Evidence map›Paper›PMID 26208990›Full record

ArticleDiagnostic pathology2015

Gene-expression analysis of a colorectal cancer-specific discriminatory transcript set on formalin-fixed, paraffin-embedded (FFPE) tissue samples.

Alexandra Kalmár, Barnabás Wichmann, Orsolya Galamb, Sándor Spisák, Kinga Tóth, Katalin Leiszter, Boye Schnack Nielsen, Barbara Kinga Barták, Zsolt Tulassay, Béla Molnár

Open access · goldAbstract read
In one paragraph

Article in Diagnostic pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

10 authors at 3 institutions in 2 countries.

Alexandra Kalmár2nd Department of Internal Medicine, Semmelweis University, Budapest, Hungary. alexandra.kalmar@gmail.com.
Barnabás WichmannMolecular Medicine Research Unit, Hungarian Academy of Sciences, Budapest, Hungary. wwbarna@yahoo.com.
Orsolya GalambMolecular Medicine Research Unit, Hungarian Academy of Sciences, Budapest, Hungary. orsg1@yahoo.com.
Sándor SpisákMolecular Medicine Research Unit, Hungarian Academy of Sciences, Budapest, Hungary. spisak_sandor@yahoo.com.
Kinga Tóth2nd Department of Internal Medicine, Semmelweis University, Budapest, Hungary. drtothkinga@yahoo.com.
Katalin Leiszter2nd Department of Internal Medicine, Semmelweis University, Budapest, Hungary. leiszterkata@gmail.com.
Boye Schnack NielsenBioneer A/S, Hørsholm, Denmark. bsn@bioneer.dk.
Barbara Kinga Barták2nd Department of Internal Medicine, Semmelweis University, Budapest, Hungary. bartak.barbara@gmail.com.
Zsolt TulassayMolecular Medicine Research Unit, Hungarian Academy of Sciences, Budapest, Hungary. tulassay.zsolt@med.semmelweis-univ.hu.
Béla MolnárMolecular Medicine Research Unit, Hungarian Academy of Sciences, Budapest, Hungary. molnar.bela1@med.semmelweis-univ.hu.
Hungarian Academy of Sciences · HUSemmelweis University · HUBioneer (Denmark) · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA recently published transcript set is suitable for gene expression-based discrimination of normal colonic and colorectal cancer (CRC) biopsy samples. Our aim was to test the discriminatory power of the CRC-specific transcript set on independent biopsies and on formalin-fixed, paraffin-embedded (FFPE) tissue samples.

methodsTotal RNA isolations were performed with the automated MagNA Pure 96 Cellular RNA Large Volume Kit (Roche) from fresh frozen biopsies stored in RNALater (CRC (n = 15) and healthy colonic (n = 15)), furthermore from FFPE specimens including CRC (n = 15) and normal adjacent tissue (NAT) (n = 15) specimens next to the tumor. After quality and quantity measurements, gene expression analysis of a colorectal cancer-specific marker set with 11 genes (CA7, COL12A1, CXCL1, CXCL2, CHI3L1, GREM1, IL1B, IL1RN, IL8, MMP3, SLC5A7) was performed with array real-time PCR using Transcriptor First Strand cDNA Synthesis Kit (Roche) and RealTime ready assays on LightCycler480 System (Roche). In situ hybridization for two selected transcripts (CA7, CXCL1) was performed on NAT (n = 3), adenoma (n = 3) and CRC (n = 3) FFPE samples.

resultsAlthough analytical parameters of automatically isolated RNA samples showed differences between fresh frozen biopsy and FFPE samples, both quantity and the quality enabled their application in gene expression analyses. CRC and normal fresh frozen biopsy samples could be distinguished with 93.3% sensitivity and 86.7% specificity and FFPE samples with 96.7 and 70.0%, respectively. In situ hybridization could confirm the upregulation of CXCL1 and downregulation of CA7 in colorectal adenomas and tumors compared to healthy controls.

conclusionAccording to our results, gene expression analysis of the analyzed colorectal cancer-specific marker set can also be performed from FFPE tissue material. With the addition of an automated workflow, this marker set may enhance the objective classification of colorectal neoplasias in the routine procedure in the future.

Indexed as

Area Under CurveBiomarkers, TumorColorectal NeoplasmsFormaldehydeGene Expression ProfilingHumansIn Situ HybridizationParaffin EmbeddingReal-Time Polymerase Chain ReactionROC CurveSensitivity and SpecificityTissue FixationBiomarkers, TumorFormaldehyde

Identifiers

PMID26208990
PMCPMC4515026
OpenAlexW1950879455

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.