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Anaplastic large cell lymphoma, ALK-negative

2012· review· en· W2517435317 on OpenAlexaff
Andrés J.M. Ferreri, Silvia Govi, Stefano Pileri, Kerry J. Savage

Bibliographic record

VenueCritical Reviews in Oncology/Hematology · 2012
Typereview
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsAnaplastic large-cell lymphomaAnaplastic lymphoma kinaseLymphomaMedicineCD30Internal medicinePathologyLarge cellB symptomsOncologyCancerAdenocarcinomaLung cancer

Abstract

fetched live from OpenAlex

Anaplastic large cell lymphoma (ALCL), anaplastic lymphoma kinase (ALK)-negative (ALCL-ALK-) is a provisional entity in the WHO 2008 Classification that represents 2-3% of NHL and 12% of T-cell NHL. No particular risk factor has been clearly identified for ALCL, but a recent study showed an odds ratio of 18 for ALCL associated with breast implants. Usually, the architecture of involved organs is eroded by solid, cohesive sheets of neoplastic cells, with peripheral T-cell lymphoma-not otherwise specified (PTCL-NOS) and classical Hodgkin lymphoma being the main differential diagnoses. In this regard, staining for PAX5 and CD30 is useful. Translocations involving ALK are absent, TCR genes are clonally rearranged. CGH and GEP studies suggest a tendency of ALCL-ALK- to differ both from PTCL-NOS and from ALCL-ALK+. Patients with ALCL-ALK- are usually adults with a median age of 54-61 years, and a male-to-female ratio of 0.9. At presentation, ALCL-ALK- is often in III-IV stage, with B symptoms, high International Prognostic Index score, high lactate dehydrogenase serum levels, and an aggressive course. ALCL-ALK- presents with lymph node involvement in ∼50% of cases; extranodal spread (20%) is less common. Staging work-up for ALCL-ALK- is similar to that routinely used for nodal NHL. Overall prognosis is poor, with a 5-year OS of 30-49%, which is significantly worse when compared to OS reported in patients with ALCL-ALK+ (5-year: 70-86%). Patients with systemic ALCL exhibit a significantly better survival compared with patients with PTCL-NOS, with a 5-year OS of 51% and 32%, respectively. Age, PIT scoring system, β2-microglobulin, and bone marrow infiltration are the main prognostic factors. The expression of proteins involved in the regulation of apoptosis (caspase 3, Bcl-2, PI9) and of CD56 is related to clinical outcome. ALCL-ALK- is generally responsive to doxorubicin-containing chemotherapy, but relapses are frequent. CHOP is the most commonly used regimen to treat systemic ALCL with complete remission rates of 56%, and a 10-year DFS of 28%. Encouraging results have been reported with more intensive chemotherapy regimens. The addition of etoposide improved outcome. Alemtuxumab-CHOP regimen was associated with excellent remission rate but increased toxicity. The role of high-dose chemotherapy supported by ASCT has not been investigated in a trial of exclusively ALCL patients. When used in first remission, it was associated with a 5-year PFS of 64%. High-dose chemotherapy with ASCT is the standard therapeutic option for patients with relapsed or refractory disease. The role of allogeneic transplantation in patients with relapsed/refractory ALCL remains to be defined but there are data to support the contention that a graft-versus-lymphoma effect does exist. Myeloablative conditioning has been associated with 5-year PFS and OS of 40% and 41%, respectively, but a 5-year TRM of 33% was reported. Allo-SCT can be an option for relapsed/refractory ALCL in younger patients, preferably in the setting of a clinical trial. Pralatrexate, anti-CD30 monoclonal antibodies, brentuximab vedotin (SGN-35) in particular, (131)I-anti-CD45 radioantibody, yttrium-anti-CD25 radioimmunoconjugates, histone deacetylase inhibitors, bortezomib, gemcitabine, vorinostat, lenalidomide, and their combinations represent the most appealing chemotherapy and/or targeted agents to be investigated in future trials.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.949
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0110.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.007

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 head0.095
GPT teacher head0.436
Teacher spread0.341 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations197
Published2012
Admission routes1
Has abstractyes

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