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

<PatientData>
Demographics: {'race': 'White', 'gender': 'FEMALE', 'year of birth': 1937}
Prior Diagnosis 1: {'condition': 'Prediabetes', 'condition status': 'Not Extracted', 'start date': '1965-01-08', 'end date': None}
Prior Diagnosis 2: {'condition': 'Suspected lung cancer (situation)', 'condition status': 'Not Extracted', 'start date': '2000-06-05', 'end date': None}
Medication 1: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '1946-03-02', 'End datetime': '1946-03-02', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 2: {'Drug name': 'Penicillin V Potassium 500 MG', 'Start datetime': '1958-11-15', 'End datetime': '1958-11-15', '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 2000-06-16?
A. Non-small cell lung cancer (disorder)
B. Concussion with loss of consciousness
C. Microalbuminuria due to type 2 diabetes mellitus (disorder)
D. History of cardiac arrest (situation)
E. Primary small cell malignant neoplasm of lung  TNM stage 3 (disorder)
Please share a single capital letter representing your selected answer: 
Non-small cell lung cancer (disorder) Concussion with loss of consciousness Microalbuminuria due to type 2 diabetes mellitus (disorder) History of cardiac arrest (situation) Primary small cell malignant neoplasm of lung  TNM stage 3 (disorder)