Evidence map›Paper›PMID 33407103›Full record

ArticleBMC genomics2021

Unbiased RNA-Seq-driven identification and validation of reference genes for quantitative RT-PCR analyses of pooled cancer exosomes.

Yao Dai, Yumeng Cao, Jens Köhler, Aiping Lu, Shaohua Xu, Haiyun Wang

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  17. IMP1/IGF2BP1 in human colorectal cancer extracellular vesicles.American journal of physiology. Gastrointestinal and liver physiology · 2022
    Article
  18. Review
  19. Article
  20. Oncology letters · 2021
    Article
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

6 authors at 2 institutions in 2 countries.

Yao DaiDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
Yumeng CaoDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
Jens KöhlerDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Aiping LuDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
Shaohua XuDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China. xushaohua@tongji.edu.cn.
Haiyun WangDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China. wanghaiyun@tongji.edu.cn.
Shanghai First Maternity and Infant Hospital · CNDana-Farber Cancer Institute · US

Funding

Mildred-Scheel post-doctoral fellowship of the German Cancer Aid Foundation 70111755National Key Research and Development Program (CN) 2017YFC0908500National Natural Science Foundation of China 31571363National Natural Science Foundation of China 31771469National Natural Science Foundation of China 81772762Natural Science Foundation of Shanghai 19ZR1461600
6 · The paper itself

Abstract

backgroundExosomes are extracellular vesicles (EVs) derived from endocytic compartments of eukaryotic cells which contain various biomolecules like mRNAs or miRNAs. Exosomes influence the biologic behaviour and progression of malignancies and are promising candidates as non-invasive diagnostic biomarkers or as targets for therapeutic interventions. Usually, quantitative real-time polymerase chain reaction (qRT-PCR) is used to assess gene expression in cancer exosomes, however, the ideal reference genes for normalization yet remain to be identified.

resultsIn this study, we performed an unbiased analysis of high-throughput mRNA and miRNA-sequencing data from exosomes of patients with various cancer types and identify candidate reference genes and miRNAs in cancer exosomes. The expression stability of these candidate reference genes was evaluated by the coefficient of variation "CV" and the average expression stability value "M". We subsequently validated these candidate reference genes in exosomes from an independent cohort of ovarian cancer patients and healthy control individuals by qRT-PCR.

conclusionsOur study identifies OAZ1 and hsa-miR-6835-3p as the most reliable individual reference genes for mRNA and miRNA quantification, respectively. For superior accuracy, we recommend the use of a combination of reference genes - OAZ1/SERF2/MPP1 for mRNA and hsa-miR-6835-3p/hsa-miR-4468-3p for miRNA analyses.

Indexed as

ExosomesMicroRNAsNeoplasmsHumansIntracellular Signaling Peptides and ProteinsReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRNA-SeqIntracellular Signaling Peptides and ProteinsMicroRNAsSERF2 protein, humanCancer exosomemiRNA-SeqqRT-PCRReference geneRNA-Seq

Identifiers

PMID33407103
PMCPMC7789813
OpenAlexW3113215081

What OpenQuestion holds

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LicenceCC BY
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.