Evidence map›Paper›PMID 19066834›Full record

ArticleJournal of molecular medicine (Berlin, Germany)2009

A novel approach for reliable microarray analysis of microdissected tumor cells from formalin-fixed and paraffin-embedded colorectal cancer resection specimens.

Silke Lassmann, Clemens Kreutz, Anja Schoepflin, Ulrich Hopt, Jens Timmer, Martin Werner

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Article in Journal of molecular medicine (Berlin, Germany), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Expression profiling of archival tumors for long-term health studies.Clinical cancer research : an official journal of the American Association for Cancer Research · 2012
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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

6 authors.

Silke LassmannInstitute of Pathology, University Hospital, Albert-Ludwigs University, Breisacherstr. 115a, 79106, Freiburg, Germany. silke.lassmann@uniklinik-freiburg.de
Clemens Kreutz
Anja Schoepflin
Ulrich Hopt
Jens Timmer
Martin Werner

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a novel approach for microarray analysis of RNA derived from microdissected cells of routinely formalin-fixed and paraffin-embedded (FFPE) cancer resection specimens. Subsequent to RNA sample preparation and hybridization to standard GeneChips (Affymetrix), RNA samples yielded 36.43 +/- 9.60% (FFPE), 49.90 +/- 4.43% (fresh-frozen), and 53.9% (cell line) present calls. Quality control parameters and Q-RT-PCR validation demonstrated reliability of results. Microarray datasets of FFPE samples were informative and comparable to those of fresh-frozen samples. A systematic measurement difference of differentially processed tissues was eliminated by a correction step for comparative unsupervised data analysis of fresh-frozen and FFPE samples. Within FFPE samples, unsupervised clustering analyses clearly distinguished between normal and malignant tissues as well as to further separate tumor samples according to histological World Health Organization (WHO) subtypes. In summary, our approach represents a major step towards integration of microarrays into retrospective studies and enables further investigation of the relevance of microarray analysis for clinico-pathological diagnostics.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedAged, 80 and overAurora KinasesCluster AnalysisColonColorectal NeoplasmsFemaleFormaldehydeFrozen SectionsGene Expression ProfilingHCT116 CellsHumansImmunohistochemistryMaleAurora KinasesFormaldehydeProtein Serine-Threonine Kinases

Identifiers

What OpenQuestion holds

Textmetadata
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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.