Literature DB >> 34073937

Challenging, Accurate and Feasible: CAF-1 as a Tumour Proliferation Marker of Diagnostic and Prognostic Value.

Alexandros G Sykaras1,2, Alexandros Pergaris1, Stamatios Theocharis1.   

Abstract

The discovery of novel biomarkers of diagnostic, prognostic, and therapeutic value is a major challenge of current cancer research. The assessment of tumour cell proliferative capacity is pivotal for grading and clinical decision-making, highlighting the importance of proliferation markers as diagnostic and prognostic tools. Currently, the immunohistochemical analysis of Ki-67 expression levels is routinely used in clinical settings to assess tumour proliferation. Inasmuch as the function of Ki-67 is not fully understood and its evaluation lacks standardization, there is interest in chromatin regulator proteins as alternative proliferation markers of clinical value. Here, we review recent evidence demonstrating that chromatin assembly factor 1 (CAF-1), a histone chaperone selectively expressed in cycling cells, is a proliferation marker of clinical value. CAF-1 expression, when evaluated by immunocytochemistry in breast cancer cytology smears and immunohistochemistry in cancer biopsies from several tissues, strongly correlates with the expression of Ki-67 and other proliferation markers. Notably, CAF-1 expression is upregulated in almost all cancers, and CAF-1 overexpression is significantly associated, in most cancer types, with high histological tumour grade, advanced stage, recurrence, metastasis, and decreased patient survival. These findings suggest that CAF-1 is a robust, reproducible, and feasible proliferation marker of prognostic importance. CAF-1 may represent an attractive alternative or complementary to Ki-67 for cancer stratification and clinical guidance.

Entities:  

Keywords:  biomarker; cancer; grading; immunohistochemistry; prognosis; proliferation; tumour

Year:  2021        PMID: 34073937     DOI: 10.3390/cancers13112575

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  68 in total

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Journal:  Mod Pathol       Date:  2018-08-24       Impact factor: 7.842

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5.  Ki67 reproducibility using digital image analysis: an inter-platform and inter-operator study.

Authors:  Balazs Acs; Vasiliki Pelekanou; Yalai Bai; Sandra Martinez-Morilla; Maria Toki; Samuel C Y Leung; Torsten O Nielsen; David L Rimm
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6.  Cell-Cycle Regulation Accounts for Variability in Ki-67 Expression Levels.

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Journal:  Cancer Res       Date:  2017-03-10       Impact factor: 12.701

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Authors:  D Russo; A Travaglino; S Varricchio; F Merolla; G Ilardi; A Raffone; M Scalvenzi; C Costa; G Fabbrocini; S Staibano; M Mascolo
Journal:  J Eur Acad Dermatol Venereol       Date:  2020-11-03       Impact factor: 6.166

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Journal:  Nat Commun       Date:  2018-07-19       Impact factor: 14.919

9.  A common classification framework for neuroendocrine neoplasms: an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert consensus proposal.

Authors:  Guido Rindi; David S Klimstra; Behnoush Abedi-Ardekani; Sylvia L Asa; Frederik T Bosman; Elisabeth Brambilla; Klaus J Busam; Ronald R de Krijger; Manfred Dietel; Adel K El-Naggar; Lynnette Fernandez-Cuesta; Günter Klöppel; W Glenn McCluggage; Holger Moch; Hiroko Ohgaki; Emad A Rakha; Nicholas S Reed; Brian A Rous; Hironobu Sasano; Aldo Scarpa; Jean-Yves Scoazec; William D Travis; Giovanni Tallini; Jacqueline Trouillas; J Han van Krieken; Ian A Cree
Journal:  Mod Pathol       Date:  2018-08-23       Impact factor: 7.842

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Authors:  Antonio Travaglino; Silvia Varricchio; Massimo Mascolo; Daniela Russo; Elena Sabattini; Claudio Agostinelli; Clara Bertuzzi; Antonello Baldo; Alessandro Pileri; Marco Picardi; Fabrizio Pane; Stefania Staibano
Journal:  Virchows Arch       Date:  2020-10-24       Impact factor: 4.064

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  1 in total

Review 1.  Mechanisms of chromatin-based epigenetic inheritance.

Authors:  Wenlong Du; Guojun Shi; Chun-Min Shan; Zhiming Li; Bing Zhu; Songtao Jia; Qing Li; Zhiguo Zhang
Journal:  Sci China Life Sci       Date:  2022-06-30       Impact factor: 6.038

  1 in total

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