Evidence map›Paper›PMID 19756734›Full record

ArticleJournal of cancer research and clinical oncology2010

Identification of potential serum markers for endometrial cancer using protein expression profiling.

Masashi Takano, Yoshihiro Kikuchi, Takayoshi Asakawa, Tomoko Goto, Tsunekazu Kita, Kazuya Kudoh, Junzo Kigawa, Noriaki Sakuragi, Masaru Sakamoto, Toru Sugiyama and 4 more

Open access · greenAbstract readValidation Study
In one paragraph

Article in Journal of cancer research and clinical oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

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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

14 authors at 9 institutions in 1 country.

Masashi TakanoDepartment of Obstetrics and Gynecology, National Defense Medical College, Tokorozawa, Saitama, 359-8513, Japan.
Yoshihiro Kikuchi
Takayoshi Asakawa
Tomoko Goto
Tsunekazu Kita
Kazuya Kudoh
Junzo Kigawa
Noriaki Sakuragi
Masaru Sakamoto
Toru Sugiyama
Nobuo Yaegashi
Hiroshi Tsuda
Hiroshi Seto
Mieko Shiwa
National Defense Medical College · JPHokkaido University · JPIwate Medical University · JPKeio University · JPNational Hospital Organization · JPSasaki Institute · JPTeikyo University · JPTohoku University · JPTottori University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesScreening method of endometrial cancer (EC) has not been established yet. Our study was to explore serum biomarkers of EC patients using surface-enhanced laser desorption and ionization-time-of-flight mass spectrometry (SELDI-TOF MS).

methodsSerum samples from 65 EC patients and 40 controls were analyzed by SELDI-TOF MS (training set). Single- and multi-variant analyses were performed to compare protein profiles in serum of EC patients and healthy controls. Subsequently, blind test set including 40 EC patients and 40 controls were analyzed for validation.

resultsA panel of four biomarker candidates were selected in training set analysis. These markers could also distinguish stage I patients from controls. Among them, two biomarkers were purified and identified as apolipoprotein A1 and a modified form of apolipoprotein C1. Screening for blind test set using dual-biomarker analysis yielded a sensitivity of 82% and a specificity of 86%.

conclusionsInvolvement of apolipoproteins with EC is first suggested in this study. In addition to possibility of screening method for EC, findings of these new biomarkers might be related with carcinogenesis or predisposition to EC.

Indexed as

Protein Array AnalysisBiomarkers, TumorBlood Chemical AnalysisCarcinomaCase-Control StudiesEndometrial NeoplasmsFemaleHumansNeoplasm StagingROC CurveSensitivity and SpecificitySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkers, Tumor

Identifiers

PMID19756734
PMCPMC11828041
OpenAlexW2170556067

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.