Evidence map›Paper›PMID 38760791›Full record

ArticleJournal of translational medicine2024

Long non-coding RNA RP11-197K6.1 as ceRNA promotes colorectal cancer progression via miR-135a-5p/DLX5 axis.

Mingkun Wang, Xuben Niu, Maihuan Wang, Peng Zheng, Xiaoya Liu, Zhen Cao, Chaojun Zhang

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

11 citing papers in PubMed.

  1. Article
  2. Apigenin 7-glucoside reprograms tumor metabolism and enhances immunotherapy efficacy in colorectal cancer via DLX5.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Long noncoding RNAWorld journal of gastrointestinal oncology · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Article
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

7 authors.

Mingkun Wang *The Fifth School of Clinical Medicine, Navy Clinical College, Anhui Medical University, Hefei, Anhui, 230032, China.
Xuben Niu *Department of General Surgery, School of Medicine, South China University of Technology, Guangzhou, 510006, China.
Maihuan WangDepartment of General Surgery, The First Medical Center, Chinese PLA General Hospital, 28 Fuxing road, Haidian District, Beijing, 100853, China.
Peng ZhengThe Fifth School of Clinical Medicine, Navy Clinical College, Anhui Medical University, Hefei, Anhui, 230032, China.
Xiaoya LiuDepartment of General Surgery, School of Medicine, South China University of Technology, Guangzhou, 510006, China.
Zhen CaoThe Fifth School of Clinical Medicine, Navy Clinical College, Anhui Medical University, Hefei, Anhui, 230032, China. zhenyacy@163.com.
Chaojun ZhangThe Fifth School of Clinical Medicine, Navy Clinical College, Anhui Medical University, Hefei, Anhui, 230032, China. zcjdlyxzx@163.com.ORCID 0000-0003-4543-6978

Funding

Innovation Incubation Foundation of the Sixth Medical Center of PLA General Hospital CXPY201901Nature Science Foundation of China 81972320the National Natural Science Foundation of China 82103507
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) remains a major global health challenge, with high incidence and mortality rates. The role of long noncoding RNAs (lncRNAs) in cancer progression has received considerable attention. The present study aimed to investigate the function and mechanisms underlying the role of lncRNA RP11-197K6.1, microRNA-135a-5p (hsa-miR-135a-5p), and DLX5 in CRC development.

methodsWe analyzed RNA sequencing data from The Cancer Genome Atlas Colorectal Cancer dataset to identify the association between lncRNA RP11-197K6.1 and CRC progression. The expression levels of lncRNA RP11-197K6.1 and DLX5 in CRC samples and cell lines were determined by real-time quantitative PCR and western blotting assays. Fluorescence in situ hybridization was used to confirm the cellular localization of lncRNA RP11-197K6.1. Cell migration capabilities were assessed by Transwell and wound healing assays, and flow cytometry was performed to analyze apoptosis. The interaction between lncRNA RP11-197K6.1 and miR-135a-5p and its effect on DLX5 expression were investigated by the dual-luciferase reporter assay. Additionally, a xenograft mouse model was used to study the in vivo effects of lncRNA RP11-197K6.1 on tumor growth, and an immunohistochemical assay was performed to assess DLX5 expression in tumor tissues.

resultslncRNA RP11-197K6.1 was significantly upregulated in CRC tissues and cell lines as compared to that in normal tissues, and its expression was inversely correlated with patient survival. It promoted the migration and metastasis of CRC cells by interacting with miR-135a-5p, alleviated suppression of DLX5 expression, and facilitated tumor growth.

conclusionThis study demonstrated the regulatory network and mechanism of action of the lncRNA RP11-197K6.1/miR-135a-5p/DLX5 axis in CRC development. These findings provided insights into the molecular pathology of CRC and suggested potential therapeutic targets for more effective treatment of patients with CRC.

Indexed as

Cell MovementColorectal NeoplasmsHomeodomain ProteinsMicroRNAsRNA, Long NoncodingAnimalsApoptosisCell Line, TumorCell ProliferationDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansMaleMiceMice, Inbred BALB CHomeodomain ProteinsMicroRNAsMIRN135 microRNA, humanRNA, Competitive EndogenousRNA, Long NoncodingTranscription FactorsColorectal cancerDLX5Long noncoding RNAmiR-135a-5pmiRNARP11-197K6.1

Identifiers

PMID38760791
PMCPMC11102157

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Registered trials

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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.