Evidence map›Paper›PMID 32967918›Full record

ArticleESMO open2020

Detection of postoperative plasma circulating tumour DNA and lack of CDX2 expression as markers of recurrence in patients with localised colon cancer.

Noelia Tarazona, Francisco Gimeno-Valiente, Valentina Gambardella, Marisol Huerta, Susana Roselló, Sheila Zuniga, Alexandre Calon, Juan Antonio Carbonell-Asins, Elisa Fontana, Carolina Martinez-Ciarpaglini and 11 more

Open access · goldAbstract read
In one paragraph

Article in ESMO open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

29 citing papers in PubMed, 39 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

21 authors at 4 institutions in 2 countries.

Noelia TarazonaDepartment of Medical Oncology, Biomedical Research Institute INCLIVA, CIBERONC, University of Valencia, Valencia, Spain.
Francisco Gimeno-ValienteDepartment of Medical Oncology, Biomedical Research Institute INCLIVA, University of Valencia, Valencia, Spain.
Valentina GambardellaDepartment of Medical Oncology, Biomedical Research Institute INCLIVA, CIBERONC, University of Valencia, Valencia, Spain.
Marisol HuertaDepartment of Medical Oncology, Biomedical Research Institute INCLIVA, University of Valencia, Valencia, Spain.
Susana RosellóDepartment of Medical Oncology, Biomedical Research Institute INCLIVA, CIBERONC, University of Valencia, Valencia, Spain.
Sheila ZunigaPrecision Medicine, INCLIVA Heatl, Valencia, Spain.
Alexandre CalonCancer Research Programme, Hospital del Mar Research Institute (IMIM), Barcelona, Catalunya, Spain.
Juan Antonio Carbonell-AsinsBioinformatics and Biostatistics Unit, INCLIVA Biomedical Research Institute, Valencia, Spain.
Elisa FontanaDivision of Molecular Pathology, Institute of cancer Research, London, UK.
Carolina Martinez-CiarpagliniDepartment of Pathology, Biomedical Research Institute INCLIVA, CIBERONC, University of Valencia, Valencia, Spain.
Katherine EasonDivision of Molecular Pathology, Institute of cancer Research, London, UK.
Pilar Rentero-GarridoPrecision Medicine, INCLIVA Heatl, Valencia, Spain.
Tania FleitasDepartment of Medical Oncology, Biomedical Research Institute INCLIVA, CIBERONC, University of Valencia, Valencia, Spain.
Federica PapaccioDepartment of Medical Oncology, Biomedical Research Institute INCLIVA, University of Valencia, Valencia, Spain.
David Moro-ValdezateDepartment of Surgery, Biomedical Research Institute INCLIVA, University of Valencia, Valencia, Spain.
Gift NyamundandaDivision of Molecular Pathology, Institute of cancer Research, London, UK.
Josefa CastilloDepartment of Medical Oncology, Biomedical Research Institute INCLIVA, CIBERONC, University of Valencia, Valencia, Spain.
Alejandro EspíDepartment of Surgery, Biomedical Research Institute INCLIVA, University of Valencia, Valencia, Spain.
Anguraj SadanandamDivision of Molecular Pathology, Institute of cancer Research, London, UK.
Desamparados RodaDepartment of Medical Oncology, Biomedical Research Institute INCLIVA, CIBERONC, University of Valencia, Valencia, Spain.
Andrés CervantesDepartment of Medical Oncology, Biomedical Research Institute INCLIVA, CIBERONC, University of Valencia, Valencia, Spain. Electronic address: andres.cervantes@uv.es.
Universitat de València · ESInstitute of Cancer Research · GBINCLIVA Health Research Institute · ESHospital Del Mar · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColon cancer (CC) is a heterogeneous disease. Novel prognostic factors beyond pathological staging are required to accurately identify patients at higher risk of relapse. Integrating these new biological factors, such as plasma circulating tumour DNA (ctDNA), CDX2 staining, inflammation-associated cytokines and transcriptomic consensus molecular subtypes (CMS) classification, into a multimodal approach may improve our accuracy in determining risk of recurrence.

methodsOne hundred and fifty patients consecutively diagnosed with localised CC were prospectively enrolled in our study. ctDNA was tracked to detect minimal residual disease by droplet digital PCR. CDX2 expression was analysed by immunostaining. Plasma levels of cytokines potentially involved in disease progression were measured using ELISAs. A 96 custom gene panel for nCounter assay was used to classify CC into colorectal cancer assigner and CMS.

resultsMost patients were classified into CMS4 (37%) and CMS2 (28%), followed by CMS1 (20%) and CMS3 (15%) groups. CDX2-negative tumours were enriched in CMS1 and CMS4 subtypes. In univariable analysis, prognosis was influenced by primary tumour location, stage, vascular and perineural invasion together with high interleukin-6 plasma levels at baseline, tumours belonging to CMS 1 vs CMS2 +CMS3, ctDNA presence in plasma and CDX2 loss. However, only positive ctDNA in plasma samples (HR 13.64; p=0.002) and lack of CDX2 expression (HR 23.12; p=0.001) were found to be independent prognostic factors for disease-free survival in the multivariable model.

conclusionsctDNA detection after surgery and lack of CDX2 expression identified patients at very high risk of recurrence in localised CC.

Indexed as

Circulating Tumor DNAColonic NeoplasmsBiomarkers, TumorCDX2 Transcription FactorHumansNeoplasm Recurrence, LocalPrognosisBiomarkers, TumorCDX2 protein, humanCDX2 Transcription FactorCirculating Tumor DNACDX2 homeoproteincolon cancerconsensus molecular subtypesinterleukin-6plasma circulating-tumor DNA

Identifiers

PMID32967918
PMCPMC7513635
OpenAlexW3088784856

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.