Evidence map›Paper›PMID 40438512›Full record

ReviewAnnals of translational medicine2025

Advances in personalized medicine: translating genomic insights into targeted therapies for cancer treatment.

Mohamad Jamalinia, Ralf Weiskirchen

Abstract readReview
In one paragraph

Review in Annals of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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  18. Further Promise and Potential for Precision Medicine in Oncology.Journal of medical Internet research · 2026
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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

2 authors.

Mohamad JamaliniaGastroenterohepatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID https://orcid.org/0000-0002-1645-9989
Ralf WeiskirchenInstitute of Molecular Pathobiochemistry, Experimental Gene Therapy and Clinical Chemistry (IFMPEGKC), RWTH University Hospital Aachen, Aachen, Germany.ORCID https://orcid.org/0000-0003-3888-0931

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Personalized medicine has revolutionized cancer treatment by utilizing genomic insights to tailor therapies based on individual molecular profiles. This approach enhances therapeutic efficacy, minimizes adverse effects, and addresses tumor heterogeneity through precision-targeted interventions. Methods: A scoping review was conducted through a comprehensive literature search in PubMed, using MeSH terms and keywords related to genomic profiling and targeted cancer therapies. Eligible studies included original research involving cancer patients who underwent genomic profiling and targeted therapies from January 1, 1950, to February 9, 2025. Results: Advances in next-generation sequencing (NGS) and bioinformatics have accelerated the identification of clinically relevant mutations-such as epidermal growth factor receptor (EGFR) in non-small cell lung cancer (NSCLC) and BRAF V600E in melanoma-enabling the development of effective targeted therapies. Emerging technologies like clustered regularly interspaced short palindromic repeats (CRISPR) gene editing and artificial intelligence (AI) are further refining treatment selection by enabling more precise and adaptive therapeutic strategies. Despite these innovations, challenges persist regarding data interpretation, equitable access, costs, regulatory frameworks, and integration into routine clinical workflows. Conclusions: Genomic profiling is central to the advancement of precision oncology. The convergence of genomics, gene editing, and AI is paving the way toward more personalized, efficient, and inclusive cancer care. Realizing the full potential of personalized medicine will require interdisciplinary collaboration, investment in infrastructure, and ethical oversight to ensure broad, equitable, and responsible implementation in clinical practice.

Indexed as

cancer treatmentgenomic profilingnext-generation sequencing (NGS)Personalized medicinetargeted therapies

Identifiers

PMID40438512
PMCPMC12106117

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.