Evidence map›Paper›PMID 32328458›Full record

ReviewFrontiers in oncology2020

Changing Technologies of RNA Sequencing and Their Applications in Clinical Oncology.

Ye Wang, Michael Mashock, Zhuang Tong, Xiaofeng Mu, Hong Chen, Xin Zhou, Hong Zhang, Gexin Zhao, Bin Liu, Xinmin Li

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

71 citing papers in PubMed, 1 synthesis or guideline pooled it.

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11 more citing papers are in PubMed but not listed here.

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

10 authors.

Ye WangClinical Laboratory, Qingdao Central Hospital, The Second Affiliated Hospital of Medical College of Qingdao University, Qingdao, China.
Michael MashockDepartment of Pathology & Laboratory Medicine, UCLA Technology Center for Genomics & Bioinformatics, Los Angeles, CA, United States.
Zhuang TongCancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China.
Xiaofeng MuClinical Laboratory, Qingdao Central Hospital, The Second Affiliated Hospital of Medical College of Qingdao University, Qingdao, China.
Hong ChenQiqihaer First Hospital, Qiqihar, China.
Xin ZhouQiqihaer First Hospital, Qiqihar, China.
Hong ZhangDepartment of Pathology & Laboratory Medicine, UCLA Technology Center for Genomics & Bioinformatics, Los Angeles, CA, United States.
Gexin ZhaoDepartment of Pathology & Laboratory Medicine, UCLA Technology Center for Genomics & Bioinformatics, Los Angeles, CA, United States.
Bin LiuCancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China.
Xinmin LiDepartment of Pathology & Laboratory Medicine, UCLA Technology Center for Genomics & Bioinformatics, Los Angeles, CA, United States.

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
NCI NIH HHS P30 CA016042
6 · The paper itself

Abstract

RNA sequencing (RNAseq) is one of the most commonly used techniques in life sciences, and has been widely used in cancer research, drug development, and cancer diagnosis and prognosis. Driven by various biological and technical questions, the techniques of RNAseq have progressed rapidly from bulk RNAseq, laser-captured micro-dissected RNAseq, and single-cell RNAseq to digital spatial RNA profiling, spatial transcriptomics, and direct

Indexed as

bulk RNAseqdigital spatial profilingfourth-generation RNAseqLCM-RNAseqnext generation sequencingRNA sequencingsingle-cell RNAseqspatial transcriptomics

Identifiers

PMID32328458
PMCPMC7160325

What OpenQuestion holds

Textmetadata
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.