Evidence map›Paper›PMID 34721535›Full record

ArticleFrontiers in genetics2021

Complex Age- and Cancer-Related Changes in Human Blood Transcriptome-Implications for Pan-Cancer Diagnostics.

Fei Qi, Fan Gao, Ye Cai, Xueer Han, Yao Qi, Jiawen Ni, Jianfeng Sun, Shengquan Huang, Shaohua Chen, Chunlin Wu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

11 authors at 4 institutions in 2 countries.

Fei QiSchool of Medicine, Institute of Genomics, Huaqiao University, Xiamen, China.
Fan GaoSchool of Medicine, Institute of Genomics, Huaqiao University, Xiamen, China.
Ye CaiSchool of Medicine, Institute of Genomics, Huaqiao University, Xiamen, China.
Xueer HanSchool of Medicine, Institute of Genomics, Huaqiao University, Xiamen, China.
Yao QiSchool of Medicine, Institute of Genomics, Huaqiao University, Xiamen, China.
Jiawen NiSchool of Medicine, Institute of Genomics, Huaqiao University, Xiamen, China.
Jianfeng SunDepartment of Bioinformatics, Technische Universität München, Freising, Germany.
Shengquan HuangDepartment of Pathology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Shaohua ChenDepartment of Pathology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Chunlin WuDepartment of Pathology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Philipp KapranovSchool of Medicine, Institute of Genomics, Huaqiao University, Xiamen, China.
Huaqiao University · CNSecond Affiliated Hospital of Fujian Medical University · CNFujian Medical University · CNTechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early cancer detection is the key to a positive clinical outcome. While a number of early diagnostics methods exist in clinics today, they tend to be invasive and limited to a few cancer types. Thus, a clear need exists for non-invasive diagnostics methods that can be used to detect the presence of cancer of any type. Liquid biopsy based on analysis of molecular components of peripheral blood has shown significant promise in such pan-cancer diagnostics; however, existing methods based on this approach require improvements, especially in sensitivity of early-stage cancer detection. The improvement would likely require diagnostics assays based on multiple different types of biomarkers and, thus, calls for identification of novel types of cancer-related biomarkers that can be used in liquid biopsy. Whole-blood transcriptome, especially its non-coding component, represents an obvious yet under-explored biomarker for pan-cancer detection. In this study, we show that whole transcriptome analysis using RNA-seq could indeed serve as a viable biomarker for pan-cancer detection. Furthermore, a class of long non-coding (lnc) RNAs, very long intergenic non-coding (vlinc) RNAs, demonstrated superior performance compared with protein-coding mRNAs. Finally, we show that age and presence of non-blood cancers change transcriptome in similar, yet not identical, directions and explore implications of this observation for pan-cancer diagnostics.

Indexed as

agingbiomarkerliquid biopsylncRNApan-cancerperipheral bloodtranscriptomevlincRNA

Identifiers

PMID34721535
PMCPMC8554330
OpenAlexW3205820500

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Registered trials

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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.