1438P - Prognostic role of lipid profile in patients with advanced cancer

Date 01 October 2012
Event ESMO Congress 2012
Session Poster presentation III
Topics Cancer Aetiology, Epidemiology, Prevention
Presenter Filomena Panzone
Authors F. Panzone1, C. Madeddu2, A. Macciò3, M.C. Cau2, G. Antoni2, R. Serpe2, G. Mantovani4
  • 1Oncologia Medica 1, Azienda Ospedaliero Universitaria Cagliari, 09042 - Monserrato/IT
  • 2Oncologia Medica 1, Azienda Ospedaliero Universitaria Cagliari, IT-09042 - Monserrato/IT
  • 3Department Of Obstetrics And Gynecology, Sirai Hospital Carbonia, Carbonia/IT
  • 4Azienda Ospedaliero Universitaria Cagliari, 09042 - Monserrato/IT



Alterations of lipid metabolism and inflammatory parameters are frequently observed in cancer patients, especially at advanced stage, and are associated with poor prognosis; the pathogenetic mechanisms are not yet fully known and the identification of effective treatment is still far away. This study aimed to evaluate the lipid and inflammatory profile in cancer patients at diagnosis and to assess the correlation with clinical, nutritional, metabolic/functional and quality of life parameters.


From June 2011 to March 2012, 116 patients with a new diagnosis of cancer (breast, lung, gynecological, gastrointestinal tract) were enrolled. Plasma lipids (i.e. total cholesterol, TC; high-density lipoprotein, HDL; low-density lipoprotein cholesterol, LDL; and triglyceride,TG), indices of inflammation (i.e. erythrocyte sedimentation rate, C reactive protein [CRP], ferritin and inflammatory cytokines) and oxidative stress (reactive oxygen species, ROS; and antioxidant enzymes, SOD and GPx) were analyzed. The laboratory data obtained were correlated with clinical variables such as sex, age, ECOG PS, Glasgow prognostic score (GPS), quality of life, site and stage of disease and survival.


Patients with advanced disease had a lower levels of fatty acids than patients at early stage. Cholesterol levels (TC, HDL and LDL) were positively correlated with survival and inversely with the GPS and stage. TG showed a direct correlation with stage only in patients with colon cancer. An inverse correlation between the levels of TC and the parameters of inflammation, in particular CRP ad IL-6, was observed. In the regression analysis IL-6 and CRP were predictors of TC and HDL, respectively. Albumin, a well known parameter of nutritional status, showed a direct correlation with HDL cholesterol levels, as in the general population.


Our results confirm the pathogenic role of chronic inflammation in inducing changes of lipid metabolism that characterize cancer patients. Lipid profile at diagnosis was correlated with prognostic factors such as stage of disease, GPS and survival.


All authors have declared no conflicts of interest.