Evidence map›Paper›PMID 30222738›Full record

ArticlePloS one2018

Albumin and hemoglobin adducts of estrogen quinone as biomarkers for early detection of breast cancer.

Po-Hsiung Lin, Hui-Ju Yang, Wei-Chung Hsieh, Che Lin, Ya-Chi Chan, Yu-Fen Wang, Yuan-Ting Yang, Kuo-Juei Lin, Li-Sheng Lin, Dar-Ren Chen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. 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

10 authors at 4 institutions in 2 countries.

Po-Hsiung LinDepartment of Environmental Engineering, National Chung Hsing University, South Dist., Taichung, Taiwan, R.O.C.
Hui-Ju YangDepartment of Dermatology, Changhua Christian Hospital, Changhua, Taiwan, R.O.C.
Wei-Chung HsiehDepartment of Internal Medicine, Da-Chien General Hospital, Miaoli, Taiwan, R.O.C.
Che LinComprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua, Taiwan, R.O.C.
Ya-Chi ChanCancer Research Center, Department of Research, Changhua Christian Hospital, Changhua, Taiwan, R.O.C.
Yu-Fen WangCancer Research Center, Department of Research, Changhua Christian Hospital, Changhua, Taiwan, R.O.C.
Yuan-Ting YangDepartment of Pharmacy, Changhua Christian Hospital, Changhua, Taiwan, R.O.C.
Kuo-Juei LinDepartment of Surgery, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan, R.O.C.
Li-Sheng LinDepartment of Breast Surgery, the Affiliated Hospital (Group) of Putian University, Putian, Fujian, China.ORCID 0000-0002-3673-8184
Dar-Ren ChenComprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua, Taiwan, R.O.C.ORCID 0000-0002-0897-4374
Changhua Christian Hospital · TWE-Da Hospital · TWNational Chung Hsing University · TWPutian University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cumulative estrogen concentration is an important determinant of the risk of developing breast cancer. Estrogen carcinogenesis is attributed to the combination of receptor-driven mitogenesis and DNA damage induced by quinonoid metabolites of estrogen. The present study was focused on developing an improved breast cancer prediction model using estrogen quinone-protein adduct concentrations. Blood samples from 152 breast cancer patients and 71 healthy women were collected, and albumin (Alb) and hemoglobin (Hb) adducts of estrogen-3,4-quinone and estrogen-2,3-quinone were extracted and evaluated as potential biomarkers of breast cancer. A multilayer perceptron (MLP) was used as the predictor model and the resultant prediction of breast cancer was more accurate than other existing detection methods. A MLP using the logarithm of the concentrations of the estrogen quinone-derived adducts (four input nodes, 10 hidden nodes, and one output node) was used to predict breast cancer risk with accuracy close to 100% and area under curve (AUC) close to one. The AUC value of one showed that both data sets were separable. We conclude that Alb and Hb adducts of estrogen quinones are promising biomarkers for the early detection of breast cancer.

Indexed as

Models, BiologicalAdolescentAdultAgedBiomarkers, TumorBreast NeoplasmsEstrogensFemaleHemoglobinsHumansMiddle AgedPredictive Value of TestsQuinonesSerum Albumin, HumanBiomarkers, TumorEstrogensHemoglobinsQuinonesSerum Albumin, Human

Identifiers

PMID30222738
PMCPMC6141067
OpenAlexW2890393871

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.