Head and neck cancers (HNCs) are the sixth most commonly diagnosed cancer and the eighth leading cause of cancer-related mortality worldwide, with squamous cell carcinoma being the most prevalent type. The global incidence of HNCs is steadily increasing, projected to rise by approximately 30% per year by 2030, a trend observed in both developed and undeveloped countries. This study involved serum proteomic profiling to identify predictive clinical biomarkers in cancer patients undergoing chemoradiotherapy (CRT). Fifteen HNC patients at Tikur Anbessa Specialized Hospital, Radiotherapy (RT) center in Addis Ababa were enrolled. Serum samples were collected before and after RT, and patients were classified as responders (R) or non-responders (NR). Protein concentrations in the serum were determined using the Bradford assay, followed by nano-HPLC–MS/MS for protein profiling. Progenesis QI for proteomics identified 55 differentially expressed proteins (DEPs) between R and NR, with a significance of p < 0.05 and a fold-change (FC) ≥ 1.5. The top five-up-regulated proteins included MAD1L1, PSMC2, TRIM29, C5, and SERPING1, while the top five-down-regulated proteins were RYR1, HEY2, HIF1A, TF, and CNN3. Notably, about 16.4% of the DEPs were involved in cellular responses to DNA damage from cancer treatments, encompassing proteins related to deoxyribonucleic acid (DNA) damage sensing, checkpoint activation, DNA repair, and apoptosis/cell cycle regulation. The analysis of the relative abundance of ten proteins with high confidence scores identified three DEPs: ADIPOQ, HEY2, and FUT10 as potential predictive biomarkers for treatment response. This study highlighted the identification of three potential predictive biomarkers—ADIPOQ, HEY2, and FUT10—through serum proteomic profiling in HNC patients undergoing RT, emphasizing their significance in predicting treatment response.

(1) Background: Hepatocellular carcinoma (HCC) is one of the deadliest cancers globally, killing over 700,000 people each year. Despite the rising incidence and mortality rates of HCC in Ethiopia, only few single-centered studies have been conducted; therefore, we aimed to explore the clinicopathological characteristics and survival of patients with HCC in multicenter settings. (2) Methods: We conducted a retrospective analysis of 369 patients with confirmed HCC diagnosed between 2016 and 2021. The survival of patients weas determined using the Kaplan–Meier method, and hazard ratios of the prognostic factors were estimated in Cox proportional hazard models. (3) Results: Majority patients were male (67%) and had a mean age of 52.0 ± 15.6 years. The majority of patients (87%) had a large tumor size (>5 cm) at diagnosis and presented with an advanced-stage condition. Cirrhosis (58%) and viral hepatitis (46.5%) were the main risk factors associated with HCC. The median overall survival was 141 days (95% CI: 117–165). Patients who took antivirals for HBV had a higher survival benefit compared to the untreated group (469 vs. 104 days; p < 0.001). The risk of death was 12 times higher in patients with Barcelona Clinic Liver Cancer-D (BCLC-D) terminal stage HCC compared to patients with an early stage (BCLC-A) HCC. The stage of HCC and treatment against HBV are the most significant survival predictors. (4) Conclusions: The overall survival of HCC patients in Ethiopia is poor. Cirrhosis and viral hepatitis are the primary risk factors linked with HCC. Patients who received antiviral therapy for HBV had a better survival outcome.

Background: Ionizing radiation (IR) exposure poses a significant health risk due to its widespread use in medical diagnostics and therapeutic applications, necessitating rapid and effective biomarkers for assessment. Objective: The aim of this study is to identify the serum proteomic signature of IR exposure in patients undergoing radiotherapy (RT). Methods: Blood samples were obtained from eighteen patients with head and neck cancer (HNC) and five patients with rectal cancer before and immediately after they underwent curative intensity-modulated radiotherapy (IMRT). The comprehensive serum proteome was analyzed in individual samples using nanoHPLC-MS/MS. Results: Forty radiation-modulated proteins (RMPs), 24 upregulated and 16 downregulated, with a fold change ≥1.5 and p-value < 0.05 were identified. About 40% of the RMPs are involved in acute phase response, DNA repair, and inflammation; the key RMPs were ADCY1, HGF, MCEMP1, CHD4, RECQL5, MSH6, and ZNF224. Conclusions: This study identifies a panel of serum proteins that may reflect the radiation response, providing a valuable molecular fingerprint of IR exposure and paving the way for the development of sensitive and specific biomarkers for early detection and clinical management of IR-related injuries.