Evidence map›Paper›PMID 39995512›Full record

ReviewCell insight2025

The promising role of nanopore sequencing in cancer diagnostics and treatment.

Xinming Su, Qingyuan Lin, Bin Liu, Chuntao Zhou, Liuyi Lu, Zihao Lin, Jiahua Si, Yuemin Ding, Shiwei Duan

Abstract readReview
In one paragraph

Review in Cell insight, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

9 authors.

Xinming SuDepartment of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou 310015, Zhejiang, China.
Qingyuan LinThe Second Clinical Medical College, Zhejiang Chinese Medicine University BinJiang College, Hangzhou 310053, Zhejiang, China.
Bin LiuDepartment of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou 310015, Zhejiang, China.
Chuntao ZhouDepartment of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou 310015, Zhejiang, China.
Liuyi LuDepartment of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou 310015, Zhejiang, China.
Zihao LinDepartment of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou 310015, Zhejiang, China.
Jiahua SiDepartment of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou 310015, Zhejiang, China.
Yuemin DingDepartment of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou 310015, Zhejiang, China.
Shiwei DuanDepartment of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou 310015, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer arises from genetic alterations that impact both the genome and transcriptome. The utilization of nanopore sequencing offers a powerful means of detecting these alterations due to its unique capacity for long single-molecule sequencing. In the context of DNA analysis, nanopore sequencing excels in identifying structural variations (SVs), copy number variations (CNVs), gene fusions within SVs, and mutations in specific genes, including those involving DNA modifications and DNA adducts. In the field of RNA research, nanopore sequencing proves invaluable in discerning differentially expressed transcripts, uncovering novel elements linked to transcriptional regulation, and identifying alternative splicing events and RNA modifications at the single-molecule level. Furthermore, nanopore sequencing extends its reach to detecting microorganisms, encompassing bacteria and viruses, that are intricately associated with tumorigenesis and the development of cancer. Consequently, the application prospects of nanopore sequencing in tumor diagnosis and personalized treatment are expansive, encompassing tasks such as tumor identification and classification, the tailoring of treatment strategies, and the screening of prospective patients. In essence, this technology stands poised to unearth novel mechanisms underlying tumorigenesis while providing dependable support for the diagnosis and treatment of cancer.

Indexed as

CancerGenomicsMicrobiomeNanopore sequencingTranscriptomics

Identifiers

PMID39995512
PMCPMC11849079

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.