2021 Cancer biology & medicine

Aberrantly expressed GFRalpha-1/RET in patients with lacrimal adenoid cystic carcinoma is associated with high recurrence risk: a retrospective study of 51 LACC cases.

, , , , ,

Cancer biology & medicine Vol. 18 (1) : 199-205 • Feb 2021

OBJECTIVE: Because of the poor prognosis of lacrimal adenoid cystic carcinoma (LACC), we aimed to investigate the effects of perineural invasion (PNI) and consequent aberrations in GDNF/GFRalpha-1/RET protein expression on LACC recurrence. METHODS: Clinicopathological data for 51 histologically confirmed patients with LACC enrolled between 2001 and 2017 were retrospectively analyzed. Hematoxylin and eosin staining was applied to assess PNI. Tissue-based immunohistochemistry (IHC) detection of GDNF, GFRalpha-1, and RET proteins was performed on LACC formalin-fixed, paraffin-embedded specimens. We generated semi-quantitative data of the IHC results and compared them with the clinicopathological data for the 51 patients. RESULTS: Of the 51 patients, 19 (37.3%) were PNI positive. Recurrence was more common for LACC with than without PNI (73.7% vs. 37.5%, P = 0.01). GDNF, GFRalpha-1, and RET proteins were expressed in 62.7%, 62.7%, and 54.9% of the 51 patients with LACC, respectively. The expression of all 3 proteins was more common in patients with than without PNI. In agreement with previous findings, PNI-associated GFRalpha-1 and RET positivity, as detected by IHC, remained significantly associated with recurrence, whereas GDNF expression, as detected by IHC, was not correlated with LACC recurrence. Specifically, patients with concurrent GFRalpha-1 and RET expression may have a high risk of PNI (89.5% positivity rate) and recurrence (84.2% positivity rate). CONCLUSIONS: PNI may contribute to LACC recurrence. The concurrent expression of GFRalpha-1 and RET proteins, as detected by IHC, may potentially be associated with LACC PNI and recurrence.

No clinical trial protocols linked to this paper

Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.
PICO Elements

No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.

Paper Details
MeSH Terms
Associated Data

No associated datasets or code repositories found for this paper.

Related Papers

Related paper suggestions will be available in future updates.