Evidence mapPaperPMID 38522008Full record

ReviewCancer reports (Hoboken, N.J.)2024

Developments and future prospects of personalized medicine in head and neck squamous cell carcinoma diagnoses and treatments.

Shalindu Malshan Jayawickrama, Piyumi Madhushani Ranaweera, Ratupaskatiye Gedara Gunaratnege Roshan Pradeep, Yovanthi Anurangi Jayasinghe, Kalpani Senevirathna, Abdul Jabbar Hilmi, Rajapakse Mudiyanselage Gamini Rajapakse, Kehinde Kazeem Kanmodi, Ruwan Duminda Jayasinghe

Open access · goldAbstract readReview
In one paragraph

Review in Cancer reports (Hoboken, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 2% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Head and neck squamous cell carcinoma: current and emerging therapeutic strategies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  5. Review
  6. Immune biomarkers for head and neck cancer.Cancer immunology, immunotherapy : CII · 2025
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. 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 at 4 institutions in 4 countries.

Shalindu Malshan JayawickramaCentre for Research in Oral Cancer, Faculty of Dental Sciences, University of Peradeniya, Kandy, Sri Lanka.ORCID 0000-0003-4582-4006
Piyumi Madhushani RanaweeraFaculty of Information Technology, Horizon Campus, Colombo, Sri Lanka.ORCID 0000-0001-8588-0796
Ratupaskatiye Gedara Gunaratnege Roshan PradeepCentre for Research in Oral Cancer, Faculty of Dental Sciences, University of Peradeniya, Kandy, Sri Lanka.ORCID 0000-0002-2734-8248
Yovanthi Anurangi JayasingheCentre for Research in Oral Cancer, Faculty of Dental Sciences, University of Peradeniya, Kandy, Sri Lanka.ORCID 0000-0001-5144-5550
Kalpani SenevirathnaCentre for Research in Oral Cancer, Faculty of Dental Sciences, University of Peradeniya, Kandy, Sri Lanka.ORCID 0000-0001-5768-1351
Abdul Jabbar HilmiOncology and Radiotherapy Unit, National Hospital, Kandy, Sri Lanka.
Rajapakse Mudiyanselage Gamini RajapakseDepartment of Chemistry, Faculty of Sciences, University of Peradeniya, Kandy, Sri Lanka.ORCID 0000-0003-3943-5362
Kehinde Kazeem KanmodiSchool of Dentistry, University of Rwanda, Kigali, Rwanda.ORCID 0000-0001-9906-3826
Ruwan Duminda JayasingheCentre for Research in Oral Cancer, Faculty of Dental Sciences, University of Peradeniya, Kandy, Sri Lanka.ORCID 0000-0002-8054-4301
University of Peradeniya · LKTeaching Hospital Kandy · LKUniversity of Colombo · LKUniversity of Puthisastra · KH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrecision healthcare has entered a new era because of the developments in personalized medicine, especially in the diagnosis and treatment of head and neck squamous cell carcinoma (HNSCC). This paper explores the dynamic landscape of personalized medicine as applied to HNSCC, encompassing both current developments and future prospects. RECENT

findingsThe integration of personalized medicine strategies into HNSCC diagnosis is driven by the utilization of genetic data and biomarkers. Epigenetic biomarkers, which reflect modifications to DNA that can influence gene expression, have emerged as valuable indicators for early detection and risk assessment. Treatment approaches within the personalized medicine framework are equally promising. Immunotherapy, gene silencing, and editing techniques, including RNA interference and CRISPR/Cas9, offer innovative means to modulate gene expression and correct genetic aberrations driving HNSCC. The integration of stem cell research with personalized medicine presents opportunities for tailored regenerative approaches. The synergy between personalized medicine and technological advancements is exemplified by artificial intelligence (AI) and machine learning (ML) applications. These tools empower clinicians to analyze vast datasets, predict patient responses, and optimize treatment strategies with unprecedented accuracy.

conclusionThe developments and prospects of personalized medicine in HNSCC diagnosis and treatment offer a transformative approach to managing this complex malignancy. By harnessing genetic insights, biomarkers, immunotherapy, gene editing, stem cell therapies, and advanced technologies like AI and ML, personalized medicine holds the key to enhancing patient outcomes and ushering in a new era of precision oncology.

Indexed as

Head and Neck NeoplasmsPrecision MedicineArtificial IntelligenceBiomarkersHumansSquamous Cell Carcinoma of Head and NeckBiomarkersartificial intelligencebiomarkergenetic datahead and neck squamous cell carcinomamachine learningpersonalized medicinetargeted therapy

Identifiers

PMID38522008
PMCPMC10961052
OpenAlexW4393122687

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.