Evidence map›Paper›PMID 25994570›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015

Transcriptome analysis of the cancer/testis genes, DAZ1, AURKC, and TEX101, in breast tumors and six breast cancer cell lines.

Maryam Beigom Mobasheri, Reza Shirkoohi, Kazem Zendehdel, Issa Jahanzad, Saeid Talebi, Mandana Afsharpad, Mohammad Hossein Modarressi

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Cancer/Testis genes in relation to sperm biology and function.Iranian journal of basic medical sciences · 2017
    Review
  11. Article
  12. Review
  13. 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
  14. 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

7 authors at 1 institution in 1 country.

Maryam Beigom MobasheriCancer Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
Reza ShirkoohiCancer Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
Kazem ZendehdelCancer Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
Issa JahanzadDepartment of Pathology, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Saeid TalebiDepartment of Medical Genetics, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mandana AfsharpadCancer Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Hossein ModarressiCancer Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran. modaresi@tums.ac.ir.
Tehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most frequent cancer with second mortality rate in women worldwide. Lack of validated biomarkers for early detection of breast cancer to warranty the diagnosis and effective treatments in early stages has directed to the new therapeutic approach. Cancer/testis antigens which have restricted normal expression in testis and aberrant expression in different cancers are promising targets for generating cancer vaccines, monoclonal antibodies, or dendritic cell-based immunotherapy. In this context, we investigated the expression of two known cancer testis genes, Aurora kinase C (AURKC) and testis expressed 101 (TEX101), and one new candidate, deleted in azoospermia 1 (DAZ1), in six breast cancer cell lines including two ductal carcinomas, T47D and BT-474, and four adenocarcinomas, MDA-MB-231, MDA-MB-468, MCF7, and SKBR3 as well as 50 breast cancer tumors in comparison to normal mammary epithelial cells using quantitative real-time reverse transcription PCR (RT-PCR). Results showed significant overexpression (p = 0.000) of all three genes in BT474, DAZ1 in MDA-MB-231, and AURKC and DAZ1 in SKBR3 and significant downregulation (p = 0.000) of AURKC in MCF7 cell line relative to normal breast epithelial cells. Breast tumors showed significant overexpression of AURKC in comparison to normal breast tissues (p = 0.016). The results are noticeable especially in the case of AURKC; however, there is a little knowledge about the nature, causes, consequences, and effects of cancer/testis antigens activation in different cancers. It is suggested that AURKC has effects on cell division via its serin/threonin kinases activity and organizing microtubules in relation to centrosome/spindle function during mitosis.

Indexed as

Gene Expression ProfilingAdenocarcinomaAurora Kinase CBiomarkers, TumorBreastBreast NeoplasmsCarcinoma, Ductal, BreastDeleted in Azoospermia 1 ProteinFemaleHumansMembrane ProteinsNeoplasm StagingOligonucleotide Array Sequence AnalysisPrognosisReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionAURKC protein, humanAurora Kinase CBiomarkers, TumorDAZ1 protein, humanDeleted in Azoospermia 1 ProteinMembrane ProteinsRNA-Binding ProteinsRNA, MessengerTEX101 protein, humanAURKCBreast cancerBreast cancer cell linesCancer/testis genesDAZ1ImmunotherapyTargeted therapyTEX101

Identifiers

PMID25994570
OpenAlexW299943511

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.