OBJECTIVE: MSM in India are at a high risk for HIV infection given psychosocial challenges, sexual orientation stress, and stigma. We examined the cost-effectiveness of a novel resilience-based psychosocial intervention for MSM in India. DESIGN: We parameterized a validated microsimulation model (CEPAC) with India-specific data and results from a randomized trial and examined two strategies for MSM: status quo HIV care ( SQ ), and a trial-based psychosocial intervention ( INT ) focused on building resilience to stress, improving mental health, and reducing condomless anal sex (CAS). METHODS: We projected lifetime clinical and economic outcomes for MSM without HIV initially. Intervention effectiveness, defined as reduction in self-reported CAS, was estimated at 38%; cost was $49.37/participant. We used a willingness-to-pay threshold of US$2100 (2019 Indian per capita GDP) per year of life saved (YLS) to define cost-effectiveness. We also assessed the 5-year budget impact of offering this intervention to 20% of Indian MSM. RESULTS: Model projections showed the intervention would avert 2940 HIV infections among MSM over 10 years. Over a lifetime horizon, the intervention was cost-effective (ICER = $900/YLS). Results were most sensitive to intervention effectiveness and cost; the intervention remained cost-effective under plausible ranges of these parameters. Offering this intervention in the public sector would require an additional US$28 M over 5 years compared with SQ . CONCLUSION: A resilience-based psychosocial intervention integrated with HIV risk reduction counseling among MSM in India would reduce HIV infections and be cost-effective. Programs using this approach should be expanded as a part of comprehensive HIV prevention in India.

Using a genome-scale, lentivirally delivered shRNA library, we performed massively parallel pooled shRNA screens in 216 cancer cell lines to identify genes that are required for cell proliferation and/or viability. Cell line dependencies on 11,000 genes were interrogated by 5 shRNAs per gene. The proliferation effect of each shRNA in each cell line was assessed by transducing a population of 11M cells with one shRNA-virus per cell and determining the relative enrichment or depletion of each of the 54,000 shRNAs after 16 population doublings using Next Generation Sequencing. All the cell lines were screened using standardized conditions to best assess differential genetic dependencies across cell lines. When combined with genomic characterization of these cell lines, this dataset facilitates the linkage of genetic dependencies with specific cellular contexts (e.g., gene mutations or cell lineage). To enable such comparisons, we developed and provided a bioinformatics tool to identify linear and nonlinear correlations between these features.