ArticleCancer science2015
Long non-coding RNA Fer-1-like protein 4 suppresses oncogenesis and exhibits prognostic value by associating with miR-106a-5p in colon cancer.
Article in Cancer science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 4 of them syntheses that pooled 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.
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
78 citing papers in PubMed, 4 syntheses or guidelines pooled it, 112 citations in OpenAlex.
- Biomarker roles identification of miR-106 family for predicting the risk and poor survival of colorectal cancer.BMC cancer · 2020Pooled it
- Prognostic Value of Long Noncoding RNAs in Patients with Gastrointestinal Cancer: A Systematic Review and Meta-Analysis.Disease markers · 2018Pooled it
- Prognostic role of microRNAs in human gastrointestinal cancer: A systematic review and meta-analysis.Oncotarget · 2017Pooled it
- Diagnostic and prognostic value of miR-106a in colorectal cancer.Oncotarget · 2017Pooled it
- Differentially expressed profiles of LncRNAs in pterygium.BMC ophthalmology · 2025Article
- PTEN-mediated resistance in cancer: From foundation to future therapies.Toxicology reports · 2025Review
- Autophagy-related long non-coding RNA MIR210HG plays a therapeutic role in hepatocellular carcinoma.Discover oncology · 2025Article
- Long non‑coding RNAs as diagnostic and prognostic biomarkers for colorectal cancer (Review).Oncology letters · 2024Review
- Exploring miRNA Profiles in Colon Cancer: A Focus on miR101-3p, miR106a-5p, and miR326.Cancers · 2024Article
- Deciphering the Role of Exosomal Non-Coding RNA (ncRNA) in Drug Resistance of Gastrointestinal Tumors; an Updated Review.Cell biochemistry and biophysics · 2024Review
- The functions and mechanisms of long non-coding RNA in colorectal cancer.Frontiers in oncology · 2024Review
- Fer-1 like family member 4 pseudogene: novel potential diagnostic and prognostic biomarker for cutaneous melanoma.EXCLI journal · 2024Article
- Expression and Alteration Value of Long Noncoding RNA AB073614 and FER1L4 in Patients with Acute Myeloid Leukemia (AML).Asian Pacific journal of cancer prevention : APJCP · 2023Article
- Neuroinflammation-associated miR-106a-5p serves as a biomarker for the diagnosis and prognosis of acute cerebral infarction.BMC neurology · 2023Article
- Prognostic and predictive value of a lncRNA signature in patients with stage II colon cancer.Scientific reports · 2023Article
- The Role and Mechanism of Long Non-Coding RNA HOTAIR in the Oncogenesis, Diagnosis, and Treatment of Head and Neck Squamous Cell Carcinoma.Clinical Medicine Insights. Oncology · 2023Review
- Pseudogenes and the associated ceRNA network as potential prognostic biomarkers for colorectal cancer.Scientific reports · 2022Article
- HOTAIR mediates cisplatin resistance in nasopharyngeal carcinoma by regulating miR-106a-5p/SOX4 axis.Bioengineered · 2022Article
- Article
- Circulating miRNA expression over the course of colorectal cancer treatment.Oncology letters · 2022Article
18 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Novel long non-coding RNA Fer-1-like protein 4 (FER1L4) has been confirmed to play crucial regulatory roles in tumor progression. It exerts an impact on tumor suppression and functions as a competing endogenous RNA (ceRNA) by sponging miR-106a-5p in gastric cancer. However, its clinical significance in colon cancer is completely unknown. The aim of the present study was to annotate the role of FER1L4 and its clinical value in colon cancer. The results showed the aberrant expression of FER1L4 and miR-106a-5p in colon cancer tissues. In addition, significant negative correlation between FER1L4 and miR-106a-5p expression levels was observed. Among the colon cancer cell lines, FER1L4 levels were relatively lower, with concurrent high levels of miR-106a-5p. Restoration of FER1L4 decreased the expression of miR-106a-5p, and had a significant influence on colon cancer cell proliferation, migration and invasion. The FER1L4 expression was correlated with depth of tumor invasion, lymph node metastasis, vascular invasion and clinical stage. Moreover, striking differences in overall survival and disease-free survival were observed for the cases with both low FER1L4 expression and high miR-106a-5p expression compared with cases with high FER1L4 expression and low miR-106a-5p expression. Circulating FER1L4 and miR-106a-5p levels were decreased and increased, respectively, in colon cancer patients after surgery. Our findings indicated that FER1L4 could exert a tumor suppressive impact on colon cancer, which at least, in part, through suppressing miR-106a-5p expression, and depletion of FER1L4, alone or combined with overexpression of miR-106a-5p, is predictive of poor prognosis in colon cancer and may play a crucial role in cancer prevention and treatment.
Indexed as
Identifiers
What OpenQuestion holds
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.