Evidence map›Paper›PMID 34815380›Full record

ArticleCell death & disease2021

Long non-coding RNA HOMER3-AS1 drives hepatocellular carcinoma progression via modulating the behaviors of both tumor cells and macrophages.

Jian Pu, Wenchuan Li, Anmin Wang, Ya Zhang, Zebang Qin, Zuoming Xu, Jianchu Wang, Yan Lu, Qianli Tang, Huamei Wei

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Review
  3. mCancer cell international · 2025
    Article
  4. Review
  5. Harnessing the power ofWorld journal of gastroenterology · 2024
    Article
  6. Review
  7. Review
  8. Review
  9. METTL3 and METTL14-mediated NScientific reports · 2024
    Article
  10. Review
  11. Review
  12. Article
  13. mScientific reports · 2023
    Article
  14. NCancer science · 2023
    Article
  15. Review
  16. Review
  17. NJournal of hepatocellular carcinoma · 2023
    Article
  18. Review
  19. Review
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 1 institution in 1 country.

Jian Pu *Department of Hepatobiliary Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Wenchuan Li *Department of Hepatobiliary Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Anmin WangGraduate College of Youjiang Medical University for Nationalities, Baise, China.
Ya ZhangGraduate College of Youjiang Medical University for Nationalities, Baise, China.
Zebang QinGraduate College of Youjiang Medical University for Nationalities, Baise, China.
Zuoming XuDepartment of Hepatobiliary Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Jianchu WangDepartment of Hepatobiliary Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Yan LuDepartment of Hepatobiliary Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Qianli TangDepartment of Hepatobiliary Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China. tang_qianli@yeah.net.ORCID http://orcid.org/0000-0002-0697-9948
Huamei WeiDepartment of Pathology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China. weihuamei@yeah.net.ORCID http://orcid.org/0000-0003-4271-0847
Affiliated Hospital of Youjiang Medical University for Nationalities · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The crosstalk between cancer cells and tumor microenvironment plays critical roles in hepatocellular carcinoma (HCC). The identification of long non-coding RNAs (lncRNAs) mediating the crosstalk might promote the development of new therapeutic strategies against HCC. Here, we identified a lncRNA, HOMER3-AS1, which is over-expressed in HCC and correlated with poor survival of HCC patients. HOMER3-AS1 promoted HCC cellular proliferation, migration, and invasion, and reduced HCC cellular apoptosis. Furthermore, HOMER3-AS1 promoted macrophages recruitment and M2-like polarization. In vivo, HOMER3-AS1 significantly facilitated HCC progression. Mechanism investigations revealed that HOMER3-AS1 activated Wnt/β-catenin signaling via upregulating HOMER3. Functional rescue experiments revealed that HOMER3/Wnt/β-catenin axis mediated the roles of HOMER3-AS1 in promoting HCC cellular malignant phenotypes. Furthermore, colony stimulating factor-1 (CSF-1) was also identified as a critical downstream target of HOMER3-AS1. HOMER3-AS1 increased CSF-1 expression and secretion. Blocking CSF-1 reversed the roles of HOMER3-AS1 in inducing macrophages recruitment and M2 polarization. Furthermore, positive correlations between HOMER3-AS1 and HOMER3 expression, HOMER3-AS1 and CSF-1 expression, and HOMER3-AS1 expression and M2-like macrophages infiltration were found in human HCC tissues. In summary, our findings demonstrated that HOMER3-AS1 drives HCC progression via modulating the behaviors of both tumor cells and macrophages, which are dependent on the activation of HOMER3/Wnt/β-catenin axis and CSF-1, respectively. HOMER3-AS1 might be a promising prognostic and therapeutic target for HCC.

Indexed as

AnimalsCarcinoma, HepatocellularCell Line, TumorDisease ProgressionFemaleHumansLiver NeoplasmsMacrophagesMaleMiceMice, NudeMiddle AgedOncogenesPrognosisRNA, Long NoncodingTumor Cells, CulturedRNA, Long Noncoding

Identifiers

PMID34815380
PMCPMC8611033
OpenAlexW3215459266

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.