Evidence map›Paper›PMID 35837331›Full record

ReviewFrontiers in cell and developmental biology2022

Cancer Risk and Mutational Patterns Following Organ Transplantation.

Yangyang Shen, Di Lian, Kai Shi, Yuefeng Gao, Xiaoxiang Hu, Kun Yu, Qian Zhao, Chungang Feng

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2022. 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
0.5field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Epitope-based precision immunotherapy of Type 1 diabetes.Human vaccines & immunotherapeutics · 2023
    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

8 authors at 3 institutions in 1 country.

Yangyang ShenCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
Di LianState Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, China.
Kai ShiCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
Yuefeng GaoCollege of Applied Engineering, Henan University of Science and Technology, Sanmenxia, China.
Xiaoxiang HuState Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, China.
Kun YuCollege of Animal Science and Technology, China Agricultural University, Beijing, China.
Qian ZhaoCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
Chungang FengCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
Nanjing Agricultural University · CNChina Agricultural University · CNHenan University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid development of medical technology and widespread application of immunosuppressive drugs have improved the success rate of organ transplantation significantly. However, the use of immunosuppressive agents increases the frequency of malignancy greatly. With the prospect of "precision medicine" for tumors and development of next-generation sequencing technology, more attention has been paid to the application of high-throughput sequencing technology in clinical oncology research, which is mainly applied to the early diagnosis of tumors and analysis of tumor-related genes. All generations of cancers carry somatic mutations, meanwhile, significant differences were observed in mutational signatures across tumors. Systematic sequencing of cancer genomes from patients after organ transplantation can reveal DNA damage and repair processes in exposed cancer cells and their precursors. In this review, we summarize the application of high-throughput sequencing and organoids in the field of organ transplantation, the mutational patterns of cancer genomes, and propose a new research strategy for understanding the mechanism of cancer following organ transplantation.

Indexed as

cancermutational patternsnext-generation sequencing technologyorganoidsorgan transplantation

Identifiers

PMID35837331
PMCPMC9274140
OpenAlexW4283660996

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.