scholarly journals S-phase fraction as an independent prognostic factor of long-term overall survival in patients with early-stage or locally advanced invasive breast carcinoma

Cancer ◽  
2005 ◽  
Vol 105 (6) ◽  
pp. 476-482 ◽  
Author(s):  
Philippe Vielh ◽  
Mathieu Carton ◽  
Eliane Padoy ◽  
Yann de Rycke ◽  
Jerzy Klijanienko ◽  
...  
2007 ◽  
Vol 10 (1) ◽  
pp. 36
Author(s):  
Jin Hae Bae ◽  
Jeong Won Bae ◽  
Sang Uk Woo ◽  
Chul Whan Kim ◽  
Jae Bok Lee ◽  
...  

2016 ◽  
Vol 468 (4) ◽  
pp. 493-502 ◽  
Author(s):  
Arvydas Laurinavicius ◽  
Benoit Plancoulaine ◽  
Allan Rasmusson ◽  
Justinas Besusparis ◽  
Renaldas Augulis ◽  
...  

2006 ◽  
Vol 24 (34) ◽  
pp. 5414-5418 ◽  
Author(s):  
Sing-fai Leung ◽  
Benny Zee ◽  
Brigette B. Ma ◽  
Edwin P. Hui ◽  
Frankie Mo ◽  
...  

Purpose To evaluate the effect of combining circulating Epstein-Barr viral (EBV) DNA load data with TNM staging data in pretherapy prognostication of nasopharyngeal carcinoma (NPC). Patients and Methods Three hundred seventy-six patients with all stages of NPC were studied. Pretreatment plasma/serum EBV DNA concentrations were quantified by a polymerase chain reaction assay. Determinants of overall survival were assessed by multivariate analysis. Survival probabilities of patient groups, segregated by clinical stage (I, II, III, or IV) alone and also according to EBV DNA load (low or high), were compared. Results Pretherapy circulating EBV DNA load is an independent prognostic factor for overall survival in NPC. Patients with early-stage disease were segregated by EBV DNA levels into a poor-risk subgroup with survival similar to that of stage III disease and a good-risk subgroup with survival similar to stage I disease. Conclusion Pretherapy circulating EBV DNA load is an independent prognostic factor to International Union Against Cancer (UICC) staging in NPC. Combined interpretation of EBV DNA data with UICC staging data leads to alteration of risk definition of patient subsets, with improved risk discrimination in early-stage disease. Validation studies are awaited.


PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e55901 ◽  
Author(s):  
Fabien Reyal ◽  
David Hajage ◽  
Alexia Savignoni ◽  
Jean-Guillaume Feron ◽  
Marc Andrew Bollet ◽  
...  

2009 ◽  
Vol 27 (11) ◽  
pp. 1746-1752 ◽  
Author(s):  
Andrea Merlo ◽  
Patrizia Casalini ◽  
Maria Luisa Carcangiu ◽  
Chiara Malventano ◽  
Tiziana Triulzi ◽  
...  

Purpose The transcription factor forkhead box P3 (FOXP3) up- or downregulates a large number of genes and has been recently reported to be expressed in tumor cells. We investigated the prognostic importance of FOXP3 expression in patients with breast cancer. Patients and Methods The expression patterns of FOXP3 were characterized by immunohistochemistry in primary breast carcinoma specimens from patients of the Milan 3 and 1 trials. Kaplan-Meier analysis and Cox proportional hazards regression modeling were used to assess the overall survival, distant metastasis-free survival, and local relapse cumulative incidence, according to the presence or absence of FOXP3 expression. Results FOXP3 expression in tumors was associated with worse overall survival probability and the risk increased with increasing FOXP3 immunostaining intensity. FOXP3 was also a strong prognostic factor for distant metastases-free survival but not for local recurrence risk. In multivariate analysis FOXP3 resulted an independent prognostic factor and the hazard ratio of FOXP3 expression and of lymph node positivity were similar. In the Milan 3 trial, the probability of 10-year survival in node-negative subgroup was 100% for FOXP3-negative and 82% for FOXP3-positive patients; in node-positive subgroup 82% for FOXP3-negative and 41% for FOXP3-positive patients. Even in the Milan 1 trial the lack of FOXP3 expression in node-positive subgroup was related to a significantly better prognosis than in FOXP3-positive patients (10-year survival probability, 89% v 59%). Conclusion The data identify FOXP3 expression as a new independent prognostic factor in breast carcinoma, which might help to improve the selection of patients for appropriate therapy.


2021 ◽  
Vol 19 (2) ◽  
Author(s):  
A. K. Padhy ◽  
Mahapatra Manoranjan ◽  
Mishra Jagannath ◽  
Subhashree Rout ◽  
Mohapatra Janmejay ◽  
...  

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