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.
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.
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Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Extraction of high quality and high yield RNA from frozen EDTA blood.Scientific reports · 2024Article
- Single-cell analysis of Sézary syndrome reveals novel markers and shifting gene profiles associated with treatment.Blood advances · 2023Article
- Cutaneous T-cell lymphoma developing in surgical scars post cardiac surgery: A case study.SAGE open medical case reports · 2023Article
- Review
- Clinical Response to Anti-CD47 Immunotherapy Is Associated with Rapid Reduction of Exhausted Bystander CD4Cancers · 2021Article
- The transcriptional landscape analysis of basal cell carcinomas reveals novel signalling pathways and actionable targets.Life science alliance · 2021Article
- Single-Cell Heterogeneity of Cutaneous T-Cell Lymphomas Revealed Using RNA-Seq Technologies.Cancers · 2020Review
- Hypopigmented Mycosis Fungoides: Loss of Pigmentation Reflects Antitumor Immune Response in Young Patients.Cancers · 2020Review
- Investigating epidemiologic trends and the geographic distribution of patients with anal squamous cell carcinoma throughout Canada.Current oncology (Toronto, Ont.) · 2020Article
- Artificial Intelligence Applications in Dermatology: Where Do We Stand?Frontiers in medicine · 2020Review
- 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 · 2019Article
- A study of meiomitosis and novel pathways of genomic instability in cutaneous T-cell lymphomas (CTCL).Oncotarget · 2018Article
- Article
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Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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
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