MétaCan
Menu
Back to cohort
Record W3180188719 · doi:10.1101/2021.07.05.21260052

Clonotype pattern in T-cell lymphomas map the cell of origin to immature lymphoid precursors

2021· preprint· en· W3180188719 on OpenAlexafffund
Aishwarya Iyer, Dylan Hennessey, Robert Gniadecki

Bibliographic record

VenuemedRxiv · 2021
Typepreprint
Languageen
FieldMedicine
TopicCutaneous lymphoproliferative disorders research
Canadian institutionsUniversity of Alberta
FundersNational Institutes of HealthBispebjerg HospitalCanadian Dermatology FoundationSun PharmaUniversity of AlbertaMitacs
KeywordsLymphomaMycosis fungoidesT-cell receptorT cellBiologyPeripheral T-cell lymphomaAnaplastic large-cell lymphomaT-cell lymphomaGene rearrangementCell of originCancer researchImmunologyPathologyCellMedicineImmune systemGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Background Mature T-cell lymphomas (TCLs) are rare, clinically heterogeneous hematologic cancers of high medical need. TCLs have inferior prognosis compared with their B-cell counterparts, which is attributed to poor understanding of their pathogenesis. Based on phenotypic similarities between normal and neoplastic lymphocytes it has been assumed that TCLs develop in the periphery, directly from various subtypes of normal T-cells. Methods and findings To address the debated question of the cell of origin in TCLs we analyzed to identify the highly variable complementarity determining regions (CDR3) regions of T-cell receptor (TCR) to trace the clonal history of the T-cells. We have collected previously published whole genome-exome, and -transcriptome sequencing data from 574 TCL patients comprising five nodal lymphomas [anaplastic large cell lymphoma (n=67), peripheral T-cell lymphoma (PTCL, n=55), adult T-cell lymphoma/leukemia (n=135), natural killer T-cell lymphoma (NKCL, n=25), not specified/other (n=30)] and three extranodal, cutaneous T-cell lymphomas [mycosis fungoides (n=122), Sezary syndrome (n=130), and subcutaneous panniculitis-like T-cell lymphoma (n=10)]. TCR clonotypes contained in the tumor cell fraction, representing the clonotypes of malignant cells, were identified by de novo assembly of CDR3 regions of TCR γ, β and α. We have found that the vast majority of TCLs are clonotypically oligoclonal, although the pattern oligoclonality varied. Anaplastic large cell lymphoma was most diverse comprising multiple clonotypes of TCRγ, β and α whereas adult T-cell lymphoma/leukemia and peripheral T-cell lymphomas often showed monoclonality for TCRγ and β but had diverse TCRα clonotypes. These patterns of rearrangements were not compatible with the current mature T-cell precursor model and indicated that TCLs are initiated at the level of the lymphoid precursor. In keeping with this hypothesis, TCR rearrangements in TCLs resembled the pattern seen in the human thymus showing biased usage of V and J segments of high combinatorial probability resulting in recurrent, “public” CDR3 sequences shared between unrelated patients and across different clinical TCL entities. Frequencies of malignant clonotypes followed Zipf-Mandelbrot scaling law suggesting that TCLs comprise an interconnected system of expanding tumor clones. The major limitation of this study is that it is based on the analysis of the TCR clonotypes and does not directly inform about developmental trajectories of cellular clones. Conclusions Lymphoid precursors are the likely cells of origin for mature T-cell lymphomas. Anaplastic large cell lymphoma seems to be derived from the most immature precursors with germline TCR whereas peripheral T-cell lymphoma and adult T-cell lymphoma/leukemia map to the later stages after TCRβ rearrangement stage. Clonotypically diverse initiating cells may seed target tissues being responsible for disease relapses after therapy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.301
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

Same venuemedRxivSame topicCutaneous lymphoproliferative disorders researchFrench-language works237,207