Evidence map›Paper›PMID 23849048›Full record

ReviewBMC cancer2013

Resolving breast cancer heterogeneity by searching reliable protein cancer biomarkers in the breast fluid secretome.

Ferdinando Mannello, Daniela Ligi

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in BMC cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02121873 (The Breast Duct), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 17% 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.

NCT02121873 completednot on this map

The Breast Duct: Pilot Study of Genomic Sequencing of Exfoliated Ductal Cells Obtained Through Endoscopy and Lavage

TypeobservationalSponsorAtossa Therapeutics, Inc.Ran2011 to 2012Enrolled6ConditionsBreast Cancer, Preneoplastic Conditions, Ductal Carcinoma in SituArmsNipple aspirator, Ductal lavage microcatheter, Blood draw
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Metabolomic profiling of breast tumors using ductal fluid.International journal of oncology · 2016
    Article
  12. 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

2 authors at 1 institution in 1 country.

Ferdinando MannelloDepartment of Biomolecular Sciences, Section of Clinical Biochemistry and Cell Biology, University Carlo Bo, Urbino, Italy. ferdinando.mannello@uniurb.it
Daniela Ligi
University of Urbino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the major goals in cancer research is to find and evaluate the early presence of biomarkers in human fluids and tissues. To resolve the complex cell heterogeneity of a tumor mass, it will be useful to characterize the intricate biomolecular composition of tumor microenvironment (the so called cancer secretome), validating secreted proteins as early biomarkers of cancer initiation and progression. This approach is not broadly applicable because of the paucity of well validated and FDA-approved biomarkers and because most of the candidate biomarkers are mainly organ-specific rather than tumor-specific. For these reasons, there is an urgent need to identify and validate a panel of biomarker combinations for early detection of human tumors. This is especially important for breast cancer, the cancer spread most worldwide among women. It is well known that patients with early diagnosed breast cancer live longer, require less extensive treatment and fare better than patients with more aggressive and/or advanced disease.

resultsIn the frame of searching breast cancer biomarkers (especially using nipple aspirate fluid mirroring breast microenvironment), studies have highlighted an optimal combination of well-known biomarkers: uPA + PAI-1 + TF. When individually investigated they did not show perfect accuracy in predicting the presence of breast cancer, whereas the triple combination has been demonstrated to be highly predictive of pre-cancer and/or cancerous conditions, approaching 97-100% accuracy.

conclusionDespite the heterogeneous composition of breast cancer and the difficulties to find specific breast cancer biomolecules, the noninvasive analysis of the nipple aspirate fluid secretome may significantly improve the discovery of promising biomarkers, helping also the differentiation among benign and invasive breast diseases, opening new frontiers in early oncoproteomics.

Indexed as

Biomarkers, TumorBreast NeoplasmsFemaleHumansNipple Aspirate FluidProteomicsTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID23849048
PMCPMC3721990
OpenAlexW1965261620

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.