Evidence map›Paper›PMID 42150147›Full record

ArticleJCO precision oncology2026

EXONERATE-TRaCE: A Liquid Biopsy for Tracking Response to Anti-Epidermal Growth Factor Receptor-Based Therapy in Metastatic Colorectal Cancer.

Toshiaki Takahashi, Alessandro Mannucci, Kunitoshi Shigeyasu, Scott Kopetz, Marwan Fakih, Joan Maurel, Toshiyoshi Fujiwara, Ajay Goel

Registry-linked trialAbstract read
In one paragraph

Article in JCO precision oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07700992 (An Exosome-based and Machine-learning-powered Liquid Biopsy for Pancreatic Cancer Early-detection and Disease Monitoring), which is not on this map. Not yet cited in PubMed.

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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.

NCT07700992 recruitingnot on this map

An Exosome-based and Machine-learning-powered Liquid Biopsy for Pancreatic Cancer Early-detection and Disease Monitoring

TypeobservationalSponsorUniversità Vita-Salute San RaffaeleRan2026 to 2032Enrolled600ConditionsFamilial Pancreatic Cancer, Familial Pancreatic Carcinoma, Hereditary Pancreatic Cancer, Hereditary PancreatitisArmsPANXEON
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

8 authors.

Toshiaki TakahashiDepartment of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Biomedical Research Center, Monrovia, CA.ORCID 0009-0003-5903-5718
Alessandro MannucciDepartment of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Biomedical Research Center, Monrovia, CA.ORCID 0000-0002-1655-6762
Kunitoshi ShigeyasuDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.ORCID 0000-0002-1266-2875
Scott KopetzThe University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0001-9647-3416
Marwan FakihCity of Hope Medical Center, Duarte, CA.ORCID 0000-0002-6554-5488
Joan MaurelDepartment of Medical Oncology, Hospital Clinic of Barcelona, Translational Genomics and Targeted Therapeutics in Solid Tumors Group, IDIBAPS, University of Barcelona, Barcelona, Spain.ORCID 0000-0002-9413-5592
Toshiyoshi FujiwaraDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.ORCID 0000-0002-5377-6051
Ajay GoelDepartment of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Biomedical Research Center, Monrovia, CA.ORCID 0000-0003-1396-6341

Funding

Noncoding RNA Biomarkers for Noninvasive and Early Detection of Pancreatic CancerU01CA214254 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI Ajay Goel, DANIEL D VON HOFF · 2017 to 2026
$8.9M
Exosomal biomarkers for the early detection of hepatocellular carcinomaR01CA271443 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI Ajay Goel · 2023 to 2026
$2.9M
Aspirin and Cancer Prevention in Lynch Syndrome: From Cell to Population DataU01CA187956 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY, WODARZ, DOMINIK F · 2014 to 2018
$2.7M
Exosomal Biomarkers for the Noninvasive Detection of Colorectal CancerR01CA227602 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY · 2019 to 2023
$2.5M
METHYLATION BIOMARKER DEVELOPMENT FOR NONINVASIVE DETECTION OF COLORECTAL CANCERR01CA181572 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY · 2014 to 2018
$1.6M
5mC and 5hmC DNA alterations as sensitive and specific biomarkers for the non-invasive early detection of pancreatic ductal adenocarcinomaU01CA296639 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI Ajay Goel · 2025 to 2026
$1.4M
NCI NIH HHS R01 CA181572NCI NIH HHS R01 CA227602NCI NIH HHS R01 CA271443NCI NIH HHS U01 CA187956NCI NIH HHS U01 CA214254NCI NIH HHS U01 CA296639
6 · The paper itself

Abstract

purposeThe EXOsome and cell-free microRNAs (miRNAs) of anti-epidermal growth factor receptor (EGFR) Resistance (EXONERATE) study previously developed and validated a liquid biopsy to predict the efficacy of first-line anti-EGFR therapy in metastatic colorectal cancer (mCRC) from treatment-naïve blood samples. This study evaluates the performance of the EXONERATE assay during therapy as a tool for monitoring the emergence of anti-EGFR resistance before it becomes clinically or radiologically apparent.

methodsRetrospective, single-center, longitudinal, REMARK-compliant biomarker study assessing the ability of a liquid biopsy to predict response to anti-EGFR monoclonal antibodies and to track resistance development longitudinally. Fifty-two patients with RAS wild-type mCRC provided 142 plasma samples during administration of first-line anti-EGFR-based therapy.

resultsBaseline EXONERATE scores predicted response with 83.3% specificity and 77.3% sensitivity (area under the receiver operating characteristic curve [AUROC] = 89.4%). Longitudinal analyses demonstrated that biomarker changes closely tracked tumor burden and anticipated clinical and radiological progression, outperforming conventional tumor markers CEA and CA19-9. Stepwise optimization produced a reduced panel (four cell-free-miRNAs and five exo-miRNAs), EXONERATE-Tracking Response and Clinical Evolution (TRaCE), which retained high predictive accuracy (AUROC = 94.4%) while enabling more practical, repeated monitoring. EXONERATE-TRaCE values increased during the 3 months preceding the first clinical or radiological evidence of progression and reliably detected early progression in both left- and right-sided tumors, including patients with lung metastases, and identified resistance up to 3 months before radiological confirmation.

conclusionEXONERATE-TRaCE extends the predictive utility of the original EXONERATE assay into a practical monitoring tool. This liquid biopsy detects emerging anti-EGFR resistance earlier than conventional markers and may inform treatment monitoring and support timely clinical decision making in mCRC.

Indexed as

Colorectal NeoplasmsAgedBiomarkers, TumorDrug Resistance, NeoplasmErbB ReceptorsFemaleHumansLiquid BiopsyLongitudinal StudiesMaleMiddle AgedNeoplasm MetastasisRetrospective StudiesBiomarkers, TumorEGFR protein, humanErbB Receptors

Identifiers

PMID42150147
PMCPMC13390557

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Registered trials

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.