Evidence map›Paper›PMID 38074668›Full record

ArticleFrontiers in oncology2023

Multiomics analysis of metabolic heterogeneity in cervical cancer cell lines with or without HPV.

Xu Liu, Yaqi Zhu, Sheng Huang, Tingyu Shi, Tanghua Li, Yanan Lan, Xiaojian Cao, Yingtao Wu, Jinya Ding, Xiaohua Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 4 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

10 authors at 5 institutions in 1 country.

Xu Liu *Department of Laboratory Medicine, General Hospital of Central Theater Command, Wuhan, Hubei, China.
Yaqi Zhu *Department of Clinical Laboratory, Maternal and Child Health Hospital of Hubei Province, Wuhan, Hubei, China.
Sheng HuangSchool of Basic Medical Sciences, Hubei Minzu University, Enshi, Hubei, China.
Tingyu ShiSchool of Basic Medical Sciences, Hubei Minzu University, Enshi, Hubei, China.
Tanghua LiSchool of Basic Medical Sciences, Hubei Minzu University, Enshi, Hubei, China.
Yanan LanSchool of Basic Medical Sciences, Hubei Minzu University, Enshi, Hubei, China.
Xiaojian CaoState Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, China.
Yingtao WuDepartment of Laboratory Medicine, General Hospital of Central Theater Command, Wuhan, Hubei, China.
Jinya DingDepartment of Laboratory Medicine, General Hospital of Central Theater Command, Wuhan, Hubei, China.
Xiaohua ChenDepartment of Laboratory Medicine, General Hospital of Central Theater Command, Wuhan, Hubei, China.
Minzu University of China · CNCentral Hospital of Wuhan · CNHuazhong Agricultural University · CNHubei Provincial Women and Children's Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics analysis revealed the metabolic heterogeneity of cervical cancer (CC) cell lines C33A and CaSki, and their molecular mechanisms were explored. Using the modified Bligh-Dyer method, the endogenous metabolites of C33A and CaSki cells were divided into polar and nonpolar fractions. The metabolites were analysed by ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry (UPLC-Q-TOF-MS). Then, the differential metabolites were screened by combining multivariate statistical analysis and volcano maps, and functional enrichment and pathway analysis of the differential metabolites were performed. Finally, association analysis was carried out in combination with transcriptomics, and the important differential metabolisms were experimentally verified by real-time PCR (RT-qPCR) and oil red staining. The results showed that between the C33A and CaSki cell lines, there were significant differences in amino acids, nucleotides and lipids, such as in threonine, arachidonic acid and hypoxanthine, in the metabolic pathways. These compounds could be used as markers of differences in cellular metabolism. The heterogeneity of lipid metabolism accounted for 87.8%, among which C33A cells exhibited higher contents of fatty acid polar derivatives, while CaSki cells showed higher contents of free fatty acids and glycerides. Based on correlation analysis of the above metabolic differences in HPV pathways as well as lipid metabolism-related genes, p53 and the genes involved in lipid metabolism pathways, such as Peroxisome Proliferator Activated Receptor Gamma(PPARG) and stearoyl-CoA desaturase (SCD), are relevant to the metabolic heterogeneity of the cells. The differential expression of some genes was validated by RT-qPCR. CaSki cells showed significantly higher glyceride levels than that of C33A cells, as verified by oil red O staining and glyceride assays. The above results showed that the metabolomic differences between C33A and CaSki cells were relatively obvious, especially in lipid metabolism, which might be related to the decreased expression of PPARG and p53 caused by HPV E6. Further studies on the molecular mechanism of lipid metabolism heterogeneity in cervical cancer cell lines with or without HPV could provide a new reference for the development of CC and individualized treatments of tumour patients.

Indexed as

C33ACaSkicervical cancerlipid metabolismmetabolomics

Identifiers

PMID38074668
PMCPMC10701895
OpenAlexW4388942362

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Registered trials

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