Evidence map›Paper›PMID 25759163›Full record

ArticleMolecular oncology2015

Establishment and characterization of models of chemotherapy resistance in colorectal cancer: Towards a predictive signature of chemoresistance.

Niels F Jensen, Jan Stenvang, Mette K Beck, Barbora Hanáková, Kirstine C Belling, Khoa N Do, Birgitte Viuff, Sune B Nygård, Ramneek Gupta, Mads H Rasmussen and 12 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
3.2field-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

78 citing papers in PubMed, 1 synthesis or guideline pooled it, 139 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
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  17. Structure-Activity Relationship Study of (ACS pharmacology & translational science · 2024
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  18. Article
  19. Article
  20. Article

18 more citing papers are in PubMed but not listed here.

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

22 authors at 8 institutions in 3 countries.

Niels F JensenUniversity of Copenhagen, Faculty of Health and Medical Sciences, Department of Veterinary Disease Biology, Frederiksberg, Denmark.
Jan StenvangUniversity of Copenhagen, Faculty of Health and Medical Sciences, Department of Veterinary Disease Biology, Frederiksberg, Denmark.
Mette K BeckTechnical University of Denmark, Department for Systems Biology, Center for Biological Sequence Analysis, Lyngby, Denmark.
Barbora HanákováMasaryk University, Faculty of Medicine, Institute of Biostatistics and Analyses, Brno, Czech Republic.
Kirstine C BellingTechnical University of Denmark, Department for Systems Biology, Center for Biological Sequence Analysis, Lyngby, Denmark.
Khoa N DoTechnical University of Denmark, Department for Systems Biology, Center for Biological Sequence Analysis, Lyngby, Denmark.
Birgitte ViuffUniversity of Copenhagen, Faculty of Health and Medical Sciences, Department of Veterinary Disease Biology, Frederiksberg, Denmark.
Sune B NygårdUniversity of Copenhagen, Faculty of Health and Medical Sciences, Department of Veterinary Disease Biology, Frederiksberg, Denmark.
Ramneek GuptaTechnical University of Denmark, Department for Systems Biology, Center for Biological Sequence Analysis, Lyngby, Denmark.
Mads H RasmussenAarhus University Hospital, Department of Molecular Medicine, Aarhus, Denmark.
Line S TarpgaardUniversity of Southern Denmark, Institute of Clinical Research, Oncology Unit, Odense, Denmark.
Tine P HansenUniversity of Southern Denmark, Institute of Clinical Research, Pathology Unit, Odense, Denmark.
Eva BudinskáMasaryk University, Faculty of Medicine, Institute of Biostatistics and Analyses, Brno, Czech Republic.
Per PfeifferUniversity of Southern Denmark, Institute of Clinical Research, Oncology Unit, Odense, Denmark.
Fred BosmanUniversity of Lausanne, University Institute of Pathology, Lausanne, Switzerland.
Sabine TejparUniversity Hospital Gasthuisberg, Digestive Oncology Unit, Leuven, Belgium.
Arnaud RothUniversity Hospital of Geneva, Oncosurgery Unit, Geneva, Switzerland.
Mauro DelorenziSIB Swiss Institute of Bioinformatics, Bioinformatics Core Facility, Lausanne, Switzerland; University of Lausanne, Ludwig Center for Cancer Research, Lausanne, Switzerland; University of Lausanne, Oncology Department, Lausanne, Switzerland.
Claus L AndersenAarhus University Hospital, Department of Molecular Medicine, Aarhus, Denmark.
Maria U RømerUniversity of Copenhagen, Faculty of Health and Medical Sciences, Department of Veterinary Disease Biology, Frederiksberg, Denmark.
Nils BrünnerUniversity of Copenhagen, Faculty of Health and Medical Sciences, Department of Veterinary Disease Biology, Frederiksberg, Denmark. Electronic address: nbr@sund.ku.dk.
José M A MoreiraUniversity of Copenhagen, Faculty of Health and Medical Sciences, Department of Veterinary Disease Biology, Frederiksberg, Denmark.
University of Copenhagen · DKTechnical University of Denmark · DKUniversity of Southern Denmark · DKAarhus University Hospital · DKMasaryk University · CZSIB Swiss Institute of Bioinformatics · CHUniversity Hospital of Geneva · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current standard treatments for metastatic colorectal cancer (CRC) are based on combination regimens with one of the two chemotherapeutic drugs, irinotecan or oxaliplatin. However, drug resistance frequently limits the clinical efficacy of these therapies. In order to gain new insights into mechanisms associated with chemoresistance, and departing from three distinct CRC cell models, we generated a panel of human colorectal cancer cell lines with acquired resistance to either oxaliplatin or irinotecan. We characterized the resistant cell line variants with regards to their drug resistance profile and transcriptome, and matched our results with datasets generated from relevant clinical material to derive putative resistance biomarkers. We found that the chemoresistant cell line variants had distinctive irinotecan- or oxaliplatin-specific resistance profiles, with non-reciprocal cross-resistance. Furthermore, we could identify several new, as well as some previously described, drug resistance-associated genes for each resistant cell line variant. Each chemoresistant cell line variant acquired a unique set of changes that may represent distinct functional subtypes of chemotherapy resistance. In addition, and given the potential implications for selection of subsequent treatment, we also performed an exploratory analysis, in relevant patient cohorts, of the predictive value of each of the specific genes identified in our cellular models.

Indexed as

Colorectal NeoplasmsDrug Resistance, NeoplasmModels, BiologicalCamptothecinCell Line, TumorHumansIrinotecanOrganoplatinum CompoundsOxaliplatinCamptothecinIrinotecanOrganoplatinum CompoundsOxaliplatinCell line modelsColorectal cancerIrinotecanOxaliplatinResistance

Identifiers

PMID25759163
PMCPMC5528766
OpenAlexW2140650011

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.