Evidence map›Paper›PMID 39390584›Full record

ArticleMolecular cancer2024

Chaperone-mediated autophagy modulates Snail protein stability: implications for breast cancer metastasis.

Ki-Jun Ryu, Ki Won Lee, Seung-Ho Park, Taeyoung Kim, Keun-Seok Hong, Hyemin Kim, Minju Kim, Dong Woo Ok, Gu Neut Bom Kwon, Young-Jun Park and 5 more

Abstract read
In one paragraph

Article in Molecular cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

15 authors.

Ki-Jun Ryu *Division of Applied Life Science (Brain Korea 21 Four), Research Institute of Life Sciences, Gyeongsang National University, Jinju, 52828, Korea.
Ki Won Lee *Division of Applied Life Science (Brain Korea 21 Four), Research Institute of Life Sciences, Gyeongsang National University, Jinju, 52828, Korea.
Seung-Ho ParkEnvironmental Disease Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Korea.
Taeyoung KimDivision of Applied Life Science (Brain Korea 21 Four), Research Institute of Life Sciences, Gyeongsang National University, Jinju, 52828, Korea.
Keun-Seok HongDivision of Applied Life Science (Brain Korea 21 Four), Research Institute of Life Sciences, Gyeongsang National University, Jinju, 52828, Korea.
Hyemin KimDivision of Applied Life Science (Brain Korea 21 Four), Research Institute of Life Sciences, Gyeongsang National University, Jinju, 52828, Korea.
Minju KimDivision of Applied Life Science (Brain Korea 21 Four), Research Institute of Life Sciences, Gyeongsang National University, Jinju, 52828, Korea.
Dong Woo OkDivision of Applied Life Science (Brain Korea 21 Four), Research Institute of Life Sciences, Gyeongsang National University, Jinju, 52828, Korea.
Gu Neut Bom KwonDivision of Applied Life Science (Brain Korea 21 Four), Research Institute of Life Sciences, Gyeongsang National University, Jinju, 52828, Korea.
Young-Jun ParkEnvironmental Disease Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Korea.
Hyuk-Kwon KwonDivision of Applied Life Science (Brain Korea 21 Four), Research Institute of Life Sciences, Gyeongsang National University, Jinju, 52828, Korea.
Cheol HwangboDivision of Applied Life Science (Brain Korea 21 Four), Research Institute of Life Sciences, Gyeongsang National University, Jinju, 52828, Korea.
Kwang Dong KimDivision of Applied Life Science (Brain Korea 21 Four), Research Institute of Life Sciences, Gyeongsang National University, Jinju, 52828, Korea.
J Eugene LeeDivision of Biometrology, Korea Research Institute of Standards and Science, Daejeon, 34113, Korea.
Jiyun YooDivision of Applied Life Science (Brain Korea 21 Four), Research Institute of Life Sciences, Gyeongsang National University, Jinju, 52828, Korea. yooj@gsnu.ac.kr.

Funding

National Research Foundation of Korea NRF-2019R1A2C2083891National Research Foundation of Korea NRF-2019R1I1A1A01061909
6 · The paper itself

Abstract

Breast cancer remains a significant health concern, with triple-negative breast cancer (TNBC) being an aggressive subtype with poor prognosis. Epithelial-mesenchymal transition (EMT) is important in early-stage tumor to invasive malignancy progression. Snail, a central EMT component, is tightly regulated and may be subjected to proteasomal degradation. We report a novel proteasomal independent pathway involving chaperone-mediated autophagy (CMA) in Snail degradation, mediated via its cytosolic interaction with HSC70 and lysosomal targeting, which prevented its accumulation in luminal-type breast cancer cells. Conversely, Snail predominantly localized to the nucleus, thus evading CMA-mediated degradation in TNBC cells. Starvation-induced CMA activation downregulated Snail in TNBC cells by promoting cytoplasmic translocation. Evasion of CMA-mediated Snail degradation induced EMT, and enhanced metastatic potential of luminal-type breast cancer cells. Our findings elucidate a previously unrecognized role of CMA in Snail regulation, highlight its significance in breast cancer, and provide a potential therapeutic target for clinical interventions.

Indexed as

Chaperone-Mediated AutophagyEpithelial-Mesenchymal TransitionLysosomesProtein StabilitySnail Family Transcription FactorsAnimalsAutophagyBreast NeoplasmsCell Line, TumorFemaleHSC70 Heat-Shock ProteinsHumansMiceNeoplasm MetastasisProteolysisTriple Negative Breast NeoplasmsHSC70 Heat-Shock ProteinsSNAI1 protein, humanSnail Family Transcription FactorsBreast cancerChaperone-mediated autophagyEMTMetastasisSnail

Identifiers

PMID39390584
PMCPMC11468019

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.