Evidence map›Paper›PMID 29717133›Full record

ArticleCell death & disease2018

Kinesin light chain-4 depletion induces apoptosis of radioresistant cancer cells by mitochondrial dysfunction via calcium ion influx.

Jeong-Hwa Baek, Janet Lee, Hong Shik Yun, Chang-Woo Lee, Jie-Young Song, Hong-Duck Um, Jong Kuk Park, In-Chul Park, Jae-Sung Kim, Eun Ho Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

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  13. GenomeForest: An Ensemble Machine Learning Classifier for Endometriosis.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020
    Article
  14. 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

11 authors at 2 institutions in 1 country.

Jeong-Hwa BaekDivision of Applied Radiation Bioscience, Korea Institute of Radiological & Medical Sciences, Seoul, 01812, Korea.
Janet LeeDivision of Applied Radiation Bioscience, Korea Institute of Radiological & Medical Sciences, Seoul, 01812, Korea.
Hong Shik YunDivision of Applied Radiation Bioscience, Korea Institute of Radiological & Medical Sciences, Seoul, 01812, Korea.
Chang-Woo LeeDepartment of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, 440-746, Korea.
Jie-Young SongDivision of Applied Radiation Bioscience, Korea Institute of Radiological & Medical Sciences, Seoul, 01812, Korea.
Hong-Duck UmDivision of Applied Radiation Bioscience, Korea Institute of Radiological & Medical Sciences, Seoul, 01812, Korea.
Jong Kuk ParkDivision of Applied Radiation Bioscience, Korea Institute of Radiological & Medical Sciences, Seoul, 01812, Korea.
In-Chul ParkDivision of Applied Radiation Bioscience, Korea Institute of Radiological & Medical Sciences, Seoul, 01812, Korea.
Jae-Sung KimDivision of Applied Radiation Bioscience, Korea Institute of Radiological & Medical Sciences, Seoul, 01812, Korea.ORCID 0000-0002-8017-4515
Eun Ho KimDivision of Applied Radiation Bioscience, Korea Institute of Radiological & Medical Sciences, Seoul, 01812, Korea. eh140149@kirams.re.kr.
Sang-Gu HwangDivision of Applied Radiation Bioscience, Korea Institute of Radiological & Medical Sciences, Seoul, 01812, Korea. sgh63@kcch.re.kr.
Korea Institute of Radiological and Medical Sciences · KRSungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kinesins act as molecular microtubule-dependent motor proteins and have various important cellular functions related to cell division, intracellular transport, and membrane trafficking. However, the function of kinesin light chain 4 (KLC4) in cancer, especially radioresistance, has not been previously described. Thus, we investigated KLC4 function in lung cancer cells and radioresistant R-H460 cells by analyzing alterations in radiosensitivity after gene knockdown with siRNA and by evaluating cellular phenotypes and xenograft tumor growth. KLC4 was upregulated in human lung cancer cell lines. Moreover, in paired clinical specimens of lung cancer patients, KLC4 expression was significantly higher in tumor tissues than in paired adjacent normal tissues. Fluorescence-activated cell sorting (FACS) analysis showed that apoptosis rates and cleaved poly (ADP-ribose) polymerase (PARP) and cleaved caspase-3 levels in KLC4-knockdown lung cancer cells were significantly increased compared with those in control cells. Colony formation decreased as the radiation dose increased in KLC4-knockdown lung cancer cells, demonstrating an essential role for KLC4 in radioresistance. Importantly, KLC4 silencing suppressed tumor growth in an in vivo xenograft model, accompanied by increased apoptosis. Finally, KLC4-knockdown cells exhibited impaired mitochondrial respiration, increased mitochondrial reactive oxygen species production, and enhanced mitochondrial calcium uptake, resulting in mitochondrial dysfunction. Thus, KLC4 as a kinesin superfamily-targeted therapy may represent a novel, effective anticancer strategy, particularly for patients showing radioresistance.

Indexed as

ApoptosisCalcium SignalingLung NeoplasmsMicrotubule-Associated ProteinsMitochondriaRadiation ToleranceUterine Cervical NeoplasmsA549 CellsAnimalsCaspase 3FemaleGene Expression Regulation, NeoplasticHeLa CellsHumansKinesinsMaleCASP3 protein, humanCaspase 3KinesinsMicrotubule-Associated ProteinsPoly(ADP-ribose) PolymerasesReactive Oxygen Species

Identifiers

PMID29717133
PMCPMC5931584
OpenAlexW2800289316

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.