Evidence map›Paper›PMID 27776153›Full record

ArticlePloS one2016

Correlating Tumor Stiffness with Immunohistochemical Subtypes of Breast Cancers: Prognostic Value of Comb-Push Ultrasound Shear Elastography for Differentiating Luminal Subtypes.

Max Denis, Adriana Gregory, Mahdi Bayat, Robert T Fazzio, Dana H Whaley, Karthik Ghosh, Sejal Shah, Mostafa Fatemi, Azra Alizad

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 51 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

9 authors at 2 institutions in 1 country.

Max DenisDepartment of Radiology, Mayo Clinic, Rochester, MN, 55905, United States of America.
Adriana GregoryDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, 55905, United States of America.
Mahdi BayatDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, 55905, United States of America.
Robert T FazzioDepartment of Radiology, Mayo Clinic, Rochester, MN, 55905, United States of America.
Dana H WhaleyDepartment of Radiology, Mayo Clinic, Rochester, MN, 55905, United States of America.
Karthik GhoshDepartment of Internal Medicine, Mayo Clinic College of Medicine, Rochester, MN, 55905, United States of America.
Sejal ShahDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, 55905, United States of America.
Mostafa FatemiDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, 55905, United States of America.
Azra AlizadDepartment of Radiology, Mayo Clinic, Rochester, MN, 55905, United States of America.
Mayo Clinic in Florida · USMayo Clinic · US

Funding

Classification of breast masses based on visco-elastic propertiesR01CA168575 · NCI · MAYO CLINIC ROCHESTER · PI FATEMI, MOSTAFA, INSANA, MICHAEL F · 2013 to 2018
$2.5M
Combined Acoustic Imaging and Viscoelastic Parameters Estimation in Breast CancerR01CA148994 · NCI · MAYO CLINIC ROCHESTER · PI ALIZAD, AZRA · 2011 to 2015
$2.4M
Viscoelastic Parameters estimation and imaging for Thyroid Nodule differentiationR01EB017213 · NIBIB · MAYO CLINIC ROCHESTER · PI ALIZAD, AZRA, CHEN, SHIGAO · 2014 to 2017
$2.2M
Generalized waveform methods for breast viscoelasticity mappingR01CA174723 · NCI · MAYO CLINIC ROCHESTER · PI FATEMI, MOSTAFA · 2014 to 2018
$1.8M
NCI NIH HHS R01 CA148994NCI NIH HHS R01 CA168575NCI NIH HHS R01 CA174723NIBIB NIH HHS R01 EB017213
6 · The paper itself

Abstract

purposeThe purpose of our study is to correlate quantitatively measured tumor stiffness with immunohistochemical (IHC) subtypes of breast cancer. Additionally, the influence of prognostic histologic features (cancer grade, size, lymph node status, and histological type and grade) to the tumor elasticity and IHC profile relationship will be investigated.

methodsUnder an institutional review board (IRB) approved protocol, B-mode ultrasound (US) and comb-push ultrasound shear elastography (CUSE) were performed on 157 female patients with suspicious breast lesions. Out of 157 patients 83 breast cancer patients confirmed by pathology were included in this study. The association between CUSE mean stiffness values and the aforementioned prognostic features of the breast cancer tumors were investigated.

resultsOur results demonstrate that the most statistically significant difference (p = 0.0074) with mean elasticity is tumor size. When considering large tumors (size ≥ 8mm), thus minimizing the statistical significance of tumor size, a significant difference (p< 0.05) with mean elasticity is obtained between luminal A of histological grade I and luminal B (Ki-67 > 20%) subtypes.

conclusionTumor size is an independent factor influencing mean elasticity. The Ki-67 proliferation index and histological grade were dependent factors influencing mean elasticity for the differentiation between luminal subtypes. Future studies on a larger group of patients may broaden the clinical significance of these findings.

Indexed as

Biomarkers, TumorBreast NeoplasmsElasticity Imaging TechniquesErb-b2 Receptor Tyrosine KinasesFemaleHumansLymph NodesNeoplasm GradingPrognosisReceptors, EstrogenReceptors, ProgesteroneUltrasonography, MammaryBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID27776153
PMCPMC5077080
OpenAlexW2535681339

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.