Patterns of homicide Houston: Texas, 1987

The situational and interpersonal characteristics of homicides occurring in Houston, Texas, during 1987 were investigated. A total of 328 cases were ascertained from the linking of police computer data, medical examiner's records, and death certificate information. The medical examiner's records contained all of the ascertained cases. The comparability ratio between the medical examiner's records and police and vital statistic data was 1.03 and 0.966, respectively. Data inconsistencies were found between the three information sources on Spanish surname, age, race/ethnicity, external cause of death coding, alcohol and drug involvement, weapon/method used, and Hispanic immigration status. Recommendations for improving the quality of homicide information gathered and for linking homicide surveillance systems were made.^ Males constituted 82% of all victims. The age-adjusted homicide rate for Blacks was 31.1 per 100,000 population, for Hispanics 19.2, and for Anglos 5.4. Among males, Blacks had an age-adjusted rate of 54.5, Hispanics, 31.0, and Anglos 7.5. Among females, Blacks had an age-adjusted rate of 9.3, Hispanics 6.1, and Anglos 3.1. Black males, ages 25-34, had the highest homicide rate, at 96.5.^ Half of all homicides occurred in a residence. Among Hispanic males, homicides occurred most often in the street. Firearms were used to commit 64% of the homicides. Arguments preceded 58% of all cases. Nearly two-thirds of the victims knew their assailant. Only 15% of males compared to 62% of females were killed by a spouse, an intimate acquaintance, or a family member. Blacks (93%) and Hispanics (88%) were more likely than Anglos (70%) to have been killed by persons of the same race/ethnicity. Nearly three-fourths of all Houston Hispanic homicide victims were foreign born.^ Alcohol was detected in 47% of the victims tested. Nearly one-third of those tested had blood alcohol concentrations (BACs) greater than 100 mg%. Males (53%) were more likely than females (20%) to have positive BACs. Hispanic males (64%) were more likely to have detectable BACs than either Black (51%) or Anglo (44%) males.^ Illegal drugs were detected in 20% of the victims tested. One-fourth of the victims who tested positive for drugs had more than one drug in their system at death. The stimulant cocaine was the most commonly detected drug, comprising 53% of all illegal drugs identified.^ Recommendations for the primary, secondary, and tertiary prevention of homicide and for future homicide research are made. ^

A NEW TUMOR SUPPRESSOR GENE CANDIDATE REGULATED BY THE NON-CODING RNA PCA3 IN HUMAN PROSTATE CANCER

Prostate cancer is the second leading cause of cancer-related death and the most common non-skin cancer in men in the USA. Considerable advancements in the practice of medicine have allowed a significant improvement in the diagnosis and treatment of this disease and, in recent years, both incidence and mortality rates have been slightly declining. However, it is still estimated that 1 man in 6 will be diagnosed with prostate cancer during his lifetime, and 1 man in 35 will die of the disease. In order to identify novel strategies and effective therapeutic approaches in the fight against prostate cancer, it is imperative to improve our understanding of its complex biology since many aspects of prostate cancer initiation and progression still remain elusive. The study of tumor biomarkers, due to their specific altered expression in tumor versus normal tissue, is a valid tool for elucidating key aspects of cancer biology, and may provide important insights into the molecular mechanisms underlining the tumorigenesis process of prostate cancer. PCA3, is considered the most specific prostate cancer biomarker, however its biological role, until now, remained unknown. PCA3 is a long non-coding RNA (ncRNA) expressed from chromosome 9q21 and its study led us to the discovery of a novel human gene, PC-TSGC, transcribed from the opposite strand and in an antisense orientation to PCA3. With the work presented in this thesis, we demonstrate that PCA3 exerts a negative regulatory role over PC-TSGC, and we propose PC-TSGC to be a new tumor suppressor gene that contrasts the transformation of prostate cells by inhibiting Rho-GTPases signaling pathways. Our findings provide a biological role for PCA3 in prostate cancer and suggest a new mechanism of tumor suppressor gene inactivation mediated by non-coding RNA. Also, the characterization of PCA3 and PC-TSGC led us to propose a new molecular pathway involving both genes in the transformation process of the prostate, thus providing a new piece of the jigsaw puzzle representing the complex biology of prostate cancer.

Dynamic population coding in primary visual cortex

More than a century ago Ramon y Cajal pioneered the description of neural circuits. Currently, new techniques are being developed to streamline the characterization of entire neural circuits. Even if this 'connectome' approach is successful, it will represent only a static description of neural circuits. Thus, a fundamental question in neuroscience is to understand how information is dynamically represented by neural populations. In this thesis, I studied two main aspects of dynamical population codes. ^ First, I studied how the exposure or adaptation, for a fraction of a second to oriented gratings dynamically changes the population response of primary visual cortex neurons. The effects of adaptation to oriented gratings have been extensively explored in psychophysical and electrophysiological experiments. However, whether rapid adaptation might induce a change in the primary visual cortex's functional connectivity to dynamically impact the population coding accuracy is currently unknown. To address this issue, we performed multi-electrode recordings in primary visual cortex, where adaptation has been previously shown to induce changes in the selectivity and response amplitude of individual neurons. We found that adaptation improves the population coding accuracy. The improvement was more prominent for iso- and orthogonal orientation adaptation, consistent with previously reported psychophysical experiments. We propose that selective decorrelation is a metabolically inexpensive mechanism that the visual system employs to dynamically adapt the neural responses to the statistics of the input stimuli to improve coding efficiency. ^ Second, I investigated how ongoing activity modulates orientation coding in single neurons, neural populations and behavior. Cortical networks are never silent even in the absence of external stimulation. The ongoing activity can account for up to 80% of the metabolic energy consumed by the brain. Thus, a fundamental question is to understand the functional role of ongoing activity and its impact on neural computations. I studied how the orientation coding by individual neurons and cell populations in primary visual cortex depend on the spontaneous activity before stimulus presentation. We hypothesized that since the ongoing activity of nearby neurons is strongly correlated, it would influence the ability of the entire population of orientation-selective cells to process orientation depending on the prestimulus spontaneous state. Our findings demonstrate that ongoing activity dynamically filters incoming stimuli to shape the accuracy of orientation coding by individual neurons and cell populations and this interaction affects behavioral performance. In summary, this thesis is a contribution to the study of how dynamic internal states such as rapid adaptation and ongoing activity modulate the population code accuracy. ^