Prediction of Recurrence for Advanced Breast Cancer

SIK2-positive tumor epithelial cells in breast cancer maybe potential anti-cancer messengers: A systematic analysis from a single-cell perspective

Breast cancer is the most common malignancy in the world and one of the leading causes of cancer death, which is a heterogeneous disease involving genetic and environmental factors. Breast cancer stem cells (BCSCs) are the main players in the aggressiveness of different tumors, at the same time, these cells are the main challenge for cancer treatment. There are multiple treatment options for breast cancer (BC) patients and the lack of understanding of prognostic and predictive biomarkers for breast cancer is a potential research direction for us to develop better treatments in the future. In this paper, we conducted a correlation analysis between SIK2 and clinical traits by searching numerous BRCA datasets in the GEO database. The model was constructed and validated by incorporating tumor samples from the TCGA-BRCA cohort. Surprisingly, we found differential expression of SIK2 gene in individual tumor samples from the UCSC database. Subsequently, we found significantly high expression of SIK2 in epithelial cells by comparing the differential expression of SIK2 in different cell subpopulations and performed subsequent immune infiltration and pathway correlation analysis. Differential genes in SIK2+ epithelial cells, which may be potential therapeutic targets for breast cancer. In conclusion, our results suggest that SIK2 may be a potential prognostic and predictive biomarker that could serve as an oncogenic messenger for breast cancer. This discovery of SIK2 may provide more valuable references for potential therapeutic tools for breast cancer.

Breast cancer biomarkers

Substantial progress has been made over the past three decades in our understanding of the epidemiology, clinical course and basic biology of breast cancer. This chapter considers the existing ancillary tests and emerging molecular markers in breast cancer prognosis assessment and the prediction of response of breast cancer to treatment of the disease.

Cytotoxic T Lymphocyte Count and Survival Time in Women with Metastatic Breast Cancer

While prognostic factors in early stage breast cancer are well documented, few studies have examined predictors of the rate of metastatic progression. The purpose of this study was to examine cytotoxic T-cell lymphocyte (CTL) count as a marker of disease status in women with metastatic breast cancer. This study examined CTL subset counts as predictors of subsequent survival in 113 women with metastatic or recurrent breast cancer. Samples were measured by flow cytometry using monoclonal antibodies for cell surface antigens for percentages and absolute numbers of CTLs (CD3/CD8), total lymphocytes, T cells (CD3), helper T cells (CD3/CD4), and total white blood cell (TWC) count. Higher CTL counts emerged as a significant predictor of longer survival up to 7 years later (Wald = 7.40, p = 0.007; Cox regression model). The relationship of higher CTL count with enhanced survival was independent of the effects of medical treatment. CTLs were significantly associated with TWC count (r = 0.42, p < 0.001). However, TWC count was not associated with subsequent survival time. Higher CTL count was associated with Karnofsky performance status (r = 0.27, p = 0.004). However, after adjustment for the Karnofsky score, the CTL count/survival relationship remained significant (Wald = 4.33, p = 0.038). In conclusion, there is a robust relationship between CTL count and survival that is independent of the effects of medical treatments, TWC count, and Karnofsky performance status. Moreover, a reduced CTL count may be a mediator or marker of more rapid disease progression in metastatic breast cancer.

Evaluation and reinforcement of the correlation of S-phase fraction with nodal metastases, tumor grade and tumor size in breast carcinoma patients in Pakistan

The aim of this study was to evaluate the S-phase fraction (SPF) of tumors in breast cancer patients in Pakistan. Its association with the traditional morphological prognostic markers, i.e., axillary lymph node metastasis, tumor size and grade, was also studied. Flow cytometry was used to estimate SPF on breast cancer tissues from 166 patients reported at the Aga Khan University Hospital between the years 1997 and 2000. Univariate analysis was done to find any association between SPF and the aforesaid variables. For the ease of analysis, the cases were subdivided into two categories depending on the SPF value, i.e., <10% (low-risk group) and > or = 10% (high-risk group). The mean and median SPF values were 21.45% and 20.035%, respectively, with a range of 3.26% to 54.30%. Twenty-six (15.66%) of the cases had SPF <10%, 57 (34.34%) had SPF from 10%-20%, and 83 (50%) had SPF >20%. A significant correlation between SPF and nodal metastasis was observed (p = 0.0111), but not between SPF and the number of lymph nodes involved when metastatic cases were subdivided into <4 lymph node-positive cases and > or =4 lymph node-positive cases. Significant correlations were also found between SPF and tumor grade (p = 0.0244), as well as between SPF and tumor size (p = 0.048). In conclusion, DNA flow cytometric analysis of SPF carried out in our laboratory could reasonably predict the chances of lymph node metastasis, tumor grade and size in breast cancer patients, thus proving to be an important prognostic marker in the Pakistani setting. This requires further investigations regarding the survival of patients so as to evaluate its capacity of predicting the outcome of Pakistani patients.

Locally advanced breast cancer in Saudi Arabia: high frequency of stage III in a young population

In the Kingdom of Saudi Arabia (KSA), breast cancer constitutes 18% of all cancers in Saudi women. Whilst locally advanced breast cancer disease is unusual in Western countries, it constitutes more than 40% of all non-metastatic breast cancer in KSA. The relative frequency of locally advanced disease among our breast cancer population and the lack of a uniform consensus in the literature about its optimal management have prompted this retrospective analysis of the medical records of patients with Stage III breast cancer patients seen at King Faisal Specialist Hospital and Research Center between 1981 and 1991. In all, 315 patients were identified. Their median age +/- SD was 46 +/- 11.6 years which is distinctly different from the 60-65 years median age in industrial Western nations. Most patients were younger than 50 years (64%) and premenopausal (62%). Patients were approximately equally divided between Stage IIIA and Stage III B. Patients received multimodality treatment, including surgery, adjuvant chemotherapy, tamoxifen, and adjuvant radiotherapy. Sixty-one patients were excluded from survival analysis as they were considered lost to follow-up. Of the remaining 254 patients, 73 (29%) were alive and disease free, and 18 patients (7%) were alive but with evidence of the disease. The remaining 163 (64%) had died from breast cancer or its related complications. Their median overall survival (OS) was 54 months, (95% CI, 27 to 121 months) and the median progression-free survival (PFS) was 28.8 months (95% CI, 14.2 to 113 months). Cox proportional hazard model identified Stage III B and the number of positive axillary lymph nodes as poor predictors of OS and PFS. Radiotherapy was the only adjuvant modality that affected survival favourably. The prognosis of patients with Stage III disease remains poor despite the use of a multimodality approach. The overall young age of our patients may have contributed to the poor outcome. Moreover, the adverse effect of Stage III B disease (as compared with Stage III A) and axillary nodal status was evident. Whilst the favourable effect of radiotherapy on survival was demonstrated, the lack of independent efficacy of other modalities (adjuvant chemotherapy and tamoxifen) or the apparent deleterious effect of neoadjuvant chemotherapy should be addressed with discretion in such retrospective analysis. Optimal management of patients with locally advanced breast cancer disease should be appraised in well designed, prospective, randomised studies.

Prognostic implications of expression of the cell cycle inhibitor protein p27Kip1

Mitogenic and growth inhibitory signals influence the activity of a family of cyclin dependent kinases (cdks). p27 is an important cdk inhibitor, acting in G1 to inhibit cyclin-cdks. As negative growth regulators, the cdk inhibitors may function as tumor suppressors. While the p16 gene plays a tumor suppressor role in cancers, p27 gene mutations have been identified only rarely. While high levels of p27 protein are expressed in normal human mammary epithelium, loss of p27 is frequent and is of independent prognostic significance in breast cancers. Low p27 is also a poor prognostic factor in colon, gastric, esophageal, lung, and prostate carcinomas, and enhanced proteasomal degradation may underlie loss of p27 in tumor cells. Loss of p27 has not been significantly correlated with tumor proliferation in a number of studies and may reflect alterations in differentiation and adhesion-dependent growth regulation germane to oncogenesis and tumor progression. Efforts to confirm the prognostic value of p27 are under way in a number of large breast cancer studies. These studies may also indicate whether loss of p27 in association with other traditional or novel markers has greater prognostic potential than each factor alone. p27 immunostaining is inexpensive and reliable and may become part of the routine histopathologic processing of tumors in the near future. Widespread application of p27 in prognostic testing will require greater uniformity in scoring techniques and determination of the cut off levels which distinguish individuals at high and low risk of cancer recurrence and death. Finally, the greatest utility of p27 may lie in the information it sheds on the biology of aberrant growth regulation in breast cancer and the potential to use this in the generation of novel therapeutic strategies.