Evidence map›Paper›PMID 39627767›Full record

ArticleCancer cell international2024

Lysosomal gene ATP6AP1 promotes doxorubicin resistance via up-regulating autophagic flux in breast cancer.

Yinjiao Fei, Xueqin Yan, Mingxing Liang, Shu Zhou, Di Xu, Lei Li, Weilin Xu, Yuxin Song, Zhen Zhu, Jian Zhang

Abstract read
In one paragraph

Article in Cancer cell international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. [ATPase HZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Article
  2. Article
  3. Review
  4. Review
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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

10 authors.

Yinjiao Fei *Department of Radiation Therapy, the First Affiliated Hospital With Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, People's Republic of China.
Xueqin Yan *Department of General Surgery, the First Affiliated Hospital With Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, People's Republic of China.
Mingxing LiangDepartment of Thyroid Surgery, the Second Affiliated Hospital of Zhejiang University School of Medicine, 88Jiefang Road, Hangzhou, 310009, People's Republic of China.
Shu ZhouDepartment of Radiation Therapy, the First Affiliated Hospital With Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, People's Republic of China.
Di XuDepartment of General Surgery, the First Affiliated Hospital With Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, People's Republic of China.
Lei LiDepartment of General Surgery, the First Affiliated Hospital With Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, People's Republic of China.
Weilin XuDepartment of Radiation Therapy, the First Affiliated Hospital With Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, People's Republic of China.
Yuxin SongDepartment of General Surgery, the First Affiliated Hospital With Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, People's Republic of China.
Zhen ZhuDepartment of General Surgery, the First Affiliated Hospital With Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, People's Republic of China. zhuzhen@njmu.edu.cn.
Jian ZhangDepartment of General Surgery, the First Affiliated Hospital With Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, People's Republic of China. dr_jianzhang@njmu.edu.cn.

Funding

Jiangsu Funding Program for Excellent Postdoctoral Talent 2022ZB715National Natural Science Foundation of China 82203119Natural Science Foundation of Jiangsu Province BK20220733
6 · The paper itself

Abstract

backgroundBreast cancer remains the most prevalent malignancy in women. Chemotherapy is the primary systemic treatment modality, and the effectiveness of treatment is often hampered by chemoresistance. Autophagy has been implicated in promoting chemoresistance, as elevated autophagic flux supports tumor cell survival under therapeutic stress. Since lysosomes are essential for the completion of autophagy, their role in autophagy-related chemoresistance has been insufficiently studied. This study aims to elucidate the role of the lysosomal gene ATP6AP1 in promoting chemoresistance in breast cancer by upregulating autophagic flux.

methodsDoxorubicin-induced cell death was assessed by cytotoxicity, flow cytometry, lactate dehydrogenase (LDH) release assays in various breast cancer cell lines. Autophagic flux was assessed with western blot and the mRFP-GFP-LC3 fluorescence imaging. Breast cancer cells were infected with shRNA lentivirus targeting ATP6AP1, allowing investigation its tole in doxorubicin-induced cell death. ATP6AP1 expression and its association with prognosis were evaluated using public databases and immunohistochemistry.

resultsDoxorubicin-induced cell death in breast cancer cells is negatively correlated with increased autophagic flux and lysosomal acidification. The lysosomal gene ATP6AP1, which plays a role in autophagic processes, is upregulated in breast cancer tissues. Knocking down ATP6AP1 reduces autophagy-mediated doxorubicin resistance by inhibiting autophagic flux and lysosomal acidification in breast cancer cells. Data analysis from public databases and our cohort indicate that elevated ATP6AP1 expression correlates with poor response to doxorubicin-based neoadjuvant chemotherapy (NAC) and worse prognosis.

conclusionsDoxorubicin-induced cytotoxicity is associated with autophagy flux in breast cancer. The lysosomal gene ATP6AP1 facilitates autolysosome acidification and contributes to doxorubicin resistance in breast cancer.

Indexed as

ATP6AP1AutophagyBreast cancerChemoresistanceDoxorubicin

Identifiers

PMID39627767
PMCPMC11616228

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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.