:  2010-06-30       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.