Evidence map›Paper›PMID 40075573›Full record

ReviewCancers2025

Lung Cancer Therapy: The Role of Personalized Medicine.

Raquel Ramos, Conceição Souto Moura, Mariana Costa, Nuno Jorge Lamas, Renato Correia, Diogo Garcez, José Miguel Pereira, Thomas Lindahl, Carlos Sousa, Nuno Vale

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Observational
  3. Article
  4. Article
  5. Review
  6. 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

10 authors.

Raquel RamosPerMed Research Group, RISE-Health, Faculty of Medicine, University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal.ORCID 0009-0007-5324-8826
Conceição Souto MouraPathology Laboratory, Unilabs Portugal, Rua Manuel Pinto de Azevedo 173, 4100-321 Porto, Portugal.
Mariana CostaMolecular Diagnostics Laboratory, Unilabs Portugal, Centro Empresarial Lionesa Porto, Rua Lionesa, 4465-671 Leça do Balio, Portugal.
Nuno Jorge LamasMolecular Diagnostics Laboratory, Unilabs Portugal, Centro Empresarial Lionesa Porto, Rua Lionesa, 4465-671 Leça do Balio, Portugal.
Renato CorreiaTechnology & Innovation Department, Unilabs Portugal, Rua Manuel Pinto de Azevedo 173, 4100-321 Porto, Portugal.
Diogo GarcezTechnology & Innovation Department, Unilabs Portugal, Rua Manuel Pinto de Azevedo 173, 4100-321 Porto, Portugal.
José Miguel PereiraRadiology Department, Unilabs Portugal, Rua de Diogo Botelho 485, 4150-255 Porto, Portugal.
Thomas LindahlUnilabs Group Services, Succursale d'Unilabs, Laboratoire d'Analyses Médicales SA, Rue de Lausanne 15, 1201 Geneva, Switzerland.
Carlos SousaPerMed Research Group, RISE-Health, Faculty of Medicine, University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal.ORCID 0000-0003-0708-6874
Nuno ValePerMed Research Group, RISE-Health, Faculty of Medicine, University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal.ORCID 0000-0002-1283-1042

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the deadliest cancer worldwide, exhibiting the highest incidence rate among all cancer types. Poor outcomes often characterize this cancer as it is commonly diagnosed in advanced stages due to its unspecific symptoms. After diagnosis, the therapeutic choice is a crucial stage that profoundly affects patients' survival. Treatment choices for lung cancer must be made carefully, acknowledging the histological type and genetic characteristics of the tumor. Non-small cell lung cancer, the most common and complex type, has a high mutational burden, making next-generation sequencing (NGS) essential for identifying specific mutations and guiding treatment. With several approved targeted therapies already available, this approach highlights the critical role of personalized medicine in lung cancer care. Despite the current therapeutic pipeline, research trying to develop new tailored drugs considering individual patient characteristics has evolved over the years. This article aims to outline the current therapeutic approach for each type of lung cancer and present the latest insights into emerging therapies, highlighting the role of personalized medicine in enhancing treatment outcomes and improving patients' quality of life.

Indexed as

actionable mutationsgenetic alterationslung cancerpersonalized medicinesurvivaltargeted therapy

Identifiers

PMID40075573
PMCPMC11899562

What OpenQuestion holds

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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.