Evidence map›Paper›PMID 25946211›Full record

ArticlePloS one2015

Comparison of genetic and epigenetic alterations of primary tumors and matched plasma samples in patients with colorectal cancer.

Elisa Danese, Anna Maria Minicozzi, Marco Benati, Martina Montagnana, Elisa Paviati, Gian Luca Salvagno, Gabriel Lima-Oliveira, Milena Gusella, Felice Pasini, Giuseppe Lippi and 1 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
–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.

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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Observational
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

11 authors.

Elisa DaneseLaboratory of Clinical Biochemistry, Department of Life and Reproduction Sciences, University Hospital of Verona, Verona, Italy.
Anna Maria MinicozziNational Centre for Bowel Research and Surgical Innovation (NCBRSI), Academic Surgical Unit, Barts and The London NHS Trust, Queen Mary University of London, London, United Kingdom.
Marco BenatiLaboratory of Clinical Biochemistry, Department of Life and Reproduction Sciences, University Hospital of Verona, Verona, Italy.
Martina MontagnanaLaboratory of Clinical Biochemistry, Department of Life and Reproduction Sciences, University Hospital of Verona, Verona, Italy.
Elisa PaviatiLaboratory of Clinical Biochemistry, Department of Life and Reproduction Sciences, University Hospital of Verona, Verona, Italy.
Gian Luca SalvagnoLaboratory of Clinical Biochemistry, Department of Life and Reproduction Sciences, University Hospital of Verona, Verona, Italy.
Gabriel Lima-OliveiraLaboratory of Clinical Biochemistry, Department of Life and Reproduction Sciences, University Hospital of Verona, Verona, Italy.
Milena GusellaOncology Department, Laboratory of Pharmacology and Molecular Biology, Rovigo General Hospital, Trecenta, Rovigo, Italy.
Felice PasiniDepartment of Medical Oncology, Rovigo Hospital, Rovigo, Italy.
Giuseppe LippiLaboratory of Clinical Chemistry and Hematology, Academic Hospital of Parma, Parma, Italy.
Gian Cesare GuidiLaboratory of Clinical Biochemistry, Department of Life and Reproduction Sciences, University Hospital of Verona, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough recent advances in circulating DNA analysis allow the prediction of tumor genomes by noninvasive means, some challenges remain, which limit the widespread introduction of cfDNA in cancer diagnostics. We analyzed the status of the two best characterized colorectal cancer (CRC) genetic and epigenetic alterations in a cohort of CRC patients, and then compared the degree to which the two patterns move from tissue to plasma in order to improve our understanding of biology modulating the concordance between tissues and plasma methylation and mutation profiles.

methodsPlasma and tumor tissues were collected from 85 patients (69±14 years, 56 males). KRAS and SEPT9 status was assessed by allele refractory mutation system quantitative PCR and quantitative methylation-specific PCR, respectively. Six of the most common point mutations at codon 12 and 13 were investigated for KRAS analysis.

resultsKRAS mutations and SEPT9 promoter methylation were present in 34% (29/85) and in 82% (70/85) of primary tumor tissue samples. Both genetic and epigenetic analyses of cfDNA revealed a high overall concordance and specificity compared with tumor-tissue analyses. Patients presenting with both genetic and epigenetic alterations in tissue specimens (31.8%, 27/85) were considered for further analyses. The median methylation rates in tumour tissues and plasma samples were 64.5% (12.2-99.8%) and 14.5% (0-45.5%), respectively. The median KRAS mutation load (for matched mutations) was 33.6% (1.8-86.3%) in tissues and 2.9% (0-17.3) in plasma samples. The plasma/tissue (p/t) ratio of SEPT9 methylation rate was significantly higher than the p/t ratio of KRAS mutation load, especially in early stage cancers (p=0.0108).

conclusionThe results of this study show a discrepant rate of epigenetic vs. genetic alterations moving from tissue to plasma. Many factors could affect mutation cfDNA analysis, including both presence of tumor clonal heterogeneity and strict compartmentalization of KRAS mutation profile. The present study highlights the importance of considering the nature of the alteration when analyzing tumor-derived cfDNA.

Indexed as

AdenocarcinomaAgedColorectal NeoplasmsDNA MethylationDNA Mutational AnalysisDNA, NeoplasmEpigenesis, GeneticFemaleHumansMalePoint MutationPromoter Regions, GeneticProto-Oncogene Proteins p21(ras)SeptinsDNA, NeoplasmKRAS protein, humanProto-Oncogene Proteins p21(ras)SEPTIN9 protein, humanSeptins

Identifiers

PMID25946211
PMCPMC4422441

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.