Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02328677 (ColoCare Transdisciplinary Research in Colorectal Cancer Prognosis), which is not on this map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 42% 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.
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
13 authors at 3 institutions in 2 countries.
Heike DeutelmoserDivision of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.ORCID 0000-0001-5633-1472
Justo Lorenzo BermejoInstitute of Medical Biometry and Informatics, Medical Faculty, Heidelberg University, Im Neuenheimer Feld 130.3, 69120 Heidelberg, Germany.
Axel BennerDivision of Biostatistics, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69121 Heidelberg, Germany.
Korbinian WeiglDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69121 Heidelberg, Germany.
Hanla A ParkDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69121 Heidelberg, Germany.
Mariam HaffaDivision of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.
Esther HerpelNCT Tissue Bank, National Center for Tumor Diseases (NCT) and University Hospital Heidelberg, Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.
Martin SchneiderDepartment of General, Visceral, and Transplantation Surgery, University Hospital Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany.
Cornelia M UlrichDivision of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.ORCID 0000-0001-7641-059X
Michael HoffmeisterDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69121 Heidelberg, Germany.ORCID 0000-0002-8307-3197
Jenny Chang-ClaudeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69121 Heidelberg, Germany.ORCID 0000-0001-8919-1971
Hermann BrennerDivision of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.ORCID 0000-0002-6129-1572
Dominique SchererDivision of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.ORCID 0000-0003-4430-296X
German Cancer Research Center · DEHeidelberg University · DEUniversität Hamburg · DE
Funding
UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI KATHARINE S ULLMAN · 1986 to 2026
$72.6M
Transdisciplinary Team Science in Colorectal Cancer Prognosis: the ColoCare StudyU01CA206110 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jane C. Figueiredo, Christopher I Li · 2016 to 2026
$18.6M
Discovery and verification of novel biomarkers of colorectal cancer recurrenceR01CA189184 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI LI, CHRISTOPHER I, ULRICH, CORNELIA M · 2015 to 2020
$5.6M
Metabolomic Strategies for Discovery and Validation of Biomarkers of Colorectal Cancer RecurrenceR01CA207371 · NCI · UNIVERSITY OF UTAH · PI LI, CHRISTOPHER I, ULRICH, CORNELIA M · 2017 to 2022
$3.9M
Bundesministerium für Bildung und Forschung 01ER1505BBundesministerium für Bildung und Forschung 01KT1510Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NCI NIH HHS R01 CA207371NCI NIH HHS U01 CA206110NIH HHS P30 CA042014NIH HHS R01 CA189184NIH HHS R01 CA207371NIH HHS U01 CA206110
6 · The paper itself
Abstract
Colorectal cancer (CRC) survival has environmental and inherited components. The expression of specific genes can be inferred based on individual genotypes-so called expression quantitative trait loci. In this study, we used the PrediXcan method to predict gene expression in normal colon tissue using individual genotype data from 91 CRC patients and examined the correlation ρ between predicted and measured gene expression levels. Out of 5434 predicted genes, 58% showed a negative ρ value and only 16% presented a ρ higher than 0.10. We subsequently investigated the association between genotype-based gene expression in colon tissue for genes with ρ > 0.10 and survival of 4436 CRC patients. We identified an inverse association between the predicted expression of
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.
Genotype-Based Gene Expression in Colon Tissue-Prediction Accuracy and Relationship with the Prognosis of Colorectal Cancer Patients. · full record | OpenQuestion