Meta-signature LncRNAs serve as novel biomarkers for colorectal cancer: integrated bioinformatics analysis, experimental validation and diagnostic evaluation

Dai, Meiyu; Chen, Xiaoli; Mo, Shanying; Li, Jinwan; Huang, Zhizhuo; Huang, Shifeng; Xu, Junyi; He, Baoyu; Zou, Yan; Chen, Jingfan; Dai, Shengming

doi:10.1038/srep46572

Cited by 59 publications

(39 citation statements)

References 56 publications

(59 reference statements)

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“…This result suggested that high BLACAT1 expression could be regarded as a specific prognostic factor In UCEC. This result was inconsistent with the previous studies that reported the BLACAT1 could act as a prognostic factor in GC, BLC and CRC [ 19 – 21 ]. One possible reason was that normal tissues were fewer than cancer tissues in TCGA database.…”

Section: Resultscontrasting

confidence: 99%

“…These 12 different types of cancer included: HCC, lung cancer (LC), breast cancer (BC), ovarian cancer (OC), EMC, cervical cancer (CC), PC, gastric cancer (GC), esophagus cancer (EC), thyroid cancer (TC), BLC and nasopharynx cancer (NPC). For the diagnostic value of serum BLACAT1 in CRC was reported in our previous article, the CRC was not included in present study [ 21 ]. According to the qRT-PCR confirmation results, serum BLACAT1 was performed well in distinguishing cancer from healthy subjects in these 12 types of cancer, which was not able to distinguish cancer from benign lesions in BC, OC, PC and NPC (Additional file 1 : Figure S1).…”

Section: Resultsmentioning

confidence: 99%

“…It was firstly reported as a negative prognostic factor for lymph node metastasis and survival in bladder cancer (BLC) [ 20 ]. Our previous research has shown that BLACAT1 was upregulated in CRC tissues compared to adjacent normal tissues and could serve as a novel diagnostic biomarker [ 21 ]. However, these studies have just explored the clinical and biological significance in a specific cancer type.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation on the diagnostic and prognostic values of long non-coding RNA BLACAT1 in common types of human cancer

et al. 2017

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A growing number of evidence has indicated that long non-coding RNAs (lncRNA) may have many functions in the development and progression of cancer, and cloud serve as good diagnostic and prognostic biomarkers in cancers. However, these studies often revealed the changes of lncRNAs within a specific cancer type. Here, we focused on BLACAT1 and provided a comprehensive pan-cancer analysis to evaluate the diagnostic and prognostic values of BLACAT1. The expression data of BLACAT1 were came from the quantitative real-time polymerase chain reaction (qRT-PCR) and The Cancer Genome Atlas (TCGA) database, respectively. Our results showed that the change of serum BLACAT1 expression was similar to those in matched tissues. The expression level of BLACAT1 both in serum and tissues in multiple cancer types were significantly upregulated compared to those of matched non-cancer participants. The serum BLACAT1 had a high diagnostic performance among these 12 types of cancer. The relative AUC of serum BLACAT1 in cancer patients ranged from 0.833 to 0.967 compared to that in healthy subjects. Surprisingly, Kaplan-Meier survival analysis revealed that the high expression level of BLACAT1 was significantly associated with poor overall survival only in uterine corpus endometrial carcinoma (p = 0.002, log-rank test). These findings demonstrated that BLACAT1 could act as a non-specific diagnostic biomarker for cancers and a potential biomarker for prognosis prediction of endometrial cancer.Electronic supplementary materialThe online version of this article (10.1186/s12943-017-0728-2) contains supplementary material, which is available to authorized users.

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Section: Resultscontrasting

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation on the diagnostic and prognostic values of long non-coding RNA BLACAT1 in common types of human cancer

et al. 2017

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“…Expression microarrays have been widely applied for the diagnosis of various cancers ( 20 , 21 ). An important application of microarray experiments is the analysis of differentially expressed miRNAs or mRNAs between normal and tumor samples.…”

Section: Discussionmentioning

confidence: 99%

Integrated analysis of the potential roles of miRNA-mRNA networks in triple negative breast cancer

Zhu

Dai

Chen

et al. 2017

Molecular Medicine Reports

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Abstract. Triple negative breast cancer (TNBC) is a type of breast cancer where the tumor cells are negative for the estrogen, progesterone and human epidermal growth factor 2 receptors. To date, expression profiling of microRNA (miRNA/miR) and mRNA sequences have been widely applied for the diagnosis of TNBC. In the present study, an integrated analysis of miRNA-mRNA profiling arrays was performed. A total of five dysregulated miRNAs in patients with TNBC were identified, including upregulated miR-558 expression and downregulated miR-320d-1, miR-548v, miR-99a and miR-21 expression. In addition, 49 potential target mRNA sequences were identified. Bioinformatics analyses were performed on the identified miRNAs and mRNAs, including gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes pathway and miRNA-mRNA network analyses. A total of 31 GO terms and three signaling pathways were identified. The results indicated that the differentially expressed miRNAs and their potential target mRNAs may affect the pathogenesis of TNBC, and may therefore be considered as promising biomarkers for the early diagnosis and targeted therapy of patients with TNBC.

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“…[76][77][78][79][80][81][82][83][84][85][86][87]92 Furthermore, a recent study, after a series of bioinformatic analyses, screening important pathways and GO terms that were related to upregulated and downregulated transcripts, noted that lncRNA BLACAT1 and four downregulated lncRNAs including LOC344887, LINC00675, DPP10-AS1, and HAGLR are all biomarkers for diagnosis of CRC. 114 In this regard, studies revealed that exosomal BCAR4 lncRNA is downregulated in the serum of patients with colon adenoma compared with normal subjects. In addition, the combination of two mRNAs, KRTAP5-4, and MAGEA, with this lncRNA provided a suitable panel for diagnosis of CRC (Table 3).…”

Section: Of Crcmentioning

confidence: 99%

Exosomes and their importance in metastasis, diagnosis, and therapy of colorectal cancer

Cheshomi

Matin

2018

J of Cellular Biochemistry

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Extracellular vesicles are known as actual intermediaries of intercellular communications, such as biological signals and cargo transfer between different cells. A variety of cells release the exosomes as nanovesicular bodies. Exosomes contain different compounds such as several types of nucleic acids and proteins. In this study, we focused on exosomes in colorectal cancer as good tools that can be involved in various cancer‐related processes. Furthermore, we summarize the advantages and disadvantages of exosome extraction methods and review related studies on the role of exosomes in colorectal cancer. Finally, we focus on reports available on relations between mesenchymal stem cell–derived exosomes and colorectal cancer. Several cancer‐related processes such as cancer progression, metastasis, and drug resistance of colorectal cancer are related to the cargoes of exosomes. A variety of molecules, especially proteins, microRNAs, and long noncoding RNAs, play important roles in these processes. The microenvironment features, such as hypoxia, also have very important effects on the properties of the origin cell–derived exosomes. On the other hand, exosomes derived from colorectal cancer cells also interfere with cancer chemoresistance. Furthermore, today it is known that exosomes and their contents can likely be very effective in noninvasive colorectal cancer diagnosis and therapy. Thus, exosomes, and especially their cargoes, play different key roles in various aspects of basic and clinical research related to both progression and therapy of colorectal cancer.

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Meta-signature LncRNAs serve as novel biomarkers for colorectal cancer: integrated bioinformatics analysis, experimental validation and diagnostic evaluation

Cited by 59 publications

References 56 publications

Evaluation on the diagnostic and prognostic values of long non-coding RNA BLACAT1 in common types of human cancer

Evaluation on the diagnostic and prognostic values of long non-coding RNA BLACAT1 in common types of human cancer

Integrated analysis of the potential roles of miRNA-mRNA networks in triple negative breast cancer

Exosomes and their importance in metastasis, diagnosis, and therapy of colorectal cancer

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