Evidence map›Paper›PMID 26316815›Full record

ArticleBreast cancer (Dove Medical Press)2015

Molecular heterogeneity in adjacent cells in triple-negative breast cancer.

Michael L Huebschman, Nancy L Lane, Huaying Liu, Venetia R Sarode, Judith L Devlin, Eugene P Frenkel

Abstract read
In one paragraph

Article in Breast cancer (Dove Medical Press), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. 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

6 authors.

Michael L HuebschmanHarold C Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX, USA.
Nancy L LaneHarold C Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX, USA.
Huaying LiuHarold C Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX, USA.
Venetia R SarodeDepartment of Pathology, UT Southwestern Medical Center, Dallas, TX, USA.
Judith L DevlinHarold C Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX, USA.
Eugene P FrenkelHarold C Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX, USA ; Division of Hematology-Medical Oncology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study interrogates the molecular status of individual cells in patients with triple-negative breast cancers and explores the molecular identification and characterization of these tumors to consider the exploitation of a potential-targeted therapeutic approach. PATIENTS AND

methodsHyperspectral immunologic cell by cell analysis was applied to touch imprint smears obtained from fresh tumors of breast cancer patients.

resultsCell by cell analysis confirms significant intratumoral molecular heterogeneity in cancer markers with differences from polymerase chain reaction marker reporting. The individual cell heterogeneity was recognized in adjacent cells examined with panels of ten molecular markers in each single cell and included some markers that are considered to express "stem-cell" character. In addition, heterogeneity did not relate either to the size or stage of the primary tumor or to the site from within the cancer.

conclusionThere is a very significant molecular heterogeneity when "adjacent cells" are examined in triple-negative breast cancer, thereby making a successful targeted approach unlikely. In addition, it is not reasonable to consider that these changes will provide an answer to tumor dormancy.

Indexed as

ALDH1cancer stem cellsCD133CD24CD44CSCHer-2hyperspectraluPAR

Identifiers

PMID26316815
PMCPMC4540115

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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.