The value of tumor infiltrating lymphocytes (TILs) for predicting response to neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis

FERAL: network-based classifier with application to breast cancer outcome prediction

MOTIVATION

Breast cancer outcome prediction based on gene expression profiles is an important strategy for personalize patient care. To improve performance and consistency of discovered markers of the initial molecular classifiers, network-based outcome prediction methods (NOPs) have been proposed. In spite of the initial claims, recent studies revealed that neither performance nor consistency can be improved using these methods. NOPs typically rely on the construction of meta-genes by averaging the expression of several genes connected in a network that encodes protein interactions or pathway information. In this article, we expose several fundamental issues in NOPs that impede on the prediction power, consistency of discovered markers and obscures biological interpretation.

RESULTS

To overcome these issues, we propose FERAL, a network-based classifier that hinges upon the Sparse Group Lasso which performs simultaneous selection of marker genes and training of the prediction model. An important feature of FERAL, and a significant departure from existing NOPs, is that it uses multiple operators to summarize genes into meta-genes. This gives the classifier the opportunity to select the most relevant meta-gene for each gene set. Extensive evaluation revealed that the discovered markers are markedly more stable across independent datasets. Moreover, interpretation of the marker genes detected by FERAL reveals valuable mechanistic insight into the etiology of breast cancer.

AVAILABILITY AND IMPLEMENTATION

All code is available for download at: http://homepage.tudelft.nl/53a60/resources/FERAL/FERAL.zip.

Elevated preoperative neutrophil-to-lymphocyte ratio predicts poor disease-free survival in Chinese women with breast cancer

Inflammation and tumor immune microenviroment are critical factors for prognosis in numerous cancers. The aim of this study was to determine the prognostic value of preoperative neutrophil-to-lymphocyte ratio (NLR) in breast cancer. We performed a retrospective analysis of 487 patients diagnosed with primary breast cancer at Shanghai Ruijin hospital from January 2009 to December 2010. Hematological parameters before surgery, clinicopathological data, and survival status were obtained. Survival analysis was used to evaluate the prognostic value of NLR. The optimal cutoff value was determined as 1.93 for NLR and the median follow-up time was 55.0 months. On univariate analysis, patients with high NLR (>1.93) had worse 5-year disease-free survival (DFS) compared to those with low NLR (77.9 vs 88.0 %, p = 0.002). Regarding overall survival, there was no significant difference between patients with high NLR and low NLR, with 5-year overall survival of 90.8 and 91.7 % (p = 0.707). In triple-negative breast cancer, patients with high NLR was associated with worse 5-year DFS compared with patients with low NLR (63.4 vs 84.9 %, p = 0.040). Mutivariate analysis revealed that NLR was an independent prognostic factor for DFS in breast cancer (HR = 1.867, 95 % confidence interval; (95%CI) = 1.155-3.017, p = 0.011). Preoperative NLR is an independent predictor of DFS in breast cancer patients, especially in triple-negative subtype. Further studies are required to validate the prognostic value of NLR before clinical application.

The in vitro immunogenic potential of caspase-3 proficient breast cancer cells with basal low immunogenicity is increased by hypofractionated irradiation

BACKGROUND

Radiotherapy is an integral part of breast cancer treatment. Immune activating properties of especially hypofractionated irradiation are in the spotlight of clinicians, besides the well-known effects of radiotherapy on cell cycle and the reduction of the clonogenic potential of tumor cells. Especially combination of radiotherapy with further immune stimulation induces immune-mediated anti-tumor responses. We therefore examined whether hypofractionated irradiation alone or in combination with hyperthermia as immune stimulants is capable of inducing breast cancer cells with immunogenic potential.

METHODS

Clonogenic assay, AnnexinA5-FITC/Propidium iodide assay and ELISA analyses of heat shock protein 70 and high mobility group box 1 protein were applied to characterize colony forming capability, cell death induction, cell death forms and release of danger signals by breast cancer cells in response to hypofractionated radiation (4x4Gy, 6x3Gy) alone and in combination with hyperthermia (41.5 °C for 1 h). Caspase-3 deficient, hormone receptor positive, p53 wild type MCF-7 and caspase-3 intact, hormone receptor negative, p53 mutated MDA-MB231 breast cancer cells, the latter in absence or presence of the pan-caspase inhibitor zVAD-fmk, were used. Supernatants of the treated tumor cells were analyzed for their potential to alter the surface expression of activation markers on human-monocyte-derived dendritic cells.

RESULTS

Irradiation reduced the clonogenicity of caspase deficient MCF-7 cells more than of MDA-B231 cells. In contrast, higher amounts of apoptotic and necrotic cells were induced in MDA-B231 cells after single irradiation with 4Gy, 10Gy, or 20Gy or after hypofractionated irradiation with 4x4Gy or 6x3Gy. MDA-B231 cells consecutively released higher amounts of Hsp70 and HMGB1 after hypofractionated irradiation. However, only the release of Hsp70 was further increased by hyperthermia. Both, apoptosis induction and release of the danger signals, was dependent on caspase-3. Only supernatants of MDA-B231 cells after hypofractionated irradiation resulted in slight changes of activation markers on dendritic cells; especially that of CD86 was upregulated and HT did not further impact on it.

CONCLUSIONS

Hypofractionated irradiation is the main stimulus for cell death induction and consecutive dendritic cell activation in caspase proficient breast cancer cells. For the assessment of radiosensitivity and immunological effects of radio- and immunotherapies the readout system is crucial.

Triple-negative Breast Carcinoma: Morphologic and Molecular Subtypes

Breast carcinoma is a heterogenous disease. Carcinomas lacking expression of estrogen, progesterone, and HER2/neu receptors by immunohistochemistry and Her2 amplification are designated as triple negative. This group of carcinomas comprises approximately 10% to 20% of all breast carcinomas and is characterized by an aggressive nature with shorter rates of disease-free and overall survival. This aggressive behavior is further compounded by the lack of available targeted therapies. Patients receive cytoxic chemotherapy regimens. Although tumors are initially sensitive to this therapy, drugs are toxic and ineffective in maintaining long-term response thereby providing limited benefit. Much effort is being spent on this group of cancers for the identification of appropriate molecular targets, an effort that is proving challenging due to the presence of marked heterogeneity, both at the morphologic and molecular levels. An understanding of the advances in this field is crucial for developing targeted therapies and tailored patient management protocols. This report summarizes the pathologic subtypes of breast cancer that are commonly of a triple-negative immunophenotype and recent molecular advances in this field.

Current Issues and Clinical Evidence in Tumor-Infiltrating Lymphocytes in Breast Cancer

With the advance in personalized therapeutic strategies in patients with breast cancer, there is an increasing need for biomarker-guided therapy. Although the immunogenicity of breast cancer has not been strongly considered in research or practice, tumor-infiltrating lymphocytes (TILs) are emerging as biomarkers mediating tumor response to treatments. Earlier studies have provided evidence that the level of TILs has prognostic value and the potential for predictive value, particularly in triple-negative and human epidermal growth factor receptor 2–positive breast cancer. Moreover, the level of TILs has been associated with treatment outcome in patients undergoing neoadjuvant chemotherapy. To date, no standardized methodology for measuring TILs has been established. In this article, we review current issues and clinical evidence for the use of TILs in breast cancer.

Hyaluronan, Inflammation, and Breast Cancer Progression

Breast cancer-induced inflammation in the tumor reactive stroma supports invasion and malignant progression and is contributed to by a variety of host cells including macrophages and fibroblasts. Inflammation appears to be initiated by tumor cells and surrounding host fibroblasts that secrete pro-inflammatory cytokines and chemokines and remodel the extracellular matrix (ECM) to create a pro-inflammatory “cancerized” or tumor reactive microenvironment that supports tumor expansion and invasion. The tissue polysaccharide hyaluronan (HA) is an example of an ECM component within the cancerized microenvironment that promotes breast cancer progression. Like many ECM molecules, the function of native high-molecular weight HA is altered by fragmentation, which is promoted by oxygen/nitrogen free radicals and release of hyaluronidases within the tumor microenvironment. HA fragments are pro-inflammatory and activate signaling pathways that promote survival, migration, and invasion within both tumor and host cells through binding to HA receptors such as CD44 and RHAMM/HMMR. In breast cancer, elevated HA in the peri-tumor stroma and increased HA receptor expression are prognostic for poor outcome and are associated with disease recurrence. This review addresses the critical issues regarding tumor-induced inflammation and its role in breast cancer progression focusing specifically on the changes in HA metabolism within tumor reactive stroma as a key factor in malignant progression.