Evidence map›Paper›PMID 29712681›Full record

ReviewCold Spring Harbor perspectives in medicine2019

The Genomics of Prostate Cancer: A Historic Perspective.

Mark A Rubin, Francesca Demichelis

Abstract readHistorical ArticleReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2019. 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
–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

13 citing papers in PubMed.

  1. Article
  2. Deep Sequencing Reveals Novel Mutations inInternational journal of molecular sciences · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Hereditary Prostate Cancer: Genes Related, Target Therapy and Prevention.International journal of molecular sciences · 2021
    Review
  10. Review
  11. Review
  12. Article
  13. 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.

Mark A RubinEnglander Institute for Precision Medicine, Weill Cornell Medical College-New York Presbyterian Hospital, New York, New York 10065.
Francesca DemichelisEnglander Institute for Precision Medicine, Weill Cornell Medical College-New York Presbyterian Hospital, New York, New York 10065.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genomics of prostate cancer (PCA) has been difficult to study compared with some other cancer types for a multitude of reasons, despite significant efforts since the early 1980s. Overcoming some of these obstacles has paved the way for greater insight into the genomics of PCA. The advent of high-throughput technologies coming from the initial use of microsatellite and oligonucleotide probes gave rise to techniques like comparative genomic hybridization (CGH). With the introduction of massively parallel genomic sequencing, referred to as next-generation sequencing (NGS), a deeper understanding of cancer genomics in general has occurred. Along with these technologic advances, there has been the development of computational biology and statistical approaches to address novel large data sets characterized by single base resolution. This review will provide a historic perspective of PCA genomics with an emphasis on the cardinal mutations and alterations observed to be consistently seen in PCA for both hormone-naïve localized PCA and castration-resistant prostate cancer (CRPC). There will be a focus on alterations that have the greatest potential to play a role in disease progression and therapy management.

Indexed as

Computational BiologyDNA Copy Number VariationsDrug Resistance, NeoplasmGene FusionGene RearrangementGenomicsHigh-Throughput Nucleotide SequencingHistory, 20th CenturyHistory, 21st CenturyHumansMaleMicrosatellite RepeatsNeoplasm ProteinsPolymorphism, Restriction Fragment LengthProstatic NeoplasmsNeoplasm Proteins

Identifiers

PMID29712681
PMCPMC6396342

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.