Trial reportHaematologica2014
Impact of promoter polymorphisms in key regulators of the intrinsic apoptosis pathway on the outcome of childhood acute lymphoblastic leukemia.
Trial report in Haematologica, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Multivariable genome-wide analysis elucidates the shared genetic architecture, immunosenescence features, and gut-origin therapeutic targets of ulcerative colitis-associated multisystem inflammation.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Pathogen-driven nucleotide overload triggers mitochondria-centered cell death in phagocytes.PLoS pathogens · 2023Article
- A small molecule 20C from Gastrodia elata inhibits α-synuclein aggregation and prevents progression of Parkinson's disease.Cell death & disease · 2023Article
- Dodging the bullet: therapeutic resistance mechanisms in pediatric cancers.Cancer drug resistance (Alhambra, Calif.) · 2019Review
- Article
- Bim polymorphisms: influence on function and response to treatment in children with acute lymphoblastic leukemia.Clinical cancer research : an official journal of the American Association for Cancer Research · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 5 institutions in 2 countries.
Funding
Abstract
The introduction of multiagent treatment protocols has led to a remarkable increase in survival rates for children diagnosed with acute lymphoblastic leukemia, yet for a subpopulation of patients, resistance to chemotherapeutics remains an obstacle to successful treatment. Here we investigate the role of the mitochondrial (or intrinsic) apoptosis pathway in modulating the onset and outcomes of childhood acute lymphoblastic leukemia. Cell death is a highly regulated process that plays an essential role in regulating cell homeostasis, particularly in tissues with high intrinsic proliferating capacity such as the hematopoietic system. Following the underlying paradigm that cis-acting genetic variation can influence disease risk and outcomes by modulating gene expression, we performed a systematic analysis of the proximal promoter regions of 21 genes involved in apoptosis. Using gene reporter assays, we show that promoter variations in 11 intrinsic apoptosis genes, including ADPRT, APAF1, BCL2, BAD, BID, MCL1, BIRC4, BCL2L1, ENDOG, YWHAB, and YWHAQ, influence promoter activity in an allele-specific manner. We also show that correlated promoter variation and increased expression of MCL1 is associated with reduced overall survival among high-risk patients receiving higher doses of corticosteroid, suggesting that increased expression of this anti-apoptosis gene could lead to reduced cell death and influence treatment response in a disease- and dose-responsive manner.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.