I am looking for a simple way of replacing several string and assigning it to a new df with the updated replacements

This the the sample column I am working with df['Column']

```
Column
-----------------
K700E
R957Q
Deletion
L747_T751delinsP
S752_I759del
I491M
D770_P772dup
G719A
G735S
N771_H773dup
K467T
E746_T751insIP
D770_N771insD
G724S
K745_A750del
EGFRvIII
V765A
EGFRvII
L858M

```

Some entries contain text which I don't need, basically needs to be cleaned. Below is my code which I can't seem to get right.

```
for i in df['Column']:
df['Column'].replace('Truncating Mutations', '9999')
df['Column'].replace('Amplification', '9999')
print(i)

```

There are also some entries like 

```
EGFR-RAD51 Fusion

```

I basically want to remove the word 'Fusion' but keep 'EGFR'.

Any advise is very much appreciated from a novice. =)