Evidence map›Paper›PMID 35117632›Full record

ArticleTranslational cancer research2020

Exploring metabolomics biomarkers for evaluating the effectiveness of concurrent radiochemotherapy for cervical cancers.

Huihui Zhou, Qi Li, Tong Wang, Hong Liang, Yanan Wang, Yani Duan, Min Song, Yaoxian Wang, Hong Jin

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

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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

5 citing papers in PubMed, 7 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

9 authors at 2 institutions in 1 country.

Huihui ZhouInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin 150081, China.
Qi LiDepartment of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin 150081, China.
Tong WangInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin 150081, China.
Hong LiangInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin 150081, China.
Yanan WangInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin 150081, China.
Yani DuanInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin 150081, China.
Min SongDepartment of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin 150081, China.
Yaoxian WangDepartment of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin 150081, China.
Hong JinDepartment of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin 150081, China.
Harbin Medical University · CNThird Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer is the second most common female malignancy worldwide. The main method to evaluate the effect of concurrent chemoradiotherapy (CCRT) in the locally advanced stage is imaging which cannot meet the clinical needs. This study aimed to explore potential cervical cancer biomarkers via plasma metabolomics and evaluate the effectiveness of CCRT and disease progression.

methodsTwenty-four primary and thirty recurrent patients were enrolled between November 2016 and November 2017. Plasma samples were obtained by centrifugation of whole blood collected from enrolled patients at admission and from primary patients after CCRT. Plasma metabolic profiles were determined via ultra-performance liquid chromatography with quadrupole time-of-flight mass spectrometry. Multivariate analyses and public databases were used to screen and identify differential metabolites. Pathway analysis was conducted using MetaboAnalyst.

resultsMetabolic profiles obtained were significantly different among primary, post-CCRT-treated, and recurrent patients. Multivariate analyses showed that 37 metabolites differed significantly among the three groups, of which the levels of 22 metabolites changed significantly after CCRT and recovered or even exceeded the levels in primary patients when the tumor reappeared. These 22 metabolites were mainly lipids involved in sphingolipid and glycerophospholipid metabolism. Among them, 8 metabolites with area under curve values above 0.75 between each pair of groups exhibited great potential for evaluating CCRT effectiveness and disease progression.

conclusionsOur results show significantly different plasma metabolic profiles among the three cervical cancer groups; 8 metabolites were identified as potential biomarkers to evaluate the effectiveness of CCRT and disease progression, which can help evaluate the prognosis and treatment of cervical cancer in a timely manner.

Indexed as

biomarkerCervical squamous cell carcinoma (CSCC)concurrent chemoradiotherapy (CCRT)metabolomicsUPLC-Q-TOF/MS

Identifiers

PMID35117632
PMCPMC8797309
OpenAlexW3015457006

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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.