Evidence map›Paper›PMID 40837698›Full record

ReviewInternational journal of nanomedicine2025

Nanotechnology-Enhanced Extracellular Vesicles -Based Chipsets in Early Cancer Detection and Theranostics.

Swastika Maitra, Subham Sarkar, Muktesh Chandra, Suhas Ballal, Rishiv Kalia, Renu Arya, Magdi E A Zaki, Daniel Ejim Uti

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
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

8 authors.

Swastika MaitraCentre for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, 600077, India.
Subham SarkarDepartment of Biotechnology, St. Xavier's College (Autonomous), Kolkata, 700016, India.
Muktesh ChandraMarwadi University Research Center, Department of Bioinformatics, Faculty of Engineering and Technology, Marwadi University, Rajkot, Gujarat, 360003, India.
Suhas BallalDepartment of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to Be University), Bangalore, Karnataka, India.
Rishiv KaliaCentre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140401, India.
Renu AryaDepartment of Pharmacy, Chandigarh Pharmacy College, Chandigarh Group of Colleges-Jhanjeri, Mohali, Punjab, 140307, India.
Magdi E A ZakiChemistry Department, College of Science, Imam Mohammad ibn Saud Islamic University (IMSIU), Riyadh, Kingdom of Saudi Arabia.ORCID 0000-0002-5643-9202
Daniel Ejim UtiDepartment of Biochemistry/Research and Publications, Kampala International University, Kampala, Uganda.ORCID 0000-0002-1129-1785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanotechnology has revolutionized cancer diagnostics, particularly through exosome-based chipsets that offer early, non-invasive, and highly sensitive detection. These nanoscale platforms isolate and analyze extracellular vesicles (exosomes) carrying molecular signatures from cancer cells. Microfluidic and material science innovations enable detection from body fluids with high specificity, surpassing conventional diagnostic tools. Engineered exosomes also offer therapeutic potential, especially in targeting metastasis. This review explores exosome formation, roles in cancer, and the latest advancements in chipset technology, emphasizing their diagnostic and therapeutic potential. Despite challenges in standardization and clinical integration, ongoing research and trials indicate a transformative shift in cancer care driven by exosome-based technologies. Special emphasis is placed on chip-integrated nanotechnologies developed for exosome isolation and analysis, detailing recent innovations, device specifications, and diagnostic potential. The review aims to bridge the gap between fundamental exosome biology and the translational relevance of chip-based platforms in clinical cancer diagnostics.

Indexed as

Early Detection of CancerExtracellular VesiclesNanotechnologyNeoplasmsTheranostic NanomedicineAnimalsExosomesHumansbiomarkerscancer detectionexosomesmicrofluidicsnanotechnology

Identifiers

PMID40837698
PMCPMC12361355

What OpenQuestion holds

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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.