Evidence map›Paper›PMID 27694978›Full record

ReviewNature reviews. Nephrology2016

Precision medicine from the renal cancer genome.

Yasser Riazalhosseini, Mark Lathrop

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
–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

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The microbiota and renal cell carcinoma.Cellular oncology (Dordrecht, Netherlands) · 2024
    Review
  10. Article
  11. Article
  12. Application of Genomic Sequencing to Refine Patient Stratification for Adjuvant Therapy in Renal Cell Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Loss of Von Hippel-Lindau (International journal of molecular sciences · 2021
    Review
  20. 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

2 authors.

Yasser RiazalhosseiniDepartment of Human Genetics, McGill University, 1205 Doctor Penfield Avenue, Montreal, QC, H3A 1B1, Canada.
Mark LathropDepartment of Human Genetics, McGill University, 1205 Doctor Penfield Avenue, Montreal, QC, H3A 1B1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomics is revolutionizing our understanding of the molecular basis of renal cell carcinoma (RCC). The advent of unbiased genome-wide association studies has led to the discovery of previously unrecognized genetic predisposing factors that impact an individual's risk of developing RCC. Moreover, large-scale investigations of somatic alterations of the genomic and transcriptomic landscapes in tumours using next-generation sequencing technology have revealed new information on the molecular pathways that are characteristically disrupted in various RCC subtypes. Sequencing studies have revealed that epigenetic machinery and chromatin remodelling complexes are disrupted in >80% of clear cell RCC tumours, the most common form of the disease. The growing knowledge of subtype-specific molecular abnormalities arising from genomics has opened new avenues towards the development of molecular diagnostics for RCC subtypes, and for the rational design of therapeutic approaches tailored to patients based on the molecular profiles of their tumours. Genomic studies have also pinpointed a possible role of environmental exposure to aristolochic acid, a nephrotoxin, in the genesis of the disease in some regions of central Europe. In this Review, we discuss the impact of genomics in identifying the genes and environmental exposures involved in disease susceptibility, and in discovering the molecular pathways that are disrupted somatically in different RCC subtypes. Further, we explore the possibilities provided by this genomic knowledge in providing a precision medicine approach for diagnosing and treating RCC.

Indexed as

GenomePrecision MedicineCarcinoma, Renal CellHumansKidney NeoplasmsMutation

Identifiers

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.