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      Prognostic impact of ACTN4 gene copy number alteration in hormone receptor-positive, HER2-negative, node-negative invasive breast carcinoma

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          Abstract

          Background

          Most patients with hormone receptor (HR)-positive, human epidermal growth factor receptor type 2 (HER2)-negative breast cancer can be cured by surgery and endocrine therapy, but a significant proportion suffer recurrences. Actinin-4 is associated with cancer invasion and metastasis, and its genetic alteration may be used for breast cancer prognostication.

          Methods

          The copy number of the actinin-4 ( ACTN4) gene was determined by fluorescence in situ hybridisation (FISH) in two independent cohorts totalling 597 patients (336 from Japan and 261 from the USA) with HR-positive, HER2-negative, node-negative breast cancer.

          Results

          In the Japanese cohort, multivariate analysis revealed that a copy number increase (CNI) of ACTN4 was an independent factor associated with high risks of recurrence ( P = 0.01; hazard ratio (HR), 2.95) and breast cancer death ( P = 0.014; HR, 4.27). The prognostic significance of ACTN4 CNI was validated in the US cohort, where it was the sole prognostic factor significantly associated with high risks of recurrence ( P = 0.04; HR, 2.73) and death ( P = 0.016; HR, 4.01).

          Conclusions

          Copy number analysis of a single gene, ACTN4, can identify early-stage luminal breast cancer patients with a distinct outcome. Such high-risk patients may benefit from adjuvant chemotherapy.

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          Most cited references38

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          Investigation of the freely available easy-to-use software ‘EZR' for medical statistics

          Y Kanda (2012)
          Although there are many commercially available statistical software packages, only a few implement a competing risk analysis or a proportional hazards regression model with time-dependent covariates, which are necessary in studies on hematopoietic SCT. In addition, most packages are not clinician friendly, as they require that commands be written based on statistical languages. This report describes the statistical software ‘EZR' (Easy R), which is based on R and R commander. EZR enables the application of statistical functions that are frequently used in clinical studies, such as survival analyses, including competing risk analyses and the use of time-dependent covariates, receiver operating characteristics analyses, meta-analyses, sample size calculation and so on, by point-and-click access. EZR is freely available on our website (http://www.jichi.ac.jp/saitama-sct/SaitamaHP.files/statmed.html) and runs on both Windows (Microsoft Corporation, USA) and Mac OS X (Apple, USA). This report provides instructions for the installation and operation of EZR.
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            Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications.

            The purpose of this study was to classify breast carcinomas based on variations in gene expression patterns derived from cDNA microarrays and to correlate tumor characteristics to clinical outcome. A total of 85 cDNA microarray experiments representing 78 cancers, three fibroadenomas, and four normal breast tissues were analyzed by hierarchical clustering. As reported previously, the cancers could be classified into a basal epithelial-like group, an ERBB2-overexpressing group and a normal breast-like group based on variations in gene expression. A novel finding was that the previously characterized luminal epithelial/estrogen receptor-positive group could be divided into at least two subgroups, each with a distinctive expression profile. These subtypes proved to be reasonably robust by clustering using two different gene sets: first, a set of 456 cDNA clones previously selected to reflect intrinsic properties of the tumors and, second, a gene set that highly correlated with patient outcome. Survival analyses on a subcohort of patients with locally advanced breast cancer uniformly treated in a prospective study showed significantly different outcomes for the patients belonging to the various groups, including a poor prognosis for the basal-like subtype and a significant difference in outcome for the two estrogen receptor-positive groups.
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              A perspective on cancer cell metastasis.

              Metastasis causes most cancer deaths, yet this process remains one of the most enigmatic aspects of the disease. Building on new mechanistic insights emerging from recent research, we offer our perspective on the metastatic process and reflect on possible paths of future exploration. We suggest that metastasis can be portrayed as a two-phase process: The first phase involves the physical translocation of a cancer cell to a distant organ, whereas the second encompasses the ability of the cancer cell to develop into a metastatic lesion at that distant site. Although much remains to be learned about the second phase, we feel that an understanding of the first phase is now within sight, due in part to a better understanding of how cancer cell behavior can be modified by a cell-biological program called the epithelial-to-mesenchymal transition.
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                Author and article information

                Contributors
                tetus629@nms.ac.jp
                Journal
                Br J Cancer
                Br. J. Cancer
                British Journal of Cancer
                Nature Publishing Group UK (London )
                0007-0920
                1532-1827
                8 April 2020
                9 June 2020
                : 122
                : 12
                : 1811-1817
                Affiliations
                [1 ]ISNI 0000 0001 2168 5385, GRID grid.272242.3, Division of Chemotherapy and Clinical Research, , National Cancer Center Research Institute, ; Tokyo, 104-0045 Japan
                [2 ]ISNI 0000 0001 2173 8328, GRID grid.410821.e, Department of Pulmonary Medicine and Oncology, , Graduate School of Medicine, Nippon Medical School, ; Tokyo, 113-8602 Japan
                [3 ]ISNI 0000 0001 2168 5385, GRID grid.272242.3, Department of Pathology and Clinical Laboratories, , National Cancer Center Hospital, ; Tokyo, 104-0045 Japan
                [4 ]ISNI 0000 0001 0037 4131, GRID grid.410807.a, Department of Medical Oncology, Cancer Institute Hospital, , Japanese Foundation for Cancer Research, ; Tokyo, 135-8550 Japan
                [5 ]ISNI 0000 0001 2168 5385, GRID grid.272242.3, Departments of Breast and Medical Oncology, , National Cancer Center Hospital, ; Tokyo, 104-0045 Japan
                [6 ]ISNI 0000 0001 2168 5385, GRID grid.272242.3, Department of Breast Surgery, , National Cancer Center Hospital, ; Tokyo, 104-0045 Japan
                [7 ]ISNI 0000 0004 0374 0880, GRID grid.416614.0, Department of Basic Pathology, , National Defense Medical College, ; Saitama, 359-8513 Japan
                [8 ]ISNI 0000 0001 2168 5385, GRID grid.272242.3, Department of Biomarkers for Early Detection of Cancer, , National Cancer Center Research Institute, ; Tokyo, 104-0045 Japan
                Article
                821
                10.1038/s41416-020-0821-y
                7283275
                32265507
                88870ae0-4820-4cc3-b218-24987b6c33a9
                © The Author(s), under exclusive licence to Cancer Research UK 2020

                Note This work is published under the standard license to publish agreement. After 12 months the work will become freely available and the license terms will switch to a Creative Commons Attribution 4.0 International (CC BY 4.0).

                History
                : 7 July 2019
                : 8 January 2020
                : 10 March 2020
                Categories
                Article
                Custom metadata
                © Cancer Research UK 2020

                Oncology & Radiotherapy
                prognostic markers,tumour biomarkers
                Oncology & Radiotherapy
                prognostic markers, tumour biomarkers

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