Evidence map›Paper›PMID 35326573›Full record

ArticleCancers2022

Distinct and Common Features of Numerical and Structural Chromosomal Instability across Different Cancer Types.

Xiaoxiao Zhang, Maik Kschischo

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Protein Expression Status ofLife (Basel, Switzerland) · 2026
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  3. Review
  4. Article
  5. Article
  6. Article
  7. The Digital World of Cytogenetic and Cytogenomic Web Resources.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  8. The New Era of Cancer Cytogenetics and Cytogenomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
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 at 1 institution in 1 country.

Xiaoxiao ZhangDepartment of Mathematics and Technology, University of Applied Sciences Koblenz, 53424 Remagen, Germany.ORCID 0000-0001-6854-3675
Maik KschischoDepartment of Mathematics and Technology, University of Applied Sciences Koblenz, 53424 Remagen, Germany.ORCID 0000-0003-3977-9982
Koblenz University of Applied Sciences · DE

Funding

Deutsche Forschungsgemeinschaft FOR2800
6 · The paper itself

Abstract

A large proportion of tumours is characterised by numerical or structural chromosomal instability (CIN), defined as an increased rate of gaining or losing whole chromosomes (W-CIN) or of accumulating structural aberrations (S-CIN). Both W-CIN and S-CIN are associated with tumourigenesis, cancer progression, treatment resistance and clinical outcome. Although W-CIN and S-CIN can co-occur, they are initiated by different molecular events. By analysing tumour genomic data from 33 cancer types, we show that the majority of tumours with high levels of W-CIN underwent whole genome doubling, whereas S-CIN levels are strongly associated with homologous recombination deficiency. Both CIN phenotypes are prognostic in several cancer types. Most drugs are less efficient in high-CIN cell lines, but we also report compounds and drugs which should be investigated as targets for W-CIN or S-CIN. By analysing associations between CIN and bio-molecular entities with pathway and gene expression levels, we complement gene signatures of CIN and report that the drug resistance gene

Indexed as

integrative analysisPI3K oncogenic activationstructural chromosomal instabilitywhole chromosomal instabilitywhole genome doubling

Identifiers

PMID35326573
PMCPMC8946057
OpenAlexW4225709932

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.