diff --git a/doc/source/whatsnew/v1.1.3.rst b/doc/source/whatsnew/v1.1.3.rst
index 54949d35904cfc..a3cc9378f7bebb 100644
--- a/doc/source/whatsnew/v1.1.3.rst
+++ b/doc/source/whatsnew/v1.1.3.rst
@@ -30,7 +30,7 @@ Bug fixes
 - Bug in :meth:`Series.str.startswith` and :meth:`Series.str.endswith` with ``category`` dtype not propagating ``na`` parameter (:issue:`36241`)
 - Bug in :class:`Series` constructor where integer overflow would occur for sufficiently large scalar inputs when an index was provided (:issue:`36291`)
 - Bug in :meth:`isin()` when using NaN and a row length above 1,000,000 (:issue:`22205`)
-- Bug in :meth:`Series.isin` when using ``NaN`` and a row length above 1,000,000 (:issue:`22205`)
+- Bug in :meth:`Series.isin` and :meth:`DataFrame.isin` when using ``NaN`` and a row length above 1,000,000 (:issue:`22205`)
 
 .. ---------------------------------------------------------------------------
 
diff --git a/pandas/tests/test_algos.py b/pandas/tests/test_algos.py
index acc9bb21ad41cc..deedac49b85910 100644
--- a/pandas/tests/test_algos.py
+++ b/pandas/tests/test_algos.py
@@ -840,16 +840,16 @@ def test_same_nan_is_in(self):
         result = algos.isin(comps, values)
         tm.assert_numpy_array_equal(expected, result)
 
-    # issue:`22205`
     def test_same_nan_is_in_large(self):
+        # issue:`22205`
         s = np.tile(1.0, 1_000_001)
         s[0] = np.nan
         result = algos.isin(s, [np.nan, 1])
         expected = np.ones(len(s), dtype=bool)
         tm.assert_numpy_array_equal(result, expected)
 
-    # issue:`#25395`
     def test_same_nan_is_in_large_series(self):
+        # issue:`#25395`
         s = np.tile(1.0, 1_000_001)
         series = pd.Series(s)
         s[0] = np.nan