A comparison between flow cytometric assessment of S-phase fraction and Nottingham histologic grade as prognostic instruments in breast cancer

Immunohistochemical estimation of cell cycle phase in laryngeal neoplasia

We previously developed an immunohistochemical method for estimating cell cycle state and phase in tissue samples, including biopsies that are too small for flow cytometry. We have used our technique to examine whether primary abnormalities of the cell cycle exist in laryngeal neoplasia. Antibodies against the markers of cell cycle entry, minichromosome maintenance protein-2 (Mcm-2) and Ki67, and putative markers of cell cycle phase, cyclin D1 (G1-phase), cyclin A (S-phase), cyclin B1 (G2-phase) and phosphohistone H3 (Mitosis) were applied to paraffin-embedded sections of normal larynx (n=8), laryngeal dysplasia (n=10) and laryngeal squamous cell carcinoma (n=10). Cells expressing each marker were determined as a percentage of total cells, termed the labelling index (LI), and as a percentage of Mcm-2-positive cells, termed the labelling fraction (LF). The frequency of coexpression of each putative phase marker was investigated by confocal microscopy. There was a correlation between Mcm-2 and Ki67 LIs (ρ=0.93) but Mcm-2 LIs were consistently higher. All cells expressing a phase marker coexpressed Mcm-2, whereas Ki67 was not expressed in a proportion of these cells. The putative phase markers showed little coexpression. Labelling index values increased on progression from normal larynx through laryngeal dysplasia to squamous cell carcinoma for Mcm-2 (P=0.001), Ki67 (P=0.0002), cyclin D1 (P=0.015), cyclin A (P=0.0001) and cyclin B1 (P=0.0004). There was no evidence of an increase in the LF for any phase marker. Immunohistochemistry can be used to estimate cell cycle state and phase in laryngeal biopsies. Our data argues against primary cell cycle phase abnormalities in laryngeal neoplasia.

Current limits of knowledge in adjuvant and neoadjuvant endocrine therapy of breast cancer: the need for more clinical research

Adjuvant endocrine therapy following surgical resection of early, endocrine sensitive breast cancer has proven benefits in reducing risk of recurrence and death, as demonstrated in many mature well controlled clinical trials. The introduction of new endocrine therapies as potential alternatives to tamoxifen or ovarian ablation and the incorporation of neoadjuvant endocrine therapy into the overall management strategy continue to provide exciting challenges for clinical research. In this article the focus is on as yet unanswered questions pertinent to adjuvant or neoadjuvant endocrine therapy for breast cancer. In the process, we broadly outline the current limits of knowledge as we understand it. Many relevant and current clinical trials are ongoing and a list of these with contact details or references are provided. Definitive data is urgently needed in many areas and, when available, will provide important evidence on which the management of breast cancer patients in future can be based. Participation in relevant clinical trials is vital for future progress.

A novel immunohistochemical method to estimate cell-cycle phase distribution in archival tissue: implications for the prediction of outcome in colorectal cancer

An immunohistochemical method for assessing cell-cycle phase distribution in colorectal resection specimens would enable phase data to be incorporated into diagnostic algorithms for the estimation of prognosis and response to adjuvant chemotherapy in colorectal cancer. In contrast to flow cytometry, an immunohistochemical method would also allow the phase distribution to be examined within morphologically heterogeneous regions of neoplasms. Paraffin sections of normal colon (n = 25), colonic adenoma (n = 15), and colonic adenocarcinoma (n = 30) were analysed by immunohistochemistry using antibodies against markers of cell-cycle entry, Mcm-2 and Ki67, and putative markers of the cell-cycle phase, cyclins D1 and E (putative markers of G1 phase), cyclin A (S phase), cytoplasmic cyclin B1 (G2 phase), and phosphohistone H3 (M phase). The phase specificity of each marker was assessed by examining the degree of co-expression of adjacent phase markers using double-antibody fluorescence confocal microscopy and by comparison with flow cytometric analysis performed on adjacent tissue sections. The S-phase specificity of detectable cyclin A was also assessed in combination with in situ DNA replication using fluorescence confocal microscopy. All cells expressing phase markers co-expressed Mcm-2. Adjacent phase markers were not significantly co-expressed, confirming the relative specificity of these markers in tissue sections of colon. Cell-cycle phase distribution, calculated by immunohistochemistry, compared well with phase analyses obtained by flow cytometry. No cells expressed cyclin A in the absence of active DNA replication. The S-phase labelling index, as defined by detectable cyclin A expression, showed a positive correlation with the Mcm-2 labelling index and increased in the progression from normal colon to adenocarcinoma. In conclusion, a combination of these cell-cycle phase markers can be used to calculate the distribution of cells throughout each phase of the cell cycle in colorectal tissue sections. Detectable cyclin A can be used as a surrogate marker of S phase and may be of value in predicting prognosis and response to adjuvant therapy.

The prognostic value of the mitotic activity index in patients with primary breast cancer who were not treated with adjuvant systemic therapy

BACKGROUND

At the St Gallen meeting of 2001 it was agreed to select high-risk patients for adjuvant systemic therapy by lymph node status, tumor size, age, hormone receptor status, and histological grade. In The Netherlands it was chosen to use either the histological grade or the mitotic activity index (MAI). The aim of this study was to retrospectively evaluate the independent prognostic value of the MAI in primary breast cancer patients, who were not treated with adjuvant systemic therapy, on relapse-free survival (RFS) and overall survival (OS).

PATIENTS AND METHODS

The data of 137 systemically untreated patients with primary breast cancer diagnosed between 1992 and 1996, of whom MAI was assessed, were retrospectively collected. The MAI was correlated to classical prognostic factors and we determined the prognostic value of the MAI, the histological grade and other prognostic factors.

RESULTS

The median observation time was 4.2 years. The MAI showed a positive correlation to lymph node status (P < 0.001) and a negative correlation to age (P = 0.005), menopausal status (P < 0.001) and the ER and PgR status (r(s) = -0.390 [ER], r(s) = -0.440 [PgR], both P < 0.001). A high MAI (> or = 15) predicted a reduced RFS and OS in the Kaplan-Meier analysis (P = 0.0070 and P = 0.0017, respectively). Also in the multivariate analysis, the MAI showed to be an independent predictor of poor RFS (P = 0.035), in addition to lymph node status. However, the MAI did not predict for OS, in contrast to tumor size and lymph node status.

CONCLUSION

The present study confirms that the MAI is an independent prognostic factor for RFS, but not for OS and may be useful for daily clinical practice.

Computer-generated nuclear features compared with axillary lymph node status and tumor size as indicators of breast cancer survival

The extent to which malignant cells deviate from normal is generally accepted to be a prognostic indicator. However, assessing the degree of deviation has been subjective and poorly reproducible. Our goal is to develop a computer program for objectively measuring nuclear size, shape, and texture from histologic slides and to make the program available on the Internet. We used this program to analyze 353 histologic sections obtained from patients with invasive breast cancer who were diagnosed and treated from 1981 through 1995 and who had determinable outcomes. The median follow-up was 8.3 years. We compared the relationship of survival with our computer-derived nuclear features versus axillary lymph node status and tumor size. We believe that our results are generally applicable because our patient survival, when stratified by lymph node status, was similar to that of the 24,000 breast cancer patients in the National Cancer Institute's Surveillance, Epidemiology, and End Results program. In multivariate analysis, the strongest prognostic factor was the largest nuclear area, followed by tumor size and the extent of axillary lymph node involvement. The mean area of the 3 largest nuclei when combined with tumor size identified 30% of all breast cancer patients who had an 87% 15-year breast cancer-specific survival. Inclusion of lymph node status added little to this 2-factor model. Routine axillary lymph node surgery for prognostic purposes may become unnecessary, because nuclear features may provide sufficient information.