Evidence mapPaperPMID 39452555Full record

ReviewJournal of personalized medicine2024

Personalized Treatment Strategies via Integration of Gene Expression Biomarkers in Molecular Profiling of Laryngeal Cancer.

Antonino Maniaci, Giovanni Giurdanella, Carlos Chiesa Estomba, Simone Mauramati, Andy Bertolin, Marco Lionello, Miguel Mayo-Yanez, Paolo Boscolo Rizzo, Jerome R Lechien, Mario Lentini

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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.

Antonino ManiaciDepartment of Medicine and Surgery, University of Enna "Kore", 94100 Enna, Italy.ORCID 0000-0002-1251-0185
Giovanni GiurdanellaDepartment of Medicine and Surgery, University of Enna "Kore", 94100 Enna, Italy.ORCID 0000-0002-4855-8615
Carlos Chiesa EstombaHead and Neck Study Group, Young Otolaryngologists-International Federation of Otorhinolaryngological Societies, 13005 Paris, France.ORCID 0000-0001-9454-9464
Simone MauramatiDepartment of Otolaryngology Head Neck Surgery, University of Pavia, IRCCS Policlinico San Matteo Foundation, 27100 Pavia, Italy.
Andy BertolinDepartment Otorhinolaryngology, Vittorio Veneto Hospital (ML, AB), Anesthesia and Intensive Care, Vittorio Veneto Hospital, 31029 Vittorio Veneto, Italy.
Marco LionelloDepartment Otorhinolaryngology, Vittorio Veneto Hospital (ML, AB), Anesthesia and Intensive Care, Vittorio Veneto Hospital, 31029 Vittorio Veneto, Italy.
Miguel Mayo-YanezHead and Neck Study Group, Young Otolaryngologists-International Federation of Otorhinolaryngological Societies, 13005 Paris, France.ORCID 0000-0002-1829-6597
Paolo Boscolo RizzoDepartment of Medical, Surgical and Health Sciences, Section of Otolaryngology, University of Trieste, 34127 Trieste, Italy.ORCID 0000-0002-4635-7959
Jerome R LechienHead and Neck Study Group, Young Otolaryngologists-International Federation of Otorhinolaryngological Societies, 13005 Paris, France.ORCID 0000-0002-0845-0845
Mario LentiniDepartment of Medicine and Surgery, University of Enna "Kore", 94100 Enna, Italy.ORCID 0009-0004-8127-5045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laryngeal cancer poses a substantial challenge in head and neck oncology, and there is a growing focus on customized medicine techniques. The present state of gene expression indicators in laryngeal cancer and their potential to inform tailored therapy choices are thoroughly examined in this review. We examine significant molecular changes, such as TP53, CDKN2A, PIK3CA, and NOTCH1 mutations, which have been identified as important participants in the development of laryngeal cancer. The study investigates the predictive and prognostic significance of these genetic markers in addition to the function of epigenetic changes such as the methylation of the MGMT promoter. We also go over the importance of cancer stem cell-related gene expression patterns, specifically CD44 and ALDH1A1 expression, in therapy resistance and disease progression. The review focuses on indicators, including PD-L1, CTLA-4, and tumor mutational burden (TMB) in predicting immunotherapy responses, highlighting recent developments in our understanding of the intricate interactions between tumor genetics and the immune milieu. We also investigate the potential for improving prognosis accuracy and treatment selection by the integration of multi-gene expression panels with clinicopathological variables. The necessity for uniform testing and interpretation techniques is one of the difficulties, in implementing these molecular insights into clinical practice, that are discussed. This review seeks to provide a comprehensive framework for promoting personalized cancer therapy by combining the most recent data on gene expression profiling in laryngeal cancer. Molecularly guided treatment options may enhance patient outcomes.

Indexed as

gene expression profilinglaryngeal cancermolecular biomarkersoncogenomicspersonalized medicine

Identifiers

PMID39452555
PMCPMC11508418

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.