Fractional Genomic Alteration Detected by Array-Based Comparative Genomic Hybridization Ind

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上调环状RNA_8199表达对食管鳞状细胞癌细胞增殖、迁移和侵袭能力的影响

上调环状RNA_8199表达对食管鳞状细胞癌细胞增殖、迁移和侵袭能力的影响

8199 was mainly localized in the cytoplasmꎬand the results of nuclear and cytoplasmic extracts assay showed that circular
RNA_8199 was higher in cytoplasm than in nucleus ( P < 0. 001) . Compared with circular RNA_8199 ̄NC groupꎬthe OD
表明环状 RNA 参与了基因的翻译调控并介导
KYSE70、 KYSE270、 KYSE520、 KYSE150、 KYSE410
血清、100 U / mL 青霉素和 0. 1 g / L 链霉素的 RPMI
了多种肿瘤的进展ꎮ 如环状 RNA_0000263 在宫颈
1640 培养基培养ꎮ 培养环境为体积分数 5% CO2 、
transcript of the control group could amplify cDNA and genomic DNA of the cell by convergent primers. The circular RNA_
8199 back ̄splice junction was confirmed by Sanger sequencing. The expression level of circular RNA_8199 after RNase R
上调环状 RNA_8199 表达可抑制 ESCC 细胞增殖、迁移和侵袭能力ꎮ
Effects of up ̄regulation of circular RNA _8199 expression on prolifera ̄

X-染色体连锁智力障碍相关基因研究进展

X-染色体连锁智力障碍相关基因研究进展

X染色体连锁智力障碍相关基因研究进展张文琴1 杨璐2 综述 马端2 审校(1.上海市闵行区中心医院,上海 201100;2.复旦大学出生缺陷研究中心,复旦大学分子医学教育部重点实验室,复旦大学生物医学研究院,上海 200032)【摘要】 X 染色体连锁智力障碍(XLMR)是一类位于X染色体上的基因发生突变引起的先天性智力障碍,所涉及的先天性智力障碍约占所有先天性智力障碍的25%。

迄今已发现XLMR相关基因90个,本文对此进行了综述。

【关键词】 X染色体;先天性智力障碍;基因 先天性智力障碍是由中枢神经系统(CNS)发育异常引起的复杂性疾病,患者通常在18岁以前出现智力和行为方面的明显缺陷。

据统计,大约1%~3%的人存在智力障碍,男女比例大约为1.4~1.6:1[1]。

在所有的智力障碍患者中,大约25%~35%与遗传有关。

在中重度智力障碍者中,遗传因素约占50%。

引起先天性智力障碍的因素包括染色体非整倍体、染色体结构异常、基因组疾病和单基因疾病[2]。

X 染色体连锁智力障碍(X linkedmentalretardation,XLMR)是一类由X染色体上基因突变引起的智力障碍,目前已经发现200余种,约占所有先天性智力障碍的25%[2]。

在这些XLMR中,已确定149种为综合征型(syndromicXLMR,MRXS),66种为非综合征型(non syndromicXLMR,MRX)[3,4]。

XLMR发生率在男性约1/600~1/1000[2]。

与常染色体遗传病相比,X 连锁遗传病有3个特点:①男性X染色体上的基因为半合子,因此不论致病基因为显性或隐性,都可导致男性发病;②男性患者的X 连锁基因只能来自母亲并只能传给女儿,不存在“父 子”传递现象;③女性杂合子携带者是否有临床表现不仅取决于致病基因的表达状况,而且与X染色体是否失活有关。

即有些女性杂合子有临床表现,有些则没有。

1 犡染色体的概况2005年3月17日,《Nature》杂志刊登了英国RossMT领导的国际科学家小组对X染色体的测序结果,为X染色体的研究添加了最富有成效的内容。

PRMT5在癌症中的研究进展

PRMT5在癌症中的研究进展

中国细胞生物学学报Chinese Journal of Cell Biology 2021, 43(3): 662-674DOI: 10.11844/cjcb.2021.03.0021PRMT5在癌症中的研究进展何伶靖#邹成'贺琴菊冯宇晴张定校#(湖南大学生物学院,分子医学与肿瘤学研宄所,长沙410082)摘要 蛋白质精氣酸甲基转移酶(protein arginine methyltransferases,P R M T s)是真核生物中常见的一种酶,可催化组蛋白和非组蛋白底物中的精氨酸残基发生曱基化。

在人类的基因组中,P R M T s由9个基因编码。

作为最主要的II型精氨酸曱基转移酶,P R M T5是P R M T家族成员之一,参与了包括信号转导、转录调控、R N A剪切及D N A损伤修复在内的多种生物学过程;在多种人类恶性 肿瘤中表达上调,发挥着类似致癌基因的作用。

该文对P R M T5在多种癌症中的研究进展进行综述,并对现有的P R M T5小分子抑制剂进行总结(包括其结构和潜在的癌症靶向治疗应用前景)。

关键词癌症;蛋白质精氨酸甲基转移酶;P R M T5;基因表达调控;小分子靶向治疗Recent Advances of PRMT5 in CancerH E Lingjing*1,Z O U C h e n g#,H E Qinju,F E N G Yuqing,Z H A N G Dingxiao*(Center o f Tumorigenesis and Molecular Medicine, College o f B iology, Hunan University, Changsha 410082, China)Abstract Protein arginine methylation i s one of the most abundant and evolutionarily conserved post-translational modifications catalyzed by the P R M T s(protein arginine methyltransferases).P R M T s,encoded by nine genes in the h u m a n g e n o m e,can methylate histone and nonhistone proteins.A s the main type I I arginine methyltransferase,P R M T5 has been implicated in the control of m a n y cellular processes such as cell cycle progres­sion,signal transduction,gene expression regulation,R N A splicing and D N A-d a m a g e response.Overexpression of P R M T5 is frequently found in numerous h u m a n cancers with evidence indicative of an oncogene-like function. Here,an update on the recent advances of P R M T5 in cancer research i s provided and the promise of targeting P R M T S by small molecular inhibitors i s discussed for treating aggressive h u m a n cancers.K e y w o r d s cancer;protein arginine methyltransferases;P R M T5;gene expression regulation;targeted can­cer therapy with small molecules癌症是由于细胞恶性増殖、迁移和侵袭引发的 一类疾病,是导致人类死亡的第二大因素。

胎儿期染色体22q11.2微缺失综合征产前临床表型的分析研究

胎儿期染色体22q11.2微缺失综合征产前临床表型的分析研究

综合征 有研究表明该综合征是导致胎儿智力低 下生 长 发 育 迟 缓 组 织 器 官 畸 形 等的重要原因@%A 据报道!!B$$;!:D 发病率约 $I% <<< 男女患病率 比 较 差 异 无 统 计 学 意 义 F<JK"J的 患 儿会存在 先天性心脏畸形 L5.M*.,/01 N*0+/ 2,C*0C*9 LO: 如室间隔缺损法洛四联症主动脉弓发育异常等@PA
摘要:目的 探讨胎儿期产前诊断的染色体 !!B>>;! 微缺失综合征临床表型特征探讨进行 !!B>>;! 微缺失产前诊断的 必要性和意义以指导临床实践 方法 选择 !<>F 年 >> 月至 !<!> 年 & 月在江西省妇幼保健院产前诊断中心因产前筛查高 风险而就诊的应用染色体微阵列技术确诊的 !Q 例 !!B>>;! 微缺失综合征病例分析其临床表型 结果 !Q 例 !!B>>;! 微缺 失综合征胎儿中!> 例是因为孕中晚期超声检查异常行产前诊断确诊的占 F!;%JF 例是孕中期血清学唐氏综合征筛查高 风险后产前诊断确诊的占 !%;>J> 例是外周血胎儿游离 :?R 筛查异常经产前诊断确诊占 #;PJ 胎儿超声特征异常最常 见的是心脏结构异常 >& 例>&I!>?S 值异常#I!>等其中累积心脏异常最常见的是动脉弓部异常>>I>&在有随访资料 的 >P 例妊娠结局中选择引产 P 例胎儿发育异常 ! 例发育正常 K 例 结论 !!B>>;! 微缺失综合征以胎儿超声异常临床表 型为主其次是唐筛高风险 研究提示心脏发育异常的胎儿进行 !!B>>;! 微缺失产前诊断检测具有重要意义

EHHADH是肝细胞癌脂肪酸代谢通路的关键基因:基于转录组分析

EHHADH是肝细胞癌脂肪酸代谢通路的关键基因:基于转录组分析

肝癌是我国一种常见的恶性肿瘤,恶性程度较高,病情进展较快[1],也是60岁以下男性癌症死亡的主要原因[2]。

其中,肝细胞癌(HCC )占原发性肝癌的70%~80%[3]。

由于HCC 通常被诊断为晚期,因此许多患者错过了最佳的治疗方法。

HCC 的发生机制还未研究透彻,且由于HCC 是由多种致病因素引起的复杂疾病,有必要阐明HCC 发生发展的潜在分子机制,特别是寻找潜在的分子生物学标记物来改善HCC 患者的预后。

既EHHADH is a key gene in fatty acid metabolism pathways in hepatocellular carcinoma:a transcriptomic analysisXIE Siyu,LI Miaosheng,JIANG Fengle,YI Qian,YANG WeiDepartment of Pathology,School of Basic Medical Sciences,Southern Medical University,Guangzhou 510515,China摘要:目的基于多数据库数据探索肝细胞癌(HCC )发生发展的驱动基因并挖掘HCC 治疗的新生物靶点。

方法采用从TCGA 、GEO 和ICGC 数据库中获取的858例HCC 组织数据与493例癌旁组织数据(共1351例转录组和基因组数据),运用GSEA 筛选HCC 与癌旁的差异通路,进而筛选差异通路中显著富集的基因,获得Hub 基因3-hydroxyacyl CoA 脱氢酶(EHHADH )。

基于TCGA 的HCC 数据集分析与EHHADH 转录组水平下调相关的基因突变,发现TP53突变最显著相关。

利用相关性分析探究TP53突变导致EHHADH 表达下调的机制。

基于Metascape 数据库预测EHHADH 参与HCC 发展的信号通路,发现与铁死亡信号通路显著相关。

对30例HCC 癌组织及配对的癌旁正常组织进行免疫组化染色,验证EHHADH 的表达情况。

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Fractional Genomic Alteration Detected by Array-Based Comparative Genomic Hybridization Independently Predicts Survival after Hepatic Resection for Metastatic Colorectal CancerKshama R.Mehta,1Kentaro Nakao,4Marlene B.Zuraek,2Daniel T.Ruan,2Emily K.Bergsland,1Alan P.Venook,1Dan H.Moore,3Taku A.Tokuyasu,1Ajay N.Jain,1Robert S.Warren,2Jonathan P.Terdiman,1and Frederic M.Waldman11Comprehensive Cancer Center and Departments of2Surgery and3Epidemiology and Biostatistics,University of California,San Francisco,California and4Second Department of Surgery, Showa University School of Medicine,Tokyo,Japan ABSTRACTPurpose:Although liver resection is the primary curative therapy for patients with colorectal hepatic metastases,most patients have a recurrence.Identification of molecular markers that predict patients at highest risk for recurrence may help to target further therapy.Experimental Design:Array-based comparative genomic hybridization was used to investigate the association of DNA copy number alterations with outcome in patients with colorectal liver metastasis resected with curative intent. DNA from50liver metastases was labeled and hybridized onto an array consisting of2,463bacterial artificial chromo-some clones covering the entire genome.The total fraction of genome altered(FGA)in the metastases and the patient’s clinical risk score(CRS)were calculated to identify indepen-dent prognostic factors for survival.Results:An average of30F14%of the genome was altered in the liver metastases(14%gained and16%lost).As expected,a lower CRS was an independent predictor of overall survival(P=0.03).In addition,a high FGA also was an independent predictor of survival(P=0.01).The median survival time in patients with a low CRS(score0-2)and a high (z20%)FGA was38months compared with18months in patients with a low CRS and a low FGA.Supervised analyses, using Prediction Analysis of Microarrays and Significance Analysis of Microarrays,identified a set of clones,predom-inantly located on chromosomes7and20,which best predicted survival.Conclusions:Both FGA and CRS are independent predictors of survival in patients with resected hepatic colorectal cancer metastases.The greater the FGA,the more likely the patient is to survive.INTRODUCTIONResection is the primary curative therapy for colorectal cancer patients with isolated hepatic metastases(1).Long-term survival occurs in20%to40%of these patients(2)and may be enhanced by the delivery of postoperative systemic and regional chemotherapy(3).Several clinical variables have been found to be predictors of survival,including the five variables used in the validated clinical risk score(CRS):nodal status of the primary tumor,length of disease free interval from primary to metastasis,number of hepatic tumors,size of largest hepatic tumor,and preoperative carcinoembryonic antigen level(1). Long-term survival approaches60%among individuals with a favorable low CRS,whereas it is<15%among those with a high CRS(1).However,significant uncertainty remains for the individual patient.As a result,there is a great deal of interest in evaluating molecular markers as predictors of outcome to help with clinical decisions.The development and progression of colorectal cancer is a multistep process leading to the accumulation of genomic alterations that occur over the lifetime of a tumor(4).Central to that process is a loss of genomic integrity,with most colorectal cancers demonstrating gross chromosomal aberrations and abnormalities of nuclear DNA content(aneuploidy),whereas some tumors show microsatellite instability and have few cytogenetic abnormalities(5–7).Some studies have linked specific genomic alterations with clinical outcome in colorectal cancer patients,whereas others have examined the relationship of global measures of genomic integrity with outcome(8–10).A much smaller number of studies have focused these efforts on patients with hepatic metastases(11–17).Array-based comparative genomic hybridization(array CGH)allows for high-throughput,high-resolution,genome-wide screening of DNA copy number changes in solid tumors (18–20).Array CGH can provide an overview of the extent of genomic damage in a tumor at the chromosomal and subchromosomal level.In addition,specific copy number alterations detected by array CGH can be associated with clinical outcome,and in turn these copy number alterations canReceived7/18/04;revised11/29/04;accepted12/7/04.Grant support:National Cancer Institute grants CA92374(F.M.Waldman)and CA84019(R.S.Warren).The costs of publication of this article were defrayed in part by thepayment of page charges.This article must therefore be hereby markedadvertisement in accordance with18U.S.C.Section1734solely toindicate this fact.Note:K.R.Mehta and K.Nakao contributed equally as first authors tothis work.R.S.Warren,J.P.Terdiman,and F.M.Waldman contributedequally as senior authors.Requests for reprints:Frederic M.Waldman,University of California,San Francisco,Comprehensive Cancer Center,2340Sutter Street,RoomS436,San Francisco,CA94143-0808.Phone:415-476-3821;Fax:415-476-8218;E-mail:waldman@.D2005American Association for Cancer Research.Vol.11,1791–1797,March1,2005Clinical Cancer Research1791be directly related to sequence information to aid in the localization and identification of genes with predictive and prognostic potential(21–25).We previously have applied array CGH to primary colorectal tumors and were able to identify alterations in several small,previously uncharacterized genomic regions,such as on chromosomes8and20(26).In the current study,array CGH was used to investigate the association of DNA copy number alterations with clinical outcome in a set of colorectal liver metastases resected with curative intent.MATERIAL AND METHODSPatients and Samples.After approval by the University of California,San Francisco(UCSF)institutional review board, DNA was extracted from hepatic metastases of50patients with colorectal cancer removed with curative intent by a single surgeon(R.S.W.)at UCSF between1989and2002.No cases of familial colorectal cancer were included.There was no evidence of extrahepatic disease,and in each case the hepatic resection margin was tumor free based on pathology review. The tumors were surgically dissected and immediately frozen at À80j C.All samples were reviewed histologically to assure that >70%tumor cells were present before DNA extraction.DNA was extracted as previously described(24,25).Lymphocytic DNA from normal individuals was used as reference. Clinicopathologic data were obtained by written and telephone questionnaire and review of medical records.Patients are contacted at a minimum of every3to6months to assess disease-free and overall survival.The CRS was calculated using five preoperative variables with one point assigned to each of the following:node positive primary tumor,disease-free interval from primary to metastasis of<12months,number of hepatic tumors>1,largest hepatic tumor>5cm,and carcinoembryonic antigen level>200ng/mL.A score of0to2 was considered a low CRS score,whereas a score of3to5was considered a high score(1).Array-Based Comparative Genomic Hybridization.The arrays used in the study were prepared and hybridized as described previously(24–26).Human1.14arrays were obtained from the UCSF Cancer Center Array Core.The arrays consisted of2,463bacterial artificial chromosome clones that covered the human genome at a1.5-Mb resolution.Each tumor DNA sample was hybridized to the array as described previously,with minor modifications(26).Five hundred nanograms of tumor and reference DNA were fluorescently labeled with Cy3-and Cy5-dUTP by random priming.Hybridization was done for48hours in a formamide-based buffer with Cot-1DNA(Invitrogen,Carlsbad,CA)added to block repetitive sequences.Three,16-bit fluorescence single-color intensity images(4V,6-diamidino-2-phenylindole,cy3,and cy5)were collected from each array using a charge-coupled device camera(Sensys,Photometric,equipped with a Kodak KAF1400chip)coupled to a1Âoptical system.Data Analysis.Image data were analyzed by Spot and Sproc software as previously described(24–26).Spot exclusion criteria included the removal of unmapped clones and clones appearing in fewer than70%of the samples. Applying these selection criteria resulted in reducing the clone number from2,463to2,170clones.Removal of polymorphic clones further reduced the overall clone number to2,151 clones.5A series of10reference DNA versus reference DNA hybridizations were done to define the normal variation of the test to reference log2intensity ratio for each target clone.A slight clone to clone variability in the intensity ratios was observed,but the overall coefficient of variation was<10%.The log2ratios for each case were median centered to zero.The threshold for determining chromosome gain or loss was defined as log2ratio >0.225or less thanÀ0.225.This threshold corresponded to values between2and3SDs from the mean(see refs.19,21,25). In addition,high-level amplifications were defined as a log2ratio >0.9and high-magnitude deletions as log2ratio less thanÀ0.75. These thresholds were derived from analyses of cell lines with known gene amplifications and homozygous loss at defined loci. The threshold for gain or loss of an entire chromosome arm was defined as a median log2ratio of>0.14or less thanÀ0.14for all clones on the chromosome arm.The fraction of the genome gained or lost for each case was calculated as the sum of genomic distances represented by each clone.Microsatellite Instability.Tumor microsatellite instabil-ity status was determined using the BAT26microsatellite marker using standard methods(27).Tumors were defined as having microsatellite instability if a change of length mutation of at least 3bp was detected in the BAT26locus when comparing normal with tumor DNA.Statistical Analysis.The primary outcome of interest was overall survival,calculated from the date of hepatic resection to the date of death.Disease-free survival was considered as a secondary end point.Cox proportional hazards models were used for the univariate and multivariate analyses.All significant baseline variables from the univariate analysis(P<0.10)were included.Model choice was done using a backward selection with P<0.05as the exit criterion.All survival probabilities were estimated using the Kaplan-Meier method.The association of CRS and fraction of genome altered(FGA)with outcome was assessed with the variables defined in either continuous or dichotomous fashion.When analyzed as a dichotomous variable, low CRS was defined as a score of0to2,and high CRS as a score of3to5.Low FGA was defined as<20%of the genome altered and high FGA as z20%,based on the greatest separation between survivors and nonsurvivors.Differentially expressed clones between tumor subgroups were selected using Significance Analysis of Microarrays(SAM) analysis,and Prediction Analysis of Microarrays(PAM)was used to aid in the identification of clones that best predicted class (28,29).For these analyses,patients were categorized as having either a good prognosis(alive for z24months)or a bad prognosis(death before24months).Clone subsets were identified by limiting the false discovery rate to f25%for SAM or optimizing the cross-validated misclassification error rate for PAM to limit the number of clones in the predictive sets. Clones sets in common between the two analyses were then further analyzed by PAM to determine the overall classification 5Clone list is available in Mehta.polymorphisms found at:http:// /people/waldman/colon/mehta.html.Array CGH Predicts Survival in Metastatic Colon Cancer 1792success rate,using a threshold of0.Because multiple comparisons may result in a large number of individual clones appearing significant by chance alone,significance for individual clones was determined by a MaxT test using permutation analysis to control for family-wise false positive error rates(30). RESULTSClinical Characteristics and Outcomes.Fifty patients who underwent resection of colorectal cancer hepatic metastases with curative intent were the subjects of this study.None of the patients had evidence of extrahepatic disease at the time of their hepatic resection,all had resection margins free of tumor,and all survived a minimum of30days after their operation.The clinicopathologic and treatment characteristics of the study population are listed in Table1.6The median follow-up for these patients was30months.At last follow-up,42%of the patients were alive and26%were without recurrent disease.The median time to death after hepatic resection was24months and the median time to disease recurrence was10months.Five-year survival after hepatic resection was37%(95%confidence interval,22-52).Array-Based Comparative Genome Hybridization in Colorectal Cancer Hepatic Metastases.Array CGH was done on hepatic metastases from all50patients.An average of 660clones were gained or lost in tumor DNA samples, comprising30%of the genome(312clones gained representing 14F8%of the entire genome and348clones lost representing 16F7%of the genome;Fig.1A and B).7The most commonly altered regions(gained or lost in z50%of cases)were gains within chromosome arms7p,7q,8q,13q,and20q and losses within4p,4q,8p,17p,18p,18q,and22q(Fig.2).The mean number of clones demonstrating high-level amplifications and very low level deletions were16and17per case,respectively (representing0.8F1%of the entire genome amplified and 0.8F1%of the genome deleted).High-level amplifications were found most frequently among clones mapping to20q, whereas clones demonstrating very low level deletions mapped most commonly to8p and18q.The six clones amplified more than20%of the time were all on20q(RP11-13418,32.3Mb; RP11-138A15,37.8Mb;RP11-29H19,44.3Mb;RP11-169A6, 45.4Mb;RP11-15M15,53.4Mb;and RMC20P073,57.8Mb). The four clones that showed very low-level deletion f15%of the time mapped to8p(GS2177L23,0Mb;RP11-51C1, 23.5Mb)and18q(RP11-104N11,40.4Mb;RP11-60P1, 70.9Mb).Microsatellite Instability.Three cases(6%)were judged to be microsatellite unstable based on the presence of change of length mutations of BAT26.The average FGA in these three microsatellite instability cases was21.0F10.5%,whereas the FGA in the microsatellite stable cases was29.9F13.2%.Predictors of Clinical Outcome Clinical Risk Score. The CRS was predictive of both overall and disease-free survival in the Cox univariate analysis(P=0.03;Table1).The median overall survival among patents with a low CRS(score of0-2)was33months(mean,40.2months),compared with 24months(mean,29.3months)among those with a high CRS(score of3-5).The median disease-free survival among patients with a low CRS was14months(mean,28.0months), compared with12months(mean,16.3months)among those with a high CRS.Genomic Alterations.In the univariate analysis,ana-lyzed as either a continuous or dichotomous variable,the greater the FGA,the greater the likelihood of both overall(P= 0.01)and disease-free survival,although the latter did not reach statistical significance.The median overall survival for individuals with tumors with z20%of the genome altered was 33months(mean,39.6),compared with21months(mean,20.8) among those with a low FGA(<20%FGA).The median disease-free survival was14months(mean,25)among patients with a high FGA,compared with12months(mean,14.1)among those with a low FGA.To validate the association between high FGA and longer survival,the total number of chromosome arms gained or lost was determined and tested against outcome.The total number of chromosomal arms altered was predictive of overall survival (Cox P=0.01),with a greater number of chromosomal arm alterations associated with better outcome.Individual alteration of three chromosome arms,gain of7p(P=0.02),gain of7q (P=0.03),and loss of8p(0.03),were predictive of greater overall survival in the univariate analysis.The microsatellite instability status of the tumors was not predictive of overall or disease-free survival.Supervised analyses using PAM and SAM was done to identify a set of clones that best predicted which patients survived for z24months and which patients died within24 months.A set of111clones was identified that best dis-tinguished between the two groups,with an overall classification success rate of81%.These clones were predominantly located on chromosomes7and20.8Further analysis was undertaken to determine if any individual bacterial artificial chromosome clones showed a significant association with overall survival.The MaxT test, using permutation analysis to correct for the multiple compar-isons problem,was used.No individual clones were found to be significantly associated with overall survival.Multivariate Analysis.Both CRS and FGA were independent predictors of overall survival when analyzed as either continuous(P=0.01)or dichotomous variables(Table2). Patients with a low CRS or a high FGA also had a longer disease-free survival,although the association of CRS and FGA with disease-free survival did not reach statistical significance in the multivariate analysis(Table2).The median survival time in patients with a low CRS and a high FGA was38months (mean,47)compared with18months(mean,20)for low CRS and a low FGA(P=0.005;Fig.3).If the total number of chromosome arms altered was substituted for the FGA in the multivariate analysis,both total number of arms altered and CRS were independent predictors of overall survival(P=0.03 and P=0.02,respectively).The greater the number of6Data set is available in Mehta.clinicaldata found at:/ people/waldman/colon/mehta.html.7Data set is available in Mehta.data found at:/people/ waldman/colon/mehta.html.8Data set is available in Mehta.PAM-SAM found at:/ people/waldman/colon/mehta.html.Clinical Cancer Research1793chromosome arms altered,the greater the likelihood of survival.No individual chromosome arm,or clone,was an independent predictor of overall or disease-free survival when analyzed together with CRS and/or FGA.Interaction between Fraction of the Genome Altered and Clinicopathologic Variables.The FGA showed no association with the clinicopathologic variables tested,CRS,and its component parts.To test whether the association between FGA and survival was dependent on the delivery of systemic and/or regional chemotherapy,we compared outcomes in those patients with high versus low FGA,and in patient subsets who did or did not receive therapy.No interaction was seen between treatment status and FGA with respect to overall survival.DISCUSSIONThe CRS is predictive of survival in patients with colorectal cancer hepatic metastases who undergo potentially curative resection (1).However,much heterogeneity remains with respect to outcome,even among those with similar scores.Evaluation of molecular markers may help in the assessment of prognosis and affect future treatment strategies.In the current study,array CGH was applied to a series of 50hepatic metastases resected for cure to determine if specific genomic loci or the degree of genomic instability provide prognostic information beyond that available from the assessment of routine clinicopathologic variables.The chromosomal regions altered in these metastases were similar to those already described in our previous study of primary colorectal tumors (26).In the current study we show that FGATable 1Clinicopathologic predictors of overall and disease-free survival Variable Number (%)Overall survival,mean F SD (mo)PDisease-free survival,mean F SD (mo)PAge (y)64.2F 11.6y (mean F SD)<7031(62%)35.2F 23.63NS*23.0F 24.7NS z 7019(38%) 1.9F 14.119.7F 17.1Sex Male 25(50%)36.4F 24.7NS24.4F 26.5NSFemale 25(50%)31.5F 15.219.0F 16.4Met number 2.6F 2.5(mean F SD)120(40%)41.3F 24.10.0226.8F 28.0NSz 130(60%)29.1F 16.218.3F 16.6Met size (cm)5.4F 2.9cm (mean F SD)<529(58%)37.7F 21.10.0324.7F 23.9NS z 521(42%)28.8F 18.817.6F 18.9Met timing Synchronous 33(66%)33.5F 16.5NS19.6F 16.7NSMetachronous17(34%)34.8F 27.125.9F 29.9Preoperative CEA (ng/mL)111F 227ng/mL (mean F SD)<20044(88%)32.9F 18.1NS 20.7F 19.4NS z 2006(12%)41.5F 34.529.3F 38.0Node status Node +15(30%)33.3F 21.2NS19.9F 20.8NSNode À35(70%)35.6F 19.126.0F 24.8CRS2.5F 0.9(mean F SD)0-220(44%)40.2F 23.40.0328.0F 29.2NS 3-525(56%)29.3F 18.216.3F 14.7Primary stage I-II 9(18%)38.7F 21.5NS 31.1F 26.7NS III-IV 40(82%)33.3F 20.519.7F 20.9Tumor grade Well/moderate 46(92%)35.3F 20.70.0122.9F 22.50.03Poor4(8%)19.3F 8.88F 4.1Systemic/regional chemotherapy post resection Yes 30(60%)34.0F 15.2NS 20.4F 16.7NS No20(40%)34.0F 26.923.8F 28.5Microsatellite instability Stable 44(94%)34.2F 20.2NS21.5F 21.2NSUnstable 3(6%)33.5F 28.724.5F 33.7FGA (%)30.3F 13.7%(mean F SD)<2015(30%)20.8F 10.90.0114.1F 12.1NSz 2035(70%)39.6F 21.125F 24.5Abbreviations:NS,not significant;Met,metastasis;CEA,carcinoembryonic antigen.*Not significant,P z 0.10.Array CGH Predicts Survival in Metastatic Colon Cancer1794is an independent predictor of overall survival and adds important predictive information to that available when using the CRS alone.Some previous reports have found that greater genomic alteration in a tumor is associated with poorer outcome (31–38),whereas others have either seen no such relationship (13,15,39–41)or,as in this study,have found that greater genomic damage is associated with better outcome (42).Rooney et al.showed that a greater number of chromosomal arm aberrations detected by conventional CGH was associated with improved survival in patients with node positive colorectal cancer (42).Scott et al.did not observe an increase in aneuploidy in higher stage tumors,but rather observed a decrease in DNA index in lymph node metastases (39).In that study,40%of higher stage cancers were diploid tumors,whereas all low-stage tumors were aneuploid.Crowe et al.found no correlation between overall or disease-free survival and the degree of aneuploidy in a set of 71hepatic colorectal cancer metastases removed for cure (15).On the other hand,Risques et al.found that greater aneuploidy correlated with tumor stage,metastasis,and poor outcome in colorectal cancers,but,interestingly,they also found a subset of diploid tumors with no evidence of microsatellite or chromo-somal instability that were highly aggressive and had a poor prognosis (43).Some of the differences reported in the relationship between genomic instability and outcome in colorectal cancer may stem from differences in the stage of the tumors studied.Across allstudies,the extent of genomic alteration increases as one moves from adenoma to invasive cancer to metastasis,regardless of the methodology used to assess it (44–47).Most studies also find that there is an increased extent of genomic alteration with progression in early-stage tumors,and that extent of genomic alteration is a marker for poor outcome in these early cancers (31–34,36).However,the association between the extent of genomic alteration and outcome is much less clear in studies,including ours,that have focused on advanced tumors (13,15).The results of the current study are consistent with the hypothesis that genomic instability is required for cancer progression.However,too much instability may result in accumulated damage that increases above a threshold for cell viability (48).Instability leading to increased genomic diversity may be especially critical for the progression of early-stage tumors (44,49,50),but ongoing instability may even be counterproductive for continued growth and further metastatic spread of advanced tumors (48).In the current study,the average FGA was 30%,higher than previously found in a set of primary tumors also analyzed by array CGH (26).Among the currentsetFig.1Representative array CGH profiles from cases demonstrating either low (A )or high (B )FGA (8.6%and 59.5%,respectively).Profiles show copy number alterations relative to normal DNA ordered by chromosome with each spot representing one clone.The thresholds for determining chromosome gain or loss were defined as log 2ratio >0.225or <À0.225,respectively,and the thresholds for determining amplifica-tion or very low level deletion were defined as log 2ratio of >0.9or <À0.75,respectively.Fig.2Frequency of DNA copy number alterations by array-based CGH.Data are presented ordered by chromosomal map position of the clones.Bottom bars represent losses,and top bars represent gains.The dashed lines represent the location of thecentromeres.Fig.3Kaplan-Meier curves for overall survival as a function of FGA and CRS.High FGA was defined as z 20%of the genome gained or lost.High CRS was defined as a score of 3to 5.Clinical Cancer Research 1795of advanced tumors,however,instability was associated with less aggressive behavior.The hypothesis that the association between the extent of genomic instability and survival may depend on the stage of colorectal cancer is supported by data regarding microsatellite unstable tumors found in patients with hereditary nonpolyposis colorectal cancer (HNPCC).Early high-level genomic instabil-ity,in this case microsatellite instability rather than chromo-somal instability,which occurs in HNPCC leads to an increased rate of adenoma formation and transition from adenoma to invasive carcinoma (51–53).However,invasive cancers in HNPCC are less likely to metastasize,and survival is better,than in sporadic microsatellite stable tumors matched for stage and location (54–56).One possible explanation is that once invasive cancer has developed,ongoing high rates of genomic instability,regardless of the type,may decrease tumor growth or viability.In the current study,PAM and SAM analyses did define a set of f 100clones,predominantly located on chromosomes 7and 20,whose alteration was associated with better survival.The results of our PAM and SAM analyses are not dissimilar to those recently reported by Knosel et al.(38).In the latter study,using conventional CGH,loss of 18q or gain of 20q was associated with significantly longer disease-free survival.Our study did not confirm the often reported association between genomic alterations involving 8p,8q,17p,18q,or 20q and worse outcome in primary colorectal cancer (8–10),as well as a report showing allelic imbalance of 17p was an independent predictor of worse overall and disease-free survival in a set of 141hepatic metastases from colorectal cancer resected for cure (13).Limitations of the current study include the limited sample size,the fact that the extent of genomic alteration was assessed using only a single experimental method,and the fact that this is a retrospective study of patients followed outside of a clinical trial,and thus had no established protocol for tumor surveillance.The results need to be confirmed in an independent and larger set of metastatic colorectal tumors,using both array CGH and alternate techniques to measure global genomic alteration.Establishing whether a similar association between genomic instability and outcome also holds in earlier stage tumors would be of obvious clinical interest.A larger set of patients will allow a more complete exploration of the relationship between specific genomic alterations and outcome,as well as confirm the finding that FGA is an independent predictor of survival.The choice of overall survival as the primary end point in the study was because of the certainty with which that end point could be assessed in this retrospective analysis.Although disease-freesurvival was greater in patients with a low CRS or a high FGA,the inability to find a statistically significant association may be related to the lack of an established protocol to detect tumor recurrence in the study population.In summary,the greater the total FGA in resected hepatic colorectal cancer metastases,as determined by array CGH,the more likely patients were to survive.The improved survival in patients with a greater FGA was independent of their CRS.In addition to confirming this finding,future research will explore the biological mechanisms,such as the relationship between proliferation and apoptosis and the FGA,which may account for this association.The ultimate translation of these findings,once validated,to the clinical environment will require modifications of these research techniques to allow for timely and robust assessment of genomic instability of tumor samples in the clinical laboratory.ACKNOWLEDGMENTSWe thank S.DeVries for her help in the application of CGH array technology to colorectal samples.Microarrays were provided by D.Pinkel and D.Albertson of the University of California in San Francisco Cancer Center Array Core,with funding provided by National Cancer Institute P30CA 82103.REFERENCES1.Fong Y ,Fortner J,Sun RL,Brennan MF,Blumgart LH.Clinical score for predicting recurrence after hepatic resection for metastatic colorectal cancer:analysis of 1001consecutive cases.Ann Surg 1999;230:309–18.2.Nordlinger B,Guiguet M,Vaillant JC,et al.Surgical resection of colorectal carcinoma metastases to the liver.A prognostic scoring system to improve case selection,based on 1568patients.Association Francaise de Chirurgie.Cancer 1996;77:1254–62.3.Kemeny N,Huang Y ,Cohen AM,et al.Hepatic arterial infusion of chemotherapy after resection of hepatic metastases from colorectal cancer.N Engl J Med 1999;341:2039–48.4.Fearon ER,V ogelstein B.A genetic model for colorectal tumorigen-esis.Cell 1990;61:759–67.5.Kinzler KW,V ogelstein B.Lessons from hereditary colorectal cancer.Cell 1996;87:159–70.6.Lengauer C,Kinzler KW,V ogelstein B.Genetic instability in colorectal cancers.Nature 1997;386:623–7.7.Olschwang S,Hamelin R,Laurent-Puig P,et al.Alternative genetic pathways in colorectal carcinogenesis.Proc Natl Acad Sci U S A 1997;94:12122–7.8.Leichman CG.Predictive and prognostic markers in gastrointestinal cancers.Curr Opin Oncol 2001;13:291–9.9.Anderson GR,Brenner BM.Molecular markers in colorectal ncet 2002;359:183–4.10.Kahlenberg MS,Sullivan JM,Witmer DD,Petrelli NJ.Molecular prognostics in colorectal cancer.Surg Oncol 2003;12:173–86.11.Kastrinakis WV,Ramchurren N,Maggard M,Steele G Jr,Summerhayes IC.K-ras status does not predict successful hepatic resection of colorectal cancer metastasis.Arch Surg 1995;130:9–14.12.Belluco C,Guillem JG,Kemeny N,et al.p53nuclear protein overexpression in colorectal cancer:a dominant predictor of survival in patients with advanced hepatic metastases.J Clin Oncol 1996;14:2696–701.13.Kochhar R,Halling KC,McDonnell S,et al.Allelic imbalance and microsatellite instability in resected Duke’s D colorectal cancer.Diagn Mol Pathol 1997;6:78–84.Table 2Multivariate analysisHazard (95%CI)P value Overall survival FGA*0.37(0.17-0.82)0.02CRS y2.12(0.91-4.91)0.08Disease-free survival FGA*0.71(0.34-1.48)0.35CRS y1.49(0.73-3.02)0.27Abbreviation:CI,confidence interval.*High FGA defined as z 20%.y High CRS defined as 3to 5.Array CGH Predicts Survival in Metastatic Colon Cancer1796。

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