Evidence map›Paper›PMID 22145865›Full record

ArticleCancer science2012

Genomic profiling of renal cell carcinoma in patients with end-stage renal disease.

Toru Inoue, Keiko Matsuura, Taichiro Yoshimoto, Lam Tung Nguyen, Yoshiyuki Tsukamoto, Chisato Nakada, Naoki Hijiya, Takahiro Narimatsu, Takeo Nomura, Fuminori Sato and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Guideline
  2. Review
  3. Article
  4. Renal Cell Carcinoma in End-Stage Renal Disease: A Retrospective Study in Patients from Hungary.Pathobiology : journal of immunopathology, molecular and cellular biology · 2023
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. High risk of development of renal cell tumor in end-stage kidney disease: the role of microenvironment.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  11. Review
  12. Article
  13. Clear cell papillary renal cell carcinoma: a review.International journal of clinical and experimental pathology · 2014
    Review
  14. Renal cell carcinoma: Evolving and emerging subtypes.World journal of clinical cases · 2013
    Review
  15. Article
  16. 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

20 authors at 8 institutions in 1 country.

Toru InoueDepartment of Molecular Pathology, Faculty of Medicine, Oita University, Oita, Japan.
Keiko Matsuura
Taichiro Yoshimoto
Lam Tung Nguyen
Yoshiyuki Tsukamoto
Chisato Nakada
Naoki Hijiya
Takahiro Narimatsu
Takeo Nomura
Fuminori Sato
Yoji Nagashima
Kenji Kashima
Shingo Hatakeyama
Chikara Ohyama
Kazuyuki Numakura
Tomonori Habuchi
Masayuki Nakagawa
Masao Seto
Hiromitsu Mimata
Masatsugu Moriyama
Oita University · JPAkita University · JPHirosaki University · JPAichi Cancer Center · JPKagoshima University · JPMitsui Memorial Hospital · JPOita University Hospital · JPYokohama City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of the present study was to determine the genomic profile of renal cell carcinoma (RCC) in end-stage renal disease (ESRD) by analyzing genomic copy number aberrations. Seventy-nine tumor samples from 63 patients with RCC-ESRD were analyzed by array comparative genomic hybridization using the Agilent Whole Human Genome 4 × 44K Oligo Micro Array (Agilent Technologies Inc., Palo Alto, CA, USA). Unsupervised hierarchical clustering analysis revealed that the 63 cases could be divided into two groups, Clusters A and B. Cluster A was comprised mainly of clear cell RCC (CCRCC), whereas Cluster B was comprised mainly of papillary RCC (PRCC), acquired cystic disease (ACD)-associated RCC, and clear cell papillary RCC. Analysis of the averaged frequencies revealed that the genomic profiles of Clusters A and B resembled those of sporadic CCRCC and sporadic PRCC, respectively. Although it has been proposed on the basis of histopathology that ACD-associated RCC, clear cell papillary RCC and PRCC-ESRD are distinct subtypes, the present data reveal that the genomic profiles of these types, categorized as Cluster B, resemble one another. Furthermore, the genomic profiles of PRCC, ACD-associated RCC and clear cell papillary RCC admixed in one tissue tended to resemble one another. On the basis of genomic profiling of RCC-ESRD, we conclude that the molecular pathogenesis of CCRCC-ESRD resembles that of sporadic CCRCC. Although various histologic subtypes of non-clear cell RCC-ESRD have been proposed, their genomic profiles resemble those of sporadic PRCC, suggesting that the molecular pathogenesis of non-CCRCC-ESRD may be related to that of sporadic PRCC.

Indexed as

Gene Expression ProfilingCarcinoma, Renal CellCluster AnalysisComparative Genomic HybridizationHumansKidney Failure, ChronicKidney NeoplasmsLaser Capture Microdissection

Identifiers

PMID22145865
PMCPMC7713630
OpenAlexW2092146270

What OpenQuestion holds

Textmetadata
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.