Literature DB >> 32098581

Commentary: Cancer research quality and tumour classification.

Ian A Cree1, B Iciar Indave1.   

Abstract

Cancer researchers require accurate diagnoses for the samples, cell lines, patients or populations that they study. These diagnoses are underpinned by an internationally accepted taxonomy - the World Health Organization Classification of Tumours. This is still largely based on the histopathological examination of biopsy specimens, but increasingly also molecular methods and radiological examination of patients. Classifications evolve as new evidence arises, and for tumours that evidence is available in a quantity that is both remarkable and daunting. Evaluating this deluge of new information and incorporating it into the World Health Organization Classification of Tumours is now the responsibility of an editorial board, and up to 200 editors and authors work on each system to update it within the new 5th edition. Just as cancer researchers depend on the classification for diagnoses, so too the classification depends on the generation of high-quality, trustworthy data by cancer researchers. It is not just a case of quantity but quality too. Scientific fraud is thankfully rare, but high-profile cases are damaging and standards need to improve, not least to ensure that accurate information enters the classification.

Entities:  

Keywords:  Cancer; classification; quality; research; tumours

Mesh:

Year:  2020        PMID: 32098581     DOI: 10.1177/1010428320907544

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  4 in total

1.  Diagnostic Value of MAML2 Rearrangements in Mucoepidermoid Carcinoma.

Authors:  Julia C Thierauf; Alex A Farahani; B Iciar Indave; Adam Z Bard; Valerie A White; Cameron R Smith; Hetal Marble; Martin D Hyrcza; John K C Chan; Justin Bishop; Qiuying Shi; Kim Ely; Abbas Agaimy; Maria Martinez-Lage; Vania Nose; Miguel Rivera; Valentina Nardi; Dora Dias-Santagata; Salil Garg; Peter Sadow; Long P Le; William Faquin; Lauren L Ritterhouse; Ian A Cree; A John Iafrate; Jochen K Lennerz
Journal:  Int J Mol Sci       Date:  2022-04-13       Impact factor: 6.208

2.  OncoTree: A Cancer Classification System for Precision Oncology.

Authors:  Ritika Kundra; Hongxin Zhang; Robert Sheridan; Sahussapont Joseph Sirintrapun; Avery Wang; Angelica Ochoa; Manda Wilson; Benjamin Gross; Yichao Sun; Ramyasree Madupuri; Baby A Satravada; Dalicia Reales; Efsevia Vakiani; Hikmat A Al-Ahmadie; Ahmet Dogan; Maria Arcila; Ahmet Zehir; Steven Maron; Michael F Berger; Cristina Viaplana; Katherine Janeway; Matthew Ducar; Lynette Sholl; Snjezana Dogan; Philippe Bedard; Lea F Surrey; Iker Huerga Sanchez; Aijaz Syed; Anoop Balakrishnan Rema; Debyani Chakravarty; Sarah Suehnholz; Moriah Nissan; Gopakumar V Iyer; Rajmohan Murali; Nancy Bouvier; Robert A Soslow; David Hyman; Anas Younes; Andrew Intlekofer; James J Harding; Richard D Carvajal; Paul J Sabbatini; Ghassan K Abou-Alfa; Luc Morris; Yelena Y Janjigian; Meighan M Gallagher; Tara A Soumerai; Ingo K Mellinghoff; Abraham A Hakimi; Matthew Fury; Jason T Huse; Aditya Bagrodia; Meera Hameed; Stacy Thomas; Stuart Gardos; Ethan Cerami; Tali Mazor; Priti Kumari; Pichai Raman; Priyanka Shivdasani; Suzanne MacFarland; Scott Newman; Angela Waanders; Jianjiong Gao; David Solit; Nikolaus Schultz
Journal:  JCO Clin Cancer Inform       Date:  2021-02

3.  Preliminary Exploration of Main Elements for Systematic Classification Development: Case Study of Patient Safety Incidents.

Authors:  Riikka Vuokko; Anne Vakkuri; Sari Palojoki
Journal:  JMIR Form Res       Date:  2022-03-29

4.  Understanding the use of evidence in the WHO Classification of Tumours: a protocol for an evidence gap map of the classification of tumours of the lung.

Authors:  Javier Del Aguila Mejía; Subasri Armon; Fiona Campbell; Richard Colling; Magdalena Chechlinska; Magdalena Kowalewska; Marina Pollán; Stefan Holdenrieder; Puay Hoon Tan; Ian Cree; Blanca Iciar Indave Ruiz
Journal:  BMJ Open       Date:  2022-10-11       Impact factor: 3.006

  4 in total

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