Search

Cancer risk prognosis could improve patient survival through early personalized treatment decisions. This is the first systematic analysis of the spatial and prognostic distribution of different pan cytokeratin immunostaining intensities in breast tumors. The prognostic model included 102 breast carcinoma patients, with distant metastasis occurrence as the endpoint. We segmented the full intensity range (0&ndash, 255) of pan cytokeratin digitized immunostaining into seven discrete narrow grey level ranges: 0&ndash, 130, 130&ndash, 160, 160&ndash, 180, 180&ndash, 200, 200&ndash, 220, 220&ndash, 240, and 240&ndash, 255. These images were subsequently examined by 33 major (GLCM), fractal and first-order statistics computational analysis features. Interestingly, while moderate intensities were strongly associated with metastasis outcome, high intensities of pan cytokeratin immunostaining provided no prognostic value even after an exhaustive computational analysis. The intense pan cytokeratin immunostaining was also relatively rare, suggesting the low differentiation state of epithelial cells. The observed variability in immunostaining intensities highlighted the intratumoral heterogeneity of the malignant cells and its association with a poor disease outcome. The prognostic importance of the moderate intensity range established by complex computational morphology analyses was supported by simple measurements of its immunostaining area which was associated with favorable disease outcome. This study reveals intratumoral heterogeneity of the pan cytokeratin immunostaining together with the prognostic evaluation and spatial distribution of its discrete intensities.

Summary The purpose of this study was to improve the prognostic value of tumour histopathology image analysis methodology by image preprocessing. Key image qualities were modified including contrast, sharpness and brightness. The texture information was subsequently extracted from images of haematoxylin/eosin-stained tumour tissue sections by GLCM, monofractal and multifractal algorithms without any analytical limitation to predefined structures. Images were derived from patient groups with invasive breast carcinoma (BC, 93 patients) and inflammatory breast carcinoma (IBC, 51 patients). The prognostic performance was indeed significantly enhanced by preprocessing with the average AUCs of individual texture features improving from 0.68 ± 0.05 for original to 0.78 ± 0.01 for preprocessed images in the BC group and 0.75 ± 0.01 to 0.80 ± 0.02 in the IBC group. Image preprocessing also improved the prognostic independence of texture features as indicated by multivariate analysis. Surprisingly, the tonal histogram compression by the nonnormalisation preprocessing has prognostically outperformed the tested contrast normalisation algorithms. Generally, features without prognostic value showed higher susceptibility to prognostic enhancement by preprocessing whereas IDM texture feature was exceptionally susceptible. The obtained results are suggestive of the existence of distinct texture prognostic clues in the two examined types of breast cancer. The obtained enhancement of prognostic performance is essential for the anticipated clinical use of this method as a simple and cost-effective prognosticator of cancer outcome.

BACKGROUND: Basic fibroblast growth factor (bFGF) is a potent angiogenic and mitogenic factor that has been functionally predisposed to promote tumorigenesis, while literature data also associate bFGF with a favorable outcome of breast cancer.OBJECTIVE: In order to help resolve such controversy, this study set out to investigate the role of bFGF in breast cancer for the first time by use of the node-negative patient group with smaller tumors and without any systemic adjuvant therapy. This has allowed an increased homogeneity of the group and a far more reliable interpretation of results. METHODS: The study included 133 node-negative breast cancer patients with 33 distant metastasis events. bFGF levels were determined by ELISA in primary tumor tissue homogenates. RESULTS: bFGF in primary tumor tissue associated with favorable breast cancer outcome and its levels significantly and positively correlated with ER levels. CONCLUSIONS: The obtained results are relevant for the future prognostic research aimed at surpassing the currently achievable prognostic accuracies which are by far inadequate to allow reliable therapeutic decision making in breast cancer.

The only way to perceive the real clinical course of disease and the prognostic significance of potential biomarkers is follow-up of patients who did not receive any kind of adjuvant therapy. Many studies have confirmed high levels of interleukin 8 (IL8) in HER2-enriched and basal-like (ER–) primary breast tumours, but less is known about the significance of IL8 in hormone-dependent breast cancer. The aim of this study was to evaluate the prognostic significance of IL8 and clinicopathological parameters in hormone-dependent breast cancer, and to examine possible associations between them that might imply possible biological dependence. The study included 91 early-stage breast cancer patients with detectable levels of hormone receptors (ER>0, PR>0). None of the patients received adjuvant therapy according to valid protocol at that time. HER2 status was determined on paraffin-embedded tumour tissue sections by CISH. IL8 levels were determined by ELISA in cytosol tumour extracts of 65 patients with long-term follow-up (144 months). Nonparametric statistical tests were used for data analyses. Patients with low IL8 levels (M

Aim: Breast cancer prognosis is in the spotlight owing to its potentially major clinical importance in effective therapeutic management. Following our recent prognostic establishment of the fractal features calculated on binary breast tumor histopathology images, this study aimed to accomplish the first optimization of this methodology by direct comparison of monofractal, multifractal and co-occurrence algorithms in analysis of binary versus grayscale image formats. Patients & methods: The study included 93 patients with invasive breast cancer, without systemic treatment and a long median follow-up of 150 months. Results: Grayscale images provided a better prognostic source in comparison to binary, while monofractal, multifractal and co-occurrence image analysis algorithms exerted a comparable performance. Conclusion: The critical prognostic importance of the grayscale texture is revealed.

Background Cancer progression and metastasis are complex processes, dependent of molecules involved in inflammation, degradation and invasion. These molecules can be used as prognostic indicators to single out patients with higher risk of recurrence. Interleukin-8 (IL-8) has a role in inflammation, urokinase plasminogen activator (uPA), plasminogen activator inhibitor type-1 (PAI-1) and matrix metalloproteinase-2, -9 have a decisive part in the process of degradation and invasion, while vascular endothelial growth factor (VEGF) is consequential for angiogenesis. Objectives Aim of our study is to determine relations between IL-8, uPA, PAI-1, MMP-2, -9, VEGF as their prognostic significance in terms of recurrence free survival. Methods This study included 91 untreated patients with lymph node negative (N0) primary breast cancer. Results Patients with higher levels of uPA (p= 0.05), PAI-1 (0.05), MMP2 (p= 0.05) and IL-8 (p= 0.02) have a poor prognosis. Positive correlations were found between ER - PR, uPA - PAI-1, uPA - MMP9, PAI-1 - IL-8, MMP9 - IL-8, MMP9 - VEGF. Negative correlations were found between ER - IL-8, uPA - IL-8, MMP2 - VEGF. Conclusions Higher concentrations of IL-8, uPA, PAI-1 and MMP2, as is MMP9 and VEGF, confirmed aggressive phenotype and poor prognosis in different subgroups.

We evaluated urokinase-type plasminogen activator (uPA) and plasminogen activator inhibitor-1 (PAI-1) prognostic value in postmenopausal, node-negative breast cancer patients bearing tumors with estrogen receptor (ER)/progesterone receptor (PR) expression, treated with locoregional therapy alone, within an early follow-up. We focused our analysis on tumors of histological grade II in order to improve its prognostic value and, consequently, to improve a decision-making process. The cytosol extracts of 73 tumor samples were used for assessing several biomarkers. ER and PR levels were measured by classical biochemical method. Cathepsin D was assayed by a radiometric immunoassay while both uPA and PAI-1 level determinations were performed by enzyme-linked immunosorbent assays. HER-2 gene amplification was determined by chromogenic in situ hybridization (CISH) in primary tumor tissue. Patients bearing tumors smaller than or equal to 2 cm (pT1) or those with low PAI-1 levels (PAI-1

Owing to exceptional heterogeneity in the outcome of invasive breast cancer it is essential to develop highly accurate prognostic tools for effective therapeutic management. Based on this pressing need, we aimed to improve breast cancer prognosis by exploring the prognostic value of tumor histology image analysis. Patient group (n=78) selection was based on invasive breast cancer diagnosis without systemic treatment with a median follow-up of 147 months. Gray-level co-occurrence matrix texture analysis was performed retrospectively on primary tumor tissue section digital images stained either nonspecifically with hematoxylin and eosin or specifically with a pan-cytokeratin antibody cocktail for epithelial malignant cells. Univariate analysis revealed stronger association with metastasis risk by texture analysis when compared with clinicopathological parameters. The combination of individual clinicopathological and texture variables into composite scores resulted in further powerful enhancement of prognostic performance, with an accuracy of up to 90%, discrimination efficiency by the area under the curve [95% confidence interval (CI)] of 0.94 (0.87–0.99) and hazard ratio (95% CI) of 20.1 (7.5–109.4). Internal validation was successfully performed by bootstrap and split-sample cross-validation, suggesting that the models are generalizable. Whereas further validation is needed on an external set of patients, this preliminary study indicates the potential use of primary breast tumor histology texture as a highly accurate, simple, and cost-effective prognostic indicator of distant metastasis risk.

There is increasing evidence for the importance of immunity in breast cancer. IFNγ is expected to have a prognostic value based on its major role in innate and specific cell-mediated immunity. In this retrospective study, based on the 14-year follow-up of 73 patients with breast cancer after surgery and radiotherapy but no subsequent systemic therapy, we investigated the prognostic time dependence of intra-tumoural IFNγ mRNA and protein levels. Over the entire 14 years of follow-up, neither IFNγ mRNA nor protein was significantly associated with metastasis outcome by AUC and Cox regression criteria. However, evaluation of the shorter periods has revealed a prognostic significance in the late follow-up period of 7-14 years for IFNγ mRNA and protein with the maximal respective AUCs of 0.72 and 0.73 and hazard ratios of 6.1 and 5.2, respectively. Interestingly, the opposite prognostic association was discovered for IFNγ mRNA and protein in the first 7 years of follow-up, possibly due to the negative correlation of IFNγ protein and mRNA. Moreover, the prognostic association of IFNγ mRNA has shifted from marking the favourable outcome in the first 7 years to poor outcome thereafter. This study contributes to clarification of the previously inconsistent prognostic performance of IFNγ by providing the first prognostic evaluation with long follow-up, time-dependence assessment and absence of any chemotherapy influence.

Despite the increasing evidence for the importance of immunity in breast cancer, the contradictory role of inflammation has not been thoroughly researched. In this study, we investigate the prognostic value of intratumoral inflammation as evaluated by cytokine mRNA levels. Intratumoral mRNA was measured for IL1β, IL6, IL8, IL10 and IL17A, using Taqman quantitative PCR. By the AUC criteria, none of the cytokines associated with metastasis outcome over the entire follow-up period. However, separation of the follow-up period has revealed a time-dependent and robust prognostic association of IL β. It discriminated between patients with and without metastasis relapse by AUCs of 0.21 and 0.82 during the early and late follow-up of 0-7 and 7-14 years, respectively. Interestingly, the prognostic effect by IL1β shifted during follow-up from good prognosis in the first seven years to bad prognosis thereafter. By the less stringent criteria of Cox regression analysis, other cytokines also significantly associated positively or negatively with metastasis outcome. IL17A associated with good prognosis in the first 7 years of follow up while IL6 associated with poor and IL10 with good prognosis from 7 to 14 years. The revealed time-dependent prognostic effects of cytokine mRNA levels are intriguing and may reflect valuable biological information which should be considered in breast cancer immunotherapy research.

Angiogenesis is a complex phenomenon that involves interaction between growth factors/cytokines and their receptors, and proteolytic enzymes and their inhibitors, which, in addition to and in accordance with their main roles, act together during this multistep process. cancer angiogenesis is specific, because the same factors that enable angiogenesis are involved in the process of carcinogenesis. the aim of this review was to analyze the current knowledge regarding the significance of selected biomarkers in cancer angiogenesis, with emphasis on their prognostic value in the circulation.

In our study we investigated the role of the estrogen receptor (ER), progesterone receptor (PR) and clinicohistological parameters in breast cancer patients treated with tamoxifen during the early (2.5 years) vs. late (2.5-5 years) follow-up. The negative status of both ER and PR and tumors equal to or bigger than 2 cm defined the phenotypes and consequently the groups of patients with the worst clinical course of the disease: ER-negative PR-negative, ER-negative pT2 and PR-negative pT2. These high-risk subgroups were related to early follow-up indicating de novo resistance. It is relevant to point out that examined predictive indicators did not show significant importance in the late follow-up study.

Angiogenesis, or neovascularization, is a complex process leading to formation of new blood vessels from the pre-existing vascular network of the tissue. Angiogenesis plays a central role in various physiological and pathological conditions, including embryonic development, reproduction, inflammation and wound healing, infertility, heart diseases, ulcers, rheumatoid arthritis, diabetic blindness and cancer. It is a multistep process involving EC activation, basement membrane and extracellular matrix (ECM) degradation, EC proliferation, migration and differentiation, synthesis of new basement membrane and maturation of new blood vessels. Tumor vasculature is considered to be of an "immature" nature with series of structural abnormalities. There are reciprocal paracrine interactions between ECs, tumor cells, stroma and ECM. Angiogenesis plays a key role in transformation of normal to malignant cell, tumor progression and metastasis. It is similar to the metastatic process in that it requires EC attachment, proteolysis, and locomotion to proceed. A close relationship exists between the tumor and ECs invasiveness of the tissue. The switch to the angiogenic phenotype involves a change in the local equilibrium between positive and negative regulators of the growth of microvessels. Basic fibroblast growth factor (bFGF) and vas?cular endothelial growth factor (VEGF) are positive regulators of angiogenesis. Intimate cross-talk exists among bFGF and the different members of the VEGF family during angiogenesis, lymphangiogenesis, and vasculogenesis. A substantial body of experimental evidence supports the hypothesis that angiogenesis and angiogenic factors may be strong prognostic and predictive factors in breast carcinoma. This article reviews the current knowledge on angiogenesis and its positive regulators: bFGF and VEGF. .

In addition to classical prognostic/predictive factors, significant biological markers have been identified to provide potentially relevant information regarding natural or clinical course of breast cancer. Steroid receptor status of the primary breast cancer have been proven to be a predictor of response to endocrine therapy since up to 80 % of patients with steroid receptor-positive tumors respond to endocrine treatment. In order to improve the predictive value of steroid receptor status, attention has been paid to estrogen-regulated proteins, including pS2 and cathepsin D among others that may be indicators of a functional signal transduction pathway through which tumor cells respond to estrogen stimulation. It has been shown that pS2 protein may be constitutive product as well as estrogen-regulated product in breast carcinoma. pS2 appears to be positively correlated with ER, associated with a good prognosis and a predictor of response to endocrine treatment of primary and metastatic breast cancer. The expression cathepsin D may be both constitutive and overexpressed as a result of estrogen-induced transcription. It was believed that the main role of cathepsin D was to degrade protein, but many other biological functions of cathepsin D were recognized. Cathepsin D level in primary breast cancer has been demonstrated as an independent marker of poor prognosis associated with increased risk for metastasis and shorter survival times. Our recent results show direct correlation of cathepsin D positivity with pS2 expression. Additionally, we found that cathepsin D is statistically significantly associated with pS2 both in node-negative and node-positive patients bearing tumors smaller than 2 cm. .

were the viceral in 25 patients, bone in 9 patients and soft tissue in 17 patients. The overall response rate (RR) was 22.9% (11/48) and clinical benefit rate was 45.8% (22/48). The median time to tumor progression (TTP) was 14.3 months (range 6.2 22.4). ER, PgR and HER2 status was not significantly correlated with RR (P=0.724, 0.288, 1.000, respectively). TS expression was significantly associated with clinical efficacy of S-1. Moreover, it is notable that triple negative breast cancer (TNBC) revealed lower TS expression than luminal type (TNBC vs luminal type = 1.03 (0.32 4.70) vs 2.45 (0.42 10.1), P= 0.020). According to the correlation between metastatic sites and RR, better RR was noted for soft tissue metastases (soft tissue vs visceral = 25% (5/20) vs 84% (5/6), OR 15.0 (95%CI 1.40 161.05). Conclusion: This study demonstrated that TS can be a significant predicitve factor of S-1 in patients with MBC.