Evidence map›Paper›PMID 25788273›Full record

ArticleOncotarget2015

Nuclear DICKKOPF-1 as a biomarker of chemoresistance and poor clinical outcome in colorectal cancer.

Óscar Aguilera, José Manuel González-Sancho, Sandra Zazo, Raúl Rincón, Agustín F Fernández, Olga Tapia, Francesc Canals, Beatriz Morte, Vincenzo Calvanese, José L Orgaz and 14 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
4.2field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 43 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

24 authors at 11 institutions in 3 countries.

Óscar AguileraInstituto de Investigaciones Biomédicas "Alberto Sols", Consejo Superior de Investigaciones Científicas (CSIC), Universidad Autónoma de Madrid, Madrid, Spain.
José Manuel González-SanchoInstituto de Investigaciones Biomédicas "Alberto Sols", Consejo Superior de Investigaciones Científicas (CSIC), Universidad Autónoma de Madrid, Madrid, Spain.
Sandra ZazoInstituto de Investigación Sanitaria-Fundación Jiménez Díaz, Madrid, Spain.
Raúl RincónInstituto de Investigación Sanitaria-Fundación Jiménez Díaz, Madrid, Spain.
Agustín F FernándezCancer Epigenetics Laboratory, Instituto Universitario de Oncología del Principado de Asturias (IUOPA-HUCA), Universidad de Oviedo, Oviedo, Spain.
Olga TapiaDepartamento de Anatomía y Biología Celular, Universidad de Cantabria-IFIMAV, Santander, Spain.
Francesc CanalsProteomics Laboratory, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain.
Beatriz MorteInstituto de Investigaciones Biomédicas "Alberto Sols", Consejo Superior de Investigaciones Científicas (CSIC), Universidad Autónoma de Madrid, Madrid, Spain.
Vincenzo CalvaneseCancer Epigenetics Laboratory, Instituto Universitario de Oncología del Principado de Asturias (IUOPA-HUCA), Universidad de Oviedo, Oviedo, Spain.
José L OrgazInstituto de Investigaciones Biomédicas "Alberto Sols", Consejo Superior de Investigaciones Científicas (CSIC), Universidad Autónoma de Madrid, Madrid, Spain.
Núria NiellInstituto de Investigaciones Biomédicas "Alberto Sols", Consejo Superior de Investigaciones Científicas (CSIC), Universidad Autónoma de Madrid, Madrid, Spain.
Susana AguilarCatalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.
José M FreijeDepartamento de Bioquímica y Biología Molecular, Facultad de Medicina, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain.
Osvaldo GrañaBioinformatics Unit and Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre, Madrid, Spain.
David G PisanoBioinformatics Unit and Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre, Madrid, Spain.
Aurea BorreroInstituto de Investigación Sanitaria-Fundación Jiménez Díaz, Madrid, Spain.
Javier Martínez-UserosInstituto de Investigación Sanitaria-Fundación Jiménez Díaz, Madrid, Spain.
Benilde JiménezInstituto de Investigaciones Biomédicas "Alberto Sols", Consejo Superior de Investigaciones Científicas (CSIC), Universidad Autónoma de Madrid, Madrid, Spain.
Mario F FragaCancer Epigenetics Laboratory, Instituto Universitario de Oncología del Principado de Asturias (IUOPA-HUCA), Universidad de Oviedo, Oviedo, Spain.
Jesús García-FoncillasInstituto de Investigación Sanitaria-Fundación Jiménez Díaz, Madrid, Spain.
Carlos López-OtínDepartamento de Bioquímica y Biología Molecular, Facultad de Medicina, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain.
Miguel LafargaDepartamento de Anatomía y Biología Celular, Universidad de Cantabria-IFIMAV, Santander, Spain.
Federico RojoInstituto de Investigación Sanitaria-Fundación Jiménez Díaz, Madrid, Spain.
Alberto MuñozInstituto de Investigaciones Biomédicas "Alberto Sols", Consejo Superior de Investigaciones Científicas (CSIC), Universidad Autónoma de Madrid, Madrid, Spain.
Hospital Universitario Fundación Jiménez Díaz · ESUniversidad Autónoma de Madrid · ESUniversidad de Oviedo · ESConsejo Superior de Investigaciones Científicas · ESSpanish National Cancer Research Centre · ESCentro Nacional de Biotecnología · ESInstitut Català d'Oncologia · ESInstituto de Investigaciones Biomédicas Sols-Morreale · ESScripps Research Institute · USUniversidad de Cantabria · ESVall d'Hebron Institute of Oncology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sporadic colorectal cancer (CRC) insurgence and progression depend on the activation of Wnt/β-catenin signaling. Dickkopf (DKK)-1 is an extracellular inhibitor of Wnt/β-catenin signaling that also has undefined β-catenin-independent actions. Here we report for the first time that a proportion of DKK-1 locates within the nucleus of healthy small intestine and colon mucosa, and of CRC cells at specific chromatin sites of active transcription. Moreover, we show that DKK-1 regulates several cancer-related genes including the cancer stem cell marker aldehyde dehydrogenase 1A1 (ALDH1A1) and Ral-binding protein 1-associated Eps domain-containing 2 (REPS2), which are involved in detoxification of chemotherapeutic agents. Nuclear DKK-1 expression is lost along CRC progression; however, it remains high in a subset (15%) of CRC patients (n = 699) and associates with decreased progression-free survival (PFS) after chemotherapy administration and overall survival (OS) [adjusted HR, 1.65; 95% confidence interval (CI), 1.23-2.21; P = 0.002)]. Overexpression of ALDH1A1 and REPS2 associates with nuclear DKK-1 expression in tumors and correlates with decreased OS (P = 0.001 and 0.014) and PFS. In summary, our findings demonstrate a novel location of DKK-1 within the cell nucleus and support a role of nuclear DKK-1 as a predictive biomarker of chemoresistance in colorectal cancer.

Indexed as

Aldehyde DehydrogenaseAldehyde Dehydrogenase 1 FamilyBiomarkers, TumorCalcium-Binding ProteinsCell Line, TumorCell NucleusColorectal NeoplasmsDrug Resistance, NeoplasmFemaleGene Expression Regulation, NeoplasticHumansIntercellular Signaling Peptides and ProteinsIntestinal MucosaIntracellular Signaling Peptides and ProteinsMalePrognosisAldehyde DehydrogenaseAldehyde Dehydrogenase 1 FamilyALDH1A1 protein, humanBiomarkers, TumorCalcium-Binding ProteinsDKK1 protein, humanIntercellular Signaling Peptides and ProteinsIntracellular Signaling Peptides and ProteinsREPS2 protein, humanRetinal DehydrogenaseALDH1A1biomarkerchemoresistancecolorectal cancerDickkopf-1

Identifiers

PMID25788273
PMCPMC4467410
OpenAlexW1871704727

What OpenQuestion holds

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LicenceCC BY
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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.