Evidence mapPaperPMID 41228293Full record

ReviewCancers2025

Advances in Precision Oncology: From Molecular Profiling to Regulatory-Approved Targeted Therapies.

Petar Brlek, Vedrana Škaro, Nenad Hrvatin, Luka Bulić, Ana Petrović, Petar Projić, Martina Smolić, Parth Shah, Dragan Primorac

Abstract readReview
In one paragraph

Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Integrating multi-omics data for next-generation cancer research and precision medicine.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  3. Review
  4. Further Promise and Potential for Precision Medicine in Oncology.Journal of medical Internet research · 2026
    Article
  5. Article
  6. Review
  7. 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

9 authors.

Petar BrlekSt. Catherine Specialty Hospital, 10000 Zagreb, Croatia.ORCID 0000-0001-8022-4095
Vedrana ŠkaroInternational Center for Applied Biological Research, 10000 Zagreb, Croatia.ORCID 0000-0002-8275-867X
Nenad HrvatinSt. Catherine Specialty Hospital, 10000 Zagreb, Croatia.ORCID 0009-0005-8797-3239
Luka BulićSt. Catherine Specialty Hospital, 10000 Zagreb, Croatia.ORCID 0000-0001-6522-891X
Ana PetrovićFaculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia.ORCID 0000-0001-5585-3121
Petar ProjićInternational Center for Applied Biological Research, 10000 Zagreb, Croatia.
Martina SmolićFaculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia.ORCID 0000-0002-6867-826X
Parth ShahDartmouth Health, Lebanon, NH 03766, USA.
Dragan PrimoracSt. Catherine Specialty Hospital, 10000 Zagreb, Croatia.ORCID 0000-0001-5565-080X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid evolution of sequencing technologies has profoundly advanced precision oncology. Whole-exome sequencing (WES), whole-genome sequencing (WGS), and whole-transcriptome sequencing (RNA-Seq) enable comprehensive characterization of tumor biology by detecting actionable mutations, gene fusions, splice variants, copy number alterations, and pathway dysregulation. These approaches also provide critical insights into biomarkers such as homologous recombination deficiency (HRD), tumor mutational burden (TMB), and microsatellite instability (MSI), which are increasingly essential for guiding therapeutic decisions. Importantly, comprehensive genomic profiling not only refines patient stratification for targeted therapies but also sheds light on tumor-immune interactions and the tumor microenvironment, paving the way for more effective immunotherapeutic combinations. WGS is considered the gold standard for detecting germline mutations and complex structural variants, while WES remains central for detecting somatic driver mutations that guide targeted therapies. RNA-Seq complements these methods by capturing gene expression dynamics, identifying clinically relevant fusions, and revealing mechanisms of resistance. Together with advances in bioinformatics and artificial intelligence, these tools translate molecular data into actionable strategies for patient care. This review integrates insights from WGS, WES, and RNA-Seq with an overview of FDA- and EMA-approved targeted therapies, organized by tumor type, and highlights the molecular signaling pathways that drive cancer development and treatment. By bridging genomic profiling with regulatory-approved therapies, we outline current advances and future perspectives in delivering personalized cancer care.

Indexed as

artificial intelligenceimmunotherapypersonalized medicineprecision oncologyRNA sequencingwhole-genome sequencing

Identifiers

PMID41228293
PMCPMC12607717

What Socratic 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 Socratic graph.