MétaCan
Menu
← Back to cohort

Expanding Spectrum of Malignancies in ALPS: A Cancer Predisposing Syndrome?.

2012· article· en· W2588373857 on OpenAlexaff
Katie Perkins, Joie Davis, Susan Price, Julie E. Niemela, Andreas Huber, Donna A. Wall, Stefania Pittaluga, Thomas A. Fleisher, V. Koneti Rao

Bibliographic record

VenueBlood · 2012
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineCancerCohortLymphomaOncologyInternal medicineImmunology

Abstract

fetched live from OpenAlex

Abstract Abstract 2149 Background: Autoimmune lymphoproliferative syndrome (ALPS) is a disorder of apoptosis characterized by lymphadenopathy, splenomegaly and peripheral accumulation of TCR αβ+ CD4-/CD8- double-negative T lymphocytes (DNT cells), often leading to multilineage cytopenias. ALPS-FAS with germline FAS mutations is the most common form of ALPS and has been associated with an increased risk for lymphoma (Straus, Blood 2001). We have now identified additional malignancies in our cohort, further underscoring the importance of cancer surveillance in ALPS patients. Objective: This is an update of the ALPS-associated cancers within the NIH cohort consisting of 240 individuals with ALPS-FAS from 116 families and 106 patients with ALPS-U (undetermined genetic defect). Patients and demographics: We previously reported 11 patients in our ALPS cohort with Hodgkin lymphoma (HL) and 9 patients with B cell Non-Hodgkin lymphoma (NHL)(Rao and Oliveira, Blood 2011). Here we report 6 additional types of malignancies associated with ALPS in 5 patients. Four of these patients have an intracellular FAS mutation. The frequency of malignancies within our ALPS cohort is 7.2% (25/346 patients) with a male:female gender distribution of 20:5. The age at the time of cancer diagnosis ranged from 5 to 60 years (median 22years). Results: As outlined in the Table below, ALPS-FAS patient #45.2 developed squamous cell carcinoma of the tongue that eventually led to his death from complications. His son also had ALPS-FAS with lymphoma. ALPS-FAS patient # 197.1 developed testicular cancer with malignant mixed germ cell tumor with seminoma and embryonal carcinoma elements. Marked leukocytosis during the first cycle of BEP chemotherapy led to a diagnosis of chronic myelogenous leukemia (CML) based on detecting a BCR-ABL translocation by PCR in peripheral blood and bone marrow. A patient with ALPS-FAS who previously had lymphoma developed histiocytic sarcoma and died following failed alloBMT. ALPS-FAS patient #121.13 developed acinic tumor of the parotid gland. A patient with ALPS-U (i.e. undetermined genetic defect) developed Ph+ acute lymphoblastic leukemia treated with an allogenic matched unrelated donor stem cell transplant and he is currently doing well. Conclusion: Although lymphoma continues to be the most common type of malignancy seen in ALPS patients, we have observed additional types of cancers in this population suggesting a broader cancer predisposition than previously thought. While none of these additional cancers, except for squamous cell carcinoma, have been previously associated with somatic FAS mutation in the Catalogue of Somatic Mutations in Cancer (http://cancer.sanger.ac.uk/cancergenome/projects/cosmic/), germline mutations affecting the intracellular component of the Fas protein confer a greater risk for developing malignancy as 22 malignancies were noted among 200 ALPS-FAS patients with such intracellular mutations. While this limited sample size does not allow us to definitively associate these cancers with ALPS, our findings highlight the need for active cancer surveillance in ALPS patients. Moreover, ALPS should be suspected in patients with sporadic lymphomas and other cancers that have a pertinent clinical and family history of cytopenias, hypersplenism and lymphoproliferation. Disclosures: No relevant conflicts of interest to declare.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.018
GPT teacher head0.278
Teacher spread0.261 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicLymphoma Diagnosis and Treatment→French-language works237,207→