Von hippel-lindaus disease: Report of three cases and review of the literature

The authors present the autopsy findings of two related patients and the biopsy findings of a thrid member of the family. The oldest member was 34 years old at death and on postmortem examination he had haemangioblastomas in the retina, cerebellum, medulla and spinal cord. Other findings were renal cell carcinoma, phaechromocytoma, cysts of kidney and pancreas, hydromyelia and atypical meningiomas. His brother died when 30 years old. The autopsy revealed haemangioblastomas of cerebellum, renal cell carcinoma and a clear cell cystadenoma of epididymus. The third patient was the daughter of the first and presented with headache and dizziness. CT-scan showed a cerebellar haemangioblastoma. Epidemiological considerations on the commonest visceral and CNS lesions and a review of current diagnostic criteria are discussed.Os autores relatam os achados de autópsia de dois pacientes de uma mesma família e o diagnóstico por biópsia de hemangioblastoma de um terceiro membro desta mesma família. O primeiro paciente tinha 34 anos por ocasião do óbito e os achados de necrópsia mostraram hemangioblastoma de retina, cerebelo, bulbo e medula espinhal, além de carcinoma renal, feocromocitoma, lesões císticas de rim e pâncreas, hidromielia e meningiomas atípicos. Seu irmão morreu com 30 anos de idade e a autópsia revelou hemangioblastomas de cerebelo, carcinoma renal e cistoadenoma de células claras de epididimo. A terceira paciente era filha do primeiro paciente e apresentou cefaléia e ataxia. A tomografia computadorizada mostrou lesão cerebelar cística e a biópsia confirmou tratar-se de hemangioblastoma. São feitas considerações epidemiológicas sobre lesões viscerais e do sistema nervoso mais comumente encontradas, além de discutir critérios diagnósticos

Estimating the referral rate for cancer genetic assessment from a systematic review of the evidence

To estimate the optimal proportion of new patients diagnosed with cancer who require assessment and evaluation for familial cancer genetic risk, based on the best evidence available. We identified evidence of the patients who require assessment for familial genetic risk when diagnosed with cancer through extensive literature reviews and searches of guidelines. Epidemiological data on the distribution of cancer type, presence of a family history, age and other factors that influence referral for genetic assessment were identified. Decision trees were constructed to merge the evidence-based recommendations with the epidemiological data to calculate the optimal proportion of patients who should be referred. We identified ‘high probability' and ‘moderate probability' groups for having a genetic susceptibility. The proportion of patients diagnosed with cancer in Australia who have a high probability of having a genetic predisposition and who should be referred for genetic assessment is 1%. If the moderate probability group is also assessed this proportion increases to 6%. This model has identified the proportion of new patients diagnosed with cancer who should be referred for genetic assessment. This data is the first step in determining the resources required for provision of an adequate cancer genetic service

Loss of heterozygosity on chromosome 16p13.3 in hamartomas from tuberous sclerosis patients

Tuberous sclerosis (TSC) is an autosomal dominant condition with characteristic skin lesions, mental handicap, seizures and the development of hamartomas in the brain, heart, kidneys and other organs. Linkage studies have shown locus heterogeneity with a TSC gene mapped to chromosome 9q34 and a second, recently identified on 16p13.3. We have analysed DNA markers in eight hamartomas and one tumour from TSC patients and found allele loss on 16p13.3 in three angiomyolipomas, one cardiac rhabdomyoma, one cortical tuber and one giant cell astrocytoma. We suggest that the TSC gene on 16p13.3 functions like a tumour suppressor gene, in accordance with Knudsen's hypothesis

Modern classification of neoplasms: reconciling differences between morphologic and molecular approaches

BACKGROUND: For over 150 years, pathologists have relied on histomorphology to classify and diagnose neoplasms. Their success has been stunning, permitting the accurate diagnosis of thousands of different types of neoplasms using only a microscope and a trained eye. In the past two decades, cancer genomics has challenged the supremacy of histomorphology by identifying genetic alterations shared by morphologically diverse tumors and by finding genetic features that distinguish subgroups of morphologically homogeneous tumors. DISCUSSION: The Developmental Lineage Classification and Taxonomy of Neoplasms groups neoplasms by their embryologic origin. The putative value of this classification is based on the expectation that tumors of a common developmental lineage will share common metabolic pathways and common responses to drugs that target these pathways. The purpose of this manuscript is to show that grouping tumors according to their developmental lineage can reconcile certain fundamental discrepancies resulting from morphologic and molecular approaches to neoplasm classification. In this study, six issues in tumor classification are described that exemplify the growing rift between morphologic and molecular approaches to tumor classification: 1) the morphologic separation between epithelial and non-epithelial tumors; 2) the grouping of tumors based on shared cellular functions; 3) the distinction between germ cell tumors and pluripotent tumors of non-germ cell origin; 4) the distinction between tumors that have lost their differentiation and tumors that arise from uncommitted stem cells; 5) the molecular properties shared by morphologically disparate tumors that have a common developmental lineage, and 6) the problem of re-classifying morphologically identical but clinically distinct subsets of tumors. The discussion of these issues in the context of describing different methods of tumor classification is intended to underscore the clinical value of a robust tumor classification. SUMMARY: A classification of neoplasms should guide the rational design and selection of a new generation of cancer medications targeted to metabolic pathways. Without a scientifically sound neoplasm classification, biological measurements on individual tumor samples cannot be generalized to class-related tumors, and constitutive properties common to a class of tumors cannot be distinguished from uninformative data in complex and chaotic biological systems. This paper discusses the importance of biological classification and examines several different approaches to the specific problem of tumor classification