基因染色體與癌癥將提供快速出版的原始全長(zhǎng)研究文章，簡(jiǎn)短的溝通觀點(diǎn)評(píng)論給編輯的信件，以及與腫瘤研究有關(guān)的基因分析的編輯評(píng)論。重點(diǎn)將放在結(jié)合分子和細(xì)胞遺傳學(xué)分析癌癥細(xì)胞基因組變化的工作上。盡管將優(yōu)先采用分析方法進(jìn)行研究，描述性研究和病例報(bào)告也將受到歡迎，特別是當(dāng)它們提供關(guān)于腫瘤疾病基本生物學(xué)機(jī)制或臨床管理的見(jiàn)解時(shí)。涵蓋的具體領(lǐng)域包括：所有良性和惡性疾病的染色體異常，包括腫瘤進(jìn)展期間發(fā)生的變化基因結(jié)構(gòu)和調(diào)節(jié)的變化，由于基因組重排，涉及與細(xì)胞增殖和分化調(diào)節(jié)相關(guān)的基因的染色體改變?；蚪M異常與細(xì)胞表型改變之間的相關(guān)性：染色體和DNA水平變化對(duì)疾病預(yù)后的預(yù)測(cè)價(jià)值；設(shè)計(jì)和監(jiān)測(cè)癌癥治療；細(xì)胞遺傳學(xué)分子和流行病學(xué)分析易患癌癥的遺傳性疾??；染色體和/或遺傳性疾病。由外部因素引起的MAGE描述了用于基因組分析的新的分子生物學(xué)和細(xì)胞遺傳學(xué)方法。

Genes Chromosomes & Cancer will offer rapid publication of original full-length research articles brief communications perspectives reviews letters to the editors as well as editorial commentaries on genetic analysis as related to the study of neoplasia. Particular emphasis will be placed on work combining molecular and cytogenetic analyses of the genomic alterations of cancer cells. While preference will be given to research using analytical approaches descriptive studies and case reports will also be welcomed particularly when they offer insights regarding basic biologic mechanisms or the clinical management of neoplastic disorders. Specific areas covered will include: Chromosomal abnormalities in all benign and malignant disorders including changes that occur during neoplastic progression Changes in gene structure and regulation as a consequence of genomic rearrangements Chromosomal alterations involving genes related to the regulation of cell proliferation and differentiation The correlation between genomic abnormalities and cellular phenotypic alterations The predictive value of alterations at the chromosomal and DNA levels in disease prognosis and in designing and monitoring cancer therapies Cytogenetic molecular and epidemiologic analyses of inherited disorders predisposing to cancer Chromosomal and/or genetic damage caused by external factors Descriptions of novel molecular biological and cytogenetic methods for genomic analysis.