Baseline blood count levels increase odds of cytopenia among CML patients in Kenya: a case control study

Background: Imatinib is the gold standard for the treatment of all phases of Philadelphia positive Chronic Myeloid Leukemia (CML). During treatment, patients may develop cytopenia. We aimed to study the baseline characteristics and factors associated with cytopenia at a Nairobi Hospital. Methods: This was a retrospective case-control study of patients aged ≥18 years on follow-up at the Glivec Inter‑ national Patient Access Program (GIPAP) clinic from 2007 to 2015. The cases consisted of CML patients on imatinib who developed cytopenia. The controls were CML patients on imatinib who did not develop cytopenia. Baseline socio – demographic, clinical, hematologic, and molecular data were retrieved from patients’ fles. Chi square or fshers’ exact tests were used to analyze for diferences between cytopenia and no cytopenia. Binary logistic regressions were employed to identify relationships. Univariate and multivariate analyses were done to identify independent predictors of cytopenia. Odds ratios (OR) were presented including the 95% confdence intervals and respective p values. Results: A total of 201 patients were studied consisting of ninety-four (94) patients with cytopenia and 107 with no cytopenia. Among the entire population, males were 52, and 42% were aged 36–50 years. Sex, age, marital status, occupation and education level were similar between the cytopenia and no cytopenia groups. Among the 201 patients, 70% had symptoms for \u3e12months before diagnosis, 78.6% had B symptoms at baseline, 80% had a moderate splenomegaly at baseline. Among patients with cytopenia, 40 and 37.4% developed cytopenia within 3months and 3–6months respectively after imatinib initiation. Baseline neutrophilia, neutropenia, anaemia, thrombocytosis, thrombocytopenia was found in 68, 11, 11, 23.5 and 11% respectively. Baseline hemoglobin, neutrophil and platelet level were signifcantly difer‑ ent between the cytopenia and the no cytopenia group. On univariable analysis, baseline anemia with hb\u3c7.9g/ dL (p =0.002), neutropenia (p =0.001), neutrophilia \u3e100,000/mm3 (p =0.002) and thrombocytopenia (p =0.001) increased the odds of developing cytopenia. On multivariable analysis, baseline anaemia (p value \u3c0.002), neutrope‑ nia (p value \u3c0.001), thrombocytopenia (p value, \u3c0.001) and thrombocytosis (p value, 0.033) increased the odds of developing cytopenia. Conclusion: Odds of cytopenia were higher in presence of baseline cytopenia and thrombocytosis. Clinicians should have a high index of suspicion for these patients

Oesophageal cancer and Kaposi’s Sarcoma in Malawi: a comparative analysis

Given that oesophageal cancer (OC) is common in Malawi and its outcome is so dismal, would it be pragmatic to promptly mitigate the effects of smoking, alcohol and aflatoxins rather than seek a higher degree of local evidence for their role in OC? We retrospectively analysed a total of 13,217 OC and Kaposi’s sarcoma (KS) cases as recorded in the Malawi National Cancer Registry from 1985 to February, 2006. We found no OC clustering to suggest a role for culturally variable habits like smoking, alcohol, maize use and maize storage in the country. It may be that drinking and eating hot foods physically damages the oesophageal mucosa, this is in line with work recently reported from Asia. We also found that OC numbers have risen in line with KS (and HIV) suggesting a link between these conditions

Improving Access to Cancer Testing and Treatment in Kenya

Purpose: In response to the increasing cancer burden in Kenya, this study identified barriers to patients seeking access to cancer testing and treatment and to clinicians in delivering these services. Policy recommendations based on findings are presented. Methods: This qualitative study used semistructured key informant interviews. Purposive sampling was used to recruit 14 participants: seven oncology clinicians and seven support and advocacy leaders for patients with cancer. Qualitative analysis was used to identify themes. Results: Seven barriers to cancer testing and treatment were identified: high cost of testing and treatment, low level of knowledge about cancer among population and clinicians, poor health-seeking behaviors among population, long distances to access diagnostic and treatment services, lack of decentralized diagnostic and treatment facilities, poor communication, and lack of better cancer policy development and implementation. Conclusion: Kenyans seeking cancer services face significant barriers that result in late presentation, misdiagnosis, interrupted treatment, stigma, and fear. Four policy recommendations to improve access for patients with cancer are (1) improve health insurance for patients with cancer; (2) establish testing and treatment facilities in all counties; (3) acquire diagnosis and treatment equipment and train health personnel to screen, diagnose, and treat cancer; and (4) increase public health awareness and education about cancer to improve diagnoses and treatment. Effective cancer testing and treatment options can be developed to address cancer in a resource-constrained environment like Kenya. An in-depth look at effective interventions and policies being implemented in countries facing similar challenges would provide valuable lessons to Kenya’s health sector and policymakers

Improving Access to Cancer Testing and Treatment in Kenya

Purpose: In response to the increasing cancer burden in Kenya, this study identified barriers to patients seeking access to cancer testing and treatment and to clinicians in delivering these services. Policy recommendations based on findings are presented. Methods: This qualitative study used semistructured key informant interviews. Purposive sampling was used to recruit 14 participants: seven oncology clinicians and seven support and advocacy leaders for patients with cancer. Qualitative analysis was used to identify themes. Results: Seven barriers to cancer testing and treatment were identified: high cost of testing and treatment, low level of knowledge about cancer among population and clinicians, poor health-seeking behaviors among population, long distances to access diagnostic and treatment services, lack of decentralized diagnostic and treatment facilities, poor communication, and lack of better cancer policy development and implementation. Conclusion: Kenyans seeking cancer services face significant barriers that result in late presentation, misdiagnosis, interrupted treatment, stigma, and fear. Four policy recommendations to improve access for patients with cancer are (1) improve health insurance for patients with cancer; (2) establish testing and treatment facilities in all counties; (3) acquire diagnosis and treatment equipment and train health personnel to screen, diagnose, and treat cancer; and (4) increase public health awareness and education about cancer to improve diagnoses and treatment. Effective cancer testing and treatment options can be developed to address cancer in a resource-constrained environment like Kenya. An in-depth look at effective interventions and policies being implemented in countries facing similar challenges would provide valuable lessons to Kenya’s health sector and policymakers

Immune landscape in Burkitt lymphoma reveals M2-macrophage polarization and correlation between PD-L1 expression and non-canonical EBV latency program

Background: The Tumor Microenviroment (TME) is a complex milieu that is increasingly recognized as a key factor in multiple stages of disease progression and responses to therapy as well as escape from immune surveillance. However, the precise contribution of specific immune effector and immune suppressor components of the TME in Burkitt lymphoma (BL) remains poorly understood. Methods: In this paper, we applied the computational algorithm CIBERSORT to Gene Expression Profiling (GEP) datasets of 40 BL samples to draw a map of immune and stromal components of TME. Furthermore, by multiple immunohistochemistry (IHC) and multispectral immunofluorescence (IF), we investigated the TME of additional series of 40 BL cases to evaluate the role of the Programmed Death-1 and Programmed Death Ligand-1 (PD-1/PD-L1) immune checkpoint axis. Results: Our results indicate that M2 polarized macrophages are the most prominent TME component in BL. In addition, we investigated the correlation between PD-L1 and latent membrane protein-2A (LMP2A) expression on tumour cells, highlighting a subgroup of BL cases characterized by a non-canonical latency program of EBV with an activated PD-L1 pathway. Conclusion: In conclusion, our study analysed the TME in BL and identified a tolerogenic immune signature highlighting new potential therapeutic targets