Evidence map›Paper›PMID 38317080›Full record

ArticleBMC cancer2024

Genome-wide quantification of copy-number aberration impact on gene expression in ovarian high-grade serous carcinoma.

Sanaz Jamalzadeh, Jun Dai, Kari Lavikka, Yilin Li, Jing Jiang, Kaisa Huhtinen, Anni Virtanen, Jaana Oikkonen, Sakari Hietanen, Johanna Hynninen and 3 more

Abstract read
In one paragraph

Article in BMC cancer, 2024. 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. Trial
  2. Review
  3. Article
  4. Single-cell and bulk transcriptome analysis reveals the impact of inflammatory microglia on prognosis and immunotherapy response in primary glioblastoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  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

13 authors.

Sanaz JamalzadehResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Jun DaiResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Kari LavikkaResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Yilin LiResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Jing JiangResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Kaisa HuhtinenResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Anni VirtanenDepartment of Pathology, University of Helsinki and HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland.
Jaana OikkonenResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Sakari HietanenDepartment of Obstetrics and Gynecology, University of Turku and Turku University Hospital, Turku, Finland.
Johanna HynninenDepartment of Obstetrics and Gynecology, University of Turku and Turku University Hospital, Turku, Finland.
Anna VähärautioResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Antti HäkkinenResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland. antti.hakkinen@childrens.harvard.edu.
Sampsa HautaniemiResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland. sampsa.hautaniemi@helsinki.fi.

Funding

ERA PerMed JTC2020 344697Horizon 2020 Framework Programme,European Union 965193
6 · The paper itself

Abstract

Copy-number alterations (CNAs) are a hallmark of cancer and can regulate cancer cell states via altered gene expression values. Herein, we have developed a copy-number impact (CNI) analysis method that quantifies the degree to which a gene expression value is impacted by CNAs and leveraged this analysis at the pathway level. Our results show that a high CNA is not necessarily reflected at the gene expression level, and our method is capable of detecting genes and pathways whose activity is strongly influenced by CNAs. Furthermore, the CNI analysis enables unbiased categorization of CNA categories, such as deletions and amplifications. We identified six CNI-driven pathways associated with poor treatment response in ovarian high-grade serous carcinoma (HGSC), which we found to be the most CNA-driven cancer across 14 cancer types. The key driver in most of these pathways was amplified wild-type KRAS, which we validated functionally using CRISPR modulation. Our results suggest that wild-type KRAS amplification is a driver of chemotherapy resistance in HGSC and may serve as a potential treatment target.

Indexed as

CarcinomaOvarian NeoplasmsDNA Copy Number VariationsFemaleGene ExpressionGenomeHumansProto-Oncogene Proteins p21(ras)Proto-Oncogene Proteins p21(ras)Copy-number alterationsData integrationDrug resistanceGene expressionKRASOvarian cancerPathway analysisStatistical modeling

Identifiers

PMID38317080
PMCPMC10840274

What OpenQuestion holds

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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.