Evidence map›Paper›PMID 41972720›Full record

ReviewCells2026

Diagnostic and Therapeutic Applications of Exosomes in Lung Cancer.

Disha Nagesh Moholkar, Raghuram Kandimalla, Margaret Wallen, Kavitha Yaddanapudi, Ramesh Gupta, Farrukh Aqil

Abstract readReview
In one paragraph

Review in Cells, 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

6 authors.

Disha Nagesh MoholkarBrown Cancer Center, University of Louisville, Louisville, KY 40202, USA.
Raghuram KandimallaBrown Cancer Center, University of Louisville, Louisville, KY 40202, USA.ORCID 0000-0002-9202-4071
Margaret WallenSchool of Natural Sciences, Department of Biology, Indiana University Southeast, New Albany, IN 47150, USA.
Kavitha YaddanapudiBrown Cancer Center, University of Louisville, Louisville, KY 40202, USA.ORCID 0000-0003-1186-4587
Ramesh GuptaBrown Cancer Center, University of Louisville, Louisville, KY 40202, USA.
Farrukh AqilBrown Cancer Center, University of Louisville, Louisville, KY 40202, USA.ORCID 0000-0002-0081-7251

Funding

The role of ECM-mediated mechanosignaling on regional immunosuppression in GBMP20GM135004 · NIGMS · UNIVERSITY OF LOUISVILLE · PI JUN YAN · 2020 to 2026
$21.1M
NIGMS NIH HHS P20 GM135004NIH CCII COBRE grant P20GM135004
6 · The paper itself

Abstract

Lung cancer remains one of the leading causes of cancer-related mortality worldwide, with a five-year survival rate of only 26%, primarily due to late-stage diagnosis and limited treatment options. Exosomes, nanosized extracellular vesicles released by nearly all cell types, have emerged as promising tools in both diagnostics and therapeutics. Their unique composition containing proteins, lipids, and nucleic acids reflects the molecular profile of their cell of origin, making them excellent candidates for non-invasive early detection biomarkers. For therapeutic applications, exosomes offer biocompatible, low-immunogenicity platforms capable of delivering diverse therapeutic agents, including small molecules, siRNAs, and antimetabolites, directly to tumor cells while minimizing systemic toxicity. Functionalization strategies, such as folic acid tagging, have further enhanced tumor specificity, especially in cancers with high folate receptors. However, clinical translation is hindered by challenges including lack of standardized isolation and characterization methods, high production costs, and regulatory uncertainties. Despite these limitations, ongoing research continues to optimize exosome production, targeting, and integration with conventional therapies. Milk- and colostrum-derived exosomes have shown promising potential due to their abundance, scalability, oral bioavailability, and safety. Collectively, exosomes represent a transformative approach in lung cancer management, with the potential to improve early diagnosis, enhance therapeutic efficacy, and reduce adverse effects, thereby offering a path toward more personalized and effective cancer care.

Indexed as

ExosomesLung NeoplasmsAnimalsBiomarkers, TumorHumansBiomarkers, Tumorclinical applicationsdiagnosticsexosomeslung cancertargeted therapy

Identifiers

PMID41972720
PMCPMC13072278

What OpenQuestion holds

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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 OpenQuestion graph.