Komura et al reported factors predictive of cancer-specific survival for a patient with renal cell carcinoma. This can help to identify a patient who may benefit from more aggressive or a novel therapy. The authors are from multiple institutions in Japan and Memoral Sloan Kettering Cancer Center.
Patient selection: renal cell carcinoma
Parameters:
(1) metastases at diagnosis
(2) body mass index (BMI) in kg per square meter
(3) pT status
(4) Fuhrman Grade, from 1 to 4
(5) ECOG performance status, from 0 to 4
(6) CANLPH score, from 0 to 3
Parameter
Finding
Hazard Ratio
metastasis at diagnosis
absent
1
present
5.3
body mass index
< 25 kg per sq m
1
>= 25 kg per sq m
0.5
pT status
pT1 or pT2
1
pT3 or pT4
2.7
Fuhrman grade
1 or 2
1
3 or 4
2.4
ECOG performance status
0
1
>= 1
2.7
CANLPH score
0 or 1
1
2 or 3
2.4
cumulative product of the hazard ratios =
= PRODUCT(hazard ratios for all of the parameters)
Interpretation:
• minimum product: 0.5
• maximum product: 222.5
• The higher the product the worse the cancer-specific survival.
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