A Rare Variant of Aggressive T-Cell Large Granular Lymphocyte Leukemia Associated With Hepatic Fibrosis and Trisomy 8: A Case Report and Literature Review
Bibliographic record
Abstract
Aggressive T-cell large granular lymphocytic leukemia (T-LGL) is a rare entity with a poor prognosis, the main clinical findings being splenomegaly, lymphadenopathy, thrombocytopenia and a CD3 + /CD56 + phenotype. A 21-year-old lady presented with hepatosplenomegaly, lymphadenopathy, “B” symptoms and thrombocytopenia. She subsequently developed jaundice, ascites and deranged liver function. LGL was detected in the peripheral blood and marrow. They had an aberrant CD3 + /CD4 - /CD8dim/CD56 + phenotype. Karyotyping showed trisomy 8 which has not previously been reported in aggressive T-LGL. A liver biopsy showed hepatic fibrosis with a sinusoidal LGL infiltrate. Her ascitic fluid also showed involvement by T-LGL. She had a poor response to cyclophosphamide, doxorubicin, vincristine and prednisolone (CHOP) chemotherapy and opted for palliation. We performed targeted sequencing to detect mutations in the STAT3 , STAT5b and PTPRT genes which were absent, suggesting the presence of an alternative genetic driver in our patient. We report an unusual case of aggressive T-LGL with an aberrant immunophenotype, trisomy 8 and hepatic fibrosis with absence of mutations in the STAT pathway. Our case describes novel features of aggressive T-LGL and the need for further studies to elucidate the genetic basis of this rare disease. J Hematol. 2015;4(3):214-218 doi: http://dx.doi.org/10.14740/jh223w
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".