Evidence map›Paper›PMID 21586622›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2011

Plasma biomarker profiles differ depending on breast cancer subtype but RANTES is consistently increased.

Rachel M Gonzalez, Don S Daly, Ruimin Tan, Jeffrey R Marks, Richard C Zangar

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

18 citing papers in PubMed, 37 citations in OpenAlex.

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  10. Inhibition of the CCL5/CCR5 Axis against the Progression of Gastric Cancer.International journal of molecular sciences · 2018
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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

5 authors at 2 institutions in 1 country.

Rachel M GonzalezPacific Northwest National Laboratory, Richland, WA 99354, USA.
Don S Daly
Ruimin Tan
Jeffrey R Marks
Richard C Zangar
Pacific Northwest National Laboratory · USDuke University · US

Funding

EXPRESSION BASED MARKERS FOR BREAST CANCER DETECTIONU01CA084955 · NCI · DUKE UNIVERSITY · PI MARKS, JEFFREY R. · 1999 to 2015
$6.5M
High-Throughput Evaluation of Breast Cancer MarkersU01CA117378 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI ZANGAR, RICHARD C · 2005 to 2009
$2.2M
NCI NIH HHS CA084955NCI NIH HHS CA117378NCI NIH HHS U01 CA084955NCI NIH HHS U01 CA117378
6 · The paper itself

Abstract

backgroundCurrent biomarkers for breast cancer have little potential for detection. We determined whether breast cancer subtypes influence circulating protein biomarkers.

methodsA sandwich ELISA microarray platform was used to evaluate 23 candidate biomarkers in plasma samples that were obtained from subjects with either benign breast disease or invasive breast cancer. All plasma samples were collected at the time of biopsy, after a referral due to a suspicious screen (e.g., mammography). Cancer samples were evaluated on the basis of breast cancer subtypes, as defined by the HER2 and estrogen receptor statuses.

resultsTen proteins were statistically altered in at least one breast cancer subtype, including four epidermal growth factor receptor ligands, two matrix metalloproteases, two cytokines, and two angiogenic factors. Only one cytokine, RANTES, was significantly increased (P < 0.01 for each analysis) in all four subtypes, with areas under the curve (AUC) for receiver operating characteristic values that ranged from 0.76 to 0.82, depending on cancer subtype. The best AUC values were observed for analyses that combined data from multiple biomarkers, with values ranging from 0.70 to 0.99, depending on the cancer subtype. Although the results for RANTES are consistent with previous publications, the multi-assay results need to be validated in independent sample sets.

conclusionsDifferent breast cancer subtypes produce distinct biomarker profiles, and circulating protein biomarkers have potential to differentiate between true- and false-positive screens for breast cancer. IMPACT: Subtype-specific biomarker panels may be useful for detecting breast cancer or as an adjunct assay to improve the accuracy of current screening methods.

Indexed as

Area Under CurveBiomarkers, TumorBreast NeoplasmsChemokine CCL5Enzyme-Linked Immunosorbent AssayFemaleHumansProtein Array AnalysisROC CurveSensitivity and SpecificityBiomarkers, TumorCCL5 protein, humanChemokine CCL5

Identifiers

PMID21586622
PMCPMC3132300
OpenAlexW2171689051

What OpenQuestion holds

Textmetadata
LicenceTDM
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.