Evidence map›Paper›PMID 35439677›Full record

ReviewEBioMedicine2022

Multi-omics approaches for biomarker discovery in early ovarian cancer diagnosis.

Yinan Xiao, Meiyu Bi, Hongyan Guo, Mo Li

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in EBioMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
133citing papers in PubMed, 5 pooled it
20.5field-weighted citation impact, top 1% 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

133 citing papers in PubMed, 5 syntheses or guidelines pooled it, 230 citations in OpenAlex.

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  17. HENMT1: an RNA methyltransferase in biology and disease.Journal of Zhejiang University. Science. B · 2026
    Review
  18. Translational cancer research · 2026
    Article
  19. Article
  20. Article

73 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Yinan XiaoCenter for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 10091, China; National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing 10091, China; Key Laboratory of Assisted Reproduction, Ministry of Education, Peking University, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Peking University Third Hospital, Beijing 10091, China.
Meiyu BiCenter for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 10091, China; National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing 10091, China; Key Laboratory of Assisted Reproduction, Ministry of Education, Peking University, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Peking University Third Hospital, Beijing 10091, China.
Hongyan GuoNational Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing 10091, China.
Mo LiCenter for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 10091, China; National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing 10091, China; Key Laboratory of Assisted Reproduction, Ministry of Education, Peking University, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Peking University Third Hospital, Beijing 10091, China. Electronic address: limo@hsc.pku.edu.cn.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) is a heterogeneous disease with the highest mortality rate and the poorest prognosis among gynecological malignancies. Because of the absence of specific early symptoms, most OC patients are often diagnosed at late stages. Thus, improved biomarkers of OC for use in research and clinical practice are urgently needed. The last decade has seen increasingly rapid advances in sequencing and biotechnological methodologies. Consequently, multiple omics technologies, including genomic/transcriptomic sequencings and proteomic/metabolomic mass spectra, have been widely applied to analyze tissue- and liquid-derived samples from OC patients. The integration of multi-omics data has increased our knowledge of the disease and identified valuable OC biomarkers. In this review, we summarize the recent advances and perspectives in the use of multi-omics technologies in OC research and highlight potential applications of multi-omics for identifying novel biomarkers and improving clinical assessments.

Indexed as

Ovarian NeoplasmsProteomicsBiomarkers, TumorCarcinoma, Ovarian EpithelialEarly Detection of CancerFemaleGenomicsHumansBiomarkers, TumorBiomarkerMulti-omicsOvarian cancerTranslational medicine

Identifiers

PMID35439677
PMCPMC9035645
OpenAlexW4224039596

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.