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[Clinical Characteristics and Treatment Efficacy of Children with SIL/TAL1 Positive T-Cell Acute Lymphoblastic Leukemia].

2016· article· en· W2481179663 on OpenAlexaff
Xiao Liu, Weijing Li, Xiaoxi Zhao, Chao Gao, Wei Zhao, Jiang Jin, Ruidong Zhang, Jing Xie, Huiwen Shi, Bin Wang, Yonghong Zhang, Xiaoli Ma, Xuan Zhou, Min‐Yuan Wu, Lei Cui, Zhigang Li

Bibliographic record

VenuePubMed · 2016
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsMedicineMinimal residual diseaseInternal medicineOncologyPrednisoneLeukemiaGastroenterologyPediatrics

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the clinical features, treatment and prognosis of children with SIL-TAL1 fusion gene positive T-cell acute lymphoblastic leukemia (T-ALL). METHODS: The data of 101 children with T-ALL were collected from April 2005 to November 2012 in Beijing Children's Hospital. The common clinical features, early treatment response, minimal residual disease (MRD), event-free survival (EFS) and relapse-free survival (RFS) were compared between children with SIL-TAL1 positive and negative T-ALL. The treatment efficacy in children with SIL-TAL1 positive T-ALL was compared between BCH-2003 and CCLG-2008 protocol. RESULTS: Out of 101 cases, 22 cases (21.9%) of T-ALL carried SIL-TAL1 fusion gene. The distribution of sex, age, response to prednisone and central nervous system (CNS) involvement were no significant different at diagnosis between SIL-TAL1 positive and negetive patients. However, the WBC count in SIL-TAL1 positive cases were significantly higher than that of SIL-TAL1 negative cases at diagnosis (P<0.05). Additionally, MRD levels were not significantly different between children with SIL-TAL1 positive or negative T-ALL at 3 time points including: after the remission induction therapy, before delayed intensive therapy II and before maintenance therapy. However, the number of cases with high MRD levels before consolidation therapy were more in SIL-TAL1 positive group than that in SIL-TAL1 negative group (P<0.05). The cases with high MRD levels before delayed intensive therapy I was more in SIL-TAL1 negative group than that in the SIL-TAL1 positive group (P>0.05). Besides, there were no significant differences in 5-year EFS and RFS between the two groups. The risk of 22 children with SIL-TAL1 positive acute T-ALL was again stratified according to the typing stemdard in CCLG-2008 protocol, as a result, the risk in BCH-2003 group (10 cases) was significantly higher than that in BCH-2008 group (12 cases) (P<0.05), but no significant difference was found in common clinical features, early treatment response, MRD levels and treatment efficacy. CONCLUSIONS: Although WBC level was significantly higher in SIL-TAL1 positive group than that in SIL-TAL1 negative group, the treatment efficacy in SIL-TAL1 positive group was similar to SIL-TAL1 negative group. Meanwhile, the children with SIL-TAL1+ T-ALL may respond poorly to early intensive therapy, the BCH-2003 protocol may be more suitable for the patients with this subtype of leukemia.

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)0.001
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.264
Teacher spread0.248 · 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".

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Citations4
Published2016
Admission routes1
Has abstractyes

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