Evidence map›Paper›PMID 41642562›Full record

ReviewCurrent oncology reports2026

Lys-ing the Resistance: Targeting Lysosomes to Overcome Chemoresistance in Ovarian Cancer.

Aditya Vayalapalli, Balint Kacsoh, Ilana Chefetz

Abstract readReview
In one paragraph

Review in Current oncology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Aditya VayalapalliCollege of Liberal Arts and Sciences, Mercer University, Macon, GA, 31207, USA.
Balint KacsohDepartment of Biomedical Sciences, Mercer University School of Medicine, Macon, GA, 31207, USA.
Ilana ChefetzDepartment of Biomedical Sciences, Mercer University School of Medicine, Macon, GA, 31207, USA. chefetz_i@mercer.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewFor decades, ovarian cancer (OC) therapy has mainly relied on a regimen of tumor resection followed by treatment with cisplatin and paclitaxel. While this treatment is usually effective initially, resistance to this regimen in OC is widespread and is often the cause of death in OC patients. In the attempt to find new molecular targets for the treatment of chemoresistant OC, understanding the precise mechanisms of chemoresistance remains a paramount task. This review examines the critical roles of the lysosome in the instigation of chemoresistance in OC and explores possible clinical applications for overcoming chemoresistance. RECENT

findingsLysosomes contribute to chemoresistance through various mechanisms, including increased lysosomal biogenesis, resulting from the enhanced activity of transcription factor EB, a master regulator of the autophagy-lysosome pathway, which enhances cellular capacity for drug sequestration. Lysosomal exocytosis allows the cell to secrete chemotherapeutic agents from OC cells. Lysosomal autophagy pathways enable OC cells to selectively recycle cell components during chemotherapeutic stress. Finally, lysosomal signaling pathways disrupt various cell death mechanisms such as apoptosis, necroptosis, and ferroptosis, which allow cancer cells to evade death under chemotherapeutic stress. Targeting lysosomal biogenesis, stage-specific autophagy modulation, and lysosome-dependent metabolic vulnerabilities are promising avenues for sensitization of chemoresistant OC cells.

Indexed as

Antineoplastic AgentsDrug Resistance, NeoplasmLysosomesOvarian NeoplasmsAnimalsAutophagyFemaleHumansSignal TransductionAntineoplastic AgentsAutophagyCancerCell deathChemoresistanceExocytosisLysosomeSequestration

Identifiers

PMID41642562
PMCPMC12876461

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Registered trials

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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.