Evidence map›Paper›PMID 37724303›Full record

ArticleMedical review (2021)2021

Application of third-generation sequencing in cancer research.

Zhiao Chen, Xianghuo He

Abstract read
In one paragraph

Article in Medical review (2021), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Review
  2. Characteristics of fusion genes in breast cancer.Cancer cell international · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. PacBio Third-Generation Sequencing Reveals anAnnals of laboratory medicine · 2024
    Article
  9. Long-read sequencing for brain tumors.Frontiers in oncology · 2024
    Review
  10. Characterization of a novelFrontiers in immunology · 2024
    Article
  11. 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

2 authors.

Zhiao ChenFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0003-4105-8674
Xianghuo HeFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0001-8872-668X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past several years, nanopore sequencing technology from Oxford Nanopore Technologies (ONT) and single-molecule real-time (SMRT) sequencing technology from Pacific BioSciences (PacBio) have become available to researchers and are currently being tested for cancer research. These methods offer many advantages over most widely used high-throughput short-read sequencing approaches and allow the comprehensive analysis of transcriptomes by identifying full-length splice isoforms and several other posttranscriptional events. In addition, these platforms enable structural variation characterization at a previously unparalleled resolution and direct detection of epigenetic marks in native DNA and RNA. Here, we present a comprehensive summary of important applications of these technologies in cancer research, including the identification of complex structure variants, alternatively spliced isoforms, fusion transcript events, and exogenous RNA. Furthermore, we discuss the impact of the newly developed nanopore direct RNA sequencing (RNA-Seq) approach in advancing epitranscriptome research in cancer. Although the unique challenges still present for these new single-molecule long-read methods, they will unravel many aspects of cancer genome complexity in unprecedented ways and present an encouraging outlook for continued application in an increasing number of different cancer research settings.

Indexed as

alternative splicingapplicationcancer genomeepigenomethird-generation sequencing

Identifiers

PMID37724303
PMCPMC10388785

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.