Evidence map›Paper›PMID 20393826›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2010

Characterization of new serum biomarkers in breast cancer using lipid microarrays.

Yoshiya Yonekubo, Ping Wu, Aimalohi Esechie, Yueqiang Zhang, Guangwei Du

Abstract read
PubMed Publisher
In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Bilayer Forming Phospholipids as Targets for Cancer Therapy.International journal of molecular sciences · 2022
    Review
  2. Article
  3. Circulating Phospholipids as Biomarkers of Breast Cancer: A Review.Breast cancer : basic and clinical research · 2016
    Review
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 1 institution in 1 country.

Yoshiya YonekuboDepartment of Integrative Biology and Pharmacology, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Ping Wu
Aimalohi Esechie
Yueqiang Zhang
Guangwei Du
The University of Texas Health Science Center at Houston · US

Funding

Roles of Phospholipase D in AT1 Receptor EndocytosisR01GM071475 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI DU, GUANGWEI · 2006 to 2010
$1.6M
NIGMS NIH HHS GM071475
6 · The paper itself

Abstract

Breast cancer is the most common form of cancer among women. Compared with other serum polypeptides, autoantibodies have many appealing features as biomarkers including sensitivity, stability, and easy detection. Anti-lipid autoantibodies are routinely used in the diagnosis of autoimmune diseases, but their potential for cancer diagnosis has not been explored. Dysregulation of cellular signaling in cancer cells would be expected to lead to irregular metabolism of many lipids, which could be sensed by the immune system and cause the production of autoantibodies. Discovery of anti-lipid antibodies could be used as biomarkers for early breast cancer diagnosis. We describe here a more sensitive and accurate method for lipid microarray detection using dual fluorescent labeling, and used it to examine global anti-lipid profiles in the MMTV-Neu transgenic breast cancer model. We conclude that, at the current technology, lipid microarray is not a preferred method for anti-lipid antibody detection in breast cancer animal models. Our result will help the future application of lipid microarrays in identifying anti-lipid autoantibodies in breast cancer and other human diseases.

Indexed as

AnimalsAutoantibodiesBiomarkers, TumorBreast NeoplasmsFemaleLipidsMiceMicroarray AnalysisAutoantibodiesBiomarkers, TumorLipids

Identifiers

PMID20393826
OpenAlexW2067896359

What OpenQuestion holds

Textmetadata
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.