The aim of this study was to assess the association between HIV infection and cancer risk in Rwanda approximately a decade after the introduction of antiretroviral therapy (cART). All persons seeking cancer care at Butaro Cancer Center of Excellence (BCCOE) in Rwanda from 2012 to 2016 were routinely screened for HIV, prior to being confirmed with or without cancer (cases and controls, respectively). Cases were coded according to ICD‐O‐3 and converted to ICD10. Associations between individual cancer types and HIV were estimated using adjusted unconditional logistic regression. 2,656 cases and 1,196 controls differed by gender (80.3% vs. 70.8% female), age (mean 45.5 vs. 37.7 years), place of residence and proportion of diagnoses made by histopathology (87.5% vs. 67.4%). After adjustment for these variables, HIV was significantly associated with Kaposi Sarcoma (n = 60; OR = 110.3, 95%CI 46.8–259.6), non‐Hodgkin lymphoma (NHL) (n = 265; OR = 2.5, 1.4–4.6), Hodgkin lymphoma (HL) (n = 76; OR = 5.2, 2.3–11.6) and cancers of the cervix (n = 560; OR = 5.9, 3.8–9.2), vulva (n = 23; OR = 17.8, 6.3–50.1), penis (n = 29; OR = 8.3, 2.5–27.4) and eye (n = 17; OR = 4.7, 1.0–25.0). Associations varied by NHL/HL subtype, with that for NHL being limited to DLBCL (n = 56; OR = 6.6, 3.1–14.1), particularly plasmablastic lymphoma (n = 6, OR = 106, 12.1–921). No significant associations were seen with other commonly diagnosed cancers, including female breast cancer (n = 559), head and neck (n = 116) and colorectal cancer (n = 106). In conclusion, in the era of cART in Rwanda, HIV is associated with increased risk of a range of infection‐related cancers, and accounts for an important fraction of cancers presenting to a referral hospital.

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PURPOSE The burden of cancer is growing in low- and middle-income countries (LMICs), including sub-Saharan Africa. Ensuring the delivery of high-quality cancer care in such regions is a pressing concern. There is a need for strategies to identify meaningful and relevant quality measures that are applicable to and usable for quality measurement and improvement in resource-constrained settings. METHODS To identify quality measures for breast cancer care at Butaro Cancer Center of Excellence (BCCOE) in Rwanda, we used a modified Delphi process engaging two panels of experts, one with expertise in breast cancer evidence and measures used in high-income countries and one with expertise in cancer care delivery in Rwanda. RESULTS Our systematic review of the literature yielded no publications describing breast cancer quality measures developed in a low-income country, but it did provide 40 quality measures, which we adapted for relevance to our setting. After two surveys, one conference call, and one in-person meeting, 17 measures were identified as relevant to pathology, staging and treatment planning, surgery, chemotherapy, endocrine therapy, palliative care, and retention in care. Successes of the process included participation by a diverse set of global experts and engagement of the BCCOE community in quality measurement and improvement. Anticipated challenges include the need to continually refine these measures as resources, protocols, and measurement capacity rapidly evolve in Rwanda. CONCLUSION A modified Delphi process engaging both global and local expertise was a promising strategy to identify quality measures for breast cancer in Rwanda. The process and resulting measures may also be relevant for other LMIC cancer facilities. Next steps include validation of these measures in a retrospective cohort of patients with breast cancer.

Background: While Hodgkin lymphoma (HL) is highly curable with standard chemotherapy in high-resource settings, there are few reports of HL treatment in low-resource settings. In Rwanda, a treatment protocol using six cycles of ABVD chemotherapy (doxorubicin, bleomycin, vinblastine, dacarbazine) without radiotherapy has been implemented at two rural district hospitals. Here we report on the feasibility of this approach, our patient characteristics, and outcomes. Methods: We conducted a retrospective cohort study of all patients with biopsy-confirmed HL seen at Butaro and Rwinkwavu hospitals between October 2009 and June 2018. Data were extracted from clinical charts and analyzed using descriptive statistics and Kaplan-Meier logrank testing. Results: Ninety HL patients were seen at Butaro (n=85) and Rwinkwavu (n=5); 58% male, median age 16 (IQR 10.6-30.5) with 54% under age 18. Eleven (12%) were HIV positive. Mean duration of presenting symptoms at the time of intake was 54 weeks; 70% had B symptoms. Nodular sclerosis was the predominant histological subtype (47%) followed by mixed cellularity (28%). Of 24 biopsy specimens evaluated for EBV, 14 (58%) were positive, 10 (42%) negative. Most patients were staged with chest x-ray (81%); fewer had abdominal ultrasound (34%), CT (21%), or bone marrow biopsy (20%). Resulting Ann Arbor stages were I (17%), II (28%), III (32%), IV (20%), and undetermined (3%). Median time from initial biopsy to first dose of ABVD was 6.1 weeks (IQR 3.6-11.9). Of 76 patients who started ABVD, 56 (74%) completed all 6 cycles; the leading reasons for discontinuation were loss to follow up (n=9) and death (n=7). Median time to completion of the 24-week ABVD regimen was 26.1 weeks; 51 patients (67%) experienced at least one treatment delay. Neutropenia, social factors, and infection were the most common reasons for delays. Dose reductions were rare. Mean dose intensity over 6 cycles was 87.2% calculated per Owadally, et al. 2010; <86% in 40% of patients, 86-97% in 32%, and >97% in 28%. Of the 76 patients started on ABVD, 34 (45%) are in clinical remission, 21 (28%) are deceased, 2 (3%) referred to palliative care, and 19 (25%) are lost to follow up at a median interval of 48 months from intake. Univariate analysis demonstrates that stage III-IV (p=0.0000), ECOG performance status 2-4 (p=0.0004), hemoglobin <10.5 g/dL (p=0.01), WBC > 15,000 mm3 (p=0.05), B symptoms (p=0.004), and extranodal disease (0.0004) were associated with worse survival. Conclusions: We observed a strikingly younger age distribution in our cohort compared to the classic bimodal distribution reported in high income countries, suggesting biologic differences that warrant further investigation. Treating HL with standard chemotherapy in a low-resource setting through international partnership is feasible, and nearly half of patients who complete treatment may experience a clinically significant remission with this approach. Late presentation, treatment delays, and loss to follow up are among major reasons to explain the discrepancy in survival compared to high income countries. Further efforts should tackle these identified barriers to achieve better survival outcomes. Figure Disclosures No relevant conflicts of interest to declare.