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

<PatientData>
Demographics: {'race': 'White', 'gender': 'MALE', 'year of birth': 1939}
Prior Diagnosis 1: {'condition': 'Suspected lung cancer (situation)', 'condition status': 'Not Extracted', 'start date': '1994-06-28', 'end date': None}
Prior Diagnosis 2: {'condition': 'Non-small cell lung cancer (disorder)', 'condition status': 'Not Extracted', 'start date': '1994-07-08', 'end date': None}
Medication 1: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '1940-06-27', 'End datetime': '1940-06-27', '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 1994-07-10?
A. Microalbuminuria due to type 2 diabetes mellitus (disorder)
B. Chronic paralysis due to lesion of spinal cord
C. Non-small cell carcinoma of lung  TNM stage 2 (disorder)
D. Cardiac Arrest
E. Neuropathy due to type 2 diabetes mellitus (disorder)
Please share a single capital letter representing your selected answer: 
Microalbuminuria due to type 2 diabetes mellitus (disorder) Chronic paralysis due to lesion of spinal cord Non-small cell carcinoma of lung  TNM stage 2 (disorder) Cardiac Arrest Neuropathy due to type 2 diabetes mellitus (disorder)