Evidence map›Paper›PMID 24736530›Full record

ArticleScientific reports2014

Intratumoral morphological heterogeneity of breast cancer: neoadjuvant chemotherapy efficiency and multidrug resistance gene expression.

Evgeny V Denisov, Nikolay V Litviakov, Marina V Zavyalova, Vladimir M Perelmuter, Sergey V Vtorushin, Matvey M Tsyganov, Tatiana S Gerashchenko, Evgeny Yu Garbukov, Elena M Slonimskaya, Nadezhda V Cherdyntseva

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
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  7. Microbes and Cancer: Friends or Faux?International journal of molecular sciences · 2020
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  8. Clinical implications of intratumor heterogeneity: challenges and opportunities.Journal of molecular medicine (Berlin, Germany) · 2020
    Review
  9. Review
  10. Markers of Cancer Cell Invasion: Are They Good Enough?Journal of clinical medicine · 2019
    Review
  11. Article
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  16. A new insight into cancer stem cell markers: Could local and circulating cancer stem cell markers correlate in colorectal cancer?Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
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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

10 authors at 1 institution in 1 country.

Evgeny V Denisov1] Department of Experimental Oncology, Cancer Research Institute, Siberian Branch of the Russian Academy of Medical Sciences, Tomsk, Russian Federation [2] Laboratory of Translational Cell and Molecular Biomedicine, Tomsk State University, Tomsk, Russian Federation [3].
Nikolay V Litviakov1] Department of Experimental Oncology, Cancer Research Institute, Siberian Branch of the Russian Academy of Medical Sciences, Tomsk, Russian Federation [2] Laboratory of Translational Cell and Molecular Biomedicine, Tomsk State University, Tomsk, Russian Federation [3].
Marina V Zavyalova1] Laboratory of Translational Cell and Molecular Biomedicine, Tomsk State University, Tomsk, Russian Federation [2] Department of Pathological Anatomy and Cytology, Cancer Research Institute, Siberian Branch of the Russian Academy of Medical Sciences, Tomsk, Russian Federation [3] Department of Pathological Anatomy, Siberian State Medical University, Tomsk, Russian Federation.
Vladimir M Perelmuter1] Department of Pathological Anatomy and Cytology, Cancer Research Institute, Siberian Branch of the Russian Academy of Medical Sciences, Tomsk, Russian Federation [2] Department of Pathological Anatomy, Siberian State Medical University, Tomsk, Russian Federation.
Sergey V Vtorushin1] Department of Pathological Anatomy and Cytology, Cancer Research Institute, Siberian Branch of the Russian Academy of Medical Sciences, Tomsk, Russian Federation [2] Department of Pathological Anatomy, Siberian State Medical University, Tomsk, Russian Federation.
Matvey M Tsyganov1] Department of Experimental Oncology, Cancer Research Institute, Siberian Branch of the Russian Academy of Medical Sciences, Tomsk, Russian Federation [2] Laboratory of Translational Cell and Molecular Biomedicine, Tomsk State University, Tomsk, Russian Federation.
Tatiana S Gerashchenko1] Department of Experimental Oncology, Cancer Research Institute, Siberian Branch of the Russian Academy of Medical Sciences, Tomsk, Russian Federation [2] Laboratory of Translational Cell and Molecular Biomedicine, Tomsk State University, Tomsk, Russian Federation.
Evgeny Yu GarbukovDepartment of General Oncology, Cancer Research Institute, Siberian Branch of the Russian Academy of Medical Sciences, Tomsk, Russian Federation.
Elena M Slonimskaya1] Department of General Oncology, Cancer Research Institute, Siberian Branch of the Russian Academy of Medical Sciences, Tomsk, Russian Federation [2] Department of Oncology, Siberian State Medical University, Tomsk, Russian Federation.
Nadezhda V Cherdyntseva1] Department of Experimental Oncology, Cancer Research Institute, Siberian Branch of the Russian Academy of Medical Sciences, Tomsk, Russian Federation [2] Laboratory of Translational Cell and Molecular Biomedicine, Tomsk State University, Tomsk, Russian Federation [3] Department of Oncology, Siberian State Medical University, Tomsk, Russian Federation.
National Research Tomsk State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the influence of intratumoral morphological heterogeneity of breast cancer on neoadjuvant chemotherapy (NAC) efficiency was investigated. In particular, we analysed the association of NAC response and pre- and post-NAC expression of the main multidrug resistance (MDR) genes--ABCB1, ABCC1, ABCC5, ABCG1, and ABCG2, with the presence of different morphological structures in breast tumors. In addition, the expression of MDR genes was investigated in different morphological structures and in their microenvironment by comparing probes obtained using laser microdissection. The results of this study showed that tumors with alveolar structures were more frequently NAC-nonresponsive than cases without this structural type (p = 0.0028, Bonferroni-corrected p = 0.014). The presence of trabecular structures in breast tumors was also associated with chemoresistance (p = 0.0272, Bonferroni-corrected p = 0.136). High expression of MDR genes was not found in alveolar structures (including their microenvironment) and in tumors containing this structural type. In contrast, more active MDR genes and expression of the ABCB1 gene were found only in trabecular structures. Taken together, our data indicate that breast tumors with alveolar structures possess resistance to NAC, which is not related to high expression of MDR genes, whereas chemoresistance of tumors with trabecular structures can depend on the expression level of ABCB1.

Indexed as

Gene Expression Regulation, NeoplasticAdultAntineoplastic Combined Chemotherapy ProtocolsATP-Binding Cassette, Sub-Family C ProteinsATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily G, Member 1ATP Binding Cassette Transporter, Subfamily G, Member 2Breast NeoplasmsDrug Resistance, NeoplasmFemaleHumansImmunohistochemistryMiddle AgedNeoadjuvant TherapyNeoplasm ProteinsABCB1 protein, humanABCC5 protein, humanABCG1 protein, humanABCG2 protein, humanATP-Binding Cassette, Sub-Family C ProteinsATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily G, Member 1ATP Binding Cassette Transporter, Subfamily G, Member 2multidrug resistance-associated protein 1Neoplasm Proteins

Identifiers

PMID24736530
PMCPMC3988480
OpenAlexW2014933452

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LicenceCC BY-NC-ND
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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.