Evidence map›Paper›PMID 41299109›Full record

ArticleDiscover oncology2025

Peptide antibody tools to dissect specific functions of eIF4A paralogs in cancer.

Shobhit Srivastava, Azeezat Osikoya, David Terrero, Dayanidhi Raman

Abstract read
In one paragraph

Article in Discover oncology, 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

4 authors.

Shobhit SrivastavaDepartment of Cell and Cancer Biology, College of Medicine and Life Sciences, University of Toledo Health Science Campus, 3000 Arlington Avenue, MS 1010, Toledo, OH, 43614, USA.
Azeezat OsikoyaDepartment of Cell and Cancer Biology, College of Medicine and Life Sciences, University of Toledo Health Science Campus, 3000 Arlington Avenue, MS 1010, Toledo, OH, 43614, USA.
David TerreroDepartment of Cell and Cancer Biology, College of Medicine and Life Sciences, University of Toledo Health Science Campus, 3000 Arlington Avenue, MS 1010, Toledo, OH, 43614, USA.
Dayanidhi RamanDepartment of Cell and Cancer Biology, College of Medicine and Life Sciences, University of Toledo Health Science Campus, 3000 Arlington Avenue, MS 1010, Toledo, OH, 43614, USA. dayanidhi.raman@utoledo.edu.

Funding

Targeting eIF4A1 in drug-resistant breast cancer stem-like cellsR01CA258682 · NCI · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI RAMAN, DAYANIDHI · 2022 to 2025
$2.5M
Targeting of eIF4A along with immunotherapy to overcome chemoresistanceR21CA256462 · NCI · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI RAMAN, DAYANIDHI · 2022 to 2023
$394k
National Cancer Institute/National Institute of Health R211CA256462NCI NIH HHS R01 CA258682NCI NIH HHS R21 CA256462The University of Toledo startup funds F110796
6 · The paper itself

Abstract

Eukaryotic translation initiation factors (eIFs) are key regulators of messenger RNA (mRNA) translation, a process highly dysregulated in cancer. Among these paralogs, eIF4A1 and eIF4A2 are closely related DEAD box mRNA helicases that, despite their high sequence identity, play distinct roles in cellular homeostasis and tumorigenesis. In the context of triple-negative breast cancer (TNBC), where dysregulated protein translation drives tumor progression and metastasis, high rate of relapse, and resistance to radio- and chemotherapy, an understanding of the unique contributions of eukaryotic initiation factor 4 A (eIF4A) paralogs is important. Current commercial antibodies are not validated to claim the specificity towards these helicases. To address this, we developed and validated paralog-specific antibodies to unequivocally detect eIF4A1 and eIF4A2 by leveraging unique sequence differences in their N-terminal regions. Using affinity-purified, rabbit peptide-antibody generation followed by validation through immunoblot analyses of knockout and knockdown cellular lysates, we confirmed the high specificity of the antibodies and the absence of any cross-reactivity. These results establish that these antibodies are invaluable tools for dissecting the distinct roles of eIF4A1 and eIF4A2 in translational control and potential therapeutic strategies targeting these factors to overcome chemoresistance, primary tumor progression, and metastasis. This study provides a foundation for future investigations into the functional divergence of eIF4A paralogs, their functional ramifications in cancer, and their implications in tumor progression and metastasis.

Indexed as

eIF4A1eIF4A2mRNA translationSpecific peptide antibodyTriple-negative breast cancer

Identifiers

PMID41299109
PMCPMC12748412

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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.