Evidence map›Paper›PMID 38696320›Full record

ArticleAging2024

Long non-coding RNA HOTAIR: from pan-cancer analysis to colorectal cancer-related uridine metabolism.

Xuyu Chen, Siying Wang, Xin Jiang, Min Zhang, Yanbing Ding

Abstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
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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

5 authors.

Xuyu ChenDepartment of Gastroenterology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Siying WangDepartment of Oncology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xin JiangDepartment of Gastroenterology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Min ZhangDepartment of Gastroenterology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Yanbing DingDepartment of Gastroenterology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) are involved significantly in the development of human cancers. lncRNA HOTAIR has been reported to play an oncogenic role in many human cancers. Its specific regulatory role is still elusive. And it might have enormous potential to interpret the malignant progression of tumors in a broader perspective, that is, in pan-cancer. We comprehensively investigated the effect of HOTAIR expression on tumor prognosis across human malignancies by analyzing multiple cancer-related databases like The Cancer Genome Atlas (TCGA) and Tumor Immune Estimation Resource (TIMER). Bioinformatics data indicated that HOTAIR was overexpressed in most of these human malignancies and was significantly associated with the prognosis of patients with cancer, especially in colorectal cancer (CRC). Subsequently, this study further clarified the utility of HOTAIR that downregulation of its expression could result in reduced proliferation and invasion of CRC cells. Mechanistically, HOTAIR upregulated the metabolic enzymes UPP1 by recruiting histone methyltransferase EZH2, thereby increasing the tumor progression. Our results highlight the essential role of HOTAIR in pan-cancer and uridine bypass, suggesting that the HOTAIR/EZH2/UPP1 axis might be a novel target for overcoming CRC. We anticipate that the role of HOTAIR in metabolism could be important in the context of CRC and even exploited for therapeutic purposes.

Indexed as

Cell ProliferationColorectal NeoplasmsGene Expression Regulation, NeoplasticRNA, Long NoncodingUridineCell Line, TumorEnhancer of Zeste Homolog 2 ProteinHumansPrognosisEnhancer of Zeste Homolog 2 ProteinEZH2 protein, humanHOTAIR long untranslated RNA, humanRNA, Long NoncodingUridinebiomarkercolorectal cancerHOTAIRpan-canceruridine bypass

Identifiers

PMID38696320
PMCPMC11132002

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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.