Treatment patterns and outcomes of head and neck cancer in sub-Saharan Africa: Insights from a multi-institutional cancer dataset.

A Ayo Samuel Falade (Department of Medicine, Mayo Clinic, Rochester, MN) E Eric Addison (Komfo Anokye Teaching Hospital, Kumasi, Ghana) P Primus Apamo (University of Nairobi, Nairobi, Kenya) A Achille Van Christ Manirakiza (King Faisal Hospital, Kigali, Rwanda) S Syeda A. Mina (Mayo Clinic Rochester, Rochester, MN) M Mia Truman (Mayo Clinic, Scottsdale, Arizona, United States) C Christopher Dodoo (Mayo Clinic Arizona, Phoenix, AZ) A Aaron W. Bogan (Quantitative Health Science Research, Mayo Clinic in Arizona, Phoenix, AZ) E Ernest Adjei (Komfo Anokye Teaching Hospital, Kumasi, Ghana) B Ben Roger Mongare (University of Nairobi, Nairobi, Kenya) Y Yonas Dibaba (Addis Ababa Ababa University, College of Health Sciences, Department of Oncology, Addis Ababa, Ethiopia) G Gladys Mwango (University of Nairobi, Nairobi, Kenya) K Katherine Kemper (Mayo Clinic, Rochester, MN) A Adugna Fekadu (Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia) K Kenneth Merrell (Mayo Clinic, Rochester, Minnesota, United States) E Edom Seife Woldetsadik (Addis Adaba University, Addis Ababa, Ethiopia) E Ernest Baawuah Osei-Bonsu (Komfo Anokye Teaching Hospital, Kumasi, Ghana)

Abstract

e18017 Background: Head and neck (H&N) cancers affect the oral cavity, pharynx, larynx, salivary glands, nasal cavity, and sinuses. In Sub-Saharan Africa (SSA), the true burden of H&N cancers remains unclear, with available estimates suggesting approximately 47,000 new cases and 26,000 deaths annually. Limited cancer datasets hinder understanding of disease patterns and outcomes. This study explores patient characteristics, treatments, and outcomes to guide regional cancer control efforts. Methods: A cancer dataset was created and implemented at 4 leading teaching hospitals in Ghana, Kenya, Ethiopia, and Rwanda to systematically collect data on patient demographics, disease characteristics, and treatment patterns. Established through competitive grant funding, the primary objective of the database was to assess the indirect impact of the COVID-19 pandemic on cancer care. The dataset includes all cancer patients seen in consultation and/or treated between 2016 and 2023. In this study, a subset of patients diagnosed with H&N cancers was analyzed using descriptive statistics to assess clinical characteristics, treatments modalities, and patients' outcomes. Results: A total of 1,023 patients with H&N cancer were included in the analysis. The median age at diagnosis was 54 yrs (IQR 41-66), with 37% (n= 374) of the cohort being female. A total of 55% (n= 549) had no health insurance coverage. Of those with staging data, majority presented with advanced disease (89%) on presentation. Regarding treatment modality, 16% (n= 157) underwent surgery, 27% (n=279) received radiotherapy (RT), 14% (n= 143) received chemotherapy (CT), and 56% (n= 572) received no cancer therapy. Of those who received CT the timing was neoadjuvant (12%), concurrent with RT (22%), adjuvant after surgery (8.9%) or as palliative treatment (57%). Platinum-based agents (94%) were the most common CT, followed by Taxol-based (31%), and 5FU-based agents (27%). Regarding RT, planning was performed using 2D (55%) and 3D (45%) techniques. The median delivered dose was 60 Gy in 30 fractions. At a median follow up of 43 months, 1.6% were disease free, 10% (n= 103) were alive, 5.9% (n= 60) were confirmed dead, and 84% (n= 848) were lost to follow up. Conclusions: This study identifies key challenges in managing H&N cancers in SSA, including late-stage presentation, limited access to advanced treatment modalities, and a high lost to follow-up rate (84%). The reliance on older RT techniques such as 2D planning and the limited use of surgery highlight gaps in infrastructure and resource availability. Limited health insurance coverage suggests potential financial barriers to care and disparities in treatment access. Addressing these challenges will require greater investment in cancer care, expansion of the oncology workforce, and improvements in healthcare infrastructure to support better patient outcomes in the region.

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (17)

A

Ayo Samuel Falade

Department of Medicine, Mayo Clinic, Rochester, MN

E

Eric Addison

Komfo Anokye Teaching Hospital, Kumasi, Ghana

P

Primus Apamo

University of Nairobi, Nairobi, Kenya

A

Achille Van Christ Manirakiza

King Faisal Hospital, Kigali, Rwanda

S

Syeda A. Mina

Mayo Clinic Rochester, Rochester, MN

M

Mia Truman

Mayo Clinic, Scottsdale, Arizona, United States

C

Christopher Dodoo

Mayo Clinic Arizona, Phoenix, AZ

A

Aaron W. Bogan

Quantitative Health Science Research, Mayo Clinic in Arizona, Phoenix, AZ

E

Ernest Adjei

Komfo Anokye Teaching Hospital, Kumasi, Ghana

B

Ben Roger Mongare

University of Nairobi, Nairobi, Kenya

Y

Yonas Dibaba

Addis Ababa Ababa University, College of Health Sciences, Department of Oncology, Addis Ababa, Ethiopia

G

Gladys Mwango

University of Nairobi, Nairobi, Kenya

K

Katherine Kemper

Mayo Clinic, Rochester, MN

A

Adugna Fekadu

Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia

K

Kenneth Merrell

Mayo Clinic, Rochester, Minnesota, United States

E

Edom Seife Woldetsadik

Addis Adaba University, Addis Ababa, Ethiopia

E

Ernest Baawuah Osei-Bonsu

Komfo Anokye Teaching Hospital, Kumasi, Ghana