Evidence map›Paper›PMID 26112005›Full record

ArticleBMC cancer2015

Menacalc, a quantitative method of metastasis assessment, as a prognostic marker for axillary node-negative breast cancer.

Catherine L Forse, Seema Agarwal, Dushanthi Pinnaduwage, Frank Gertler, John S Condeelis, Juan Lin, Xiaonan Xue, Kimberly Johung, Anna Marie Mulligan, Thomas E Rohan and 2 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03694756 (TMEM-MRI), which is not on this map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.2field-weighted citation impact, top 13% 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.

NCT03694756 narecruitingnot on this mapstarted 2018, after this paper: background citation

TMEM-MRI: A Pilot Feasibility Study of Magnetic Resonance Imaging for Imaging of TMEM (Tumor Microenvironment of Metastasis) in Patients With Operable Breast Cancer

TypeinterventionalSponsorMontefiore Medical CenterRan2018 to 2026Enrolled95ConditionsBreast CancerArmsTMEM-MRI, FNA
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
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  10. Scaffold stiffness influences breast cancer cell invasion via EGFR-linked Mena upregulation and matrix remodeling.Matrix biology : journal of the International Society for Matrix Biology · 2020
    Article
  11. Review
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  16. Review
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  19. A metastasis biomarker (MetaSiteNPJ breast cancer · 2017
    Article
  20. 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

12 authors at 7 institutions in 2 countries.

Catherine L ForseDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada. catherine.forse@mail.utoronto.ca.
Seema AgarwalDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA. seema.agarwal@georgetown.edu.
Dushanthi PinnaduwageLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada. Pinnad@lunenfeld.ca.
Frank GertlerDepartment of Biology and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Massachusetts, MA, USA. fgertler@mit.edu.
John S CondeelisDepartment of Anatomy and Structural Biology, Gruss Lupper Biophotonics Center, Integrated Imaging Program, Albert Einstein College of Medicine, New York, NY, USA. John.Condeelis@einstein.yu.edu.
Juan LinDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA. Juan.Lin@einstein.yu.edu.
Xiaonan XueDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA. Xianonan.Xue@einstein.yu.edu.
Kimberly JohungDepartment of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT, USA. Kimberly.Johung@yale.edu.
Anna Marie MulliganDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada. AnnaMarie.Mulligan@uhn.ca.
Thomas E RohanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA. Thomas.Rohan@einstein.yu.edu.
Shelley B BullLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada. Bull@lunenfeld.ca.
Irene L AndrulisDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada. Andrulis@lunenfeld.ca.
Albert Einstein College of Medicine · USMount Sinai Hospital · CAGeorgetown University · USMassachusetts Institute of Technology · USUniversity Health Network · CAUniversity of Toronto · CAYale University · US

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI THOMAS E ROHAN · 1985 to 2026
$111.2M
Tumor Progression and MetastasisP01CA100324 · NCI · YESHIVA UNIVERSITY · PI CONDEELIS, JOHN S · 2003 to 2018
$30.0M
Tumor Cell Networks CenterU54CA112967 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LAUFFENBURGER, DOUGLAS A · 2004 to 2015
$26.2M
Core-010UL1TR001073 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, SHAMOON, HARRY · 2013 to 2017
$21.3M
Canadian Institutes of Health Research GM8801NCATS NIH HHS UL1 TR001073NCI NIH HHS CA100324NCI NIH HHS CA112967NCI NIH HHS P01 CA100324NCI NIH HHS P30 CA013330NCI NIH HHS U54 CA112967
6 · The paper itself

Abstract

backgroundMenacalc is an immunofluorescence-based, quantitative method in which expression of the non-invasive Mena protein isoform (Mena11a) is subtracted from total Mena protein expression. Previous work has found a significant positive association between Menacalc and risk of death from breast cancer. Our goal was to determine if Menacalc could be used as an independent prognostic marker for axillary node-negative (ANN) breast cancer.

methodsAnalysis of the association of Menacalc with overall survival (death from any cause) was performed for 403 ANN tumors using Kaplan Meier survival curves and the univariate Cox proportional hazards (PH) model with the log-rank or the likelihood ratio test. Cox PH models were used to estimate hazard ratios (HRs) for the association of Menacalc with risk of death after adjustment for HER2 status and clinicopathological tumor features.

resultsHigh Menacalc was associated with increased risk of death from any cause (P=0.0199, HR (CI)=2.18 (1.19, 4.00)). A similarly elevated risk of death was found in the subset of the Menacalc cohort which did not receive hormone or chemotherapy (n=142) (P=0.0052, HR (CI)=3.80 (1.58, 9.97)). There was a trend toward increased risk of death with relatively high Menacalc in the HER2, basal and luminal molecular subtypes.

conclusionsMenacalc may serve as an independent prognostic biomarker for the ANN breast cancer patient population.

Indexed as

AgedBiomarkers, TumorBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMicrofilament ProteinsMiddle AgedNeoplasm MetastasisPrognosisProtein IsoformsBiomarkers, TumorEnah protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesMicrofilament ProteinsProtein Isoforms

Identifiers

PMID26112005
PMCPMC4482190
OpenAlexW1959027256

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.