Evidence map›Paper›PMID 41392743›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Integrated Multi-Channel Automatic Cellular Profiling (iMAP) System for Cholangiocarcinoma Diagnosis.

Moonhyun Choi, Mi Ho Jeong, Taehwang Son, Tae Joon Kwak, Jung Hyun Jo, Ji Hae Nahm, Ralph Weissleder, Sung Ill Jang, Hyungsoon Im

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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

9 authors.

Moonhyun ChoiCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.ORCID 0000-0001-9131-5507
Mi Ho JeongCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.ORCID 0000-0003-4626-6317
Taehwang SonCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.ORCID 0000-0003-3783-4714
Tae Joon KwakCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Jung Hyun JoCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.ORCID 0000-0002-2641-8873
Ji Hae NahmDepartment of Pathology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.ORCID 0000-0003-0902-866X
Ralph WeisslederCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.ORCID 0000-0003-0828-4143
Sung Ill JangDepartment of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.ORCID 0000-0003-4937-6167
Hyungsoon ImCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.ORCID 0000-0002-0626-1346

Funding

Training Grant in Molecular Imaging Research (MGH/HMS)T32CA079443 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2000 to 2025
$10.1M
Development of plasmon-enhanced biosensing for multiplexed profiling of extracellular vesiclesR01GM138778 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI IM, HYUNGSOON · 2020 to 2024
$2.3M
Nano-CRISPR extracellular vesicle sensing system for longitudinal tumor monitoringR33CA281794 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Hyungsoon Im · 2024 to 2026
$1.2M
Bio & Medical Technology Development Program RS-2024-00411768Human Frontier Science Program RGY0068/2020Korea Health Industry Development Institute HI22C1934Korea Institute for Advancement of Technology HI22C1934Korea Institute for Advancement of Technology P0017304National Research Foundation of Korea RS-2023-00253281National Research Foundation of Korea RS-2024-00335625NCI NIH HHS R33 CA281794NCI NIH HHS R33CA281794NCI NIH HHS T32 CA079443NCI NIH HHS T32CA079443NIGMS NIH HHS R01 GM138778NIGMS NIH HHS R01GM138778
6 · The paper itself

Abstract

Cholangiocarcinoma (CCA) is a highly lethal malignant tumor with a five-year survival rate below 10%. Clinical challenges include the absence of effective screening tools, the gradual progression until symptoms manifest, and the low diagnostic accuracy of CCA tissue due to the paucicellular nature of specimens obtained during an intervention. To address these challenges, an integrated multi-channel automatic cellular profiling (iMAP) system is developed for robust analysis of endoscopically obtained biliary specimens. Brushing cytology samples are introduced into a microfluidic chip to enrich and capture suspicious epithelial cells while eliminating blood and fibrotic cells. The captured cells are subsequently immunostained with fluorescent antibodies for further molecular analysis. The entire process, from sample loading to diagnosis, is fully automated and completed within 30 min. After validating the system with in vitro cell lines, iMAP is applied to analyze clinical brush specimens. In a pilot clinical study with 56 patient samples, good clinical diagnostic accuracy (AUC = 0.85) is demonstrated for CCA using a four-marker combination (MUC1, EpCAM, EGFR, and MARS1). The fully automated iMAP can serve as a complementary technology to the existing clinical cytopathology workflow, thereby minimizing sample loss and enhancing diagnostic accuracy through multiplexing.

Indexed as

Bile Duct NeoplasmsCholangiocarcinomaCytodiagnosisMolecular Diagnostic Techniques3T3 CellsAgedAged, 80 and overAnimalsBiomarkers, TumorFemaleHumansJurkat CellsLab-On-A-Chip DevicesMaleMethionine-tRNA LigaseMiceBiomarkers, TumorMARS1 protein, humanMethionine-tRNA Ligaseautomated systembiomarkersbrush cytologycancercholangiocarcinomadiagnosis

Identifiers

PMID41392743
PMCPMC12747514

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Registered trials

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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.