Nonerythrodermic, leukemic variant of cutaneous T-cell lymphoma with indolent clinical course: Th2-type tumor cells lacking T-cell receptor/CD3 expression and coinfiltrating tumoricidal CD8+ T cells

2000 ◽  
Vol 43 (5) ◽  
pp. 946-954 ◽  
Author(s):  
Yoshiki Tokura ◽  
Hiroaki Yagi ◽  
Naohiro Seo ◽  
Tomoko Takagi ◽  
Masahiro Takigawa
2004 ◽  
Vol 173 (11) ◽  
pp. 7062-7069 ◽  
Author(s):  
Marie Gonthier ◽  
Régine Llobera ◽  
Jacques Arnaud ◽  
Bent Rubin

2020 ◽  
Author(s):  
Darci Phillips ◽  
Magdalena Matusiak ◽  
Belén Rivero Gutierrez ◽  
Salil S. Bhate ◽  
Graham L. Barlow ◽  
...  

Anti-PD-1 immunotherapies have transformed cancer treatment, yet the determinants of clinical response are largely unknown. We performed CODEX multiplexed tissue imaging and RNA sequencing on 70 tumor regions from 14 advanced cutaneous T cell lymphoma (CTCL) patients enrolled in a clinical trial of pembrolizumab therapy. Clinical response was not associated with the frequency of tumor-infiltrating T cell subsets, but rather with striking differences in the spatial organization and functional immune state of the tumor microenvironment (TME). After treatment, pembrolizumab responders had a localized enrichment of tumor and CD4+ T cells, which coincided with immune activation and cytotoxic PD-1+ CD4+ T cells. In contrast, non-responders had a localized enrichment of Tregs pre- and post-treatment, consistent with a persistently immunosuppressed TME and exhausted PD-1+ CD4+ T cells. Integrating these findings by computing the physical distances between PD-1+ CD4+ T cells, tumor cells, and Tregs revealed a spatial biomarker predictive of pembrolizumab response. Finally, the chemokine CXCL13 was upregulated in tumor cells in responders post-treatment, suggesting that chemoattraction of PD-1+ CD4+ T cells towards tumor cells facilitates a positive outcome. Together, these data show that T cell topography reflects the balance of effector and suppressive activity within the TME and predicts clinical response to PD-1 blockade in CTCL.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 2053-2053
Author(s):  
Magdalena Wozniak ◽  
Pablo Ortiz ◽  
Lorraine Tracey ◽  
Jose L. Peralto ◽  
Monica Alvarez ◽  
...  

Abstract Mycosis fungoides (MF) is a low-grade cutaneous T-cell lymphoma, in which malignant T cell clones (mostly CD4+) arise in the skin from the early disease stages. IFN-α is widely used in the treatment of MF and when used in combination with PUVA has been reported as an effective treatment, with overall response rates of 30%–80%, and complete response rates of 14%–25%. However, up to date there is no information available on prognostic factors that could help to predict response to IFN-α /PUVA in MF. The purpose of the study was to find the molecular signature associated with IFN-α /PUVA resistance, or lack of remission after IFN-α /PUVA treatment. The gene expression profile of the pre-treatment samples from 30 MF patients enrolled in a random clinical trial with IFN-α and/or PUVA has been analyzed by use of cDNA microarrays. Following the treatment outcome, the patients have been divided into good responders (23 patients that have achieved complete remission in the time of 24 weeks or less) and bad responders (7 patients that have not reached completed remission or have shown progression of the disease during treatment). The genes associated with good vs. bad response have been identified. Four genes associated with cell cycle regulation and tumour microenviroment have been identified to predict good response by the significance analysis of microarrays (SAM) correlating expression data with survival time. Moreover, 38 genes involved in T cell receptor signaling pathway, NF-kB activation and Jak-Stat signaling pathway have been found to be associated with unfavorable response to treatment by use of SAM analysis. This was validated using other bioinformatics tools based on t-statistics and Cox-model, applying False Discovery Rate for multiple testing. Furthermore, using a web-based tool (Signs) that uses a combination of gene filtering, clustering and survival model building, a 2-gene model has been obtained. This model could distinguish two groups of MF patients with probability of remission at 24 weeks of 15%, and 60% (log-rank test, p:0.007). This confirms that TCR-signaling plays a key role in cutaneous T-cell lymphoma cell survival; and could potentially be used for stratifying MF patients treated with IFN-α /PUVA into different risk-groups, if confirmed in additional studies.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1451-1451
Author(s):  
Chao Wang ◽  
Qiang Gong ◽  
Weiwei Zhang ◽  
Javeed Iqbal ◽  
Yang Hu ◽  
...  

Abstract Introduction: Diversity of the T-cell receptor (TCR) repertoire reflects the initial V(D)J recombination events as shaped by selection by self and foreign antigens. Next generation sequencing is a powerful method for profiling the TCR repertoire, including sequences encoding complementarity-determining region 3 (CDR3). Peripheral T-cell lymphoma (PTCL) is a group of malignancies that originate from mature T-cells. T-cell clonality of PTCL is routinely evaluated with a PCR-based method to detect TCR gamma and less frequently beta chain rearrangements using genomic DNA. However, there are limitations with this approach, chief among which is the lack of sequence information. To date, the TCR repertoire of different subtypes of PTCL remains poorly defined. Objective: The purpose of this study was to determine the utility of RNA-seq for assessing T-cell clonality and analyzing the TCR usage in PTCL samples. Methods: We analyzed RNA-seq data from 30 angioimmunoblastic T-cell lymphoma (AITL), 23 Anaplastic large cell lymphoma (ALCL), 10 PTCL-NOS, and 17 NKCL. Data from naïve T cells, TFH cells, and T-effector cells (CD4+ CD45RA− TCRβ+ PD-1lo CXCR5lo PSGL-1hi) were obtained from publicly available resources. Referenced TCR and immunoglobulin transcripts according to the International ImMunoGeneTics Information System (IMGT) database were quantified by Kallisto software. We divided the pattern of Vβ (T-cell receptor beta variable region) into three categories: monoclonal (mono- or bi-allelic), oligoclonal (3-4 dominant clones), and polyclonal. CDR3 sequences were extracted by MiXCR program. PCR of the gamma chain using genomic DNA was utilized to validate the clonality of selected cases. Single nucleotide variants (SNVs) were called from aligned RNA-seq data using Samtools and VarScan 2 programs. Results: Analysis of RNA-seq data identified preferential usage of TCR-Vβ, Dβ (diversity region), and Jβ (joining region), length diversity of CDR3, and usage of nontemplated bases. Dominant clones could be identified by transcriptome sequencing in most cases of AITL (21/30), ALCL (14/23), and PTCL-NOS (7/10). Median CDR3 length is 42 nucleotides (nt) in normal T cells, 41 nt in ALCL, 48 nt in PTCL-NOS, and 44 nt in AITL. In 30 AITL samples, 20 showed monoclonal Vβ with a single peak, and 9 showed polyclonal Vβ. One case had two dominant clones with different CDR3, only one of which was in frame, implying biallelic rearrangements. As many as 3511 clones supported by at least four reads could be detected in polyclonal cases. In monoclonal cases, the dominant clone varied between 11.8% and 92.8% of TCR with Vβ rearrangements. TRBV 20-1, which is the most commonly used segment in normal T cells, is also frequently used in the dominant clones in AITL. The monoclonal AITL cases showed mutation of TET2, RHOA, DNMT3A or IDH2 whereas most of the polyclonal cases were negative or had low VAF mutation suggesting low or absent of tumor infiltrate in the specimen sequenced. There is no obvious correlation of any of the mutations with Vβ usage. Clonal B cell expansion was noted in some AITL samples. The occurrence of a preferential TRBV9 expansion in PTCL-NOS was striking. More than half of ALCL samples (14/23) showed expression of clonal Vβ, but 3/14 dominant clones were out-of-frame. γ chain expression was very low in cells expressing TCRαβ, but both expression levels and clonality were higher in TCRγδ expressing tumors. NKCL did not express significant levels of TCR Vβ or Vγ genes. Discussion/Interpretation: Transcriptome sequencing is a useful tool for understanding the TCR repertoire in T cell lymphoma and for detecting clonality for diagnosis. Clonal, often out-of-frame, Vβ transcripts are detectable in most ALCL cases and preferential TRBV9 usage is found in PTCL-NOS. Disclosures No relevant conflicts of interest to declare.


2007 ◽  
Vol 48 (3) ◽  
pp. 156-160 ◽  
Author(s):  
Christopher CI Foo ◽  
Mark BY Tang ◽  
Tina KL Chong ◽  
Yong-Jiang Sun ◽  
Suat-Hoon Tan

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