Biomedical subjects

Grace Callagy

Publications and source records attributed to Grace Callagy.

6 recordsLinked to original sources

PubMed2026

Margin Adequacy in Phyllodes Tumors Revisited: Reappraisal of the Evidence Base and Knowledge Gaps.

The optimal surgical margin for minimizing local recurrence (LR) and distant metastasis in phyllodes tumors (PTs) remains controversial. Despite multiple observational cohorts, variation among studies limits the interpretation of margin-outcome associations. We therefore performed a structured critical interpretative synthesis (CIS) to evaluate whether the current evidence supports specific margin thresholds. The CIS incorporated a systematic review, random-effects meta-analysis, an appraisal of existing meta-analyses and guidelines, and an expert interpretative analysis of 40 single-cohort studies from 2015 to 2025 evaluating surgical margin width and outcomes in PTs. Authors' recommendations regarding margin adequacy were extracted as interpretative "author conclusions." In parallel, LR and distant metastasis outcomes were pooled by tumor grade using random-effects models with prediction intervals. Final margin recommendations were derived by integrating CIS findings and multidisciplinary expert judgment. Current management guidelines do not recommend re-excision for positive or close margins in benign PTs. Contemporary guidelines are also concordant in advising negative margins for borderline and malignant PTs, although the specified margin width ranges from 1 to 10 mm. Within this range, no association has been established between increasing margin width and the risk of LR or malignant transformation upon LR. The estimated LR rates are 12.5% for borderline and 16.5% for malignant PTs. Malignant transformation on recurrence occurred in only 1% and 3% of all benign and borderline PTs, respectively. Approximately 14% of malignant PT metastasize, often without LR. Current heterogeneous evidence does not show lower recurrence with margins wider than a negative (≥1 mm) margin in PTs. For borderline and malignant PTs, a mandatory 10-mm threshold is insufficiently supported, as narrower negative margins may be adequate in selected cases. However, an optimal margin threshold cannot be defined from current data. These conclusions are practice-supporting rather than guideline-defining and reinforce the need for high-quality evidence to establish harmonized, grade-specific margin recommendations.

Humans↗

PubMed2005

Identification and validation of prognostic markers in breast cancer with the complementary use of array-CGH and tissue microarrays.

Gene amplification, an important mechanism of oncogene activation in breast cancer, can have both prognostic and therapeutic implications. In this work, an attempt is made to identify amplified genes that can be used to improve prognostication in breast cancer. A series of 52 node-negative tumours was screened for genomic gains at 57 loci by array-CGH. A subset of these genes was identified that could divide the series into two divergent outcome groups of either long-term survivors or early disease-related deaths (p = 0.01) using a combination of k-means clustering and statistical analysis. The prognostic significance of amplification of four of the genes (EMS1, TOP2A, CCNE1, and ERBB2) was then evaluated, using fluorescent in situ hybridization on a tissue microarray, in a second larger 'validation' series of 232 tumours with a median follow-up of 4.8 years. Adverse disease-related outcome was associated with amplification of TOP2A (p = 0.004); ERBB2 (p = 0.002); and with the combined amplification of TOP2A, ERBB2, and EMS1 (p = 0.01). EMS1 amplification was more common (26% of cases) than previously reported but, in isolation, had no prognostic significance. Amplification of CCNE1, seen in only 6% of cases, had no prognostic role. These results indicate that the complementary use of array-CGH and tissue microarrays has the potential to help in the identification and validation of molecular markers that can be used to classify breast cancers into different prognostic groups.

Antigens, Neoplasm↗

PubMed2005

Comparative genomic hybridization using DNA from laser capture microdissected tissue.

Comparative genomic hybridization (CGH) is a powerful screening technique that can identify regions of gain and loss within the whole genome in a single experiment. The combination of laser capture microdissection, whole-genome amplification, and CGH permits genomic screening with high specificity and sensitivity. This complement of techniques has enabled analysis of focal regions and subpopulations of cells within a tissue, which has previously been difficult, providing insight into disease progression and heterogeneity. This chapter outlines the techniques involved in producing labeled probes from DNA extracted from laser capture microdissected material and the methods for hybridization of these probes to metaphase chromosomes. This protocol can also be applied to the preparation of probes for CGH arrays.

DNA, Neoplasm↗

PubMed2004

Geminin predicts adverse clinical outcome in breast cancer by reflecting cell-cycle progression.

Geminin inhibits DNA replication by preventing Cdt1 from loading minichromosome maintenance (MCM) proteins onto DNA. The present study has investigated whether the frequency of geminin expression predicts clinical outcome in breast cancer. Immunohistochemistry was used first to examine geminin expression in normal and malignant breast tissue (n = 67). Correlations with cell-cycle parameters, pathological features, and clinical outcome were then determined using an invasive breast carcinoma tissue microarray (n = 165). Breast carcinomas were scanned for mutations (n = 61) and copy number imbalances (n = 241) of the geminin gene. Finally, the cell cycle distribution of geminin in breast cancer cells was investigated in vivo and in vitro. Despite a putative tumour suppressor function, it was found that increased geminin expression is a powerful independent indicator of adverse prognosis in invasive breast cancer. Both poor overall survival (p = 0.0002) and the development of distant metastases (p = 0.005) are predicted by high geminin expression, which performs better in this patient cohort than traditional factors currently used to determine prognosis and appropriate therapy. No mutations or deletions of the geminin gene and no evidence that a high frequency of protein expression is related to gene amplification were found. It is shown that geminin is expressed from S to M phase in breast carcinoma tissue and cell lines, disappearing at the metaphase--anaphase transition. While MCM proteins identify all non-quiescent cells, geminin identifies the sub-fraction that have entered S phase, but not exited mitosis, thereby indicating the rate of cell-cycle progression. It is suggested that this explains its unexpected value as a prognostic marker in breast cancer.

Adult↗

PubMed2003

Minichromosome maintenance protein 2 is a strong independent prognostic marker in breast cancer.

PURPOSE: To test the hypothesis that prognostic information in breast cancer may be derived from an accurate assessment of epithelial cell cycle entry, as indicated by expression of minichromosome maintenance (MCM) proteins. MATERIALS AND METHODS: We used immunohistochemistry to examine the distribution of Mcm-2 in breast tissue. Power calculations based on a pilot study of 67 whole tissue sections led to selection of an independent 347-core breast carcinoma tissue microarray validation set. We tested for associations between Mcm-2 (and Ki-67) labeling index (LI) and various clinicopathologic parameters. RESULTS: Mcm-2 was expressed more frequently than the standard proliferation marker Ki-67 in whole tissue sections of normal breast (P =.0003) and breast carcinoma (P <.0001). In 221 assessable cores of invasive carcinoma, the Mcm-2 LI showed a positive association with tumor size (P =.002), mitotic index (P <.0001), histologic grade (P <.0001), and the Nottingham Prognostic Index (NPI) score (P <.0001). Using a cutoff value of 50%, Mcm-2 LI was associated with overall survival (P =.0007), disease-free interval (P =.0002), and with the development of regional recurrence (P =.011) and distant metastases (P =.0016). Cox regression analysis suggested that the Mcm-2 LI is a strong prognostic factor in breast cancer that is independent and superior to histologic grade, lymph node stage, and Ki-67 LI, but not the NPI score. CONCLUSION: Mcm-2 may be of utility as a prognostic marker to refine the prediction of outcome in breast cancer, for example when combined with parameters currently used in the NPI.

Adult↗

PubMed2003

Molecular classification of breast carcinomas using tissue microarrays.

The histopathologic classification of breast cancer stratifies tumors based on tumor grade, stage, and type. Despite an overall correlation with survival, this classification is poorly predictive and tumors with identical grade and stage can have markedly contrasting outcomes. Recently, breast carcinomas have been classified by their gene expression profiles on frozen material. The validation of such a classification on formalin-fixed paraffin-embedded tumor archives linked to clinical information in a high-throughput fashion would have a major impact on clinical practice. The authors tested the ability of tumor tissue microarrays (TMAs) to sub-classify breast cancers using a TMA containing 107 breast cancers. The pattern of expression of 13 different protein biomarkers was assessed by immunohistochemistry and the multidimensional data was analyzed using an unsupervised two-dimensional clustering algorithm. This revealed distinct tumor clusters which divided into two main groups correlating with tumor grade (P<0.001) and nodal status (P = 0.04). None of the protein biomarkers tested could individually identify these groups. The biological significance of this classification is supported by its similarity with one derived from gene expression microarray analysis. Thus, molecular profiling of breast cancer using a limited number of protein biomarkers in TMAs can sub-classify tumors into clinically and biologically relevant subgroups.

Adenocarcinoma↗