Evidence map›Paper›PMID 40166149›Full record

ArticlebioRxiv : the preprint server for biology2025

p62 sorts Lupus La and selected microRNAs into breast cancer-derived exosomes.

Jordan Matthew Ngo, Justin Krish Williams, Morayma Mercedes Temoche-Diaz, Abinayaa Murugupandiyan, Randy Schekman

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

5 authors.

Jordan Matthew NgoDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0002-6566-3919
Justin Krish WilliamsDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0002-9447-5554
Morayma Mercedes Temoche-DiazDepartment of Plant and Microbial Biology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0003-1119-1749
Abinayaa MurugupandiyanDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States.
Randy SchekmanDepartment of Molecular and Cell Biology, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, United States.ORCID 0000-0001-8615-6409

Funding

Mechanism of Lupus La:miR-122 ribonucleoprotein sorting into breast cancer-derived exosomesF31CA284881 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI NGO, JORDAN MATTHEW · 2023 to 2024
$90k
NCI NIH HHS F31 CA284881
6 · The paper itself

Abstract

Exosomes are multivesicular body-derived extracellular vesicles that are secreted by metazoan cells. Exosomes have utility as disease biomarkers, and exosome-mediated miRNA secretion has been proposed to facilitate tumor growth and metastasis. Previously, we demonstrated that the Lupus La protein (La) mediates the selective incorporation of miR-122 into metastatic breast cancer-derived exosomes; however, the mechanism by which La itself is sorted into exosomes remains unknown. Using unbiased proximity labeling proteomics, biochemical fractionation, superresolution microscopy and genetic tools, we establish that the selective autophagy receptor p62 sorts La and miR-122 into exosomes. We then performed small RNA sequencing and found that p62 depletion reduces the exosomal secretion of tumor suppressor miRNAs and results in their accumulation within cells. Our data indicate that p62 is a quality control factor that modulates the miRNA composition of exosomes. Cancer cells may exploit p62-dependent exosome cargo sorting to eliminate tumor suppressor miRNAs and thus to promote cell proliferation.

Identifiers

PMID40166149
PMCPMC11957149

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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.