WITHDRAWN: Optimal subset of feature miRNAs consisting of 7 miRNAs that can serve as a novel diagnostic and prognostic predictor for the progression of cervical cancer DOI Open Access
Shanshan Qin, Yingchun Gao, Yijun Yang

et al.

Oncotarget, Journal Year: 2018, Volume and Issue: 0(0)

Published: Jan. 2, 2018

// Shanshan Qin 1 , Yingchun Gao Yijun Yang Juanpeng Yu Fei Meng Ting Zhang and Can Shi Department of Obstetrics Gynecology, Huai'an First People’s Hospital, Nanjing Medical University, Huai'an, Jiangsu 223300, P.R. China Correspondence to: Shi, email: [email protected] Keywords: cervical cancer; biomarker; miRNA; prognosis; progression Received: September 07, 2017      Accepted: November 13, Epub: January 02, 2018 ABSTRACT Objective: Cervical cancer is the second most commonly diagnosed in women. Novel prognostic biomarkers are needed to predict cancer. Results: In total, 44 significantly differentially expressed miRNAs were identified. An optimal subset 7 feature was identified, including hsa-miR-144, hsa-miR-147b, hsa-miR-218-2, hsa-miR-425, hsa-miR-451, hsa-miR-483, hsa-miR-486. The used construct an SVM classifier showed a good performance predicting pathologic stages samples. classification found be independent factor. Functional enrichment analysis indicated that these involved tumorigenesis. Materials Methods: expression data obtained from Cancer Genome Atlas database. MicroRNAs (miRNAs) between early- advanced-stage samples identified by analysis. for stage prediction delineated using random forest algorithm construction cancer-specific support vector machine (SVM) classifier. roles analyzed functional annotation. Conclusions: could potentially serve as novel diagnostic predictor

Language: Английский

LncRNA HOXA11-AS drives cisplatin resistance of human LUAD cells via modulating miR-454-3p/Stat3 DOI Creative Commons
Xia Zhao, Xiaoyou Li, Leilei Zhou

et al.

Cancer Science, Journal Year: 2018, Volume and Issue: 109(10), P. 3068 - 3079

Published: Aug. 12, 2018

Over the past several years, long non‐coding RNAs (lncRNAs) have attracted more and attention due to their special functions. They are vital biomarkers in multiple diseases. LncRNA HOMEOBOX A11 (HOXA11) has been found be aberrantly expressed some kinds of malignant tumors. In this study, we mainly discuss oncogenic role it promoting progression chemoresistance lung adenocarcinoma (LUAD) cells. The expression HOXA11‐AS was much stronger cisplatin‐resistant LUAD Based on Cancer Genome Atlas database, patients with high had shorter survival time. Additionally, knockdown caused positive changes cell activities LUAD. For example, proliferation migration were weakened, epithelial mesenchymal transition process reversed, apoptosis induced. These obvious cells treated cisplatin. Next, HOXA11‐AS/miR‐454‐3p/Stat3 (signal transducer activator transcription 3) pathway influence cisplatin resistance specifically acted as a competing endogenous RNA (ceRNA) combinations among these three genes demonstrated. Finally, rescue assays applied demonstrate ceRNA pattern consisting HOXA11‐AS, miR‐454‐3p Stat3. conclusion, lncRNA promote human via miR‐454‐3p/Stat3 axis.

Language: Английский

Citations

113

LncRNA SLCO4A1-AS1 facilitates growth and metastasis of colorectal cancer through β-catenin-dependent Wnt pathway DOI Creative Commons
Jiangtao Yu, Zhiyang Han,

Ziquan Sun

et al.

Journal of Experimental & Clinical Cancer Research, Journal Year: 2018, Volume and Issue: 37(1)

Published: Sept. 10, 2018

Emerging evidence has shown long noncoding RNAs (lncRNAs) exert important roles in colorectal cancer (CRC) tumorigenesis. However, most lncRNAs involved this process remain undefined and the underlying molecular mechanisms mediated by are largely unknown. An unbiased screening was used to identify novel CRC according an online-available data dataset. In situ hybridization (ISH) qRT-PCR detect lncRNA expression patterns. CCK8, colony formation, fluorescence activated cell sorter (FACS), transwell, xenograft nude mouse model western blot assays were analyze functions of SLCO4A1-AS1. RNA-pulldown, blot, RNA (RNA-FISH) electrophoretic mobility shift assay (EMSA) utilized explore mechanism LncRNA SLCO4A1-AS1 significantly upregulated tissues its overexpression closely related with poor prognosis tumor metastasis. By knocking down SLCO4A1-AS1, we found that promoted proliferation, migration, invasion epithelial–mesenchymal transition (EMT) cells vitro, as well inhibited apoptosis. Moreover, dramatically delayed propagation vivo. Mechanistically, activates Wnt/β-catenin signaling. enhanced stability β-catenin impairing interaction GSKβ inhibiting phosphorylation. Finally, restoration protein level rescued migration SLCO4A1-AS1-depleted cells. serves oncogenic role through activating signaling pathway. And might be a useful biomarker for diagnosis prognosis.

Language: Английский

Citations

106

A novel strategy of integrated microarray analysis identifies CENPA, CDK1 and CDC20 as a cluster of diagnostic biomarkers in lung adenocarcinoma DOI
Wan-Ting Liu, Yang Wang, Jing Zhang

et al.

Cancer Letters, Journal Year: 2018, Volume and Issue: 425, P. 43 - 53

Published: March 31, 2018

Language: Английский

Citations

78

Radiation-Induced Long Noncoding RNAs in a Mouse Model after Whole-Body Irradiation DOI
Molykutty J. Aryankalayil, Sunita Chopra,

Joel Levin

et al.

Radiation Research, Journal Year: 2018, Volume and Issue: 189(3), P. 251 - 251

Published: Jan. 8, 2018

Long noncoding RNAs (lncRNAs) are emerging as key molecules in regulating many biological processes and have been implicated development disease pathogenesis. Biomarkers of cancer normal tissue response to treatment great interest precision medicine, well public health medical management, such for assessment radiation injury after an accidental or intentional exposure. Circulating functional RNAs, including microRNAs (miRNAs) lncRNAs, whole blood other body fluids potential valuable candidates biomarkers. Early prediction possible acute, intermediate delayed effects exposure enables timely therapeutic interventions. To address whether long could serve biomarkers biodosimetry we performed genome transcriptome analysis a mouse model whole-body irradiation. Differential lncRNA expression patterns were evaluated at 16, 24 48 h postirradiation total RNA isolated from mice exposed 1, 2, 4, 8 12 Gy X rays. Sham-irradiated animals served controls. Significant alterations the lncRNAs observed different doses various time points. We identified several radiation-induced known DNA damage immune response. targets tumor protein 53 (P53), Trp53cor1, Dino, Pvt1 Tug1 upstream regulator p53, Meg3, altered radiation. Gm14005 (Morrbid) Tmevpg1 regulated by across all points doses. These two important blood-based biomarkers; has recently shown play role inflammatory response, while regulation interferon gamma. Precise molecular biomarkers, likely involving diverse group inducible molecules, will not only enable effective use countermeasures but may also be used detect circumvent mitigate radiotherapy.

Language: Английский

Citations

51

A long non-coding RNA expression signature to predict survival of patients with colon adenocarcinoma DOI Open Access

Weinan Xue,

Jingwen Li, Fan Wang

et al.

Oncotarget, Journal Year: 2017, Volume and Issue: 8(60), P. 101298 - 101308

Published: Sept. 19, 2017

// Weinan Xue 1, * , Jingwen Li Fan Wang 2, Peng Han 1 Yanlong Liu and Binbin Cui Department of Colorectal Surgery, The Affiliated Tumor Hospital Harbin Medical University, Harbin, 150081, China 2 Epidemiology, School Public Health, These authors contributed equally to this work Correspondence to: Cui, email: [email protected] Liu, [email protected] Keywords: biomarkers, colon adenocarcinoma, expression profiles, long non-coding RNA Received: July 18, 2017 Accepted: August 27, Published: September 19, ABSTRACT Colon cancer is the most common type gastrointestinal still leading cause cancer-related mortality worldwide. Long RNAs (lncRNAs) have been proved be superior biomarkers in diagnosis prognosis than miRNAs protein-coding genes. In current study, our objective was detect novel lncRNA by analyzing profiles clinical data a large cohort patients with from Cancer Genome Atlas (TCGA). By using Cox regression analysis, we identified two lncRNAs ( SNHG6 CTD-2354A18.1 ) which could independent prognostic factors for predicting outcome adenocarcinoma. Then linear combination these ), termed two-lncRNA signature, developed training set as predictor OS validated testing entire patient set. This signature demonstrated significant performance both classified into groups significantly different OS. multivariate stratified analysis suggested that value other traditional variables. Functional might mainly involved transcription/translation-related or DNA repair-related biological processes. summary, results warrant further studies on will improve understanding mechanisms associated pathogenesis progression

Language: Английский

Citations

26

A potential prognostic prediction model of colon adenocarcinoma with recurrence based on prognostic lncRNA signatures DOI Creative Commons

Lipeng Jin,

Chenyao Li, Tao Liu

et al.

Human Genomics, Journal Year: 2020, Volume and Issue: 14(1)

Published: June 10, 2020

Abstract Background Colon adenocarcinoma (COAD) is one of the common gastrointestinal malignant diseases, with high mortality rate and poor prognosis due to delayed diagnosis. This study aimed construct a prognostic prediction model for patients colon recurrence. Methods Differently expressed RNAs (DERs) between recurrence non-recurrence COAD samples were identified based on expression profile data from NCBI Gene Expression Omnibus (GEO) repository The Cancer Genome Atlas (TCGA) database. Then, recurrent discriminating classifier was established using SMV-RFE algorithm, receiver operating characteristic curve used assess predictive power classifier. Furthermore, constructed univariate multivariate Cox regression analysis, Kaplan-Meier survival analysis estimate this model. co-expression network DElncRNAs DEmRNAs followed by GO KEGG pathway enrichment analysis. Results A total 54 optimized signature screened SMV constructed, which presented accuracy distinguish samples. six independent lncRNAs signatures (LINC00852, ZNF667-AS1, FOXP1-IT1, LINC01560, TAF1A-AS1, LINC00174) in screened, possessed relative satisfying predicted ability both training dataset validation dataset. mainly enriched glycan biosynthesis, cardiac muscle contraction, colorectal cancer. Conclusions Our revealed that lncRNA acted as an biomarker

Language: Английский

Citations

22

Long non-coding RNA DPP10-AS1 exerts anti-tumor effects on colon cancer via the upregulation of ADCY1 by regulating microRNA-127-3p DOI Creative Commons
Gang Liu, Hui Zhao, Qiang Song

et al.

Aging, Journal Year: 2021, Volume and Issue: 13(7), P. 9748 - 9765

Published: March 19, 2021

Herein we hypothesized that DPP10-AS1 could affect the development of colon cancer via interaction with miR-127-3p and adenylate cyclase 1 (ADCY1). After sorting CD133 positive cells, sphere formation, colony proliferation, invasion, migration, apoptosis were detected to explore involvement in stem cell (CCSC) properties through gain- loss-of function approaches. Furthermore, tumor xenograft nude mice was conducted investigate effect on growth vivo. Poorly expressed ADCY1, while highly found CCSCs. Low expression correlated TNM stage, lymphatic node metastasis, differentiation. Upregulation increased ADCY1 protein expression, decreased CCSC-related factors, inhibited invasion accelerated HT-29 SW480 cells by suppressing miR-127-3p. Further, above vitro findings also confirmed vivo assays. Taken together, this study demonstrates inhibits CCSC proliferation regulating providing fresh insight into a promising novel treatment strategy for cancer.

Language: Английский

Citations

17

DDX11-AS1exacerbates bladder cancer progression by enhancing CDK6 expression via suppressing miR-499b-5p DOI Open Access
Qiang Li,

Sugui Wang,

Ziyu Wu

et al.

Biomedicine & Pharmacotherapy, Journal Year: 2020, Volume and Issue: 127, P. 110164 - 110164

Published: May 15, 2020

We investigated DDX11-AS1 effects on bladder cancer (BLCA) progression to identify a new potential therapeutic target for BLCA. BLCA cases (n = 108) were enrolled. SW780 and J82 cells transfected. Cell counting kit-8 (CCK-8) assay, wound healing assay transwell migration was conducted. cycle apoptosis detected by flow cytometry. Luciferase reporter performed. DDX11-AS1, miR-499b-5p CDK6 mRNA expression in tissues/cells determined quantitative real-time polymerase chain reaction (qRT-PCR). In vivo experiment performed using nude mice. Ki67 proteins xenograft tumors researched Western blot immunohistochemistry. Overexpressed associated with poor outcome of patients. Compared siCtrl group, siDDX11-AS1 group had lower OD450 value (P < 0.01), less S phase, more 0.05), higher relative width 0.05) invasive cell number 0.01). promoted via inhibiting miR-499b-5p. oe-DDX11-AS1 + mimic siCDK6 phrase, numbers knockdown inhibited growth suppressed tumors. exacerbates enhancing suppressing

Language: Английский

Citations

17

Comprehensive analysis of long non-coding RNAs expression pattern in the pathogenesis of pulmonary tuberculosis DOI Creative Commons
Xing Zhang,

Zi Liang,

Yunshan Zhang

et al.

Genomics, Journal Year: 2019, Volume and Issue: 112(2), P. 1970 - 1977

Published: Nov. 20, 2019

Language: Английский

Citations

16

Isolation and Identification of Long Non-Coding RNAs in Exosomes Derived from the Serum of Colorectal Carcinoma Patients DOI Creative Commons
Chin Tat Ng,

Shamin Azwar,

Wai Kien Yip

et al.

Biology, Journal Year: 2021, Volume and Issue: 10(9), P. 918 - 918

Published: Sept. 15, 2021

Long non-coding RNAs (lncRNAs) are consisting of more than 200 nucleotides in length. LncRNAs present exosomes may play a critical role the cellular processes involved cancer pathogenesis and progression including proliferation, invasion, migration tumor cells. This paper aims to identify differential expression exosomal lncRNAs derived from sera non-cancer individuals patients diagnosed with colorectal carcinoma. These differentially-expressed serum provide an insight into (CRC). Serum SW480-7 cell culture supernatants were isolated viewed by transmission electron microscope (TEM). The particle size distribution protein markers further analyzed using Zetasizer Nano S instrument western blotting technique. TEM showed that cells round vesicles sizes ranging 50–200 nm. had average diameter 274.6 nm contained protein, ALIX/PDCD6IP. In our clinical studies, six lncRNAs, namely GAS5, H19, LINC00152, SNHG16, RMRP, ZFAS1 detected 18 CRC patients. Among these level LINC00152 was found be significantly lower as compared (p = 0.04) while lncRNA H19 up-regulated advanced-stages (stage III IV) early-stages I II). conclusion, detection versus upregulation advanced stages suggests they important roles CRC.

Language: Английский

Citations

13