Evidence map›Paper›PMID 41497628›Full record

ArticlebioRxiv : the preprint server for biology2025

Identification of senescence-associated drivers of tumour growth and progression using a novel microarray platform.

Hui-Ling Ou, Reuben Hoffmann, Rebecca Smith, Kaylyn Devlin, Mark Dane, Daniel Muñoz-Espín, James E Korkola

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

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

7 authors.

Hui-Ling OuEarly Cancer Institute, Department of Oncology, University of Cambridge, UK.
Reuben HoffmannDepartment of Biomedical Engineering, Knight Cancer Institute, OHSU Center for Spatial Systems Biomedicine, Oregon Health and Science University, Portland, OR, USA.
Rebecca SmithEarly Cancer Institute, Department of Oncology, University of Cambridge, UK.
Kaylyn DevlinEarly Cancer Institute, Department of Oncology, University of Cambridge, UK.
Mark DaneEarly Cancer Institute, Department of Oncology, University of Cambridge, UK.
Daniel Muñoz-EspínEarly Cancer Institute, Department of Oncology, University of Cambridge, UK.ORCID 0000-0002-0550-9514
James E KorkolaDepartment of Biomedical Engineering, Knight Cancer Institute, OHSU Center for Spatial Systems Biomedicine, Oregon Health and Science University, Portland, OR, USA.ORCID 0000-0002-0030-6216

Funding

Targeting Senescence and the senescent secretome to impact breast cancer formationR21CA286419 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI KORKOLA, JAMES · 2024 to 2024
$396k
NCI NIH HHS R21 CA286419
6 · The paper itself

Abstract

Senescence and the senescence associated secretory phenotype (SASP) are implicated in promoting early tumorigenesis but due to the complexity of SASP it has been difficult to identify the responsible factors. We used canonical SASP factors on our microenvironment microarray (MEMA) platform to systematically identify SASP-associated drivers of tumorigenesis in breast and lung cancer cells. We found multiple SASP factors enhanced the proliferation and overall cell numbers for both lung and breast cells grown on the MEMA, and that there was significant overlap in SASP-associated growth-promoting factors between the two different cell types. We validated the ability of several factors, including IL-6, TGF-β and EGF, to drive growth in

Indexed as

Antitumor AssaysBreast CancerLung CancerMicroenvironment MicroarraySenescenceSenescence-Associated Secretory PhenotypeTumour MicroenvironmentXenograft Model

Identifiers

PMID41497628
PMCPMC12767529

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.