An Integrated Graphene‐MXene Electrochemical Transistor Array Platform for Accurate Prostate Cancer Diagnosis Using Plasma sEV‐Derived E2F5 Biomarker

exosomes/ml) and detection time within 30 min. Further, dielectrophoresis (DEP) enabled in situ exosome enrichment is integrated, enabling direct analysis of clinical samples without ultracentrifugation. Most importantly, the efficacy of E2F5 as an exosomal protein has been validated for accurate PC diagnosis in all patient cohorts. Multiple features have been extracted from the sensor response and analyzed using an ensemble classification method. Interestingly, the outcomes reveal that the sensor successfully distinguished BPH from HCs with appreciable accuracy of 91.11% and shows similar diagnostic performance with lower grade PC, higher grade PC, and healthy patients.

Authors

Institutions

Publication Details

Journal
Small
Published
2026-04-30
DOI
https://doi.org/10.1002/smll.73543
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Integrated Graphene‐MXene Electrochemical Transistor Array Platform for Accurate Prostate Cancer Diagnosis Using Plasma sEV‐Derived E2F5 Biomarker

C. RoyChaudhuri, Pritam Das, Sriparna Chatterjee, Nahid Sultana et al.
Small
Extracellular vesicles in disease
article

An Integrated Graphene‐MXene Electrochemical Transistor Array Platform for Accurate Prostate Cancer Diagnosis Using Plasma sEV‐Derived E2F5 Biomarker

C. RoyChaudhuri, Pritam Das, Sriparna Chatterjee, Nahid Sultana, Laxmidhar Besra, Sanghamitra Sengupta, Debasree Bishnu, Debansu Sarkar, Ghrutanjali Sahu, Pooja Sharma, Piyali Mukherjee, Isha Goyal
article en

Abstract

exosomes/ml) and detection time within 30 min. Further, dielectrophoresis (DEP) enabled in situ exosome enrichment is integrated, enabling direct analysis of clinical samples without ultracentrifugation. Most importantly, the efficacy of E2F5 as an exosomal protein has been validated for accurate PC diagnosis in all patient cohorts. Multiple features have been extracted from the sensor response and analyzed using an ensemble classification method. Interestingly, the outcomes reveal that the sensor successfully distinguished BPH from HCs with appreciable accuracy of 91.11% and shows similar diagnostic performance with lower grade PC, higher grade PC, and healthy patients.

Small
University of Calcutta (IN), Kookmin University (KR), Central Scientific Instruments Organisation (IN), Institute of Post Graduate Medical Education and Research (IN), Institute of Minerals and Materials Technology (IN), Usha Martin (India) (IN), Indian Institute of Engineering Science and Technology, Shibpur (IN), Academy of Scientific and Innovative Research (IN)
Council of Scientific and Industrial Research, India
Good health and well-being
Openalex Percentile: Top 15%
Extracellular vesicles in disease
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.