Influence of recurrent assessments during data collection on caregivers and young children for an agricultural livelihood intervention in Kenya: a qualitative study.

OBJECTIVES: We sought to understand the influence of recurrent assessments on the behaviour of children and caregivers in a 2-year study of an agricultural livelihood intervention. DESIGN: This study used qualitative exit interviews from caregivers in the control arm of a large, cluster-randomised control trial, Shamba Maisha. SETTING: The study was conducted in Western Kenya and involved 12 health facilities between 2016 and 2019. PARTICIPANTS: Participants were 99 caregivers in the control arm who had a child that was 6-36 months in age at the start of the study. INTERVENTIONS: Intervention participants within Shamba Maisha received an irrigation pump, farming lessons and a microloan. Control participants received no intervention but were offered the intervention after completing the 2-year study. RESULTS: Despite receiving no formal benefits, control caregivers reported improved mental health and enhanced knowledge of their child's health compared with the beginning of the study and reported changes in the child's play and diet that they attributed to participation in study assessments. Caregivers in the control arm attributed their changed behaviour to recurrent questioning, instrumental support, interactions with study staff and increased health knowledge. CONCLUSIONS: Recurrent assessments altered participant behaviour, which may have made inference of the intervention's impact more difficult. In designing future, such studies with intervention and control arms, a trade-off between the gains in statistical power provided by recurrent visits and the avoidance of alterations in participants' behaviour that could affect responses to assessments must be considered when deciding on the number of visits for assessment. TRIAL REGISTRATION NUMBERS: NCT03170986; NCT02815579.

The influence of an agricultural intervention on social capital and water insecurity coping strategies: Qualitative evidence from female smallholder farmers living with HIV in western Kenya.

Background: Greater social capital is associated with positive health outcomes and better HIV management. The ways by which social capital may influence household water insecurity (HHWI), a critical determinant of health among persons living with HIV, remain underexplored. Further, despite the importance of reliable water access and use for health and agricultural productivity, few studies have described the strategies smallholder farmers living with HIV use to manage water insecurity. Objective: We qualitatively explored how an agricultural intervention (provision of a treadle pump for irrigation) influenced HHWI coping strategies through its impacts on social capital among smallholder farmers living with HIV in western Kenya. Method: In 2018, we purposively recruited participants from the Shamba Maisha study, a randomized agricultural intervention (NCT02815579) that provided irrigation pumps to improve treatment outcomes and food security among smallholder farmers living with HIV in western Kenya (n = 42). Participants shared their experiences with water insecurity through go-along and photo-elicitation interviews. Data were thematically analyzed using inductively developed codes. Results: Participants described diverse strategies for coping with agricultural water insecurity. Dimensions of social capital such as feelings of belonging, connectedness, and trust influenced the use of the treadle water pump and other water access behaviors. For instance, participants reported borrowing or sharing water pumps with friends and neighbors if they felt they had a good rapport. In addition, participants indicated a willingness to engage in collective activities, such as supporting the operation of the irrigation pump during planting, when they felt sufficiently connected to a larger group. Overall, individuals in the intervention arm described greater social cohesion, reciprocity, and community connectedness than those in the control arm. Conclusion: The impact of an agricultural intervention on water access and use was described as being modified by social capital among female smallholder farmers living with HIV. Findings suggest that social capital may create an enabling environment for implementing strategies that improve the management and reduce the burden of HIV. Measuring these strategies and their associations with HIV outcomes may strengthen our understanding of resilience among female smallholder farmers living with HIV. The development of a coping strategies index and its use in a longitudinal study could help to identify pathways through which social capital influences health and the effectiveness of livelihood interventions.

Obesogenic High-Fat Diet and MYC Cooperate to Promote Lactate Accumulation and Tumor Microenvironment Remodeling in Prostate Cancer.

Cancer cells exhibit metabolic plasticity to meet oncogene-driven dependencies while coping with nutrient availability. A better understanding of how systemic metabolism impacts the accumulation of metabolites that reprogram the tumor microenvironment (TME) and drive cancer could facilitate development of precision nutrition approaches. Using the Hi-MYC prostate cancer mouse model, we demonstrated that an obesogenic high-fat diet (HFD) rich in saturated fats accelerates the development of c-MYC-driven invasive prostate cancer through metabolic rewiring. Although c-MYC modulated key metabolic pathways, interaction with an obesogenic HFD was necessary to induce glycolysis and lactate accumulation in tumors. These metabolic changes were associated with augmented infiltration of CD206+ and PD-L1+ tumor-associated macrophages (TAM) and FOXP3+ regulatory T cells, as well as with the activation of transcriptional programs linked to disease progression and therapy resistance. Lactate itself also stimulated neoangiogenesis and prostate cancer cell migration, which were significantly reduced following treatment with the lactate dehydrogenase inhibitor FX11. In patients with prostate cancer, high saturated fat intake and increased body mass index were associated with tumor glycolytic features that promote the infiltration of M2-like TAMs. Finally, upregulation of lactate dehydrogenase, indicative of a lactagenic phenotype, was associated with a shorter time to biochemical recurrence in independent clinical cohorts. This work identifies cooperation between genetic drivers and systemic metabolism to hijack the TME and promote prostate cancer progression through oncometabolite accumulation. This sets the stage for the assessment of lactate as a prognostic biomarker and supports strategies of dietary intervention and direct lactagenesis blockade in treating advanced prostate cancer. SIGNIFICANCE: Lactate accumulation driven by high-fat diet and MYC reprograms the tumor microenvironment and promotes prostate cancer progression, supporting the potential of lactate as a biomarker and therapeutic target in prostate cancer. See related commentary by Frigo, p. 1742.

Spatial transcriptomics in cancer research and potential clinical impact: a narrative review.

Spatial transcriptomics (ST) provides novel insights into the tumor microenvironment (TME). ST allows the quantification and illustration of gene expression profiles in the spatial context of tissues, including both the cancer cells and the microenvironment in which they are found. In cancer research, ST has already provided novel insights into cancer metastasis, prognosis, and immunotherapy responsiveness. The clinical precision oncology application of next-generation sequencing (NGS) and RNA profiling of tumors relies on bulk methods that lack spatial context. The ability to preserve spatial information is now possible, as it allows us to capture tumor heterogeneity and multifocality. In this narrative review, we summarize precision oncology, discuss tumor sequencing in the clinic, and review the available ST research methods, including seqFISH, MERFISH (Vizgen), CosMx SMI (NanoString), Xenium (10x), Visium (10x), Stereo-seq (STOmics), and GeoMx DSP (NanoString). We then review the current ST literature with a focus on solid tumors organized by tumor type. Finally, we conclude by addressing an important question: how will spatial transcriptomics ultimately help patients with cancer?

AR coactivators, CBP/p300, are critical mediators of DNA repair in prostate cancer.

Castration resistant prostate cancer (CRPC) remains an incurable disease stage with ineffective treatments options. Here, the androgen receptor (AR) coactivators CBP/p300, which are histone acetyltransferases, were identified as critical mediators of DNA damage repair (DDR) to potentially enhance therapeutic targeting of CRPC. Key findings demonstrate that CBP/p300 expression increases with disease progression and selects for poor prognosis in metastatic disease. CBP/p300 bromodomain inhibition enhances response to standard of care therapeutics. Functional studies, CBP/p300 cistrome mapping, and transcriptome in CRPC revealed that CBP/p300 regulates DDR. Further mechanistic investigation showed that CBP/p300 attenuation via therapeutic targeting and genomic knockdown decreases homologous recombination (HR) factors in vitro, in vivo, and in human prostate cancer (PCa) tumors ex vivo. Similarly, CBP/p300 expression in human prostate tissue correlates with HR factors. Lastly, targeting CBP/p300 impacts HR-mediate repair and patient outcome. Collectively, these studies identify CBP/p300 as drivers of PCa tumorigenesis and lay the groundwork to optimize therapeutic strategies for advanced PCa via CBP/p300 inhibition, potentially in combination with AR-directed and DDR therapies.

ACSM1 and ACSM3 regulate fatty acid metabolism to support prostate cancer growth and constrain ferroptosis.

Solid tumors are highly reliant on lipids for energy, growth, and survival. In prostate cancer, the activity of the androgen receptor (AR) is associated with reprogramming of lipid metabolic processes. Here, we identified acyl-CoA synthetase medium chain family members 1 and 3 (ACSM1 and ACSM3) as AR-regulated mediators of prostate cancer metabolism and growth. ACSM1 and ACSM3 were upregulated in prostate tumors compared to non-malignant tissues and other cancer types. Both enzymes enhanced proliferation and protected prostate cancer cells from death in vitro, while silencing ACSM3 led to reduced tumor growth in an orthotopic xenograft model. ACSM1 and ACSM3 were major regulators of the prostate cancer lipidome and enhanced energy production via fatty acid oxidation. Metabolic dysregulation caused by loss of ACSM1/3 led to mitochondrial oxidative stress, lipid peroxidation and cell death by ferroptosis. Conversely, elevated ACSM1/3 activity enabled prostate cancer cells to survive toxic levels of medium chain fatty acids and promoted resistance to ferroptosis-inducing drugs and AR antagonists. Collectively, this study reveals a tumor-promoting function for medium chain acyl-CoA synthetases and positions ACSM1 and ACSM3 as key players in prostate cancer progression and therapy resistance.

FixNCut: single-cell genomics through reversible tissue fixation and dissociation.

The use of single-cell technologies for clinical applications requires disconnecting sampling from downstream processing steps. Early sample preservation can further increase robustness and reproducibility by avoiding artifacts introduced during specimen handling. We present FixNCut, a methodology for the reversible fixation of tissue followed by dissociation that overcomes current limitations. We applied FixNCut to human and mouse tissues to demonstrate the preservation of RNA integrity, sequencing library complexity, and cellular composition, while diminishing stress-related artifacts. Besides single-cell RNA sequencing, FixNCut is compatible with multiple single-cell and spatial technologies, making it a versatile tool for robust and flexible study designs.

Defining the challenges and opportunities for using patient-derived models in prostate cancer research.

BACKGROUND: There are relatively few widely used models of prostate cancer compared to other common malignancies. This impedes translational prostate cancer research because the range of models does not reflect the diversity of disease seen in clinical practice. In response to this challenge, research laboratories around the world have been developing new patient-derived models of prostate cancer, including xenografts, organoids, and tumor explants. METHODS: In May 2023, we held a workshop at the Monash University Prato Campus for researchers with expertise in establishing and using a variety of patient-derived models of prostate cancer. This review summarizes our collective ideas on how patient-derived models are currently being used, the common challenges, and future opportunities for maximizing their usefulness in prostate cancer research. RESULTS: An increasing number of patient-derived models for prostate cancer are being developed. Despite their individual limitations and varying success rates, these models are valuable resources for exploring new concepts in prostate cancer biology and for preclinical testing of potential treatments. Here we focus on the need for larger collections of models that represent the changing treatment landscape of prostate cancer, robust readouts for preclinical testing, improved in vitro culture conditions, and integration of the tumor microenvironment. Additional priorities include ensuring model reproducibility, standardization, and replication, and streamlining the exchange of models and data sets among research groups. CONCLUSIONS: There are several opportunities to maximize the impact of patient-derived models on prostate cancer research. We must develop large, diverse and accessible cohorts of models and more sophisticated methods for emulating the intricacy of patient tumors. In this way, we can use the samples that are generously donated by patients to advance the outcomes of patients in the future.

Spatial MS multiomics on clinical prostate cancer tissues.

Mass spectrometry (MS) and MS imaging (MSI) are used extensively for both the spatial and bulk characterization of samples in lipidomics and proteomics workflows. These datasets are typically generated independently due to different requirements for sample preparation. However, modern omics technologies now provide higher sample throughput and deeper molecular coverage, which, in combination with more sophisticated bioinformatic and statistical pipelines, make generating multiomics data from a single sample a reality. In this workflow, we use spatial lipidomics data generated by matrix-assisted laser desorption/ionization MSI (MALDI-MSI) on prostate cancer (PCa) radical prostatectomy cores to guide the definition of tumor and benign tissue regions for laser capture microdissection (LCM) and bottom-up proteomics all on the same sample and using the same mass spectrometer. Accurate region of interest (ROI) mapping was facilitated by the SCiLS region mapper software and dissected regions were analyzed using a dia-PASEF workflow. A total of 5525 unique protein groups were identified from all dissected regions. Lysophosphatidylcholine acyltransferase 1 (LPCAT1), a lipid remodelling enzyme, was significantly enriched in the dissected regions of cancerous epithelium (CE) compared to benign epithelium (BE). The increased abundance of this protein was reflected in the lipidomics data with an increased ion intensity ratio for pairs of phosphatidylcholines (PC) and lysophosphatidylcholines (LPC) in CE compared to BE.

Peroxisomal ß-oxidation enzyme, DECR2, regulates lipid metabolism and promotes treatment resistance in advanced prostate cancer.

BACKGROUND: Peroxisomes are central metabolic organelles that have key roles in fatty acid homoeostasis. As prostate cancer (PCa) is particularly reliant on fatty acid metabolism, we explored the contribution of peroxisomal ß-oxidation (perFAO) to PCa viability and therapy response. METHODS: Bioinformatic analysis was performed on clinical transcriptomic datasets to identify the perFAO enzyme, 2,4-dienoyl CoA reductase 2 (DECR2) as a target gene of interest. Impact of DECR2 and perFAO inhibition via thioridazine was examined in vitro, in vivo, and in clinical prostate tumours cultured ex vivo. Transcriptomic and lipidomic profiling was used to determine the functional consequences of DECR2 inhibition in PCa. RESULTS: DECR2 is upregulated in clinical PCa, most notably in metastatic castrate-resistant PCa (CRPC). Depletion of DECR2 significantly suppressed proliferation, migration, and 3D growth of a range of CRPC and therapy-resistant PCa cell lines, and inhibited LNCaP tumour growth and proliferation in vivo. DECR2 influences cell cycle progression and lipid metabolism to support tumour cell proliferation. Further, co-targeting of perFAO and standard-of-care androgen receptor inhibition enhanced suppression of PCa cell proliferation. CONCLUSION: Our findings support a focus on perFAO, specifically DECR2, as a promising therapeutic target for CRPC and as a novel strategy to overcome lethal treatment resistance.

Fatty acid elongation regulates mitochondrial ß-oxidation and cell viability in prostate cancer by controlling malonyl-CoA levels.

Recently, the fatty acid elongation enzyme ELOVL5 was identified as a critical pro-metastatic factor in prostate cancer, required for cell growth and mitochondrial homeostasis. The fatty acid elongation reaction catalyzed by ELOVL5 utilizes malonyl-CoA as the carbon donor. Here, we demonstrate that ELOVL5 knockdown causes malonyl-CoA accumulation. Malonyl-CoA is a cellular substrate that can inhibit fatty acid ß-oxidation in the mitochondria through allosteric inhibition of carnitine palmitoyltransferase 1A (CPT1A), the enzyme that controls the rate-limiting step of the long chain fatty acid ß-oxidation cycle. We hypothesized that changes in malonyl-CoA abundance following ELOVL5 knockdown could influence mitochondrial ß-oxidation rates in prostate cancer cells, and regulate cell viability. Accordingly, we find that ELOVL5 knockdown is associated with decreased mitochondrial ß-oxidation in prostate cancer cells. Combining ELOVL5 knockdown with FASN inhibition to increase malonyl-CoA abundance endogenously enhances the effect of ELOVL5 knockdown on prostate cancer cell viability, while preventing malonyl-CoA production rescues the cells from the effect of ELOVL5 knockdown. Our findings indicate an additional role for fatty acid elongation, in the control of malonyl-CoA homeostasis, alongside its established role in the production of long-chain fatty acid species, to explain the importance of fatty acid elongation for cell viability.

Targeting hyaluronan-mediated motility receptor (HMMR) enhances response to androgen receptor signalling inhibitors in prostate cancer.

BACKGROUND: Resistance to androgen receptor signalling inhibitors (ARSIs) represents a major clinical challenge in prostate cancer. We previously demonstrated that the ARSI enzalutamide inhibits only a subset of all AR-regulated genes, and hypothesise that the unaffected gene networks represent potential targets for therapeutic intervention. This study identified the hyaluronan-mediated motility receptor (HMMR) as a survival factor in prostate cancer and investigated its potential as a co-target for overcoming resistance to ARSIs. METHODS: RNA-seq, RT-qPCR and Western Blot were used to evaluate the regulation of HMMR by AR and ARSIs. HMMR inhibition was achieved via siRNA knockdown or pharmacological inhibition using 4-methylumbelliferone (4-MU) in prostate cancer cell lines, a mouse xenograft model and patient-derived explants (PDEs). RESULTS: HMMR was an AR-regulated factor that was unaffected by ARSIs. Genetic (siRNA) or pharmacological (4-MU) inhibition of HMMR significantly suppressed growth and induced apoptosis in hormone-sensitive and enzalutamide-resistant models of prostate cancer. Mechanistically, 4-MU inhibited AR nuclear translocation, AR protein expression and subsequent downstream AR signalling. 4-MU enhanced the growth-suppressive effects of 3 different ARSIs in vitro and, in combination with enzalutamide, restricted proliferation of prostate cancer cells in vivo and in PDEs. CONCLUSION: Co-targeting HMMR and AR represents an effective strategy for improving response to ARSIs.

Dynamic interplay between sortilin and syndecan-1 contributes to prostate cancer progression.

Prostate cancer (PCa) development and progression relies on the programming of glucose and lipid metabolism, and this involves alterations in androgen receptor expression and signalling. Defining the molecular mechanism that underpins this metabolic programming will have direct significance for patients with PCa who have a poor prognosis. Here we show that there is a dynamic balance between sortilin and syndecan-1, that reports on different metabolic phenotypes. Using tissue microarrays, we demonstrated by immunohistochemistry that sortilin was highly expressed in low-grade cancer, while syndecan-1 was upregulated in high-grade disease. Mechanistic studies in prostate cell lines revealed that in androgen-sensitive LNCaP cells, sortilin enhanced glucose metabolism by regulating GLUT1 and GLUT4, while binding progranulin and lipoprotein lipase (LPL) to limit lipid metabolism. In contrast, in androgen-insensitive PC3 cells, syndecan-1 was upregulated, interacted with LPL and colocalised with ß3 integrin to promote lipid metabolism. In addition, androgen-deprived LNCaP cells had decreased expression of sortilin and reduced glucose-metabolism, but increased syndecan-1 expression, facilitating interactions with LPL and possibly ß3 integrin. We report a hitherto unappreciated molecular mechanism for PCa, which may have significance for disease progression and how androgen-deprivation therapy might promote castration-resistant PCa.

Ultrastructural analysis of prostate cancer tissue provides insights into androgen-dependent adaptations to membrane contact site establishment.

Membrane trafficking and organelle contact sites are important for regulating cell metabolism and survival; processes often deregulated in cancer. Prostate cancer is the second leading cause of cancer-related death in men in the developed world. While early-stage disease is curable by surgery or radiotherapy there is an unmet need to identify prognostic biomarkers, markers to treatment response and new therapeutic targets in intermediate-late stage disease. This study explored the morphology of organelles and membrane contact sites in tumor tissue from normal, low and intermediate histological grade groups. The morphology of organelles in secretory prostate epithelial cells; including Golgi apparatus, ER, lysosomes; was similar in prostate tissue samples across a range of Gleason scores. Mitochondrial morphology was not dramatically altered, but the number of membrane contacts with the ER notably increased with disease progression. A three-fold increase of tight mitochondria-ER membrane contact sites was observed in the intermediate Gleason score group compared to normal tissue. To investigate whether these changes were concurrent with an increased androgen signaling in the tissue, we investigated whether an anti-androgen used in the clinic to treat advanced prostate cancer (enzalutamide) could reverse the phenotype. Patient-derived explant tissues with an intermediate Gleason score were cultured ex vivo in the presence or absence of enzalutamide and the number of ER-mitochondria contacts were quantified for each matched pair of tissues. Enzalutamide treated tissue showed a significant reduction in the number and length of mitochondria-ER contact sites, suggesting a novel androgen-dependent regulation of these membrane contact sites. This study provides evidence for the first time that prostate epithelial cells undergo adaptations in membrane contact sites between mitochondria and the ER during prostate cancer progression. These adaptations are androgen-dependent and provide evidence for a novel hormone-regulated mechanism that support establishment and extension of MAMs. Future studies will determine whether these changes are required to maintain pro-proliferative signaling and metabolic changes that support prostate cancer cell viability.

Ozone-enabled fatty acid discovery reveals unexpected diversity in the human lipidome.

Fatty acid isomers are responsible for an under-reported lipidome diversity across all kingdoms of life. Isomers of unsaturated fatty acids are often masked in contemporary analysis by incomplete separation and the absence of sufficiently diagnostic methods for structure elucidation. Here, we introduce a comprehensive workflow, to discover unsaturated fatty acids through coupling liquid chromatography and mass spectrometry with gas-phase ozonolysis of double bonds. The workflow encompasses semi-automated data analysis and enables de novo identification in complex media including human plasma, cancer cell lines and vernix caseosa. The targeted analysis including ozonolysis enables structural assignment over a dynamic range of five orders of magnitude, even in instances of incomplete chromatographic separation. Thereby we expand the number of identified plasma fatty acids two-fold, including non-methylene-interrupted fatty acids. Detection, without prior knowledge, allows discovery of non-canonical double bond positions. Changes in relative isomer abundances reflect underlying perturbations in lipid metabolism.

Development of "Yima Nkqo," a community-based, peer group intervention to support treatment initiation for young adults with HIV in South Africa.

AIMS: Half of young adults diagnosed with HIV in South Africa start antiretroviral therapy (ART). We developed and field tested a facilitator-guided peer support group called Yima Nkqo ("Standing Tall" in isiXhosa) to promote treatment initiation for young adults newly diagnosed with HIV in communities around Cape Town. METHODS: Following an adapted version of the UK Medical Research Council's framework for developing complex interventions, we 1) identified evidence on previous interventions to improve ART uptake in sub-Saharan Africa; 2) collected and analyzed qualitative data on the acceptability of our proposed intervention; 3) proposed a theoretical understanding of the process of behavior change; and 4) developed an intervention manual and feedback tools. During field-testing, participant feedback on intervention acceptability, and team feedback on consistency of content delivery and facilitation quality, were analyzed using an iterative, rapid-feedback evaluation approach. In-depth written and verbal summaries were shared in weekly team meetings. Team members interpreted feedback, identified areas for improvement, and proposed suggestions for intervention modifications. RESULTS: Based on our formative research, we developed three, 90-minute sessions with content including HIV and ART education, reflection on personal resources and strengths, practice disclosing one's status, strategies to overcome stressors, and goal setting to start treatment. A lay facilitator was trained to deliver intervention content. Two field testing groups (five and four participants, respectively) completed the intervention. Participants highlighted that strengths of Yima Nkqo included peer support, motivation, and education about HIV and ART. Team feedback to the facilitator ensured optimal consistency of intervention content delivery. CONCLUSIONS: Iteratively developed in collaboration with youth and healthcare providers, Yima Nkqo is a promising new intervention to improve treatment uptake among young adults with HIV in South Africa. The next phase will be a pilot randomized controlled trial of Yima Nkqo (ClinicalTrials.gov Identifier: NCT04568460).

Prediction of Prostate Cancer Biochemical and Clinical Recurrence Is Improved by IHC-Assisted Grading Using Appl1, Sortilin and Syndecan-1.

Gleason scoring is used within a five-tier risk stratification system to guide therapeutic decisions for patients with prostate cancer. This study aimed to compare the predictive performance of routine H&E or biomarker-assisted ISUP (International Society of Urological Pathology) grade grouping for assessing the risk of biochemical recurrence (BCR) and clinical recurrence (CR) in patients with prostate cancer. This retrospective study was an assessment of 114 men with prostate cancer who provided radical prostatectomy samples to the Australian Prostate Cancer Bioresource between 2006 and 2014. The prediction of CR was the primary outcome (median time to CR 79.8 months), and BCR was assessed as a secondary outcome (median time to BCR 41.7 months). The associations of (1) H&E ISUP grade groups and (2) modified ISUP grade groups informed by the Appl1, Sortilin and Syndecan-1 immunohistochemistry (IHC) labelling were modelled with BCR and CR using Cox proportional hazard approaches. IHC-assisted grading was more predictive than H&E for BCR (C-statistic 0.63 vs. 0.59) and CR (C-statistic 0.71 vs. 0.66). On adjusted analysis, IHC-assisted ISUP grading was independently associated with both outcome measures. IHC-assisted ISUP grading using the biomarker panel was an independent predictor of individual BCR and CR. Prospective studies are needed to further validate this biomarker technology and to define BCR and CR associations in real-world cohorts.

Incidence of HIV disclosure among HIV affected heterosexual partners using a community health worker led mechanism in rural Uganda; a quasi-experimental study.

BACKGROUND: HIV disclosure is vital in HIV management. Community Health Workers (CHW) were reported to support partner disclosure among HIV affected heterosexual partners with disclosure difficulties. However, time to disclosure attributed to use of CHW led disclosure support mechanism was not documented. This study compared the incidence of sexual partner disclosure among adults living with HIV (ALHIV) with CHW support and those without in the greater Luwero region, Uganda. METHODS: We conducted a quasi-experimental study with two arms allocated by geographically determined clusters and adjusted for between-group differences; among ALHIV in the greater Luwero region of Uganda who had never disclosed to their current primary sexual partners. We allocated study clusters to either a CHW-led intervention or control arm. In both arms, we consecutively recruited participants; those in the intervention arm received CHW disclosure support in addition to routine care. The overall follow-up was six months, and the primary outcome was disclosure to the partner. We used survival analysis with proportional hazard ratios to determine the time to partner disclosure in both arms. RESULTS: A total of 245 participants were enrolled, and 230 (93.9%) completed the study; of these, 112 (48.7%) were in the intervention and 118 (51.3%) in the control arm. The mean age was 31 ± 8 years with a range of 18 to 55 years; the majority were females, 176 (76.5%). The cumulative incidence of disclosure was higher in the intervention arm, 8.76 [95% CI: 7.20-10.67] per 1,000 person-days versus 5.15 [95%CI: 4.85-6.48] per 1,000 person-days in the control arm, log-rank test, X2 = 12.93, P < 0.001. Male gender, aHR = 1.82, tertiary education, aHR = 1.51, and relationship duration of > six months, aHR = 1.19 predicted disclosure. Prior disclosure to a relative, aHR = 0.55, and having more than one sexual partner in the past three months, aHR = 0.74, predicted non-disclosure. CONCLUSION: CHW-led support mechanism increased the rate of sexual partner disclosure among ALHIV with disclosure difficulties. Therefore, to achieve the global targets of ending HIV, near location CHW-led disclosure support mechanism may be used to hasten HIV disclosure in rural settings.

Experiences and challenges of using community health worker-led mechanism in supporting HIV disclosure among adults living with HIV in heterosexual relationships in the rural Uganda.

BACKGROUND: HIV status disclosure among sexual partners is vital in HIV management. Community health workers (CHW) support HIV disclosure among adults living with HIV (ALHIV) in sexual relationships with disclosure difficulties. However, experiences and challenges of using CHW-led disclosure support mechanism were not documented. This study explored experiences and challenges involved in using CHW-led disclosure support mechanism among ALHIV in heterosexual relationships in the rural Uganda. METHODS: This was a phenomenological qualitative study involving in-depth interviews among CHWs and ALHIV with HIV disclosure difficulties to sexual partners in greater Luwero region, Uganda. We conducted 27 interviews among purposively selected CHWs and participants who had participated in the CHW-led disclosure support mechanism. Interviews were conducted until saturation was reached; and analysis was done using inductive and deductive content analysis in Atlas. RESULTS: All respondents viewed HIV disclosure as an important strategy in HIV management. Provision of adequate counseling and support to those intending to disclose was instrumental for successful disclosure. However, fear of the negative disclosure outcomes was viewed as a barrier to disclosure. The CHWs were viewed as having an added advantage in supporting disclosure as opposed to the routine disclosure counseling. However, HIV disclosure using CHW-led support mechanism would be limited by possible bleach of client's confidentiality. Therefore, respondents thought that appropriate selection of CHWs would improve their trust in the community. Additionally, providing CHWs with adequate training and facilitation during the disclosure support mechanism was viewed to improve their work. CONCLUSION: Community health workers were viewed as being more supportive in HIV disclosure among ALHIV with disclosure difficulties to sexual partners compared to routine facility based disclosure counseling. Therefore, near location CHW-led disclosure mechanism was acceptable and useful in supporting HIV disclosure among HIV-affected sexual partners in rural settings.

A Boolean-based machine learning framework identifies predictive biomarkers of HSP90-targeted therapy response in prostate cancer.

Precision medicine has emerged as an important paradigm in oncology, driven by the significant heterogeneity of individual patients' tumour. A key prerequisite for effective implementation of precision oncology is the development of companion biomarkers that can predict response to anti-cancer therapies and guide patient selection for clinical trials and/or treatment. However, reliable predictive biomarkers are currently lacking for many anti-cancer therapies, hampering their clinical application. Here, we developed a novel machine learning-based framework to derive predictive multi-gene biomarker panels and associated expression signatures that accurately predict cancer drug sensitivity. We demonstrated the power of the approach by applying it to identify response biomarker panels for an Hsp90-based therapy in prostate cancer, using proteomic data profiled from prostate cancer patient-derived explants. Our approach employs a rational feature section strategy to maximise model performance, and innovatively utilizes Boolean algebra methods to derive specific expression signatures of the marker proteins. Given suitable data for model training, the approach is also applicable to other cancer drug agents in different tumour settings.