Evidence map›Paper›PMID 29018799›Full record

ArticleFrontiers in medicine2017

TruSeq-Based Gene Expression Analysis of Formalin-Fixed Paraffin-Embedded (FFPE) Cutaneous T-Cell Lymphoma Samples: Subgroup Analysis Results and Elucidation of Biases from FFPE Sample Processing on the TruSeq Platform.

Philippe Lefrançois, Michael T Tetzlaff, Linda Moreau, Andrew K Watters, Elena Netchiporouk, Nathalie Provost, Martin Gilbert, Xiao Ni, Denis Sasseville, Madeleine Duvic and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

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  11. Single-Cell Profiling of Cutaneous T-Cell Lymphoma Reveals Underlying Heterogeneity Associated with Disease Progression.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
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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

11 authors at 5 institutions in 2 countries.

Philippe LefrançoisDivision of Dermatology, McGill University Health Centre, Montreal, QC, Canada.
Michael T TetzlaffDepartment of Pathology, Section of Dermatopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Linda MoreauDivision of Dermatology, McGill University Health Centre, Montreal, QC, Canada.
Andrew K WattersDepartment of Pathology, McGill University Health Centre, Montreal, QC, Canada.
Elena NetchiporoukDivision of Dermatology, McGill University Health Centre, Montreal, QC, Canada.
Nathalie ProvostDivision of Dermatology, Université de Montréal, Montréal, QC, Canada.
Martin GilbertDivision of Dermatology, Université Laval, Québec, QC, Canada.
Xiao NiDepartment of Dermatology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Denis SassevilleDivision of Dermatology, McGill University Health Centre, Montreal, QC, Canada.
Madeleine DuvicDepartment of Dermatology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Ivan V LitvinovDivision of Dermatology, McGill University Health Centre, Montreal, QC, Canada.
McGill University Health Centre · CAThe University of Texas MD Anderson Cancer Center · USOttawa Hospital · CAUniversité de Montréal · CAUniversité Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cutaneous T-cell lymphomas (CTCLs) are a heterogeneous group of malignancies with courses ranging from indolent to potentially lethal. We recently studied in a 157 patient cohort gene expression profiles generated by the TruSeq targeted RNA gene expression sequencing. We observed that the sequencing library quality and depth from formalin-fixed paraffin-embedded (FFPE) skin samples were significantly lower when biopsies were obtained prior to 2009. We also observed that the fresh CTCL samples clustered together, even though they included stage I-IV disease. In this study, we compared TruSeq gene expression patterns in older (≤2008) vs. more recent (≥2009) FFPE samples to determine whether these clustering analyses and earlier described differentially expressed gene findings are robust when analyzed based on the year of biopsy. We also explored biases found in FFPE samples when subjected to the TruSeq analysis of gene expression. Our results showed that ≤2008 and ≥2009 samples clustered equally well to the full data set and, importantly, both analyses produced nearly identical trends and findings. Specifically, both analyses enriched nearly identical DEGs when comparing benign vs. (1) stage I-IV and (2) stage IV (alone) CTCL samples. Results obtained using either ≤2008 or ≥2009 samples were strongly correlated. Furthermore, by using subgroup analyses, we were able to identify additional novel differentially expressed genes (DEGs), which did not reach statistical significance in the prior full data set analysis. Those included CTCL-upregulated

Indexed as

cutaneous T-cell lymphomadiagnostic markersexpression profilingmycosis fungoidesprognostic markersSézary syndromeTruSeq

Identifiers

PMID29018799
PMCPMC5614967
OpenAlexW2757568770

What OpenQuestion holds

Textmetadata
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.