Evidence map›Paper›PMID 32629971›Full record

ReviewInternational journal of molecular sciences2020

Pharmacogenomics and Pharmacogenetics in Osteosarcoma: Translational Studies and Clinical Impact.

Claudia Maria Hattinger, Maria Pia Patrizio, Silvia Luppi, Massimo Serra

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05669391 (Randomized Controlled Study on the Effect of Pharmacogenomics on Individualized Precise Treatment of Patients With Depression), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 27% 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.

NCT05669391 nacompletednot on this mapstarted 2023, after this paper: background citation

Randomized Controlled Study on the Effect of Pharmacogenomics on Individualized Precise Treatment of Patients With Depression

TypeinterventionalSponsorTongji UniversityRan2023 to 2024Enrolled120ConditionsPharmacogenomics, DepressionArmsGenomic analysis of antidepressants
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Lamins' role in osteosarcoma.Frontiers in cell and developmental biology · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Cancers · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. 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

4 authors at 1 institution in 1 country.

Claudia Maria HattingerIRCCS Istituto Ortopedico Rizzoli, Laboratory of Experimental Oncology, Pharmacogenomics and Pharmacogenetics Research Unit, Bologna, Italy.
Maria Pia PatrizioIRCCS Istituto Ortopedico Rizzoli, Laboratory of Experimental Oncology, Pharmacogenomics and Pharmacogenetics Research Unit, Bologna, Italy.
Silvia LuppiIRCCS Istituto Ortopedico Rizzoli, Laboratory of Experimental Oncology, Pharmacogenomics and Pharmacogenetics Research Unit, Bologna, Italy.
Massimo SerraIRCCS Istituto Ortopedico Rizzoli, Laboratory of Experimental Oncology, Pharmacogenomics and Pharmacogenetics Research Unit, Bologna, Italy.
Istituto Ortopedico Rizzoli · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-grade osteosarcoma (HGOS) is a very aggressive bone tumor which primarily affects adolescents and young adults. Although not advanced as is the case for other cancers, pharmacogenetic and pharmacogenomic studies applied to HGOS have been providing hope for an improved understanding of the biology and the identification of genetic biomarkers, which may impact on clinical care management. Recent developments of pharmacogenetics and pharmacogenomics in HGOS are expected to: i) highlight genetic events that trigger oncogenesis or which may act as drivers of disease; ii) validate research models that best predict clinical behavior; and iii) indicate genetic biomarkers associated with clinical outcome (in terms of treatment response, survival probability and susceptibility to chemotherapy-related toxicities). The generated body of information may be translated to clinical settings, in order to improve both effectiveness and safety of conventional chemotherapy trials as well as to indicate new tailored treatment strategies. Here, we review and summarize the current scientific evidence for each of the aforementioned issues in view of possible clinical applications.

Indexed as

AnimalsAntineoplastic AgentsBone NeoplasmsGenetic MarkersHumansOsteosarcomaPharmacogeneticsPolymorphism, GeneticSarcoma, ExperimentalTranslational Research, BiomedicalAntineoplastic AgentsGenetic Markersosteosarcomapharmacogeneticspharmacogenomicstailored treatmenttoxicity

Identifiers

PMID32629971
PMCPMC7369799
OpenAlexW3039677249

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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 Socratic graph.