ArticleBioengineered2022
Examination of the effects of microRNA-145-5p and phosphoserine aminotransferase 1 in colon cancer.
Article in Bioengineered, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 8 papers.
What it found
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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.
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.
Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- A Systematic Bioinformatic Analysis of the miRNA Pathway in Inborn Errors of Amino Acid Metabolism Disorders.Molecular syndromology · 2026Article
- Serine metabolism reprogramming in cancer: a multi-tiered regulatory framework.Acta biochimica et biophysica Sinica · 2025Review
- miR-107 Targets NSG1 to Regulate Hypopharyngeal Squamous Cell Carcinoma Progression through ERK Pathway.International journal of molecular sciences · 2024Article
- MicroRNA regulation of the serine synthesis pathway in endocrine-resistant breast cancer cells.Endocrine-related cancer · 2023Article
- Comparison of efficacy and safety between endoscopic mucosal dissection and resection in the treatment of early gastrointestinal cancer and precancerous lesions: a systematic review and meta-analysis.Journal of gastrointestinal oncology · 2023Article
- Article
- The role of serine metabolism in lung cancer: From oncogenesis to tumor treatment.Frontiers in genetics · 2022Review
- Downregulated miRNA-491-3p accelerates colorectal cancer growth by increasing uMtCK expression.PeerJ · 2022Article
Corrections and comments
- Retracted
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Previous studies manifested that microRNA-145-5p is pivotal in the development of various cancers. Nevertheless, the potential function of microRNA-145-5p in colorectal cancer remains unclear. This study attempted to investigate the potential role and possible mechanism of microRNA-145-5p in colon cancer. MicroRNA-145-5p and phosphoserine aminotransferase 1 (PSAT1) levels in colon cancer cells were assayed via quantitative reverse transcription polymerase chain reaction (qRT-PCR). Cell proliferation and cell cycle status were assessed using Cell Counting Kit-8, colony formation, and flow cytometry. The target binding relationship of microRNA-145-5p and PSAT1 was identified using bioinformatics analysis and dual-luciferase reporter gene assay. The result of qRT-PCR disclosed that microRNA-145-5p was markedly down-regulated and PSAT1 level was up-regulated in colon cancer cell lines. Besides, enforced microRNA-145-5p level repressed proliferation of colon cancer cells, and cells were arrested in G0-G1 phase. Bioinformatics analysis and dual-luciferase reporter genes confirmed that PSAT1 was a downstream target of microRNA-145-5p. Enforced PSAT1 level remarkably modulated cell cycle and fostered cell proliferation. Furthermore, rescue experiments displayed that microRNA-145-5p restrained cell cycle progression and cell proliferation and forced PSAT1 level could partially reverse this process. Taken together, our findings demonstrated that microRNA-145-5p repressed colon cancer cell cycle progression and cell proliferation via targeting PSAT1. Our findings identified microRNA-145-5p as an essential tumor repressor gene in colon cancer and may provide a novel biomarker for colon cancer.
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Registered trials
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.