Prognostic and predictive value of a microRNA signature in stage II colon cancer: a microRNA expression analysis

Zhang, Jia Xing; Wu, Song; Chen, Zhen Hua; Wei, Jin; Liao, Yi; Lei, Jian; Hu, Ming; Chen, Geng Zhen; Liao, Bing; Lü, Jian; Zhao, Hong; Chen, Wei; He, Yu; Wang, Hui Yun; Xie, Dan; Luo, Jun

doi:10.1016/s1470-2045(13)70491-1

Cited by 501 publications

(435 citation statements)

References 34 publications

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“…Two independent manuscripts reported that increased expression of miR21, predominantly in the stroma compartment and not the cancer cells, is associated with clinical outcome in TNM stage II colon cancer patients (39,40). These findings might explain why we did not see an association between miR21 expression and metastasis risk, unlike others (24). Decreased expression of miR192 was identified in tumor compared with normal colon tissue (41) and linked to early onset colon carcinogenesis (38).…”

Section: Discussionmentioning

confidence: 74%

“…Several miRNA profiles for prediction of metastasis risk in patients with colon cancer have been proposed before (20)(21)(22)(23)(24). Recently, a six miRNA-based classifier, differing from the combination of miRNAs reported here, was published (24).…”

Section: Discussionmentioning

confidence: 99%

“…To be able to investigate expression of the whole micronome, and the possibility of detecting novel miRNAs, a next-generation sequencing (NGS) approach is recommended (19). Previous studies reporting on miRNA classifier profiles for metastasis prediction in colon or colorectal cancer (20)(21)(22)(23)(24) did not use the optimal approach of identification of miRNAs by comparison of their expression patterns between patients with and without metachronous metastasis using NGS in microdissected tumors. For PCR-based relative quantification of miRNA expression, a verified standard for normalization of the amount of input material is lacking.…”

Section: Introductionmentioning

confidence: 99%

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MicroRNA Classifier and Nomogram for Metastasis Prediction in Colon Cancer

Goossens-Beumer

Derr

Buermans

et al. 2015

Cancer Epidemiology, Biomarkers &Amp; Prevention

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Background: Colon cancer prognosis and treatment are currently based on a classification system still showing large heterogeneity in clinical outcome, especially in TNM stages II and III. Prognostic biomarkers for metastasis risk are warranted as development of distant recurrent disease mainly accounts for the high lethality rates of colon cancer. miRNAs have been proposed as potential biomarkers for cancer. Furthermore, a verified standard for normalization of the amount of input material in PCR-based relative quantification of miRNA expression is lacking.Methods: A selection of frozen tumor specimens from two independent patient cohorts with TNM stage II-III microsatellite stable primary adenocarcinomas was used for laser capture microdissection. Next-generation sequencing was performed on small RNAs isolated from colorectal tumors from the Dutch cohort (N ¼ 50). Differential expression analysis, comparing in metastasized and nonmetastasized tumors, identified prognostic miRNAs.

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Section: Discussionmentioning

confidence: 74%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

MicroRNA Classifier and Nomogram for Metastasis Prediction in Colon Cancer

Goossens-Beumer

Derr

Buermans

et al. 2015

Cancer Epidemiology, Biomarkers &Amp; Prevention

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“…Six selected indicator miRNAs, comprising four upregulated miRNAs (miR-21, miR-20, miR-103 and miR-106) and two downregulated miRNAs (miR-143 and miR-215) were assessed to predict disease recurrence. Forty-six percent of the high-risk patients experienced a relapse and 15% of the low-risk group exhibited recurrence (59).…”

Section: Mir-21 and Solid Tumorsmentioning

confidence: 99%

Emerging role of microRNA-21 in cancer

2016

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Abstract. MicroRNAs (miRs) are a class of single-stranded RNA molecules of 15-27 nucleotides in length that regulate gene expression at the post-translational level. miR-21 is one of the earliest identified cancer-promoting 'oncomiRs', targeting numerous tumor suppressor genes associated with proliferation, apoptosis and invasion. The regulation of miR-21 and its role in carcinogenesis have been extensively investigated. Recent studies have focused on the diagnostic and prognostic value of miR-21 as well as its implication in the drug resistance of human malignancies. The further use of miR-21 as a biomarker and target for cancer treatments is likely to improve the outcome for patients with cancer. The present review highlights recent findings associated with the importance of miR-21 in hematological and non-hematological malignancies. IntroductionMicroRNAs (miRs) are a class of naturally occurring short non-coding RNA molecules of 15-27 nucleotides in length that regulate eukaryotic gene expression at the post-transcriptional level. Almost 2,000 human miRNAs have been identified through cloning and/or sequence analysis (1). They have key regulatory roles in the development, differentiation and apoptosis of normal cells, as well as in the determination of the final phenotype of cancer cells, affecting carcinogenesis and metastatic potential (2). miR-21 is an abundantly expressed miRNA in mammalian cells, whose upregulation is associated with numerous types of cancer (3,4). By generation of a conditional miR-21 knock-in mouse, it was demonstrated that miR-21 functions as an oncogene with its overexpression resulting in malignant B-cell lymphoma (5). Indeed, miR-21 was found to be the only consistently upregulated miRNA in a study that profiled 540 clinical samples from cancer patients (6). The majority of studies on miR-21 have focused on its role in carcinogenesis and its clinical application. miR-21 is also expressed in hematopoietic cells of the immune system, including B/T cells, monocytes, macrophages and dendritic cells. High miR-21 levels are, therefore, considered to be a marker of immune cell activation (7). Regarding pathological necrosis, miR-21 enhances cellular necrosis by negatively regulating tumor suppressor genes associated with the death receptor-mediated intrinsic apoptotic pathway (8). Biological function of miR-21The biological functions of various miRNAs, including miR-21, have been extensively investigated and miR-21 is

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“…Cox proportional hazard regression modeling was applied to analyze correlation between RNA expression and RFS based on qRT-PCR data in the training set. The regression coefficients of each of the RNA were used to construct a recurrence score formula (19)(20)(21). The optimum cutoff for the model was determined by the receiver operating characteristic (ROC) curve using Youden Index.…”

Section: Transcriptome Microarray and Qrt-pcr Assaymentioning

confidence: 99%

Transcriptome Analysis of Triple-Negative Breast Cancer Reveals an Integrated mRNA-lncRNA Signature with Predictive and Prognostic Value

et al. 2016

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While recognized as a generally aggressive disease, triplenegative breast cancer (TNBC) is highly diverse in different patients with variable outcomes. In this prospective observational study, we aimed to develop an RNA signature of TNBC patients to improve risk stratification and optimize the choice of adjuvant therapy. Transcriptome microarrays for 33 paired TNBC and adjacent normal breast tissue revealed tumor-specific mRNAs and long noncoding RNAs (lncRNA) that were associated with recurrence-free survival. Using the Cox regression model, we developed an integrated mRNA-lncRNA signature based on the mRNA species for FCGR1A, RSAD2, CHRDL1, and the lncRNA species for HIF1A-AS2 and AK124454. The prognostic and predictive accuracy of this signature was evaluated in a training set of 137 TNBC patients and then validated in a second independent set of 138 TNBC patients. In addition, we enrolled 82 TNBC patients who underwent taxane-based neoadjuvant chemotherapy (NCT) to further verify the predictive value of the signature. In both the training and validation sets, the integrated signature had better prognostic value than clinicopathologic parameters. We also confirmed the interaction between the administration of taxane-based NCT and different risk groups. In the NCT cohort, patients in the lowrisk group were more likely to achieve pathologic complete remission after taxane-based NCT (P ¼ 0.014). Functionally, we showed that HIF1A-AS2 and AK124454 promoted cell proliferation and invasion in TNBC cells and contributed there to paclitaxel resistance. Overall, our results established an integrated mRNA-lncRNA signature as a reliable tool to predict tumor recurrence and the benefit of taxane chemotherapy in TNBC, warranting further investigation in larger populations to help frame individualized treatments for TNBC patients.

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Prognostic and predictive value of a microRNA signature in stage II colon cancer: a microRNA expression analysis

Cited by 501 publications

References 34 publications

MicroRNA Classifier and Nomogram for Metastasis Prediction in Colon Cancer

MicroRNA Classifier and Nomogram for Metastasis Prediction in Colon Cancer

Emerging role of microRNA-21 in cancer

Transcriptome Analysis of Triple-Negative Breast Cancer Reveals an Integrated mRNA-lncRNA Signature with Predictive and Prognostic Value

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