Evidence map›Paper›PMID 36417085›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2023

Identification of HAGHL as a novel metabolic oncogene regulating human colorectal cancer progression.

Yan Xu, Xiaojun Zhou, Ling Gao, Su Yan, Zhenyun Li, Daiyi Zhang, Jianhong Pu, Shitao Zou, Zhongqi Mao

Abstract read
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In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2023. 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
0.4field-weighted citation impact, top 45% 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

5 citing papers in PubMed, 6 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.

Yan XuDepartment of General Surgery, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, 215006, Jiangsu, People's Republic of China.
Xiaojun ZhouDepartment of General Surgery, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, 215006, Jiangsu, People's Republic of China.
Ling GaoDepartment of General Surgery, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, 215006, Jiangsu, People's Republic of China.
Su YanHealth Management Center, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, People's Republic of China.
Zhenyun LiHealth Management Center, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, People's Republic of China.
Daiyi ZhangHealth Management Center, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, People's Republic of China.
Jianhong PuHealth Management Center, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, People's Republic of China.
Shitao ZouSuzhou Cancer Center Core Laboratory, The Affiliated Suzhou Hospital of Nanjing Medical University, 16 Baita West Road, Suzhou, 215001, Jiangsu, People's Republic of China. stzoupku@126.com.ORCID http://orcid.org/0000-0001-5147-0975
Zhongqi MaoDepartment of General Surgery, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, 215006, Jiangsu, People's Republic of China. maozq31@hotmail.com.
Soochow University · CNSuzhou Municipal Hospital · CN

Funding

Jiangsu Commission of Health BJ21009National Natural Science Foundation of China 81802341National Natural Science Foundation of China 81974375Suzhou Administration of Science & Technology SKY2021037
6 · The paper itself

Abstract

purposeCancer development remains the most challenging obstacle in colorectal cancer (CRC) treatment. The current study aims to identify and demonstrate novel oncogenes for CRC.

methodsThe CRC data of the Cancer Genome Atlas database and the Gene Expression Omnibus database were subjected to bioinformatics analysis to identify the novel potential diagnostic and prognostic biomarkers for CRC. Immunohistochemical assay, western blot, and quantitative PCR (qPCR) were used to analyze hydroxyacylglutathione hydrolase-like (HAGHL) gene expression in CRC tissues and cultured CRC cells. D-Lactate colorimetric assay was applied to determine concentration of D-lactate in supernatants from CRC tissues and cell culture medium. Cell counting kit-8 (CCK-8) assay, flow cytometry, tumor xenografts experiment, and TUNEL staining analysis were performed to evaluate the function of HAGHL in CRC.

resultsWe comprehensively analyzed the CRC data of the Cancer Genome Atlas database and the Gene Expression Omnibus database, and identified several novel potential diagnostic and prognostic biomarkers for CRC, including HAGHL, DNTTIP1, DHX34, and AP1S3. The expression of HAGHL, the strongest oncogenic activity gene, is positively related to D-lactate levels in CRC tissues and negatively associated with patient prognosis. HAGHL downregulation suppressed the production of D-lactate and induced apoptosis, resulting in inhibition of cell proliferation in vitro. In vivo experiment showed that knockdown of HAGHL induced cell apoptosis and inhibited tumor growth.

conclusionThese findings suggest that HAGHL acts as a novel metabolic oncogene and demonstrate the underlying mechanism by which HAGHL regulates CRC progression, highlighting its utility as a diagnostic and prognostic factor and as a potential therapeutic target for the treatment of CRC.

Indexed as

Colorectal NeoplasmsMicroRNAsBiomarkersCell Line, TumorCell MovementCell ProliferationGene Expression Regulation, NeoplasticHumansLactatesOncogenesRNA HelicasesBiomarkersDHX34 protein, humanLactatesMicroRNAsRNA HelicasesColorectal cancerD-LactateGlyoxalase systemHAGHLOncogene

Identifiers

PMID36417085
OpenAlexW4309746459

What OpenQuestion holds

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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.