Treatment of clinically nonfunctioning pituitary adenomas with dopamine agonists

OBJECTIVE

Clinically nonfunctioning pituitary adenoma (NFPA) remains the only pituitary tumor subtype for which no effective medical therapy is available or recommended. We evaluated dopamine agonist (DA) therapy for preventing growth of postsurgical pituitary tumor remnants.

DESIGN

The study design included historical cohort analysis of clinical results at two pituitary referral centers with different standard practices for postoperative NFPA management: DA therapy or conservative follow-up.

METHODS

Seventy-nine patients followed for 8.8±6.5 years were treated with DA, initiated upon residual tumor detection on postoperative MRI (preventive treatment (PT) group, n=55), or when tumor growth was subsequently detected during follow-up (remedial treatment (RT) group, n=24). The control group (n=60) received no medication. Tumoral dopamine and estrogen receptor expression assessed by quantitative RT-PCR and immunostaining were correlated with response to treatment.

RESULTS

Tumor mass decreased, remained stable, or enlarged, respectively, in 38, 49, and 13% of patients in the PT group, and in 0, 53, and 47% of control subjects; shrinkage or stabilization was achieved in 58% of enlarging tumors in the RT group, P < 0.0001.Fifteen-year progression-free survival rate was 0.805, 0.24, and 0.04, respectively, for PT, RT, and control groups (P<0.001). About 42% of patients in the control group required additional surgery or radiotherapy, compared with 38 and 13% subjects in the RT and PT groups, respectively (P=0.002). Outcome measures were not related to NFPA D2R abundance.

CONCLUSIONS

Dopamine agonist therapy in patients with NFPA is associated with decreased prevalence of residual tumor enlargement after transsphenoidal surgical resection.

Abstract P3-07-37: Quantitative analysis of T cell and macrophage immune markers in Her2-positive breast cancer

Purpose/Objectives:

Her2-neu positive breast cancers have a good overall prognosis with the advent of Her2-directed therapies such as trastuzumab. However, despite the increased efficacy with Her-2-directed therapies 20-30% of patients still have local and/or distant failure despite being Her-2 amplified on pathology. The etiology of this local failure remains unknown. Recent evidence has suggested that there may be immune factors that contribute to the progression of breast cancer and the response to therapy so we undertook a study to examine the relationship between immune-based markers and traditional pathologic and clinical markers of outcome.

Materials/Methods:

Paraffin-embedded sections were generation and clinical records were reviewed for 88 patients, age ≥ 18 years, with pathologically-proven Her2-neu+ breast cancer who were treated at a single institution from 01/2001 to 12/2013. Single-color immunohistochemical staining was performed for CK5/6, CK14 and EGFR and scored by a breast pathologist. Adjacent sections were also then stained for CD45, CD4, CD8 and CD68 using a multi-color immunohistochemical approach. Slides were scanned using the Vectra Automated Quantitative Pathology Imaging System and analyzed using an in-house algorithm to quantitate the number of immune cells within the tumor, tumor margin and within 2 mm outside the tumor. We then compared the level of CK5/6, CK14, EGFR with the number of immune cells. The number of different immune cells were also analyzed with respect to other clinical parameters including age, tumor size, nodal status, hormone receptor status, time to progression, progression-free survival and overall survival.

Results:

At a median follow-up of 66.5 months, 20 (22.7%) patients had progressed. We found that the number of CD45+ leukocytes at the margin correlates with the expression of CK5/6 (p = 0.015) which predicted for local failure. Further, we found that the ratio of CD8 to CD4 cells within the tumor and margin highly correlates with the expression of the hormone receptors (p = 0.01).

Conclusions:

Our preliminary results suggest that immune markers may be important predictors of a basal-like phenotype as defined by CK5/6 expression in Her2+ breast cancers which itself correlated with significantly higher local failure. Further higher CD8 to CD4 ratios were highly correlated with hormone receptor expression, particularly PR expression suggesting that in the Her2+ population the more favorable prognosis for the "triple-positive" subtype of Her2+ cancers may be in part due to a more favorable immune microenvironment.

Citation Format: Shiao SL, Gertych A, Ma Z, Zhang X, Burnison CM, Mirhadi AJ, Giuliano A, Knudsen BS, Chung A. Quantitative analysis of T cell and macrophage immune markers in Her2-positive breast cancer. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P3-07-37.

Computer automated approach to the extraction of epiphyseal regions in hand radiographs

Epiphyseal region is the most sensitive region to developmental changes of the skeletal system. Extraction of this area is the very first step in any computerized image analysis. In this report a fully automated analysis of a hand radiograph resulting in extraction of distal and middle regions of the II, III, and IV phalanx is presented. The processing is performed in 3 stages. First, the trend of background is removed from radiograph to obtain a binary hand mask. At this stage a labeling procedure is necessary to eliminate artifacts (markers). Then, II, III, and IV phalanges are identified in the binary image, and the phalangeal axes are drawn. Finally, the intensity profile along each phalangeal axis is analyzed, and, on its basis, distal and middle regions are located. The presented procedure is designed as a part of currently developed system for automatic bone age assessment; however, it also can be as a preprocessing step in other diseases the diagnoses of which may require a computer assistance.

Computer-assisted bone age assessment: image preprocessing and epiphyseal/metaphyseal ROI extraction

Clinical assessment of skeletal maturity is based on a visual comparison of a left-hand wrist radiograph with atlas patterns. Using a new digital hand atlas an image analysis methodology is being developed. To assist radiologists in bone age estimation. The analysis starts with a preprocessing function yielding epiphyseal/metaphyseal regions of interest (EMROIs). Then, these regions are subjected to a feature extraction function. Accuracy has been measured independently at three stages of the image analysis: detection of phalangeal tip, extraction of the EMROIs, and location of diameters and lower edge of the EMROIs. Extracted features describe the stage of skeletal development more objectively than visual comparison.