Evidence map›Paper›PMID 30974861›Full record

ArticleCancers2019

LC/MS-Based Polar Metabolite Profiling Identified Unique Biomarker Signatures for Cervical Cancer and Cervical Intraepithelial Neoplasia Using Global and Targeted Metabolomics.

Imran Khan, Miso Nam, Minji Kwon, Sang-Soo Seo, Sunhee Jung, Ji Soo Han, Geum-Sook Hwang, Mi Kyung Kim

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

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  18. Monophasic Variant ofMicroorganisms · 2023
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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

8 authors at 2 institutions in 1 country.

Imran KhanDivision of Cancer Epidemiology and Prevention, National Cancer Center, Madu-dong, Ilsandong-gu, Goyang-si, Gyeonggi-do 10408, Korea. imranbbt@ncc.re.kr.
Miso NamIntegrated Metabolomics Research Group, Western Seoul Center, Korea Basic Science Institute, Seoul 03759, Korea. nms65@kbsi.re.kr.
Minji KwonDivision of Cancer Epidemiology and Prevention, National Cancer Center, Madu-dong, Ilsandong-gu, Goyang-si, Gyeonggi-do 10408, Korea. 74433@ncc.re.kr.
Sang-Soo SeoCenter for Uterine Cancer, National Cancer Center, Madu-dong, Ilsandong-gu, Goyang-si, Gyeonggi-do 10408, Korea. ssseomd@ncc.re.kr.
Sunhee JungIntegrated Metabolomics Research Group, Western Seoul Center, Korea Basic Science Institute, Seoul 03759, Korea. jsh204@kbsi.re.kr.
Ji Soo HanIntegrated Metabolomics Research Group, Western Seoul Center, Korea Basic Science Institute, Seoul 03759, Korea. hjs0503@kbsi.re.kr.
Geum-Sook HwangIntegrated Metabolomics Research Group, Western Seoul Center, Korea Basic Science Institute, Seoul 03759, Korea. gshwang@kbsi.re.kr.
Mi Kyung KimDivision of Cancer Epidemiology and Prevention, National Cancer Center, Madu-dong, Ilsandong-gu, Goyang-si, Gyeonggi-do 10408, Korea. alrud@ncc.re.kr.
Korea Basic Science Institute · KRNational Cancer Center · KR

Funding

Korea Basic Science Institute T39623Korea Basic Science Institute T39720National Cancer Center NCC-1610210National Cancer Center NCC-1810920National Research Foundation 2017M3A9C4065961National Research Foundation 2017M3A9D5A01052449
6 · The paper itself

Abstract

Cervical cancer remains one of the most prevalent cancers among females worldwide. Therefore, it is important to discover new biomarkers for early diagnosis of cervical intraepithelial neoplasia (CIN) and cervical cancer, preferably non-invasive ones. In the present study, we aimed to identify unique metabolic signatures for CINs and cervical cancers using global and targeted metabolomic profiling. Plasma samples (69 normal, 55 CIN1, 42 CIN2/3, and 60 cervical cancer) were examined by ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry (UPLC-QTOF-MS) coupled with multivariate statistical analysis. Metabolic pathways were analyzed using the integrated web-based tool MetaboAnalyst. A multivariate logistic regression analysis was conducted to evaluate the combined association of metabolites and human papillomavirus (HPV) status with the risk of cervical carcinogenesis. A total of 28 metabolites exhibiting discriminating levels among normal, CIN, and cervical cancer patients (Kruskal-Wallis test

Indexed as

biomarkercervical cancerhuman papillomavirusmetabolic pathwaysmetabolomic analysisplasma profiling

Identifiers

PMID30974861
PMCPMC6521312
OpenAlexW2938760353

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.