Evidence map›Paper›PMID 26464818›Full record

ArticleCell journal2015

Upregulation of RHOXF2 and ODF4 Expression in Breast Cancer Tissues.

Golnesa Kazemi-Oula, Soudeh Ghafouri-Fard, Maryam Beigom Mobasheri, Lobat Geranpayeh, Mohammad Hossein Modarressi

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Article in Cell journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Paclitaxel Sensitivity of Ovarian Cancer Can be Enhanced by Knocking Down Pairs of Kinases that Regulate MAP4 Phosphorylation and Microtubule Stability.Clinical cancer research : an official journal of the American Association for Cancer Research · 2018
    Article
  11. Review
  12. Article
  13. Article
  14. Expression Analysis of Long Non-Coding PCAT-1in Breast Cancer.International journal of hematology-oncology and stem cell research · 2017
    Article
  15. Expression analysis of four long noncoding RNAs in breast cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
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

5 authors at 3 institutions in 1 country.

Golnesa Kazemi-OulaDepartment of Medical Genetics, Tehran University of Medical Sciences, Tehran, Iran ; Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Soudeh Ghafouri-FardDepartment of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Maryam Beigom MobasheriDepartment of Medical Genetics, Tehran University of Medical Sciences, Tehran, Iran.
Lobat GeranpayehDepartment of Surgery, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Hossein ModarressiDepartment of Medical Genetics, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IRShahid Beheshti University of Medical Sciences · IRSina Hospital · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDuring the past decade, the importance of biomarker discovery has been highlighted in many aspects of cancer research. Biomarkers may have a role in early detection of cancer, prognosis and survival evaluation as well as drug response. Cancer-testis antigens (CTAs) have gained attention as cancer biomarkers because of their expression in a wide variety of tumors and restricted expression in testis. The aim of this study was to find putative biomarkers for breast cancer. MATERIALS AND

methodsIn this applied-descriptive study, the expression of 4 CTAs, namely acrosin binding protein (ACRBP), outer dense fiber 4 (ODF4), Rhox homeobox family member 2 (RHOXF2) and spermatogenesis associated 19 (SPATA19) were ana- lyzed at the transcript level in two breast cancer lines (MCF-7 and MDA-MB-231), 40 invasive ductal carcinoma samples and their adjacent normal tissues as well as 10 fibroadenoma samples by means of quantitative real-time reverse transcription polymerase chain reaction (RT-PCR).

resultsAll four genes were expressed in both cell lines. Expression of ODF4 and RH- OXF2 was detected in 62.5% and 60% of breast cancer tissues but in 22.5 and 17.5% of normal tissues examined respectively. The expression of both RHOXF2 and ODF4 was upregulated in cancerous tissues compared with their normal adjacent tissues by 3.31 and 2.96-fold respectively. The expression of both genes was correlated with HER2/neu overexpression. RHOXF2 expression but not ODF4 was correlated with higher stages of tumors. However, no significant association was seen between expression patterns and estrogen and progesterone receptors status.

conclusionODF4 and RHOXF2 are proposed as putative breast cancer biomarkers at the transcript level. However, their expression at protein level should be evaluated in future studies.

Indexed as

Breast CancerCancer-Testis AntigenODF4RHOXF2

Identifiers

PMID26464818
PMCPMC4601867
OpenAlexW1807021837

What OpenQuestion holds

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LicenceCC BY
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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.