Evidence map›Paper›PMID 38108852›Full record

ReviewACS applied bio materials2024

Role of Exosomes in Epithelial-Mesenchymal Transition.

Bikramjit Bhattacharya, Sagnik Nag, Sayantanee Mukherjee, Mrunal Kulkarni, Priti Chandane, Debashmita Mandal, Nobendu Mukerjee, Divya Mirgh, Krishnan Anand, Manab Deb Adhikari and 2 more

Open access · hybridAbstract readReview
In one paragraph

Review in ACS applied bio materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
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

19 citing papers in PubMed, 33 citations in OpenAlex.

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  17. Application of exosomes in tumor immunity: recent progresses.Frontiers in cell and developmental biology · 2024
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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 at 11 institutions in 4 countries.

Bikramjit BhattacharyaDepartment of Applied Microbiology, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu 632014, India.
Sagnik NagDepartment of Bio-Sciences, School of Bio-Sciences & Technology, Vellore Institute of Technology (VIT), Tiruvalam Road, Vellore, Tamil Nadu 632014, India.ORCID 0000-0002-6814-5471
Sayantanee MukherjeeAmrita School of NanoSciences and Molecular Medicine, Amrita Institute of Medical Sciences, Kochi, Kerala 682041, India.
Mrunal KulkarniDepartment of Pharmacy, BITS Pilani, Pilani, Rajasthan 333031, India.
Priti ChandaneDepartment of Biochemistry, University of Hyderabad, Hyderabad, Telangana 500046, India.
Debashmita MandalDepartment of Biotechnology, Maulana Abul Kalam Azad University of Technology (MAKAUT), Haringhata, Nadia, West Bengal 741249, India.
Nobendu MukerjeeCenter for Global Health Research, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu 600077, India.
Divya MirghVaccine and Immunotherapy Canter, Massachusetts General Hospital, Boston, Massachusetts 02114, United States.
Krishnan AnandDepartment of Chemical Pathology, School of Pathology, Faculty of Health Sciences, University of the Free State, Bloemfontein 9300, South Africa.
Manab Deb AdhikariDepartment of Biotechnology, University of North Bengal Raja Rammohunpur, Darjeeling, West Bengal 734013, India.
Sukhamoy GoraiRush University Medical Center, 1620 W. Harrison St., Chicago, Illinois 60612, United States.ORCID 0000-0003-0115-3810
Nanasaheb ThoratLimerick Digital Cancer Research Centre and Department of Physics, Bernal Institute, University of Limerick, Limerick V94T9PX, Ireland.ORCID 0000-0001-6343-527X
Vellore Institute of Technology University · INAmrita Institute of Medical Sciences and Research Centre · INBirla Institute of Technology and Science, Pilani · INMassachusetts General Hospital · USMaulana Abul Kalam Azad University of Technology, West Bengal · INNorth Bengal University · INRush University Medical Center · USSaveetha University · INUniversity of Hyderabad · INUniversity of Limerick · IEUniversity of the Free State · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial-mesenchymal transition (EMT) is a fundamental process driving cancer metastasis, transforming non-motile cells into a motile population that migrates to distant organs and forms secondary tumors. In recent years, cancer research has revealed a strong connection between exosomes and the EMT. Exosomes, a subpopulation of extracellular vesicles, facilitate cellular communication and dynamically regulate various aspects of cancer metastasis, including immune cell suppression, extracellular matrix remodeling, metastasis initiation, EMT initiation, and organ-specific metastasis. Tumor-derived exosomes (TEXs) and their molecular cargo, comprising proteins, lipids, nucleic acids, and carbohydrates, are essential components that promote EMT in cancer. TEXs miRNAs play a crucial role in reprogramming the tumor microenvironment, while TEX surface integrins contribute to organ-specific metastasis. Exosome-based cancer metastasis research offers a deeper understanding about cancer and an effective theranostic platform development. Additionally, various therapeutic sources of exosomes are paving the way for innovative cancer treatment development. In this Review, we spotlight the role of exosomes in EMT and their theranostic impact, aiming to inspire cancer researchers worldwide to explore this fascinating field in more innovative ways.

Indexed as

ExosomesExtracellular VesiclesMicroRNAsNeoplasmsEpithelial-Mesenchymal TransitionHumansTumor MicroenvironmentMicroRNAsBiomarkersCancerEMTExosomeMetastasisTherapeutic

Identifiers

PMID38108852
PMCPMC10792609
OpenAlexW4389899812

What OpenQuestion 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 OpenQuestion graph.