You are an assistant tasked with analyzing medical histories to provide a second opinion on possible future diagnoses.

<PatientData>
Demographics: {'race': None, 'gender': 'FEMALE', 'year of birth': 1966}
Prior Diagnosis 1: {'condition': 'Prediabetes', 'condition status': 'Not Extracted', 'start date': '2002-05-10', 'end date': None}
Medication 1: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '1977-08-12', 'End datetime': '1977-08-12', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 2: {'Drug name': 'Penicillin V Potassium 500 MG', 'Start datetime': '2005-02-16', 'End datetime': '2005-02-16', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2008-09-27?
A. Diabetes
B. Non-small cell carcinoma of lung  TNM stage 4 (disorder)
C. Sinusitis (disorder)
D. Sprain of wrist
E. History of upper limb amputation (situation)
Please share a single capital letter representing your selected answer: 
Diabetes Non-small cell carcinoma of lung  TNM stage 4 (disorder) Sinusitis (disorder) Sprain of wrist History of upper limb amputation (situation)