ReviewAnnals of translational medicine2019
Research progress on KIF3B and related diseases.
Review in Annals of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed, 13 citations in OpenAlex.
- Article
- miR-127-3p Inhibits Cell Stemness and Docetaxel Resistance in Triple-Negative Breast Cancer by Targeting KIF3B.The Kaohsiung journal of medical sciences · 2026Article
- Multidimensional exploration of the relationship between gut microbiota and colorectal cancer: focus on clinical tumorigenesis and treatment.Frontiers in immunology · 2026Review
- Primary cilia gene defects in BMSCs induce idiopathic scoliosis.Cellular and molecular life sciences : CMLS · 2025Article
- Genome-wide identification and expression analysis of theFrontiers in genetics · 2024Article
- YY1 modulates the radiosensitivity of esophageal squamous cell carcinoma through KIF3B-mediated Hippo signaling pathway.Cell death & disease · 2023Article
- Anti-aging Effects of Alu Antisense RNA on Human Fibroblast Senescence Through the MEK-ERK Pathway Mediated by KIF15.Current medical science · 2023Article
- SKA1/2/3 serves as a biomarker for poor prognosis in human lung adenocarcinoma.Translational lung cancer research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Kinesins constitute a protein superfamily that belongs to the motor protein group. Kinesins move along microtubules to exert their various functions, which include intracellular transportation, mitosis, and cell formation. Kinesins are responsible for the transport of various membrane organelles, protein complexes, mRNA and other material, as well as the regulation of intracellular molecular signal pathways. Cumulative studies have also indicated that kinesins are related to the development of a variety of human diseases. At present, there are 14 subfamilies of the kinesin superfamily (KIFs), comprising 45 members. KIF3 is the most common expression in KIFs. KIF3 is a complex composed of a KIF3A/3B heterodimer and a kinesin-related protein, known as KAP3. These complexes are organelles and protein complexes involved in membrane binding in various tissues and transport within cells (nerve cells, melanocytes, epithelial cells, etc.). As a member of the KIF3 subfamily, KIF3B is an essential protein that can regulate cell migration, and proliferation and has critical biological functions. During mitosis, KIF3B is responsible for vesicle transport and membrane expansion, thus regulating cell migration. In recent years, more and more attention has been paid to the relationship between KIF3B and the occurrence and development of diseases. This article reviews the recent advances in the study of KIF3B and its related diseases.
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.