PCNA and anti-apoptotic Mcl-1 proteins predict disease-free survival in oral cancer patients treated with definitive radiotherapy

Oral Oncology ◽  
2010 ◽  
Vol 46 (9) ◽  
pp. 688-693 ◽  
Author(s):  
Sanchita Mallick ◽  
Jaiprakash Agarwal ◽  
Sadhana Kannan ◽  
Sagar Pawar ◽  
Shubhada Kane ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Cancer Patients ◽  
Disease Free Survival ◽  
Free Survival ◽  
Definitive Radiotherapy ◽  
Oral Cancer Patients ◽  
Disease Free

scholarly journals 306. Role of adjunct Ayurvedic treatment in increasing disease free survival and improving quality of life in cancer patients

2018 ◽  
Vol 9 (2) ◽  
pp. S13
Author(s):  
Shrinivas Datar ◽  
Swapna Kulkarni ◽  
Nilambari Patil ◽  
Amruta Salunkhe ◽  
Suchita Vaidya ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Cancer Patients ◽  
Disease Free Survival ◽  
Free Survival ◽  
Ayurvedic Treatment ◽  
Disease Free

Neutrophil-lymphocyte index as prognostic factor for overall survival and disease-free survival in breast cancer patients

2020 ◽  
Vol 33 (4) ◽  
pp. 137-144
Author(s):  
Guillermo Peralta-Castillo ◽  
Antonio Maffuz-Aziz ◽  
Mariana Sierra-Murguía ◽  
Sergio Rodriguez-Cuevas
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Prognostic Factor ◽  
Cancer Patients ◽  
Disease Free Survival ◽  
Breast Cancer Patients ◽  
Free Survival ◽  
Disease Free

scholarly journals Use of Germline Genetic Variability for Prediction of Chemoresistance and Prognosis of Breast Cancer Patients

Cancers ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 511 ◽  
Author(s):  
Viktor Hlavac ◽  
Maria Kovacova ◽  
Katerina Elsnerova ◽  
Veronika Brynychova ◽  
Renata Kozevnikovova ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Disease Free Survival ◽  
Breast Cancer Patients ◽  
Cytotoxic Therapy ◽  
Free Survival ◽  
Testing Phase ◽  
Major Allele Frequency ◽  
Set Up ◽  
Disease Free

The aim of our study was to set up a panel for targeted sequencing of chemoresistance genes and the main transcription factors driving their expression and to evaluate their predictive and prognostic value in breast cancer patients. Coding and regulatory regions of 509 genes, selected from PharmGKB and Phenopedia, were sequenced using massive parallel sequencing in blood DNA from 105 breast cancer patients in the testing phase. In total, 18,245 variants were identified of which 2565 were novel variants (without rs number in dbSNP build 150) in the testing phase. Variants with major allele frequency over 0.05 were further prioritized for validation phase based on a newly developed decision tree. Using emerging in silico tools and pharmacogenomic databases for functional predictions and associations with response to cytotoxic therapy or disease-free survival of patients, 55 putative variants were identified and used for validation in 805 patients with clinical follow up using KASPTM technology. In conclusion, associations of rs2227291, rs2293194, and rs4376673 (located in ATP7A, KCNAB1, and DFFB genes, respectively) with response to neoadjuvant cytotoxic therapy and rs1801160 in DPYD with disease-free survival of patients treated with cytotoxic drugs were validated and should be further functionally characterized.

Sign in / Sign up

Export Citation Format

Share Document