Evidence map›Paper›PMID 40361334›Full record

ArticleCancers2025

Roles of Annexin A1 Expression in Small Cell Lung Cancer.

Ágnes Paál, David Dora, Ákos Takács, Christopher Rivard, Shivaun Lueke Pickard, Fred R Hirsch, Brigitta Roskó, Peter Kiraly, Péter Ferdinandy, Zoltán V Varga and 2 more

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Ágnes PaálDepartment of Pharmacology and Pharmacotherapy, Semmelweis University, 1085 Budapest, Hungary.
David DoraDepartment of Anatomy, Histology and Embryology, Semmelweis University, 1085 Budapest, Hungary.
Ákos TakácsDepartment of Pharmacology and Pharmacotherapy, Semmelweis University, 1085 Budapest, Hungary.
Christopher RivardDivision of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
Shivaun Lueke PickardDivision of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
Fred R HirschDivision of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
Brigitta RoskóDepartment of Anatomy, Histology and Embryology, Semmelweis University, 1085 Budapest, Hungary.ORCID 0009-0005-3984-4192
Peter KiralyTranslational Medicine Institute, Semmelweis University, 1085 Budapest, Hungary.
Péter FerdinandyDepartment of Pharmacology and Pharmacotherapy, Semmelweis University, 1085 Budapest, Hungary.
Zoltán V VargaDepartment of Pharmacology and Pharmacotherapy, Semmelweis University, 1085 Budapest, Hungary.ORCID 0000-0002-2758-0784
Zoltan LohinaiTranslational Medicine Institute, Semmelweis University, 1085 Budapest, Hungary.
Anikó GörbeDepartment of Pharmacology and Pharmacotherapy, Semmelweis University, 1085 Budapest, Hungary.

Funding

European Union's Horizon 2020 research and innovation programme 739593Ministry of Innovation and Technology of Hungary 2022-1.1.1-KK-2022-00005Ministry of Innovation and Technology of Hungary TKP2021-EGA-23National Cardiovascular Laboratory RRF-2.3.1-21-2022-00003National Research, Development and Innovation Fund 2019-1.1.1-PIACI-KFI-2019-00367National Research, Development and Innovation Office FK134751National Research, Development and Innovation Office FK146775National Research, Development and Innovation Office K139237National Research, Development and Innovation Office PD142287
6 · The paper itself

Abstract

BACKGROUND/

objectivesSmall cell lung cancer (SCLC) is one of the malignancies with the worst prognosis, and there have been no major breakthroughs in its treatment for a long time. The majority of patients are diagnosed at the extensive stage, where the only option is chemotherapy, and even the addition of immune checkpoint inhibitors results in only modest benefits. The characterization of the molecular mechanisms behind therapy resistance has relevance in finding novel therapeutic approaches. Previous studies showed the possibility of annexin A1's (ANXA1) involvement in the immunosuppressive tumor microenvironment in SCLC, and there are studies showing the direct effects of ANXA1 modulation on cancer cell aggressiveness.

methodsWe aimed to characterize the roles of ANXA1 expression using publicly available transcriptomic data, the RNA-seq-based predictive algorithms EPIC and ESTIMATE, and immunohistochemistry on patient samples. For the in vitro studies, we silenced ANXA1 expression with short hairpin RNA in three SCLC cell lines, measured the growth rate with the trypan blue exclusion assay, assessed the chemosensitivity to cisplatin and etoposide with the Presto Blue

resultsANXA1-high tumors are associated with significantly increased immune infiltrates, stromality, and tumor-associated macrophages (TAMs). The ANXA1 protein is expressed on tumor cells and TAMs at the tissue level. ANXA1 silencing in H841 cells did not affect the growth rate; in SW1271 cells, shANXA1 cells grew significantly slower than shCTRL cells. Meanwhile, in H1048 cells, proliferation was significantly faster. Despite the different growth rates of the tested cell lines, ANXA1 silencing decreased the chemosensitivity to both cisplatin and etoposide in all three cell lines. Gene expression changes in mesenchymal markers, metabolic markers, dominant transcriptional drivers, and immune-relevant molecules were also characterized.

conclusionsThis is the first comprehensive characterization of ANXA1 in SCLC to reveal its role in the tumor's cell biology and the TME, aiming to boost further research in the field.

Indexed as

annexin A1short hairpin RNAsmall cell lung cancertumor microenvironment

Identifiers

PMID40361334
PMCPMC12070913

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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.