Evidence map›Paper›PMID 39741907›Full record

ArticleFrontiers in genetics2024

Identification and validation the predictive biomarkers based on risk-adjusted control chart in gemcitabine with or without erlotinib for pancreatic cancer therapy.

Aijun Zhao, Dongsheng Tu, Ye He, Liu Liu, Bin Wu, Yixing Ren

Abstract read
In one paragraph

Article in Frontiers in genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Aijun ZhaoSchool of Mathematical Science and Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu, China.
Dongsheng TuDepartment of Public Health Sciences, Canadian Cancer Trials Group, Queen's University, Kingston, ON, Canada.
Ye HeVisual Computing and Virtual Reality Key Laboratory of Sichuan Province, Sichuan Normal University, Chengdu, China.
Liu LiuSchool of Mathematical Science and Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu, China.
Bin WuCollege of Management Science, Chengdu University of Technology, Chengdu, China.
Yixing RenDepartment of General Surgery, Institute of Hepato-Biliary-Pancreas and Intestinal Disease, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.

Funding

NCIC Clinical Trials Group - Canadian Collaborating Clinical Trials NetworkU10CA180863 · NCI · QUEEN'S UNIVERSITY AT KINGSTON · PI Janet Ellen Dancey · 2014 to 2026
$40.4M
NCI NIH HHS U10 CA180863
6 · The paper itself

Abstract

Background: In a randomized clinical controlled trial (PA.3) conducted by the Canadian Cancer Trials Group, the effects of gemcitabine combined with the targeted drug erlotinib (GEM-E) Methods: Of the 569 eligible patients, 480 patients had plasma samples. Univariate and multivariate Cox proportional hazards model were used to identify baseline characteristics related to OS, and a risk adjusted Exponentially Weighted Moving Average (EWMA) control chart based on a weighted score test from the Cox model was constructed to monitor patients' survival risk. Maximally selected rank statistics were constructed to identifying the predictive biomarkers, in addition, a risk adjusted control chart based on a weighted score test from the Cox model was constructed to validating the predictive biomarkers, discover the patients who sensitive to the GEM-E or GEM. Results: Three baseline characteristics (ECOG performance status, extent of disease, and pain intensity) were identified related to prognosis. A risk-adjusted EWMA control chart was constructed and showed that GEM-E did improve OS in a few patients. Three biomarkers (BMP2, CXCL6, and HER2) were identified as predictive biomarkers based on maximum selected rank test, and using the risk-adjusted EWMA control chart to validate the reality and discover some patients who are sensitive to the GEM-E therapy. Conclusion: In reality, GEM-E has not shown a significant advantage over GEM in the treatment of pancreatic cancer. However, we discovered some patients who are sensitive to the GEM-E therapy based on the predictive biomarkers, which suggest that the predictive biomarkers provide ideas for personalized medicine in pancreatic cancer.

Indexed as

COX proportional hazards regression modelpancreatic cancerpredictive biomarkersrisk-adjusted control chartscore test

Identifiers

PMID39741907
PMCPMC11685217

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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.