Evidence map›Paper›PMID 32191317›Full record

ArticleJournal of the National Cancer Institute2020

Threshold Change in CEA as a Predictor of Non-Progression to First-Line Systemic Therapy in Metastatic Colorectal Cancer Patients With Elevated CEA.

Pat Gulhati, Jun Yin, Levi Pederson, Hans-Joachim Schmoll, Paulo Hoff, Jean-Yves Douillard, J Randolph Hecht, Christophe Tournigand, Niall Tebbut, Benoist Chibaudel and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 32 citations in OpenAlex.

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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

13 authors at 9 institutions in 4 countries.

Pat GulhatiDepartment of Medical Oncology, Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Jun YinDepartment of Health Science Research, Mayo Clinic, Rochester, MN, USA.
Levi PedersonDepartment of Health Science Research, Mayo Clinic, Rochester, MN, USA.
Hans-Joachim SchmollKlinik fur Innere Med IV, University Clinic Halle, Halle, Germany.
Paulo HoffCentro de Oncologia de Brasilia do Sirio Libanes-Unidade Lago Sul, Sao Paulo, Brazil.
Jean-Yves DouillardIntegrated Centres for Oncology, Department of Medical Oncology, St-Herblain, France.
J Randolph HechtDavid Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Christophe TournigandHospital Henri Mondor, Paris, France.
Niall TebbutDepartment of Oncology, Olivia Newton John Cancer Research Institute, Heidelberg, VIC, Australia.
Benoist ChibaudelFranco-British Institute, Levallois-Peret, France.
Aimery De GramontHospital Saint-Antoine, Paris, France.
Qian ShiDepartment of Health Science Research, Mayo Clinic, Rochester, MN, USA.
Michael James OvermanDivision of Cancer Medicine, Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Mayo Clinic in Florida · USHôpitaux Universitaires Henri-Mondor · FRInstitut Hospitalier Franco Britannique · FROlivia Newton-John Cancer Wellness & Research Centre · AURutgers, The State University of New Jersey · USSorbonne Université · FRThe University of Texas MD Anderson Cancer Center · USUniversity Hospital in Halle · DEUniversity of California, Los Angeles · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundCarcinoembryonic antigen (CEA) levels are used in conjunction with imaging to monitor response to systemic therapy in metastatic colorectal cancer (mCRC). We sought to identify a threshold for CEA change from baseline to predict progressive disease (PD) in mCRC patients receiving first-line therapy.

methodsPatients from trials collected in the ARCAD database were included if baseline CEA was at least 10 ng/mL and repeat CEA was available within 14 days of first restaging scan. Optimal cutoffs for CEA change were identified by receiver operating characteristic analysis. Prediction performance of cutoffs was evaluated by sensitivity, specificity, and negative predictive value. Analyses were conducted by treatment class: chemotherapy alone, chemotherapy with anti-VEGF antibody, and chemotherapy with anti-EGFR antibody.

resultsA total of 2643 mCRC patients treated with systemic therapy were included. Median percent change of CEA from baseline to first restaging for patients with complete response, partial response, or stable disease (non-PD) and PD was -53.1% and +23.6% for chemotherapy alone (n = 957) and -71.7% and -45.3% for chemotherapy with anti-VEGF antibody (n = 1355). The optimal area under the curve cutoff for differentiating PD from non-PD on first restaging was -7.5% for chemotherapy alone and -62.0% for chemotherapy with anti-VEGF antibody; chemotherapy alone, adjusted odds ratio = 6.51 (95% CI = 3.31 to 12.83, P < .001), chemotherapy with anti-VEGF antibody, adjusted odds ratio = 3.45 (95% CI = 1.93 to 6.18, P < .001). A 99% negative predictive value clinical cutoff for prediction of non-PD would avoid CT scan at first restaging in 21.0% of chemotherapy alone and 16.2% of chemotherapy with anti-VEGF antibody-treated patients. Among patients with stable disease on first restaging, those with decreased CEA from baseline had statistically significantly improved progression-free and overall survival.

conclusionsChange in CEA from baseline to first restaging can accurately predict non-progression and correlates with long-term outcomes in patients receiving systemic chemotherapy.

Indexed as

AdultAgedAged, 80 and overCarcinoembryonic AntigenColorectal NeoplasmsDisease ProgressionFemaleHumansMaleMiddle AgedNeoplasm MetastasisNeoplasm StagingPredictive Value of TestsRandomized Controlled Trials as TopicROC CurveCarcinoembryonic Antigen

Identifiers

PMID32191317
PMCPMC7669230
OpenAlexW3010881374

What OpenQuestion holds

Textmetadata
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.