Evidence map›Paper›PMID 41163279›Full record

ReviewMini reviews in medicinal chemistry2026

Targeting Microbiome-Derived Exosomes to Overcome Cancer Therapy Resistance: Mechanisms, Implications, and Opportunities.

Vaibhav Singh, Ekta Shirbhate, Rakesh Kore, Ravichandran Veerasamy, Prabodh C Sharma, Amit K Tiwari, Harish Rajak

Abstract readReview
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In one paragraph

Review in Mini reviews in medicinal chemistry, 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

7 authors.

Vaibhav SinghDepartment of Pharmacy, Guru Ghasidas University, Bilaspur, 495 009, (C.G.), India.
Ekta ShirbhateDepartment of Pharmacy, Guru Ghasidas University, Bilaspur, 495 009, (C.G.), India.ORCID 0000-0001-8190-8106
Rakesh KoreDepartment of Pharmacy, Guru Ghasidas University, Bilaspur, 495 009, (C.G.), India.
Ravichandran VeerasamyFaculty of Pharmacy, AIMST University, Semeling, 08100, Bedong, Kedah Darul Aman, Malaysia.ORCID 0000-0001-9903-8890
Prabodh C SharmaDepartment of Pharmaceutical Chemistry, Delhi Pharmaceutical Sciences and Research University, MB Road, Push Vihar, New Delhi, 110 017, India.ORCID 0000-0003-1920-3855
Amit K TiwariUAMS College of Pharmacy, UAMS - University of Arkansas for Medical Sciences, Little Rock, (AR), USA.ORCID 0000-0002-0275-0724
Harish RajakDepartment of Pharmacy, Guru Ghasidas University, Bilaspur, 495 009, (C.G.), India.ORCID 0000-0003-2008-2827

Funding

Department of Science and Technology (DST), New Delhi IF210097ICMR, New Delhi 58/33/2020/PHA/BMS
6 · The paper itself

Abstract

Despite recent advances in both preclinical and clinical cancer therapies, the growing problem of treatment resistance remains one of the most critical challenges in oncology. To overcome the drawbacks of current oncologic treatments, there is a pressing need for new approaches and potential therapeutic strategies. The interaction between the host microbiome and cancer has recently attracted significant research. Among the various routes of microbiome-cancer interaction, microbiome-derived exosomes also offer an intriguing avenue. Exosomes, which are small extracellular vesicles, originate from several distinct types of cells, including microbiome-associated cells. These vesicles participate in intra- and intercellular communication as well as alteration of the tumour microenvironment. Emphasising their possible functions as treatment response modifiers and mediators, this review seeks to explain an intricate link between cancer therapy resistance and exosomes produced from the microbiome. Preclinical studies reveal that microbiome-derived exosomes operate through horizontal transfer of resistance-conferring enzymes and TLR4/MYD88-dependent signalling, demonstrating 2-5 fold upregulation of resistance-associated miRNAs in drug-resistant models. Clinical evidence shows

Indexed as

Antineoplastic AgentsDrug Resistance, NeoplasmExosomesMicrobiotaNeoplasmsAnimalsHumansTumor MicroenvironmentAntineoplastic AgentscancerexosomesFDA guidelines.Microbiometherapy resistancetumour microenvironment

Identifiers

What OpenQuestion holds

Textmetadata
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.