From Discovery to Practice

With expertise in population-based research and causal inference, investigators at the Institute for Translational Epidemiology at the Icahn School of Medicine at Mount Sinai are advancing the understanding of the etiology and epidemiology of cancer and other chronic diseases. Our research explores how genetic, environmental, behavioral, and social determinants interact to influence disease risk and progression across diverse populations. By leveraging large-scale cohorts, electronic health records, and molecular data, we aim to uncover pathways linking exposures to disease outcomes and to identify populations at highest risk. These studies not only illuminate mechanisms of disease development but also inform targeted prevention strategies and equitable approaches to early detection and intervention.

With the introduction of novel, groundbreaking therapeutic approaches, researchers at the Institute for Translational Epidemiology are well positioned to study the effect of these therapies on long-term survival and quality of life. It is also important to assess if appropriate treatment is administered equally to all the patients in need of such treatment, or if the same racial/ethnic disparities observed in disease prevention and early detection persist in disease treatment. Our investigators are also exploring the comparative effectiveness of alternative treatments in real-life settings, where patients suitable for treatment belong to a variety of ages and races, have a spectrum of comorbidities, and differ in insurance coverage. Evaluating therapeutic approaches in such diverse segments of the population offers insights into the translation of new discovery science into clinical practice.

Research Areas

As patients age, they often experience multiple comorbidities and age-related declines in physical and mental health, complicating cancer treatment decisions. These patients must weigh survival benefits against treatment toxicity, functional decline, and reductions in quality of life. Despite this complexity and the growing evidence base, significant gaps persist in developing and implementing comprehensive guidelines for cancer treatment in older adults.

Our research aims to inform the development of comprehensive guidelines for cancer treatment in older adults, particularly those with comorbidities like dementia or affected by disparities in access to and high-quality care, to ensure that care decisions prioritize both quality of life and life expectancy.

Following the tragedy of Hurricane Sandy, the Institute for Translational Epidemiology collaborated with the Renaissance School of Medicine at Stony Brook University and the Zucker School of Medicine at Hofstra/Northwell to conduct research on disaster health, trauma, and resilience. We use advanced data and surveillance methodology to aid in individual and community-level prevention and resilience and to build quicker, more effective response and intervention during and immediately after disasters and other traumatic experiences.

A recent study conducted by our team evaluated the efficacy of the Disaster Worker Resiliency Training Program among Hurricane Sandy responders. The results showed that participants reported significant improvements in healthy lifestyle behaviors, stress management, and spiritual growth. Moreover, when faced with subsequent trauma exposures, those who had participated demonstrated greater resilience with reduced incidence of stress, PTSD, and depression symptoms. In another study, we examined the relationship between flooding, socioeconomic status, and toxic site incidents during Hurricane Harvey in the Houston area. Our findings revealed that despite similar flooding across toxic sites, areas with lower socioeconomic status were more likely to experience toxic releases during the storm. This research underscores the importance of addressing socioeconomic disparities in disaster preparedness and response, and informs our efforts to develop targeted interventions that can enhance community resilience across all population segments.

As World Trade Center responders age, there is growing concern about occupational cancers caused by exposure to toxins and carcinogens at the disaster site. Complementing the Center for Disease Control’s World Trade Center Health Program, the Institute for Translational Epidemiology has enabled molecular and mechanistic studies of WTC-related cancer by collecting tumor tissues from WTC responders.  We have thus far collected more than 500 specimens from World Trade Center responders, representing a diverse range of solid cancers. Coupled with anonymous clinical information from the World Trade Center Health Program, investigators have endless possibilities for studies on cancer etiology, biology, outcomes, and gene-environment interaction. The goal is to address questions regarding specific carcinogenic exposures and cancer, molecular signatures of exposure, and specific markers of tumor aggressiveness. To collaborate with us, please fill out the World Trade Center Collaboration Request Form.

Our research extends beyond human subjects to include experimental studies using rodent models. Researchers at the Institute for Translational Epidemiology have recreated World Trade Center exposure conditions in rodents to observe systemic and local biological responses. This approach aids in interpreting epidemiological observations and understanding the carcinogenesis process in the exposed human World Trade Center cohort. Animal tissues are accompanied by detailed annotations of experimental design, World Trade Center dust concentration and exposure routes, genetic background of the rodents, and tissue isolation methods.

These combined resources offer unprecedented opportunities for high-impact studies on environmental exposures, cancer etiology, outcomes, and gene-environment interactions in this unique population. By bridging animal models with human data, we aim to advance our understanding of World Trade Center exposure-related cancers, potentially informing new treatment modalities and improving survival outcomes for affected individuals.

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