[Second primary tumors in head and neck cancer]. / Segundos tumores primarios en el cáncer escamoso de cabeza y cuello.

INTRODUCTION: The development of second primary tumors (SPT) in patients with head and neck squamous cell carcinoma (HNSCC) has become an increasingly important factor in clinical treatment decisions. PURPOSE: To define favourable clinical characteristics for overall survival, in patients with SP head and neck cancer. MATERIAL AND METHOD: Records of 633 patients with SCC treated from 1984 to 2004 were reviewed to describe clinical characteristics of the SPT. RESULTS: The overall incidence of SPT was 11%. The incidence of the index tumors was as follows: supraglottic cancer 21% and oral cancer 16%. The most common SPT occurred in head and neck area in 47%, lung in 32% and esophagus in 11%. Second primary was associated with a poor 5 years survival in patients with HN-SCC (23 versus 53% in control group). CONCLUSION: Because of the high rate of second primary tumors, protocols including chemoprophylaxis should be investigated. Prevention and early detection are indicated.

DNA copy number changes at 8q11-24 in metastasized colorectal cancer.

BACKGROUND: C-Myc, a well-known oncogene located on 8q24.12-q24.23, is often amplified and over-expressed in both primary and metastasizing colorectal cancer. In addition, PRL-3 (also known as PTP4A3), a tyrosine phosphatase located on 8q24.3, is amplified in colorectal cancer metastasis. Beside PRL-3 and c-myc, other oncogenes located on the 8q23-24 region might be involved in this process. Therefore, the present study aims to correlate DNA copy number status of a series of genes at 8q23-24 in colorectal cancer at high resolution in correlation to metastatic disease. MATERIALS AND METHODS: Thirty-two cases of colorectal cancer, 10 stage B1, 10 B2 and 12 D (Astler-Coller) with their corresponding liver metastasis and one colorectal cell line (colo205, previously analyzed by array-CGH), were included in this study. A chromosome 8 specific MLPA probe mixture was used to analyze the presence of DNA copy number changes. The probe mixture contained 29 probes covering 25 genes on chromosome 8, as well as 6 control probes on other chromosomes. RESULTS AND DISCUSSION: MLPA results obtained of the colo205 colorectal cell line were comparable with previous array-CGH results, thus validating the MLPA probe mixture. Astler-Coller B1 and B2 colorectal cancers differed significantly in DNA copy number of the genes, MOS (p=0.04), MYC (p=0.007), DDEF1 (p=0.004), PTK2 (p=0.02) and PTP4A3 (p=0.04). When comparing these with Astler-Coller D primary tumors, significant differences were seen for several genes as well (MYC (p<0.000), DDEF1 (p<0.000), SLA (p<0.000), PTK2 (p<0.000), PTP4A3 (p=0.002), and RECQL4 (p=0.01)). When comparing primary Astler-Coller D tumors and their corresponding liver metastases, a similar pattern of gains and losses was observed. Most of the liver metastases showed higher DNA copy number ratios than the corresponding primary tumors, but this difference was only significant for TPD52 (p=0.02) and EIF3S6 (p=0.007). CONCLUSION: In addition to c-myc, multiple genes on chromosome 8 differed significantly between primary colorectal cancers with and without liver metastases. This observation is consistent with the concept that clinical behaviour, like risk of liver metastasis, is determined by the genomic profile that is already present in the primary tumor.

Chromosomal instability in flat adenomas and carcinomas of the colon.

Flat adenomas are flat or slightly elevated dysplastic lesions of the colorectal mucosa, mostly with a tubular architecture. Compared with polypoid adenomas of similar size, flat adenomas show a higher frequency of high-grade dysplasia and rapid submucosal invasion. The aim of this study was to survey whether flat colorectal lesions differ in their pattern of chromosomal aberrations from their polypoid counterparts. Six flat adenomas and 12 flat carcinomas were analysed by comparative genomic hybridization (CGH) and the pattern of chromosomal aberrations was compared with a previously published series of 112 polypoid adenomas and 82 polypoid carcinomas. In addition, multiplex ligation-dependent probe amplification (MLPA) for identifying DNA copy number changes of 25 individual genes on chromosome 20 was performed on 14 flat and 15 polypoid tumours. With CGH, flat adenomas showed on average 1.8 gains (range 1-4) and 3.2 losses (range 0-4), and the flat carcinomas 4.5 gains (range 0-8) and 3.5 losses (range 1-6). In both adenomas and carcinomas, high frequencies of 20q gain (83% and 92%, respectively) and 18q loss (83% and 92%, respectively) were found. This correlation between 20q gain and 18q loss had previously been observed in a subgroup of polypoid colorectal tumours. Both flat and polypoid colorectal tumours with 20q gains by CGH showed similar patterns of copy number ratios for the individual genes tested. TOP1, BCL2L1, and E2F1 had median copy number ratios of 2 or higher, while ZNF217 had a ratio around 3. In conclusion, flat adenomas and carcinomas of the large intestine show a similar pattern of chromosomal aberrations to that observed in a specific subgroup of polypoid lesions. The transcription factor ZNF217 is an important candidate for driving the 20q gain.

Genomics and proteomics in cancer.

Cancer development is driven by the accumulation of DNA changes in the approximately 40000 chromosomal genes. In solid tumours, chromosomal numerical/structural aberrations are common. DNA repair defects may lead to genome-wide genetic instability, which can drive further cancer progression. The genes code the actual players in the cellular processes, the 100000-10 million proteins, which in (pre)malignant cells can also be altered in a variety of ways. Over the past decade, our knowledge of the human genome and Genomics (the study of the human genome) in (pre)malignancies has increased enormously and Proteomics (the analysis of the protein complement of the genome) has taken off as well. Both will play an increasingly important role. In this article, a short description of the essential molecular biological cell processes is given. Important genomic and proteomic research methods are described and illustrated. Applications are still limited, but the evidence so far is exciting. Will genomics replace classical diagnostic or prognostic procedures? In breast cancers, the gene expression array is stronger than classical criteria, but in endometrial hyperplasia, quantitative morphological features are more cost-effective than genetic testing. It is still too early to make strong statements, the more so because it is expected that genomics and proteomics will expand rapidly. However, it is likely that they will take a central place in the understanding, diagnosis, monitoring and treatment of (pre)cancers of many different sites.

Comparative genomic hybridisation divides retinoblastomas into a high and a low level chromosomal instability group.

BACKGROUND: Retinoblastoma is the most common intraocular malignancy in childhood and is responsible for approximately 1% of all deaths caused by childhood cancer. AIMS/METHODS: Comparative genomic hybridisation was performed on 13 consecutive, histologically confirmed retinoblastomas to analyse patterns of chromosomal changes and correlate these to clinicopathological variables. Six cases were hereditary and seven cases were sporadic. RESULTS: In 11 of the 13 tumours chromosomal abnormalities were detected, most frequently gains. Frequent chromosomal gains concerned 6p (46%), 1q (38%), 2p, 9q (30%), 5p, 7q, 10q, 17q, and 20q (23%). Frequent losses occurred at Xq (46%), 13q14, 16q, and 4q (23%). High level copy number gains were found at 5p15 and 6p11-12. A loss at 13q14 occurred in three cases only. Relatively few events occurred in the hereditary cases (27) compared with the non-hereditary cases (70 events). The number of chromosomal aberrations in these 13 retinoblastomas showed a bimodal distribution. Seven tumours showed less than four chromosomal aberrations, falling into a low level chromosomal instability (CIN) group, and six tumours showed at least eight aberrations, falling into a high level CIN group. In the low level CIN group the mean age was half that seen in the high level CIN group, there were less male patients, and there were more hereditary and bilateral cases. Microsatellite instability was not detected in either of the two groups. CONCLUSION: Despite the complex pattern of genetic changes in retinoblastomas, certain chromosomal regions appear to be affected preferentially. On the basis of the number of genetic events, retinoblastomas can be divided in low and a high level chromosomal instability groups, which have striking differences in clinical presentation.