Angioimmunoblastic T-Cell Lymphoma: Clinical Aspects and Recent Advances in Biology and Therapy
Bibliographic record
Abstract
Angioimmunoblastic T-cell lymphoma (AITL) comprehends 20% of the peripheral T-cell lymphomas (PTCL). Although rare, its clinical features may overlap with many other inflammatory, infectious or neoplastic disorders. Therefore, that patients are often diagnosed with advanced stage disease, which contributes for the disease´s dismal prognosis. The clinical presentation of AITL is frequently an assemblage of symptoms including generalized and painful lymphadenopathy, multiple cutaneous alterations, hypergammaglobulinemia, fever, loss of weight and significant autoimmune phenomena. Recent advances in AITL biology have implicated a cell with T-follicular helper phenotype as the origin of the disorder. This rare type of T lymphocyte has a peculiar capacity of interact with microenviroment, which results in an important production of cytokines, explaining the clinical findings of this type of lymphoma. In addition to its pathologic features, AITL can be distinguished from other T-cell lymphomas based on gene expression arrangement, suggesting that AITL has a uniquebiology. Moreover, somatic mutations in the epigenetic regulators DNMT3A, TET2, IDH2, and, especially, in the multifunctional RHOA GTPase gene, have emerged as very consistent genetic abnormalities in AITL. Considering its low incidence, the development of clinical trials in AITL is a challenging matter. Furthermore, the majority of data available originates from studies that contain other subtypes of PTCL, making prognosis analysis and treatment decision a tough work. In this review, we discuss the biological and clinical aspects of AITL and the alternatives for frontline treatment and the management of relapsed disease.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".