diff --git a/bigframes/core/compile/ibis_types.py b/bigframes/core/compile/ibis_types.py
index 54b0a1408a..d5f9b5c5f9 100644
--- a/bigframes/core/compile/ibis_types.py
+++ b/bigframes/core/compile/ibis_types.py
@@ -388,7 +388,8 @@ def literal_to_ibis_scalar(
         # Ibis has bug for casting nulltype to geospatial, so we perform intermediate cast first
         geotype = ibis_dtypes.GeoSpatial(geotype="geography", srid=4326, nullable=True)
         return bigframes_vendored.ibis.literal(None, geotype)
-    ibis_dtype = BIGFRAMES_TO_IBIS[force_dtype] if force_dtype else None
+
+    ibis_dtype = bigframes_dtype_to_ibis_dtype(force_dtype) if force_dtype else None
 
     if pd.api.types.is_list_like(literal):
         if validate:
diff --git a/tests/system/conftest.py b/tests/system/conftest.py
index ce984f5ce4..a466b558b2 100644
--- a/tests/system/conftest.py
+++ b/tests/system/conftest.py
@@ -465,7 +465,7 @@ def nested_structs_df(
 
 
 @pytest.fixture(scope="session")
-def nested_structs_pandas_df() -> pd.DataFrame:
+def nested_structs_pandas_df(nested_structs_pandas_type: pd.ArrowDtype) -> pd.DataFrame:
     """pd.DataFrame pointing at test data."""
 
     df = pd.read_json(
@@ -473,6 +473,7 @@ def nested_structs_pandas_df() -> pd.DataFrame:
         lines=True,
     )
     df = df.set_index("id")
+    df["person"] = df["person"].astype(nested_structs_pandas_type)
     return df
 
 
diff --git a/tests/system/small/test_pandas.py b/tests/system/small/test_pandas.py
index 242e77ee9d..491b56d5fc 100644
--- a/tests/system/small/test_pandas.py
+++ b/tests/system/small/test_pandas.py
@@ -40,6 +40,16 @@ def test_concat_dataframe(scalars_dfs, ordered):
     assert_pandas_df_equal(bf_result, pd_result, ignore_order=not ordered)
 
 
+def test_concat_dataframe_w_struct_cols(nested_structs_df, nested_structs_pandas_df):
+    """Avoid regressions for internal issue 407107482"""
+    empty_bf_df = bpd.DataFrame(session=nested_structs_df._block.session)
+    bf_result = bpd.concat((empty_bf_df, nested_structs_df), ignore_index=True)
+    bf_result = bf_result.to_pandas()
+    pd_result = pd.concat((pd.DataFrame(), nested_structs_pandas_df), ignore_index=True)
+    pd_result.index = pd_result.index.astype("Int64")
+    pd.testing.assert_frame_equal(bf_result, pd_result)
+
+
 def test_concat_series(scalars_dfs):
     scalars_df, scalars_pandas_df = scalars_dfs
     bf_result = bpd.concat(
diff --git a/tests/system/small/test_series.py b/tests/system/small/test_series.py
index 862ec684a2..e9d3e6e4da 100644
--- a/tests/system/small/test_series.py
+++ b/tests/system/small/test_series.py
@@ -4381,13 +4381,13 @@ def test__resample(scalars_df_index, scalars_pandas_df_index, append, level, col
 
 
 def test_series_struct_get_field_by_attribute(
-    nested_structs_df, nested_structs_pandas_df, nested_structs_pandas_type
+    nested_structs_df, nested_structs_pandas_df
 ):
     if Version(pd.__version__) < Version("2.2.0"):
         pytest.skip("struct accessor is not supported before pandas 2.2")
 
     bf_series = nested_structs_df["person"]
-    df_series = nested_structs_pandas_df["person"].astype(nested_structs_pandas_type)
+    df_series = nested_structs_pandas_df["person"]
 
     pd.testing.assert_series_equal(
         bf_series.address.city.to_pandas(),