Literature DB >> 19703731

Challenges for the future modifications of the TNM staging system for head and neck cancer: case for a new computational model?

Kapila Manikantan1, Suhail I Sayed, Konstantinos N Syrigos, Peter Rhys-Evans, Chris M Nutting, Kevin J Harrington, Rehan Kazi.   

Abstract

The TNM system of staging cancers is a simple and effective method to map the extent of tumours. It had traditionally strived to maintain a balance between being simple and user-friendly on one hand and comprehensive on the other. A number of revisions have taken place over the years with the goal of improving utility. However, numerous controversies surround the TNM system. There is a school of thought that contends that patient co-morbidity and specific tumour-related factors should be incorporated to add further prognostic capabilities in the TNM system, but this raises concerns that such an approach may unnecessarily complicate the system. This review highlights some controversies that surround the TNM system and suggests prognostic indicators that may be added to make it more useful in guiding treatment decisions and predicting outcomes.

Entities:  

Mesh:

Year:  2009        PMID: 19703731     DOI: 10.1016/j.ctrv.2009.04.010

Source DB:  PubMed          Journal:  Cancer Treat Rev        ISSN: 0305-7372            Impact factor:   12.111


  7 in total

1.  Prognostic Performance of Current Stage III Oral Cancer Patients After Curative Intent Resection: Evidence to Support a Revision of the American Joint Committee on Cancer Staging System.

Authors:  M Amit; T C Yen; C T Liao; P Chaturvedi; J P Agarwal; L P Kowalski; Hugo F Kohler; A Ebrahimi; J R Clark; C R Cernea; S J Brandao; M Kreppel; J Zöller; M D Fliss; G Bachar; T Shpitzer; V A Bolzoni; P R Patel; S Jonnalagadda; K T Robbins; N G Iyer; T Skanthakumar; J P Shah; S G Patel; Z Gil
Journal:  Ann Surg Oncol       Date:  2015-08-28       Impact factor: 5.344

2.  Analysis of ECOG performance status in head and neck squamous cell carcinoma patients: association with sociodemographical and clinical factors, and overall survival.

Authors:  Gefter Thiago Batista Corrêa; Gabriela Alencar Bandeira; Bruna Gonçalves Cavalcanti; Francis Balduíno Guimarães Santos; João Felício Rodrigues Rodrigues Neto; André Luiz Sena Guimarães; Desirée Sant'Ana Haikal; Alfredo Maurício Batista De Paula
Journal:  Support Care Cancer       Date:  2012-11       Impact factor: 3.603

Review 3.  Prognostic Stratification of Patients With Advanced Oral Cavity Squamous Cell Carcinoma.

Authors:  Dante De Paz; Huang-Kai Kao; Yenlin Huang; Kai-Ping Chang
Journal:  Curr Oncol Rep       Date:  2017-08-10       Impact factor: 5.075

4.  Comparison of the American Joint Committee on Cancer N1 versus N2a nodal categories for predicting survival and recurrence in patients with oral cancer: Time to acknowledge an arbitrary distinction and modify the system.

Authors:  Ardalan Ebrahimi; Ziv Gil; Moran Amit; Tzu-Chen Yen; Chun-Ta Liao; Pankaj Chatturvedi; Jaiprakash Agarwal; Luiz Kowalski; Matthias Kreppel; Claudio Cernea; Jose Brandao; Gideon Bachar; Andrea Bolzoni Villaret; Dan Fliss; Eran Fridman; K Thomas Robbins; Jatin Shah; Snehal Patel; Jonathan Clark
Journal:  Head Neck       Date:  2015-06-18       Impact factor: 3.147

5.  Lymph node ratio is associated with adverse clinicopathological features and is a crucial nodal parameter for oral and oropharyngeal cancer.

Authors:  Zhien Feng; Qiao Shi Xu; Chong Wang; Jin Zhong Li; Ming Hui Mao; Hua Li; Li Zheng Qin; Zhengxue Han
Journal:  Sci Rep       Date:  2017-07-27       Impact factor: 4.379

6.  Oral mucosa tissue gene expression profiling before, during, and after radiation therapy for tonsil squamous cell carcinoma.

Authors:  Mette Marcussen; Mads Sønderkær; Julie Støve Bødker; Maria Andersen; Søren Nielsen; Charles Vesteghem; Ilse Christiansen; Olav Jonas Bergmann; Martin Bøgsted; Karen Dybkær; Mogens Vyberg; Hans Erik Johnsen
Journal:  PLoS One       Date:  2018-01-16       Impact factor: 3.240

7.  Identification of hub lncRNAs in head and neck cancer based on weighted gene co-expression network analysis and experiments.

Authors:  Shao Lina
Journal:  FEBS Open Bio       Date:  2021-05-21       Impact factor: 2.693

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.