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  • br in silico analysis br According


    5.3. in silico analysis
    According to RNAsnp prediction, which predicts the effects of SNPs on the secondary structure of RNA, there is an alteration in the sec-ondary structure of WRAP53 RNA by rs2287499 but there was no change in p53 RNA by rs1042522 (Fig. 2). Results from Fathmm, which predicts the probability of SNPs associated with cancer, shows dama-ging status for R72P substitution but tolerating status for R68G sub-stitution. The RNA alteration of WRAP53 doesn't account for con-sequent protein alteration as predicted with other software.
    In conclusion, we observed no significant association between polymorphisms of our interest with an increased risk of breast cancer, but there was a correlation between rs1042522 and the size of the tumor. In addition, estimated GC haplotype has conferred an increased risk occurrence. Altogether, our data need to be verified by other stu-dies with the larger population for applying these findings to the clin-ical outcome. However, more comprehensive investigations in relation to TP53 and WRAP53 at transcriptional and translational levels should be conducted to shed lights into the complex network of regulations leading to malignancies predisposition.
    This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
    Declarations of interest
    et al., 2014. Single-strand conformational polymorphism analysis of a common single nucleotide variation in WRAP53 gene, rs2287499, and evaluating its association in relation to breast cancer risk and prognosis among Iranian-Azeri population. Med. Oncol. 31 (9), 168.
    Cold Spring Harbor Perspectives in Medicine. pp. a026039.
    Association study of TP53 polymorphisms with lung cancer in a Korean population. J.
    et al., 2017. Recommended guidelines for validation, quality control, and reporting of
    Parrales, A., Iwakuma, T., 2015. Targeting oncogenic mutant p53 for cancer therapy.
    Pfister, N.T., Prives, C., 2016. Transcriptional Regulation by Wild-Type and Cancer-Related Mutant Forms of p53. Cold Spring Harbor Perspectives in Medicine.
    N. Pouladi et al.
    Reigosa, A., Hardisson, D., Sanzi, F., Caleiras, E., Saldivia, F., Fernandez, A., 2016. Subclassification of the molecular types of breast cancer based on the SYBR Safe DNA Gel Stain of immunohistochemical markers and evolution. Investig. Clin. 57 (2), 187–216.
    122 European Journal of Surgical Oncology xxx (xxxx) xxx
    Contents lists available at ScienceDirect
    European Journal of Surgical Oncology
    Association of the age-adjusted Charlson Comorbidity Index and systemic inflammation with survival in gastric cancer patients after radical gastrectomy
    a Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
    b Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
    c Key Laboratory of SYBR Safe DNA Gel Stain Ministry of Education of Gastrointestinal Cancer, Fujian, Medical University, Fuzhou, Fujian Province, China
    d Fujian Key Laboratory of Tumor Microbiology, Fujian Medical University, Fuzhou, China
    Article history:
    Received in revised form
    Available online xxx
    Gastric cancer
    Purpose: To examine the associations of the Age-Adjusted Charlson Comorbidity Index (ACCI) and pre-operative systemic inflammation with survival in gastric cancer (GC) patients who underwent radical gastrectomy.
    Methods: Data from patients with GC who underwent radical gastrectomy between January 2009 and December 2014 in Fujian Medical University Union Hospital were retrospectively analyzed. Univariate and multivariate Cox regression analyses were performed to identify the prognostic factors. The rela-tionship between the ACCI and systemic inflammation of the patients was explored, and the prognostic value of a new scoring system based on the ACCI and systemic inflammation (ANLR) was evaluated.
    Results: A total of 2257 patients with GC were included. The ACCI and neutrophil to lymphocyte ratio (NLR) were independent prognostic factors for overall survival (both P < 0.001) by multivariate analysis. A higher ACCI was an independent predictor of the increase in preoperative NLR (P < 0.001). Based on the preoperative ACCI and NLR, we established a novel marker, ANLR. Multivariate analysis showed that the ANLR was a significant independent predictor of 5-year OS (P < 0.001). The Harrell's C-statistics (C-index) of a model combining the ANLR and pTNM was 0.744 (95% CI: 0.728e0.760), which was significantly higher than the pTNM stage (0.717, 95% CI: 0.702e0.731; P < 0.001).