Evidence map›Paper›PMID 34257714›Full record

ArticleExperimental and therapeutic medicine2021

Clinical impact of copy number variation changes in bladder cancer samples.

Victoria Spasova, Boris Mladenov, Simeon Rangelov, Zora Hammoudeh, Desislava Nesheva, Dimitar Serbezov, Rada Staneva, Savina Hadjidekova, Mihail Ganev, Lubomir Balabanski and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 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
1.0field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. SSLCNV: A Semi-supervised Learning Framework for Accurate Copy Number Variation Detection.Interdisciplinary sciences, computational life sciences · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. 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

14 authors at 3 institutions in 1 country.

Victoria SpasovaDepartment of Medical Genetics, Medical University-Sofia, 1431 Sofia, Bulgaria.
Boris MladenovDepartment of Urology, UMBALSM N.I. Pirogov, 1606 Sofia, Bulgaria.
Simeon RangelovDepartment of Urology, Tsaritsa Yoanna University Hospital, 1527 Sofia, Bulgaria.
Zora HammoudehDepartment of Medical Genetics, Medical University-Sofia, 1431 Sofia, Bulgaria.
Desislava NeshevaDepartment of Medical Genetics, Medical University-Sofia, 1431 Sofia, Bulgaria.
Dimitar SerbezovDepartment of Medical Genetics, Medical University-Sofia, 1431 Sofia, Bulgaria.
Rada StanevaDepartment of Medical Genetics, Medical University-Sofia, 1431 Sofia, Bulgaria.
Savina HadjidekovaDepartment of Medical Genetics, Medical University-Sofia, 1431 Sofia, Bulgaria.
Mihail GanevDepartment of Medical Genetics, Medical University-Sofia, 1431 Sofia, Bulgaria.
Lubomir BalabanskiDepartment of Medical Genetics, Medical University-Sofia, 1431 Sofia, Bulgaria.
Radoslava VazharovaMedical Genetics Laboratory, GARH Malinov, 1680 Sofia, Bulgaria.
Chavdar SlavovDepartment of Urology, Tsaritsa Yoanna University Hospital, 1527 Sofia, Bulgaria.
Draga TonchevaDepartment of Medical Genetics, Medical University-Sofia, 1431 Sofia, Bulgaria.
Olga AntonovaDepartment of Medical Genetics, Medical University-Sofia, 1431 Sofia, Bulgaria.
Medical University of Sofia · BGQueen Giovanna Hospital · BGNational Institute of Emergency Medicine "Pirogov" · BG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to detect copy number variations (CNVs) related to tumour progression and metastasis of urothelial carcinoma through whole-genome scanning. A total of 30 bladder cancer samples staged from pTa to pT4 were included in the study. DNA was extracted from freshly frozen tissue via standard phenol-chloroform extraction and CNV analysis was performed on two alternative platforms (CytoChip Oligo aCGH, 4x44K and Infinium OncoArray-500K BeadChip; Illumina, Inc.). Data were analysed with BlueFuse Multi software and Karyostudio, respectively. The results highlight the role of genomic imbalances in regions containing genes with metastatic and proliferative potential for tumour invasion. A high level of genomic instability in uroepithelial tumours was observed and a total of 524 aberrations, including 175 losses and 349 gains, were identified. The most prevalent genetic imbalances affected the following regions: 1p, 1q, 2q, 4p, 4q, 5p, 5q, 6p, 6q, 7q, 8q, 9p, 9q, 10p, 10q, 11q, 13q and 17q. High-grade tumours more frequently harboured genomic imbalances (n=227) than low-grade tumours (n=103). A total of 36 CNVs in high-grade bladder tumours were detected in chromosomes 1-5, 8-11, 14, 17, 19 and 20. Furthermore, five loss of heterozygosity variants containing 176 genes were observed in high-grade bladder cancer and may be used as potential targets for precision therapy. Revealing specific chromosomal regions related to the metastatic potential of uroepithelial tumours may lay a foundation for implementing molecular CNV profiling of bladder tumours as part of a routine progression risk estimation strategy, thus expanding the personalized therapeutic approach.

Indexed as

bladdercancercopy number variationsinvasionloss of heterozygositymetastasis

Identifiers

PMID34257714
PMCPMC8243332
OpenAlexW3175366934

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.