Evidence map›Paper›PMID 42835026›Full record

ArticleFrontiers in oncology2026

Lysosomal-stress-driven cargo-fate switching between autophagic degradation and small extracellular vesicle release in triple-negative breast cancer: a hypothesis and theory article.

Yuanpeng Liu, Guocui Qi, Anjun Wang, Fengxiao Hu

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yuanpeng Liu *School of Medicine, Shandong Xiehe University, Jinan, Shandong, China.
Guocui Qi *School of Medicine, Qilu Institute of Technology, Jinan, Shandong, China.
Anjun WangSchool of Medicine, Qilu Institute of Technology, Jinan, Shandong, China.
Fengxiao HuSchool of Medicine, Qilu Institute of Technology, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) cells face metabolic, proteotoxic and treatment-associated stress, but the mechanisms that determine how stressed cells dispose of intracellular cargo remain incompletely defined. We hypothesize that lysosomal stress shifts part of the autophagy-associated cargo burden from intracellular degradation towards extracellular release in small extracellular vesicle (sEV)-enriched fractions. The rationale integrates general evidence linking autophagy with EV biology with two model-specific observations: RIP1 involvement in Manzamine A-induced secretory autophagy in breast cancer cells and RASAL2-dependent modulation of Rab27a activity and autophagy-associated sEV release in MDA-MB-231 cells. These observations motivate the hypothesis but do not establish its generality across TNBC backgrounds or forms of lysosomal stress. We therefore regard RIPK1 as a candidate regulator whose role may depend on the stress context, whereas the RASAL2-Rab27a module is functionally supported but mechanistically unresolved. The model predicts that perturbing these components will alter time-resolved paired intracellular and extracellular measurements. A coordinated sequence of lysosomal and autophagic changes preceding vesicle-associated export, together with exclusion of cell-death-associated particle release, would support the model; stressor-restricted, arm-specific or injury-associated outcomes would require its revision.

Indexed as

autophagylysosomal stressRASAL2RIPK1secretory autophagysmall extracellular vesiclestriple-negative breast cancer

Identifiers

PMID42835026
PMCPMC13634813

What OpenQuestion holds

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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.