BUG: `list` subclass objects don't work as indexers for data frames in 1.3.x
- [x] I have checked that this issue has not already been reported.

- [x] I have confirmed this bug exists on the latest version of pandas.

- [x] (optional) I have confirmed this bug exists on the master branch of pandas.

---

**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) detailing how to provide the necessary information for us to reproduce your bug.

#### Code Sample, a copy-pastable example

```python
from pandas import DataFrame
df = DataFrame(dict(x=[1,2,3]))
class MyList(list):
    ...

key = MyList(['x'])
print(df[key])
```

```
Traceback (most recent call last):
  File "<input>", line 1, in <module>
    df[key]
  File "/.../python3.7/site-packages/pandas/core/frame.py", line 3445, in __getitem__
    if com.is_bool_indexer(key):
  File "/.../python3.7/site-packages/pandas/core/common.py", line 146, in is_bool_indexer
    return len(key) > 0 and lib.is_bool_list(key)
TypeError: Argument 'obj' has incorrect type (expected list, got MyList)
```

#### Problem description

This works in `v1.2.*`.

This because:

https://github.com/pandas-dev/pandas/blob/f00ed8f47020034e752baf0250483053340971b0/pandas/core/frame.py#L3445-L3446

doesn't bypass list subclasses so that `MyList` objects are not treated as a collection of keys.

If we step in:

https://github.com/pandas-dev/pandas/blob/f00ed8f47020034e752baf0250483053340971b0/pandas/core/common.py#L144-L146

Compared to `v1.2.5`:

https://github.com/pandas-dev/pandas/blob/7c48ff4409c622c582c56a5702373f726de08e96/pandas/core/common.py#L119-L124

A possible solution would be:

```diff
    elif isinstance(key, list):
        # check if np.array(key).dtype would be bool
+       try:
-       return len(key) > 0 and lib.is_bool_list(key)
+           return len(key) > 0 and lib.is_bool_list(key)
+       except TypeError:
+           return False
```

#### Expected Output

Print out the data frame `df`.

#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit           : f00ed8f47020034e752baf0250483053340971b0
python           : 3.7.8.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.4.0-19041-Microsoft
Version          : #488-Microsoft Mon Sep 01 13:43:00 PST 2020
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : C.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.3.0
numpy            : 1.21.0
pytz             : 2020.4
dateutil         : 2.8.1
pip              : 19.3.1
setuptools       : 52.0.0.post20210125
Cython           : None
pytest           : 6.2.2
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : 1.0.1
pymysql          : None
psycopg2         : None
jinja2           : 2.11.3
IPython          : 7.19.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.3.4
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : 1.6.3
sqlalchemy       : 1.3.20
tables           : None
tabulate         : 0.8.6
xarray           : None
xlrd             : None
xlwt             : None
numba            : None
</details>
