Evidence map›Paper›PMID 30218350›Full record

ArticleMolecular biology reports2018

Overexpressed in colorectal carcinoma gene (OCC-1) upregulation and APPL2 gene downregulation in breast cancer specimens.

Abolfazl Ghalaei, Maryam Kay, Shiva Zarrinfam, Parisa Hoseinpour, Mehrdad Behmanesh, Bahram M Soltani

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Article in Molecular biology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

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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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Abolfazl GhalaeiGenetics Deptartment, Tarbiat Modares University, Tehran, Iran.
Maryam KayGenetics Deptartment, Tarbiat Modares University, Tehran, Iran.
Shiva ZarrinfamGenetics Deptartment, Tarbiat Modares University, Tehran, Iran.
Parisa HoseinpourBreast Cancer Research Center, ACECR, Tehran, Iran.
Mehrdad BehmaneshGenetics Deptartment, Tarbiat Modares University, Tehran, Iran.
Bahram M SoltaniGenetics Deptartment, Tarbiat Modares University, Tehran, Iran. soltanib@modares.ac.ir.
Tarbiat Modares University · IRMotamed Cancer Institute · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most common cancer type and the second cause of cancer death in women. Different mechanisms are contributed to the initiation and progression of the breast cancer. OCC-1 and APPL2 neighboring genes located in 12q.23.3 human chromosome region are related to colorectal cancer. Here, we intended to investigate OCC-1 newly reported transcript variants and APPL2 gene expression alteration in breast cancer specimens and investigate OCC-1 variants overexpression effect on APPL2 and on cell cycle status. Rt-qPCR analysis indicated that the expression level of OCC-1A/B and OCC-1D (not OCC-1C) transcript variants has been increased while, APPL2 gene expression level has been decreased in breast cancer specimen, compared to their normal pairs. Therefore, a negative correlation of expression is evident between APPL2 and OCC-1 genes in breast cancer specimen. Unlike OCC-1A/B which encodes a small protein, OCC-1D noncoding RNA overexpression lead to APPL2 downregulation in MCF7 cells. Consistently, OCC-1D overexpression resulted in increased sub-G1 cell population in MCF7 cells, detected by flow cytometry. Altogether, these results suggest that OCC1-D variant have an inhibitory effect on APPL2 expression and may regulate the cell cycle status.

Indexed as

Adaptor Proteins, Signal TransducingBreast NeoplasmsCell CycleCell Line, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMCF-7 CellsNeoplasm ProteinsTranscriptional ActivationAdaptor Proteins, Signal TransducingAPPL2 protein, humanC12orf75 protein, humanNeoplasm ProteinsAPPL2Breast cancerOCC-1 gene

Identifiers

PMID30218350
OpenAlexW2892155515

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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.