Abstract 3697
Background
Pancreatic neuroendocrine tumor (pNET) is rare and heterogeneous. New biomarkers are needed for better predicting the prognosis and providing individualized treatment. Versican (VCAN) plays an important role in tumorigenesis. Our previous study showed VCAN was specifically expressed in pNET tumor tissue. Therefore, we planned to investigate the role of VCAN in pNET prognosis.
Methods
Clinical and pathological data of pNET patients who underwent surgery between 2005 and 2010 were followed up and evaluated. VCAN expression was assessed by immunohistochemical (IHC) methods, and the relationship between VCAN and prognostic features of pNET was analyzed.
Results
Among 161 pNET patients, 118 (73.3%) pNET were VCAN expression positive and 43 (26.7%) VCAN expression negative. Positive expression of VCAN in pNET was significantly associated with longer disease-free survival (DFS) compared with VCAN-negative pNET (p = 0.017, HR 0.399, 95%CI 0.215-0.741). Subgroup analysis showed that VCAN-positive expression was associated with longer DFS in the G1 subgroup (p = 0.030, HR = 0.122, 95%CI: 0.013-1.180), tumor size>2cm subgroup (p = 0.030, HR = 0.427, 95%CI: 0.193-0.944) and NF-pNET subgroup (p = 0.001, HR = 0.251, 95%CI: 0.103-0.617). Multiple analysis showed that VCAN-negative expression, G2 and tumor size>2cm were independent factors for poor prognosis in pNET (p = 0.01, p < 0.001, p = 0.009, respectively).
Conclusions
Our data indicate that VCAN-positive expression may serve as an independent factor for predicting DFS prognosis in pNET. VCAN-positive expression in pNET tissues was correlated with longer DFS.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
National Natural Science Foundation of China.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
4732 - Progesterone Receptor Isoform Ratio Dictates Antiprogestins/Progestins Effects on Metastatic Breast Cancer Models
Presenter: Maria Abascal
Session: Poster Display session 2
Resources:
Abstract
5737 - PAM50 and CGH-array genomic characterization of HER2-Equivocal Breast Cancers defined by the 2018 ASCO/CAP recommendations.
Presenter: Carine Ngo
Session: Poster Display session 2
Resources:
Abstract
1096 - OncotypeDX® predictive nomogram for recurrence score output: a machine learning system based on quantitative immunochemistry analysis - ADAPTED01
Presenter: Fabio Marazzi
Session: Poster Display session 2
Resources:
Abstract
5426 - Geriatric parameters predict both disease-related and patient-reported outcomes in older patients with breast cancer
Presenter: Willeke van der Plas-Krijgsman
Session: Poster Display session 2
Resources:
Abstract
5865 - Patients with a 21-gene assay in South East London differ from the TAILORx trial population
Presenter: Charalampos Gousis
Session: Poster Display session 2
Resources:
Abstract
1312 - Predictive tools in adjuvant breast cancer – what is the standard of evidence supporting their utility? A literature review examining validation of Adjuvant!, Cancermath and NHS Predict
Presenter: Alice Loft
Session: Poster Display session 2
Resources:
Abstract
2445 - Oncologic outcome of invasive lobular carcinoma: Is it different from that of invasive ductal carcinoma?
Presenter: Hee Jun Choi
Session: Poster Display session 2
Resources:
Abstract
2476 - Pathologic response and survival efficacy in patients with initial nodal involvement after neoadjuvant chemotherapy in early breast cancer
Presenter: SERAFIN MORALES Murillo
Session: Poster Display session 2
Resources:
Abstract
3761 - Chemotherapy-induced amenorrhea: prognostic impact on premenopausal Egyptian patients with breast cancer
Presenter: Khaled Abdel Karim
Session: Poster Display session 2
Resources:
Abstract
4687 - Predicting the presence of breast cancer using circulating small RNA in the serum
Presenter: Yumiko Koi
Session: Poster Display session 2
Resources:
Abstract