Evidence map›Paper›PMID 27056547›Full record

ArticleMolecular cancer2016

Oral squamous cell carcinoma: microRNA expression profiling and integrative analyses for elucidation of tumourigenesis mechanism.

Mayakannan Manikandan, Arungiri Kuha Deva Magendhra Rao, Ganesan Arunkumar, Meenakshisundaram Manickavasagam, Kottayasamy Seenivasagam Rajkumar, Ramamurthy Rajaraman, Arasambattu Kannan Munirajan

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 3 pooled it
10.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

126 citing papers in PubMed, 3 syntheses or guidelines pooled it, 209 citations in OpenAlex.

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  12. Integrative Analysis ofMolecular imaging and biology · 2025
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66 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Mayakannan ManikandanDepartment of Genetics, Dr. ALM PG Institute of Basic Medical Sciences, University of Madras, Taramani campus, Chennai, 600113, Tamil Nadu, India.
Arungiri Kuha Deva Magendhra RaoDepartment of Genetics, Dr. ALM PG Institute of Basic Medical Sciences, University of Madras, Taramani campus, Chennai, 600113, Tamil Nadu, India.
Ganesan ArunkumarDepartment of Genetics, Dr. ALM PG Institute of Basic Medical Sciences, University of Madras, Taramani campus, Chennai, 600113, Tamil Nadu, India.
Meenakshisundaram ManickavasagamDepartment of Medical Oncology, Government Arignar Anna Memorial Cancer Research Institute and Hospital, Karapettai, Kanchipuram, 631502, Tamil Nadu, India.
Kottayasamy Seenivasagam RajkumarCentre for Oncology, Government Royapettah Hospital & Kilpauk Medical College, Chennai, 600014, Tamil Nadu, India.
Ramamurthy RajaramanCentre for Oncology, Government Royapettah Hospital & Kilpauk Medical College, Chennai, 600014, Tamil Nadu, India.
Arasambattu Kannan MunirajanDepartment of Genetics, Dr. ALM PG Institute of Basic Medical Sciences, University of Madras, Taramani campus, Chennai, 600113, Tamil Nadu, India. akmunirajan@gmail.com.
University of Madras · INArignar Anna Memorial Cancer Hospital & Research Institute · INGovernment Kilpauk Medical College · INGovernment Royapettah Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe advantages and utility of microRNAs (miRNAs) as diagnostic and prognostic cancer markers is at the vanguard in recent years. In this study, we attempted to identify and validate the differential expression of miRNAs in oral squamous cell carcinoma (OSCC), to correlate their expression with the clinico-pathological profile of tumours and to identify the signaling pathways through which the aberrantly expressed miRNAs effect tumourigenesis.

methodsmiRCURY LNA™ array with probes specific to 1168 miRNAs and TaqMan assays specific for 10 miRNAs was employed to evaluate and validate miRNA expression in a discovery cohort (n = 29) and validation cohort (n = 61) of primary OSCC tissue specimens, respectively. A computational pipeline with sequential integration of data from miRTarBase, CytoScape, UniProtKB and DIANA-miRPath was utilized to map the target genes of deregulated miRNAs and associated molecular pathways.

resultsMicroarray profiling identified 46 miRNAs that were differentially expressed in OSCC. Unsupervised clustering demonstrated a high degree of molecular heterogeneity across the tumour samples as the clusters did not represent any of their clinico-pathological characteristics. The differential expression of 10 miRNAs were validated by RT-qPCR (let-7a, let-7d, let-7f and miR-16 were downregulated while miR-29b, miR-142-3p, miR-144, miR-203, and miR-223 were upregulated in OSCC; the expression of miR-1275 was variable in tumours, with high levels associated to regional lymph node invasion; additionally, miR-223 exhibited an association with advanced tumour stage/size). In silico analyses of the experimentally confirmed target genes of miRNAs revamp the relationship of upregulated miRNAs with tumour suppressor genes and of downregulated miRNAs with oncogenes. Further, the differentially expressed miRNAs may play a role by simultaneously activating genes of PI3K/Akt signaling on one hand and by repressing genes of p53 signaling pathway on the other.

conclusionsThe identified differentially expressed miRNAs and signaling pathways deregulated in OSCC have implications for the development of novel therapeutic strategies. To the best of our knowledge, this is the first report to show the association of miR-1275 with nodal invasion and the upregulation of miR-144 in OSCC.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticCarcinogenesisCarcinoma, Squamous CellCell DifferentiationCell Line, TumorCluster AnalysisDown-RegulationFemaleGenetic HeterogeneityHumansMaleMicroRNAsMiddle AgedMouth NeoplasmsOligonucleotide Array Sequence AnalysisMicroRNAsHead and neck cancerInteraction networkMicroarraymicroRNAOncogeneOral cancerQuantitative PCRSignaling pathwaySquamous cell carcinomaTumour suppressor gene

Identifiers

PMID27056547
PMCPMC4823852
OpenAlexW2325531117

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.