Abstract 5753
Background
A phase II trial of trastuzumab plus docetaxel in patients with advanced HER2–positive salivary duct carcinoma (SDC) showed 70% of the overall response rate. However, biomarkers which predict survival in this population remain unknown.
Methods
A total of 91 patients with HER2–positive SDC treated with trastuzumab plus docetaxel were included. Age, sex, ECOG performance status (PS), status of visceral metastases, previous treatment, previous docetaxel exposure, previous combined androgen blockade, the best overall response to the treatment, pretreatment serum C-reactive protein (CRP) level, modified Glasgow Prognosis Score (mGPS), HER2 status (immunohistochemistry [IHC] score, HER2/CEP17 ratio, HER2 copy number, overall positivity according to ASCO/CAP Guidelines), mutational status of PIK3CA, HRAS, and TP53, IHC score of AR, Ki-67, CK5/6, p53, HER3, Akt, PI3K, FOXA1, adipophilin, mTOR and PTEN were assessed and correlated with progression-free survival (PFS) and overall survival (OS).
Results
Treatment response (PR or CR vs. SD or PD) and PTEN IHC score (1+ – 3+ vs. 0) were related with favorable PFS (hazard ratio [HR], 0.25 and 0.39, respectively) and OS (HR, 0.29 and 0.36, respectively). CRP (≥ 0.50 mg/dL) was related with shorter PFS (HR, 2.28) and OS (HR 4.46). Presence of previous treatment and mTOR IHC (1+ – 3+ vs. 0) had significant predictive value of better PFS (HR 0.47 and 0.22, respectively) but not significantly related with OS. ECOG PS of 1-2 (vs. 0), presence of visceral metastasis, and mGPS of 1-2 (vs. 0) had significant relationship with shorter OS but not with PFS. Neither previous docetaxel exposure nor previous combined androgen blockade did not affect the survival outcome. HER2, PIK3CA, HRAS and TP53 status did not related with survival.
Conclusions
Although HER2 status did not correlated with survival, its downstream factors PTEN and mTOR can serve as predictive biomarkers in patients with advanced SDC treated with trastuzumab plus docetaxel. Serum CRP level may predict survival of this population.
Clinical trial identification
UMIN000009437, Released on 03/12/2012.
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
MEXT/JSPS.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
5517 - Molecular fingerprinting in breast cancer (BC) screening using Quantum Optics (QO) technology combined with an artificial intelligence (AI) approach applying the concept of “molecular profiles at n variables (MPnV)”: a prospective pilot study.
Presenter: Jean-Marc Nabholtz
Session: Poster Display session 3
Resources:
Abstract
2152 - Inferring the correlation between incidence rates of melanoma and the average tumor-specific epitope binding ability of HLA class I molecules in different populations
Presenter: Istvan Miklos
Session: Poster Display session 3
Resources:
Abstract
4382 - Thermal Liquid Biopsy as a Valuable Tool in Lung Cancer Screening Programs
Presenter: Alberto Rodrigo
Session: Poster Display session 3
Resources:
Abstract
2465 - Towards a screening test for cancer by circulating DNA analysis
Presenter: Rita Tanos
Session: Poster Display session 3
Resources:
Abstract
3788 - Evaluation of a successful launch of the MammaPrint and BluePrint NGS kit
Presenter: Leonie Delahaye
Session: Poster Display session 3
Resources:
Abstract
3863 - Analysis of prognostic factors on overall survival in elderly women treated for early breast cancer using data mining and machine learning
Presenter: Pierre Heudel
Session: Poster Display session 3
Resources:
Abstract
1993 - Circulating tumor cell detection in epithelial ovarian cancer using dual-component antibodies targeting EpCAM and FRα
Presenter: Na Li
Session: Poster Display session 3
Resources:
Abstract
4281 - CEUS of the breast: Is it feasible in improved performance of BI-RADS evaluation of critical breast lesions?——A multi-center prospective study in China
Presenter: Jun Luo
Session: Poster Display session 3
Resources:
Abstract
2268 - Classification of abnormal findings on ring-type dedicated breast PET for detecting breast cancer
Presenter: Shinsuke Sasada
Session: Poster Display session 3
Resources:
Abstract
4035 - Prediction of benign and malignant breast masses using digital mammograms texture features
Presenter: Cui Yanhua
Session: Poster Display session 3
Resources:
Abstract