Dataset Information

Low lncRNA ZNF385D?AS2 expression and its prognostic significance in liver cancer.

ABSTRACT: Hepatocellular carcinoma (HCC) is a common digestive system disease with no curative treatment. Zinc finger protein 385D antisense RNA 2 (ZNF385D?AS2) is a long non?coding RNA (lncRNA) that has been predicted to function in human diseases, including several types of cancer. Yet, it has not been investigated in relation to liver cancer. Thus, the present study was designed with an aim to elucidate the prognostic significance of lncRNA ZNF385D?AS2 in HCC. The Cancer Genome Atlas?Liver Hepatocellular Carcinoma (TCGA?LIHC) collection of data was utilized to analyze the expression of lncRNA ZNF385D?AS2 in liver cancer. Then Chi?square tests were used to evaluate the correlation between clinical characteristics and lncRNA ZNF385D?AS2 expression. The significance of lncRNA ZNF385D?AS2 in patient prognosis was evaluated using Kaplan?Meier curves and Cox analysis. Concomitantly, Gene Set Enrichment Analysis (GSEA) was performed to analyze the most closely related cytological behavior. Finally, we used the Database for Annotation, Visualization and Integrated Discovery (DAVID) and KOBAS software and data from the Gene Expression Omnibus (GEO) database to analyze the possible competing endogenous RNA (ceRNA) network pattern as well as the co?expression network in liver cancer. Based on the results, analysis of RNA?Seq gene expression data for 303 patients with primary tumors revealed low expression of ZNF385D?AS2 in liver cancer. Low expression of ZNF385D?AS2 was found to be significantly associated with sex (P=0.050), T stage (P=0.049), M stage (P=0.040), N stage (P<0.001) and clinical stage (P=0.037). Patients with ZNF385D?AS2 low?expression liver cancers had a shorter median overall survival compared with the patients with ZNF385D?AS2 high?expression liver cancers (P=0.0079). Cox analysis identified ZNF385D?AS2 low?expression as an independent prognostic variable (AUC=0.594) for overall survival in liver cancer patients. Co?expression and ceRNA predictive analysis data suggested that there may be a regulatory signaling axis between ZNF385D?AS2 and miR?96 and miR?182. In conclusion, our results suggests that low expression of ZNF385D?AS2 is predictive of a poor prognosis of liver cancer patients.

SUBMITTER: Zhang Z

PROVIDER: S-EPMC6667919 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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Low lncRNA ZNF385D‑AS2 expression and its prognostic significance in liver cancer.

Zhang Ze Z Wang Shouqian S Liu Yahui Y Meng Zihui Z Chen Fangfang F

Oncology reports 20190716 3

Hepatocellular carcinoma (HCC) is a common digestive system disease with no curative treatment. Zinc finger protein 385D antisense RNA 2 (ZNF385D‑AS2) is a long non‑coding RNA (lncRNA) that has been predicted to function in human diseases, including several types of cancer. Yet, it has not been investigated in relation to liver cancer. Thus, the present study was designed with an aim to elucidate the prognostic significance of lncRNA ZNF385D‑AS2 in HCC. The Cancer Genome Atlas‑Liver Hepatocellul ...[more]

PMID: 31322274

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Project description:Hepatocellular carcinoma (HCC) is a common disease of the digestive system with no curative treatments. Long noncoding RNA tyrosine protein kinase transmembrane receptor 1 antisense RNA 1 (lncRNA ROR1‑AS1) is an lncRNA whose functions have been predicted in human diseases; however, its important role in cancer has been probed only in mantle cell lymphoma, not in HCC. Therefore, the present study aimed to elucidate the prognostic significance of lncRNA ROR1‑AS1 in HCC. The Cancer Genome Atlas Liver Hepatocellular Carcinoma was used to analyze the expression of ROR1‑AS1 in liver cancer. χ2 tests were performed to evaluate associations between clinical characteristics and ROR1‑AS1 expression. The role of ROR1‑AS1 in HCC prognosis was assessed using Kaplan‑Meier curves and proportional hazards model (Cox) analysis. Gene set enrichment analysis was performed by using a Gene Expression Omnibus dataset. At the same time, Multi Experiment Matrix was used to predict genes that may be co‑expressed with ROR1‑AS1. The Database for Annotation, Visualization and Integrated Discovery and KO‑Based Annotation System were used to analyze the most closely associated cytological behaviors and pathways in HCC. Then, the genes in the three databases were integrated to screen mRNAs, microRNAs and lncRNAs that had co‑expression relationships with ROR1‑AS1. Cytoscape, Search Tool for the Retrieval of Interacting Genes/Proteins and Molecular Evolutionary Genetics Analysis were used to map potential regulatory networks and developmental relationships associated with ROR1‑AS1. Finally, 12 genes most closely associated with ROR1‑AS1 were identified, and their relationship was described using a Circos plot. The results showed that ROR1‑AS1 was upregulated in HCC, and its expression was related to clinical stage, T stage and N stage. Furthermore, Kaplan‑Meier curves and Cox analysis indicated that high expression of ROR1‑AS1 was associated with poor prognosis, and that ROR1‑AS1 was an independent risk factor for HCC. Co‑expression data suggested that there may be a large regulatory network of 45 genes with indirect associations with ROR1‑AS1, a small regulatory network of 15 genes with direct or indirect regulatory relationships, and a special regulatory network containing 12 genes directly associated with ROR1‑AS1. The present findings indicated that high expression of ROR1‑AS1 suggests poor prognosis in patients with HCC.

Project description:ImportanceIt is unclear whether ERBB2-low breast cancer should be considered an individual biologic subtype distinct from ERBB2-0 breast cancer.ObjectiveTo investigate whether low ERBB2 expression is associated with distinct clinicopathologic characteristics and prognosis among patients with hormone receptor (HR)-positive and triple-negative breast cancer (TNBC).Design, setting, and participantsThis cohort study was conducted using data from a prospectively maintained institutional database on all consecutive patients with breast cancer undergoing surgery between January 2016 and March 2021 at Dana-Farber Brigham Cancer Center. The study included 5235 patients with stage I through III, ERBB2-negative invasive breast cancer. Tumors were classified as ERBB2-low if they had an ERBB2 immunohistochemical (IHC) score of 1+ or 2+ with negative in situ hybridization assay and ERBB2-0 if they had an ERBB2 IHC score of 0. Data were analyzed from September 2021 through January 2022.ExposuresStandard treatment according to institutional guidelines.Main outcomes and measuresComparison of clinicopathologic characteristics and disease outcomes (pathologic complete response rate [pCR], disease-free survival, distant disease-free survival, and overall survival) between patients with ERBB2-low and ERBB2-0 breast cancer.ResultsAmong 5235 patients with ERBB2-negative invasive breast cancer (5191 [99.2%] women; median [range] age at primary surgery, 59.0 [21.0-95.0] years), 2917 patients (55.7%) and 2318 patients (44.3%) had ERBB2-low and ERBB2-0 tumors, respectively. Expression of HR was significantly more common among ERBB2-low compared with ERBB2-0 tumors (2643 patients [90.6%] vs 1895 patients [81.8%]; P < .001). The rate of ERBB2-low tumors increased progressively, from 296 of 739 estrogen receptor (ER)-negative tumors (40.1%) to 31 of 67 ER-low (ie, ER 1%-9%) tumors (46.3%), 37 of 67 ER-moderate (ie, ER, 10%-49%) tumors (55.2%), 2047 of 3542 ER-high (ie, ER, 50%-95%) tumors (57.8%), and 499 of 803 ER-very high (ie, ER > 95%) tumors (62.1%) (P < .001). Among 675 patients receiving neoadjuvant chemotherapy, those with ERBB2-0 tumors experienced higher pCR rates (95 patients [26.8%] vs 53 patients [16.6%]; P = .002). However, there were no statistically significant differences in pCR rate between ERBB2-low and ERBB2-0 tumors when separately analyzing HR-positive, ER-low, HR-positive without ER-low, or TNBC tumors. In exploratory survival analysis, no differences by ERBB2-low expression in disease-free survival, distant disease-free survival, or overall survival were observed among patients with HR-positive tumors or TNBC.Conclusions and relevanceThe results of this cohort study did not support the interpretation of ERBB2-low breast cancer as a distinct biologic subtype. ERBB2-low expression was positively associated with level of ER expression, and ER-low tumors were enriched among ERBB2-0 tumors, suggesting that, given the worse prognosis of ER-low tumors, they may be associated with confounding of prognostic analyses of ERBB2-low expression.

Project description:Based on the importance of basement membrane (BM) in cancer invasion and metastasis, we constructed a BM-associated lncRNA risk model to group bladder cancer (BCa) patients. Transcriptional and clinical data of BCa patients were downloaded from The Cancer Genome Atlas (TCGA), and the expressed genes of BM-related proteins were obtained from the BM-BASE database. We download the GSE133624 chip data from the GEO database as an external validation dataset. We screened for statistically different BM genes between tumors and adjacent normal tissues. Co-expression analysis of lncRNAs and differentially expressed BM genes was performed to identify BM-related lncRNAs. Then, differentially expressed BM-related lncRNAs (DEBMlncRNAs) between tumor and normal tissues were identified. Univariate/multivariate Cox regression analysis was performed to select lncRNAs for risk assessment. LASSO analysis was performed to build a prognostic model. We constructed a model containing 8 DEBMlncRNAs (AC004034.1, AL662797.1, NR2F1-AS1, SETBP1-DT, AC011503.2, AC093010.2, LINC00649 and LINC02321). The prognostic risk model accurately predicted the prognosis of BCa patients and revealed that tumor aggressiveness and distant metastasis were associated with higher risk scores. In this model, we constructed a nomogram to assist clinical decision-making based on clinicopathological characteristics such as age, T, and N. The model also showed good predictive power for the tumor microenvironment and mutational burden. We validated the expression of eight lncRNAs using the dataset GSE133624 and two human bladder cancer cell lines (5637, BIU-87) and examined the expression and cellular localization of LINC00649 and AC011503.2 using a human bladder cancer tissue chip. We found that knockdown of LINC00649 expression in 5637 cells promoted the proliferation of 5637 cells.Our eight DEBMlncRNA risk models provide new insights into predicting prognosis, tumor invasion, and metastasis in BCa patients.

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Low lncRNA ZNF385D?AS2 expression and its prognostic significance in liver cancer.

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Low lncRNA ZNF385D‑AS2 expression and its prognostic significance in liver cancer.

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