Evidence map›Paper›PMID 31357735›Full record

ReviewMedicina (Kaunas, Lithuania)2019

Overview of Current Targeted Anti-Cancer Drugs for Therapy in Onco-Hematology.

Stefania Crisci, Filomena Amitrano, Mariangela Saggese, Tommaso Muto, Sabrina Sarno, Sara Mele, Pasquale Vitale, Giuseppina Ronga, Massimiliano Berretta, Raffaele Di Francia

Open access · goldAbstract readReview
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  6. Article
  7. Review
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  9. Review
  10. Review
  11. Article
  12. Plant-Derived Stilbenoids as DNA-Binding Agents: From Monomers to Dimers.Chemistry (Weinheim an der Bergstrasse, Germany) · 2021
    Article
  13. Article
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  15. Review
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

10 authors at 5 institutions in 1 country.

Stefania CrisciHematology-Oncology and Stem Cell Transplantation Unit, Istituto Nazionale Tumori, Fondazione "G. Pascale" IRCCS, Naples 80131, Italy.
Filomena AmitranoGruppo Oncologico Ricercatori Italiano GORI ONLUS, Pordenone 33100, Italy.
Mariangela SaggeseHematology-Oncology and Stem Cell Transplantation Unit, Istituto Nazionale Tumori, Fondazione "G. Pascale" IRCCS, Naples 80131, Italy.
Tommaso MutoHematology and Cellular Immunology (Clinical Biochemistry) A.O. dei Colli Monaldi Hospital, Naples 80131, Italy.
Sabrina SarnoAnatomia Patologica, Istituto Nazionale Tumori, Fondazione "G. Pascale" IRCCS, Naples 80131, Italy.
Sara MeleHematology-Oncology and Stem Cell Transplantation Unit, Istituto Nazionale Tumori, Fondazione "G. Pascale" IRCCS, Naples 80131, Italy.
Pasquale VitaleHematology-Oncology and Stem Cell Transplantation Unit, Istituto Nazionale Tumori, Fondazione "G. Pascale" IRCCS, Naples 80131, Italy.
Giuseppina RongaHematology-Oncology and Stem Cell Transplantation Unit, Istituto Nazionale Tumori, Fondazione "G. Pascale" IRCCS, Naples 80131, Italy.
Massimiliano BerrettaDepartment of Medical Oncology, CRO National Cancer Institute, Aviano (PN) 33081, Italy.
Raffaele Di FranciaItalian Association of Pharmacogenomics and Molecular Diagnostics (IAPharmagen), Ancona 60125, Italy. rdifrancia@iapharmagen.org.
Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · ITCentro di Riferimento Oncologico · ITItalian Association for Cancer Research · ITItalian Oncology Group of Clinical Research · ITOspedale Monaldi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The upgraded knowledge of tumor biology and microenviroment provides information on differences in neoplastic and normal cells. Thus, the need to target these differences led to the development of novel molecules (targeted therapy) active against the neoplastic cells' inner workings. There are several types of targeted agents, including Small Molecules Inhibitors (SMIs), monoclonal antibodies (mAbs), interfering RNA (iRNA) molecules and microRNA. In the clinical practice, these new medicines generate a multilayered step in pharmacokinetics (PK), which encompasses a broad individual PK variability, and unpredictable outcomes according to the pharmacogenetics (PG) profile of the patient (e.g., cytochrome P450 enzyme), and to patient characteristics such as adherence to treatment and environmental factors. This review focuses on the use of targeted agents in-human phase I/II/III clinical trials in cancer-hematology. Thus, it outlines the up-to-date anticancer drugs suitable for targeted therapies and the most recent finding in pharmacogenomics related to drug response. Besides, a summary assessment of the genotyping costs has been discussed. Targeted therapy seems to be an effective and less toxic therapeutic approach in onco-hematology. The identification of individual PG profile should be a new resource for oncologists to make treatment decisions for the patients to minimize the toxicity and or inefficacy of therapy. This could allow the clinicians to evaluate benefits and restrictions, regarding costs and applicability, of the most suitable pharmacological approach for performing a tailor-made therapy.

Indexed as

Antineoplastic AgentsAntineoplastic Agents, ImmunologicalHumansMicroRNAsOncolytic VirusesReview Literature as TopicRNA, Small InterferingTargeted Gene RepairAntineoplastic AgentsAntineoplastic Agents, ImmunologicalMicroRNAsRNA, Small Interferinganticancer mAbspersonalized medicinepharmacogenomicstailored therapyTyrosine kinase inhibitors

Identifiers

PMID31357735
PMCPMC6723645
OpenAlexW2965961024

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.