Evidence map›Paper›PMID 25472672›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2014

Effects of preanalytic variables on circulating microRNAs in whole blood.

Hua Zhao, Jie Shen, Qiang Hu, Warren Davis, Leonardo Medico, Dan Wang, Li Yan, Yuqing Guo, Biao Liu, Maochun Qin and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

14 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
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  11. Circular RNA maps paving the road to biomarker development?Journal of molecular medicine (Berlin, Germany) · 2017
    Article
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  13. Review
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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

15 authors at 1 institution in 1 country.

Hua ZhaoDepartment of Epidemiology, the University of Texas MD Anderson Cancer Center, Houston, Texas. hzhao2@mdanderson.org song.liu@roswellpark.org christine.ambrosone@roswellpark.org.
Jie ShenDepartment of Epidemiology, the University of Texas MD Anderson Cancer Center, Houston, Texas.
Qiang HuDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York. School of Basic Medicine, Peking Union Medical College, Beijing, PR China.
Warren DavisDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York.
Leonardo MedicoDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York.
Dan WangDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York.
Li YanDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York.
Yuqing GuoDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York.
Biao LiuDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York.
Maochun QinDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York.
Mary NeslineDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York.
Qianqian ZhuDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York.
Song YaoDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York.
Christine B AmbrosoneDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York. hzhao2@mdanderson.org song.liu@roswellpark.org christine.ambrosone@roswellpark.org.
Song LiuDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York. hzhao2@mdanderson.org song.liu@roswellpark.org christine.ambrosone@roswellpark.org.
Roswell Park Comprehensive Cancer Center · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MARK G FRATTINI · 1985 to 2026
$116.6M
MIcroRNA: A Novel Genetic Modifier for Breast Cancer PredispositionR01CA136483 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ZHAO, HUA · 2009 to 2012
$2.2M
Mitochondrial: A Novel genetic modifier for breast cancer risk in Caucasian and AR21CA139201 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ZHAO, HUA · 2010 to 2011
$341k
Sequencing to Identify Novel Breast Cancer Risk Factors in African American WomenR21CA162218 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI LIU, SONG, ZHAO, HUA · 2011 to 2012
$323k
Mitochondrial DNA heteroplasmy and breast cancer riskR03CA162131 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHEN, JIE, ZHAO, HUA · 2012 to 2013
$153k
NCI NIH HHS 5R03CA162131NCI NIH HHS 5R21CA162218NCI NIH HHS 7R01CA136483NCI NIH HHS 7R21CA139201NCI NIH HHS P30 CA016056NCI NIH HHS P30CA016056NCI NIH HHS R01 CA136483NCI NIH HHS R03 CA162131NCI NIH HHS R21 CA139201NCI NIH HHS R21 CA162218
6 · The paper itself

Abstract

Research in the last decade suggests the clinical potential of circulating microRNAs in whole blood as biomarkers for cancer detection. However, before applying the identified circulating microRNAs clinically, biospecimen-focused research has to be performed to identify possible preanalytic variables that may significantly affect the levels of circulating microRNAs. In this study, using a unique resource of the Data Bank and BioRepository (DBBR) at Roswell Park Cancer Institute, we conducted a two-step analysis to identify internal control circulating microRNAs in whole blood and then to study how selected major preanalytic variables (namely, processing delay, storage condition, storage time, and freeze/thaw cycles) might affect the detection of circulating microRNAs. In the discovery phase of the first step, we identified three microRNAs, including miR346, miR134, and miR934, whose levels exhibited the smallest variation between the case-control groups, as well as within each group interindividually. In the further validation analysis, the consistency was validated for miR346 and miR134 but not for miR934. At the second step, using miR346 and miR134 as internal controls, we observed that as the numbers of freeze/thaw cycles increased, levels of both miR346 and miR134 were significantly decreased (Ptrend < 0.0001); varying other processing and storage conditions did not affect miRNA levels. In the paralleled analysis in plasma samples, levels of miR16 were significantly decreased by increasing processing delay and increasing numbers of freeze/thaw cycles but not affected by storage condition and duration. The results from this study highlight the necessity of biospecimen-focused research on circulating microRNAs before clinical utilization. See all the articles in this CEBP Focus section, "Biomarkers, Biospecimens, and New Technologies in Molecular Epidemiology."

Indexed as

BiomarkersCohort StudiesFemaleHumansMaleMicroRNAsBiomarkersMicroRNAs

Identifiers

PMID25472672
PMCPMC4256719
OpenAlexW2012132562

What OpenQuestion holds

Textmetadata
LicenceTDM
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.