Evidence map›Paper›PMID 39193152›Full record

ReviewWorld journal of clinical oncology2024

Personalized medicine: Clinical oncology on molecular view of treatment.

Rafick Costa Dos Santos Da Silva, Nathalia de Andrade Simon, André Alves Dos Santos, Gabriel De Melo Olegário, Jayne Ferreira Da Silva, Naide Oliveira Sousa, Manuel Alvarez Troncoso Corbacho, Fabrício Freire de Melo

Abstract readReview
In one paragraph

Review in World journal of clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

8 authors.

Rafick Costa Dos Santos Da SilvaInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória Da Conquista 45029-094, Bahia, Brazil.
Nathalia de Andrade SimonInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória Da Conquista 45029-094, Bahia, Brazil.
André Alves Dos SantosInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória Da Conquista 45029-094, Bahia, Brazil.
Gabriel De Melo OlegárioInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória Da Conquista 45029-094, Bahia, Brazil.
Jayne Ferreira Da SilvaInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória Da Conquista 45029-094, Bahia, Brazil.
Naide Oliveira SousaInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória Da Conquista 45029-094, Bahia, Brazil.
Manuel Alvarez Troncoso CorbachoInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória Da Conquista 45029-094, Bahia, Brazil.
Fabrício Freire de MeloInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória Da Conquista 45029-094, Bahia, Brazil. freiremelo@yahoo.com.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer, the second leading global cause of death, impacts both physically and emotionally. Conventional treatments such as surgeries, chemotherapy, and radiotherapy have adverse effects, driving the need for more precise approaches. Precision medicine enables more targeted treatments. Genetic mapping, alongside other molecular biology approaches, identifies specific genes, contributing to accurate prognoses. The review addresses, in clinical use, a molecular perspective on treatment. Biomarkers like alpha-fetoprotein, beta-human chorionic gonadotropin, 5-hydroxyindoleacetic acid, programmed death-1, and cytotoxic T lymphocyte-associated protein 4 are explored, providing valuable information. Bioinformatics, with an emphasis on artificial intelligence, revolutionizes the analysis of biological data, offering more accurate diagnoses. Techniques like liquid biopsy are emphasized for early detection. Precision medicine guides therapeutic strategies based on the molecular characteristics of the tumor, as evidenced in the molecular subtypes of breast cancer. Classifications allow personalized treatments, highlighting the role of trastuzumab and endocrine therapies. Despite the benefits, challenges persist, including high costs, tumor heterogeneity, and ethical issues. Overcoming obstacles requires collaboration, ensuring that advances in molecular biology translate into accessible benefits for all.

Indexed as

CancerMolecular biologyMolecular MarkersNeoplasiaOncologyPersonalized medicine

Identifiers

PMID39193152
PMCPMC11346063

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.