Evidence map›Paper›PMID 35582724›Full record

ReviewCancer drug resistance (Alhambra, Calif.)2019

Pharmacogenetic and pharmacogenomic discovery strategies.

Concetta Crisafulli, Petronilla Daniela Romeo, Marco Calabrò, Ludovica Martina Epasto, Saverio Alberti

Open access · diamondAbstract readReview
In one paragraph

Review in Cancer drug resistance (Alhambra, Calif.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 14 citations in OpenAlex.

  1. "Pharmacogenetics of Cancer" -Cancer drug resistance (Alhambra, Calif.) · 2020
    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

5 authors at 1 institution in 1 country.

Concetta CrisafulliDepartment of Biomedical Sciences - BIOMORF, University of Messina, via Consolare Valeria, 98125 Messina, Italy.
Petronilla Daniela RomeoUnit of Medical Genetics, University of Messina, via Consolare Valeria, 98125 Messina, Italy.
Marco CalabròDepartment of Biomedical Sciences - BIOMORF, University of Messina, via Consolare Valeria, 98125 Messina, Italy.
Ludovica Martina EpastoUnit of Medical Genetics, University of Messina, via Consolare Valeria, 98125 Messina, Italy.
Saverio AlbertiDepartment of Biomedical Sciences - BIOMORF, University of Messina, via Consolare Valeria, 98125 Messina, Italy.
University of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic/genomic profiling at a single-patient level is expected to provide critical information for determining inter-individual drug toxicity and potential efficacy in cancer therapy. A better definition of cancer subtypes at a molecular level, may correspondingly complement such pharmacogenetic and pharmacogenomic approaches, for more effective personalized treatments. Current pharmacogenetic/pharmacogenomic strategies are largely based on the identification of known polymorphisms, thus limiting the discovery of novel or rarer genetic variants. Recent improvements in cost and throughput of next generation sequencing (NGS) are now making whole-genome profiling a plausible alternative for clinical procedures. Beyond classical pharmacogenetic/pharmacogenomic traits for drug metabolism, NGS screening programs of cancer genomes may lead to the identification of novel cancer-driving mutations. These may not only constitute novel therapeutic targets, but also effector determinants for metabolic pathways linked to drug metabolism. An additional advantage is that cancer NGS profiling is now leading to discovering targetable mutations, e.g., in glioblastomas and pancreatic cancers, which were originally discovered in other tumor types, thus allowing for effective repurposing of active drugs already on the market.

Indexed as

cancergenomic variantsnext-generation sequencingPharmacogeneticspharmacogenomics

Identifiers

PMID35582724
PMCPMC8992635
OpenAlexW2942027291

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.