Evidence map›Paper›PMID 26175952›Full record

ArticleAmerican journal of cancer research2015

Apoptosis pathway signature for prediction of treatment response and clinical outcome in childhood high risk B-Precursor acute lymphoblastic leukemia.

Ya-Hsuan Chang, Yung-Li Yang, Chung-Ming Chen, Hsuan-Yu Chen

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 22% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Ya-Hsuan ChangInstitute of Biomedical Engineering, National Taiwan University No1, Sec. 1, Jen-Ai Rd, Taipei 100, Taiwan.
Yung-Li YangDepartment of Pediatrics, National Taiwan University Hospital and College of Medicine, National Taiwan University 1 Jen-Ai Road, Section 1, Taipei, Taiwan ; Department of Laboratory Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University 1 Jen-Ai Road, Section 1, Taipei, Taiwan.
Chung-Ming ChenInstitute of Biomedical Engineering, National Taiwan University No1, Sec. 1, Jen-Ai Rd, Taipei 100, Taiwan.
Hsuan-Yu ChenInstitute of Statistical Science, Academia Sinica 128 Academia Road, Section 2, Nankang, Taipei, Taiwan.
Institute of Statistical Science, Academia Sinica · TWNational Taiwan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most common cancer in children is acute lymphoblastic leukemia (ALL) and it had high cure rate, especially for B-precursor ALL. However, relapse due to drug resistance and overdose treatment reach the limitations in patient managements. In this study, integration of gene expression microarray data, logistic regression, analysis of microarray (SAM) method, and gene set analysis were performed to discover treatment response associated pathway-based signatures in the original cohort. Results showed that 3772 probes were significantly associated with treatment response. After pathway analysis, only apoptosis pathway had significant association with treatment response. Apoptosis pathway signature (APS) derived from 15 significantly expressed genes had 88% accuracy for treatment response prediction. The APS was further validated in two independent cohorts. Results also showed that APS was significantly associated with induction failure time (adjusted hazard ratio [HR] = 1.60, 95% confidence interval [CI] = [1.13, 2.27]) in the first cohort and significantly associated with event-free survival (adjusted HR = 1.56, 95% CI = [1.13, 2.16]) or overall survival in the second cohort (adjusted HR = 1.74, 95% CI = [1.24, 2.45]). APS not only can predict clinical outcome, but also provide molecular guidance of patient management.

Indexed as

Acute lymphoblastic leukemiaapoptosisgene signatureprediction and clinical outcome

Identifiers

PMID26175952
PMCPMC4497450
OpenAlexW2414468623

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.