Evidence map›Paper›PMID 39998781›Full record

ReviewCurrent oncology reports2025

Advances in Nasopharyngeal Carcinoma Staging: from the 7th to the 9th Edition of the TNM System and Future Outlook.

Binhao Wu, Xiaozhong Chen, Caineng Cao

Abstract readReview
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In one paragraph

Review in Current oncology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

3 authors.

Binhao WuDepartment of Radiation Oncology, Chinese Academy of Sciences; Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Zhejiang, China.
Xiaozhong ChenDepartment of Radiation Oncology, Chinese Academy of Sciences; Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Zhejiang, China.
Caineng CaoDepartment of Radiation Oncology, Chinese Academy of Sciences; Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Zhejiang, China. caocn@zjcc.org.cn.ORCID http://orcid.org/0000-0002-2803-0864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewNasopharyngeal carcinoma (NPC), characterized by its aggressive nature and sensitivity to radiation, demands accurate staging for optimal clinical outcomes. The purpose of this review was to provides a comprehensive overview of the evolution of the TNM staging system for NPC based on recent and previously published studies, with particular emphasis on the transition from the 7th to the 9th edition. RECENT

findingsThe 9th edition introduces critical changes, particularly in the N and M classifications, to enhance prognostic accuracy. Our analysis also incorporates the burgeoning roles of biomarkers, especially Epstein-Barr virus (EBV)-DNA, and the potential of Artificial Intelligence (AI) in refining NPC staging. Each iteration of the TNM staging system for NPC has successfully enhanced the prognostic precision of NPC, with notable advancements from the 7th to the 9th edition. We also delves into the incorporation of biomarkers, such as EBV-DNA, and the potential of AI in refining staging accuracy. These innovations are anticipated to offer personalized prognoses and inform tailored treatment strategies for NPC patients in the future.

Indexed as

CarcinomaNasopharyngeal CarcinomaNasopharyngeal NeoplasmsNeoplasm StagingArtificial IntelligenceBiomarkers, TumorEpstein-Barr Virus InfectionsHerpesvirus 4, HumanHumansPrognosisBiomarkers, TumorArtificial intelligenceBiomarkersNasopharyngeal carcinomaTNM staging system

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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.