scholarly journals Syndecan Family Gene and Protein Expression and Their Prognostic Values for Prostate Cancer

2021 ◽  
Vol 22 (16) ◽  
pp. 8669
Author(s):  
Nilton José Santos ◽  
Caroline Nascimento Barquilha ◽  
Isabela Correa Barbosa ◽  
Rodrigo Tavares Macedo ◽  
Flávio Oliveira Lima ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Survival Data ◽  
Biochemical Recurrence ◽  
Genetically Engineered ◽  
The Cancer Genome Atlas ◽  
Rank Test ◽  
Mrna Levels ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Gene And Protein Expression

Prostate cancer (PCa) is the leading cause of cancer-associated mortality in men, and new biomarkers are still needed. The expression pattern and protein tissue localization of proteoglycans of the syndecan family (SDC 1–4) and syntenin-1 (SDCBP) were determined in normal and prostatic tumor tissue from two genetically engineered mouse models and human prostate tumors. Studies were validated using SDC 1–4 and SDCBP mRNA levels and patient survival data from The Cancer Genome Atlas and CamCAP databases. RNAseq showed increased expression of Sdc1 in Pb-Cre4/Ptenf/f mouse Pca and upregulation of Sdc3 expression and downregulation of Sdc2 and Sdc4 when compared to the normal prostatic tissue in Pb-Cre4/Trp53f/f-;Rb1f/f mouse tumors. These changes were confirmed by immunohistochemistry. In human PCa, SDC 1–4 and SDCBP immunostaining showed variable localization. Furthermore, Kaplan–Meier analysis showed that patients expressing SDC3 had shorter prostate-specific survival than those without SDC3 expression (log-rank test, p = 0.0047). Analysis of the MSKCC-derived expression showed that SDC1 and SDC3 overexpression is predictive of decreased biochemical recurrence-free survival (p = 0.0099 and p = 0.045, respectively), and SDC4 overexpression is predictive of increased biochemical recurrence-free survival (p = 0.035). SDC4 overexpression was associated with a better prognosis, while SDC1 and SDC3 were associated with more aggressive tumors and a worse prognosis.

scholarly journals Prediction of Biochemical Recurrence-Free Survival of Prostate Cancer Patients Leveraging Multiple Gene Expression Profiles in Tumor Microenvironment

2021 ◽  
Vol 11 ◽  
Author(s):  
Rui Zhou ◽  
Yuanfa Feng ◽  
Jianheng Ye ◽  
Zhaodong Han ◽  
Yuxiang Liang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Tumor Microenvironment ◽  
Cancer Patients ◽  
Cancer Progression ◽  
Biochemical Recurrence ◽  
Expression Profiles ◽  
The Cancer Genome Atlas ◽  
Cell Contact ◽  
Recurrence Free Survival ◽  
Free Survival

Tumor-adjacent normal (TAN) tissues, which constitute tumor microenvironment and are different from healthy tissues, provide critical information at molecular levels that can be used to differentiate aggressive tumors from indolent tumors. In this study, we analyzed 52 TAN samples from the Cancer Genome Atlas (TCGA) prostate cancer patients and developed a 10-gene prognostic model that can accurately predict biochemical recurrence-free survival based on the profiles of these genes in TAN tissues. The predictive ability was validated using TAN samples from an independent cohort. These 10 prognostic genes in tumor microenvironment are different from the prognostic genes detected in tumor tissues, indicating distinct progression-related mechanisms in two tissue types. Bioinformatics analysis showed that the prognostic genes in tumor microenvironment were significantly enriched by p53 signaling pathway, which may represent the crosstalk tunnels between tumor and its microenvironment and pathways involving cell-to-cell contact and paracrine/endocrine signaling. The insight acquired by this study has advanced our knowledge of the potential role of tumor microenvironment in prostate cancer progression.

scholarly journals Increased GOLM1 Expression Independently Predicts Unfavorable Overall Survival and Recurrence-Free Survival in Lung Adenocarcinoma

2018 ◽  
Vol 25 (1) ◽  
pp. 107327481877800 ◽  
Author(s):  
Xi Liu ◽  
Lei Chen ◽  
Tao Zhang
Keyword(s):  
Overall Survival ◽  
Lung Adenocarcinoma ◽  
Survival Data ◽  
Methylation Status ◽  
Lung Squamous Cell Carcinoma ◽  
Prognostic Indicator ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Recurrence Free Survival ◽  
Free Survival

Golgi membrane protein 1 (GOLM1) is a transmembrane glycoprotein of the Golgi cisternae, which is implicated in carcinogenesis of multiple types of cancer. In this study, using data from the Gene Expression Omnibus and The Cancer Genome Atlas, we compared the expression of GOLM1 in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) and studied its prognostic value in terms of overall survival (OS) and recurrence-free survival (RFS) in these 2 subtypes of non-small cell lung cancer (NSCLC). Results showed that GOLM1 was significantly upregulated in both LUAD and LUSC tissues compared to the normal controls. However, GOLM1 expression was higher in LUAD tissues than in LUSC tissues. More importantly, using over 10 years’ survival data from 502 patients with LUAD and 494 patients with LUSC, we found that high GOLM1 expression was associated with unfavorable OS and RFS in patients with LUAD, but not in patients with LUSC. The following univariate and multivariate analyses confirmed that increased GOLM1 expression was an independent prognostic indicator of poor OS (hazard ratio [HR]: 1.30, 95% confidence interval [CI]: 1.11-1.54, P = .002) and RFS (HR: 1.37, 95% CI: 1.14-1.64, P = .001) in patients with LUAD. Of 511 cases with LUAD, 248 (48.5%) had heterozygous loss (−1), while 28 (5.5%) of 511 cases with LUAD had low-level copy gain (+1). In addition, we also found that the methylation status of 1 CpG site (chr9: 88,694,942-88,694,944) showed a weak negative correlation with GOLM1 expression (Pearson r = −0.25). Based on these findings, we infer that GOLM1 might serve as a valuable prognostic biomarker in LUAD, but not in LUSC. In addition, DNA copy number alterations and methylation might be 2 important mechanisms of dysregulated GOLM1 in LUAD.

scholarly journals Higher Expression of the Androgen-Regulated Gene PSA/HK3 mRNA in Prostate Cancer Tissues Predicts Biochemical Recurrence-Free Survival

2008 ◽  
Vol 14 (3) ◽  
pp. 758-763 ◽  
Author(s):  
Joseph R. Sterbis ◽  
Chunling Gao ◽  
Bungo Furusato ◽  
Yongmei Chen ◽  
Syed Shaheduzzaman ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Biochemical Recurrence ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Cancer Tissues

Impact of testosterone replacement therapy after radiation therapy on prostate cancer outcomes.

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 99-99
Author(s):  
Reith Sarkar ◽  
J Kellogg Parsons ◽  
John Paul Einck ◽  
Arno James Mundt ◽  
A. Karim Kader ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Overall Survival ◽  
Radiation Therapy ◽  
Cancer Patients ◽  
Biochemical Recurrence ◽  
Testosterone Replacement ◽  
Testosterone Replacement Therapy ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Treatment Groups

99 Background: Currently there is little data to guide the use of testosterone replacement therapy in prostate cancer patients who have received radiation therapy (RT). We sought to evaluate the impact of post-RT testosterone replacement on prostate cancer outcomes in a large national cohort. Methods: We conducted a population-based cohort study using the Veterans Affairs Informatics and Computing Infrastructure. We identified node-negative and non-metastatic prostate cancer patients diagnosed between 2001-2015 treated with RT. We excluded patients for missing covariate and follow-up data. Receipt of testosterone was coded as a time-dependent covariate. Other covariates included: age, Charlson Comorbidity index, diagnosis year, body mass index, race, PSA, clinical T/N/M stage, Gleason score, and receipt of hormone therapy. We evaluated prostate cancer-specific survival, overall survival, and biochemical recurrence free survival using multivariable Cox regression. Results: Our cohort included 41,544 patients, of whom 544 (1.3%) received testosterone replacement after RT. There were no differences in Charlson comorbidity, clinical T stage, median pre-treatment PSA or Gleason score between treatment groups. Testosterone patients were more likely to be of younger age, non-black, have a lower median post-treatment PSA nadir (0.1 vs. 0.2; p < 0.001), have higher BMI, and have used hormone therapy (46.7% vs 40.3%; p = 0.003). Median duration of ADT usage was equivalent between treatment groups (testosterone: 185 days vs. non-testosterone: 186 days, p = 0.77). The median time from RT to TRT was 3.52 years. After controlling for differences in covariates between treatment groups, we found no difference in prostate cancer specific mortality (HR 1.02; 95% CI 0.62-1.67; p = 0.95), overall survival (HR 1.02; 95% CI 0.84-1.24; p = 0.86), non-cancer mortality (HR 1.02; 95% CI 0.82-1.27; p = 0.86) biochemical recurrence free survival (HR 1.07; 95% CI 0.90-1.28; p = 0.45). Conclusions: Our results suggest that testosterone replacement is safe in prostate cancer patients who have received RT. Prospective data are required to confirm the safety of post-RT testosterone replacement.

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