Kind Of Breast Cancer Research Articles

Nomogram for predicting outcomes in elderly women with mucinous breast cancer: A retrospective study combined with external validation in southwest China.

Mucinous breast cancer (MBC) is a kind of breast cancer (BC), which is rare in clinic, mainly for women, because of the low incidence rate, so there is no unified standard treatment protocol. Elderly patients have a poor prognosis due to their combined comorbidities. This study aims to investigate the effect of surgery and chemoradiotherapy on the prognosis of elderly female MBC patients and construct nomograms for predicting the OS and CSS in elderly female MBC patients. Data for female MBC patients over 65 years are obtained from the Surveillance, Epidemiology and End Results (SEER) database, patients were divided into two groups: the training set and the validation set. External validation data of the prediction model were provided by Kunming Hospital of Traditional Chinese Medicine. We used Cox regression modeling, which was used to identify independent risk factors affecting patient prognosis. After avoiding confounding bias according to the multifactorial Cox regression model, we used these screened statistically significant results to construct column-line plots. The performance of the model was tested using the consistency index (c-index), the calibration curve, and the area under the operating characteristic curve of the receiver (AUC). Subsequently, we used decision curve analysis (DCA) to examine the potential clinical value of our nomograms. A total of 8103 elderly MBC female patients were extracted from the database SEER and were assigned to the training and validation set, randomly. A total of 83 patients from Kunming Hospital of Traditional Chinese Medicine were used in the external verification set. After multifactorial Cox regression analysis, we found that age, race, T-stage, M-stage, surgical approach, radiotherapy, and tumor size were independent risk factors for OS in elderly MBC patients. Similarly, independent risk factors of CSS included age, marital status, N stage, M stage, surgical approach, chemotherapy, and tumor size. The C-index for the OS training, validation, and external verification set were 0.731 (95%CI 0.715-0.747), 0.738 (95%CI 0.724-0.752), and 0.809 (95%CI 0.731-0.8874). The C-index of the training set, the validation set, and external verification set for CSS were 0.786 (95%CI 0.747-0.825), 0.776 (95%CI 0.737-0.815), and 0.84 (95%CI0.754-0.926), respectively. The AUC, calibration curves and DCA also showed good accuracy. In this study, we construct a new nomogram to predict the prognosis of elderly patients with MBC. The nomograms have undergone internal and external validation and have been confirmed to have good clinical applicability. At the same time, we found that for elderly female MBC patients, surgery and radiotherapy significantly benefit their survival, but chemotherapy is not conducive to patient survival.

TROP2 regulates cisplatin sensitivity of triple-negative breast cancer cells by regulating endoplasmic reticulum stress.

Triple-negative breast cancer (TNBC) is a kind of breast cancer with a high metastasis rate and poor prognosis. As a transmembrane glycoprotein, tumor-associated calcium signal transducer 2 (TROP2) plays a certain role in the cancers. This study aimed to explore the potential mechanism of TROP2 affecting cisplatin (CDDP) resistance in TNBC from endoplasmic reticulum stress (ERS). MDA-MB-231 and CDDP-resistant cell lines MDA-MB-231/CDDP were used in this study, and the expression of TROP2 was detected by western blotting. After transfecting with the interference sequence of siRNA targeting TROP2, cell proliferation and apoptosis were detected by the cell counting kit-8, colony formation, and flow cytometry, and the expression of ERS-marker proteins was detected by western blotting. Furthermore, the effects of ERS in TROP2 on drug resistance of TNBC cells were explored by using ERS inhibitor 4-phenylbutyric acid (4-PBA). Results found that TROP2 expression in MDA-MB-231/CDDP was significantly upregulated compared with MDA-MB-231. The expression of TROP2 in MDA-MB-231/CDDP was significantly decreased after transfection with siRNA-TROP2, and the proliferation of MDA-MB-231 and MDA-MB-231/CDDP cells was significantly decreased after further induction with CDDP. TROP2 significantly affected TNBC cell cloning, apoptosis, and the expression of ERS-related marker proteins, while 4-PBA reversed the promoting effects of siRNA-TROP2 on apoptosis and ERS, as well as the inhibitory effects on cell proliferation, suggesting that TROP2 affected the resistance of TNBC cells to CDDP through ERS. In conclusion, TROP2 inhibited apoptosis of TNBC cells, improved the cell cloning ability, and regulated the sensitivity of TNBC cells to CDDP through ERS.

Triple Negative Breast Cancer (TNBC): Cannabis sativa-Role of Phytocannabinoids

This review paper highlights the role of phytocannabinoids in controlling triple-negative breast cancer (TNBC). Triple-negative breast cancer (TNBC) is a specific subtype of breast cancer that does not express estrogen receptor (ER), progesterone receptor (PR), or human epidermal growth factor receptor 2 (HER-2), which has clinical features that include high invasiveness, high metastatic potential, proneness to relapse, and poor prognosis. TNBC is one of the most aggressive subtypes of breast cancer that is often associated with poor patient outcomes because of the development of metastases in secondary organisms like in the brain, bone, and lungs. Triple-negative breast cancer (TNBC) is a kind of breast cancer that does not have any of the receptors that are commonly found in breast cancer. The highest number of TNBC cases has been recorded in India. Currently, TNBC is highly prevalent among Indian women and develops approximately 20% to 43% of all patients with breast cancer. Triple-negative breast cancer (TNBC) is an aggressive malignancy that requires effective targeted drug therapy. Patients with TNBC develop metastasis and recurrence over time and have reduced survival compared to patients with other subtypes of breast cancer. Pre-clinical studies have demonstrated that phytocannabinoids exert important antitumor properties in the main breast cancer subtypes, particularly in TNBC, where different phytocannabinoids and synthetic cannabinoids have shown interesting therapeutic actions. Neither CBD nor THC are universally efficacious in reducing cancer cell viability. Focusing on in vitro studies, the effect of CBD on cancer cell viability ranges from no effect, to a modest reduction, and to significant cytotoxicity depending on concentrations, cancer cell lines, cell growth conditions, the performed assays, and the time of CBD exposure. However, it should also be noted that research into the efficacy, dosage and drug safety of cannabinoids in tumor therapy still has a long way to go, especially with regard to human clinical trials to be conducted, through which alone the benefits and advantages for cancer patients but also possible risks can be defined.

Therapeutic significance of long noncoding RNAs in estrogen receptor-positive breast cancer.

About 70% of cases of breast cancer are compromised by Estrogen-positive breast cancer. Through its regulation of several processes, including cell proliferation, cell cycle progression, and apoptosis, Estrogen signaling plays a pivotal role in the genesis and progression of this particular kind of breast cancer. One of the best treatment strategies for treating Estrogen-positive breast cancer is blocking Estrogen signaling. However, patients' treatment failure is mainly caused by the emergence of resistance and metastases, necessitating the development of novel therapeutic targets. Numerous studies have shown long noncoding RNAs (lncRNAs) to play a role in Estrogen-mediated carcinogenesis. These lncRNAs interact with co-regulators and the Estrogen signaling cascade components, primarily due to Estrogen activation. Vimentin and E-cadherin are examples of epithelial-to-mesenchymal transition markers, and they regulate genes involved in cell cycle progression, such as Cyclins, to affect the growth, proliferation, and metastasis of Estrogen-positive breast cancer. Furthermore, a few of these lncRNAs contribute to developing resistance to chemotherapy, making them more desirable targets for enhancing results. Thus, to shed light on the creation of fresh approaches for treating this cancer, this review attempts to compile recently conducted studies on the relationship between lncRNAs and the advancement of Estrogen-positive breast cancer.

IN SILICO STUDIES OF SOME NEWLY DESIGNED BENZIMIDAZOLETHIAZOLIDINONE BASED ANTAGONISTS OF HUMAN ESTROGEN RECEPTOR

Breast cancer is globally associated with majority of the women. Indeed, high estrogen levels are the most common subtype of breast cancer. Three different classes of estrogen receptor antagonists are frequently used to treat such kinds of breast cancers. Each of these interacts directly with the initiation and activation of the estrogen signalling pathway. However, new medicines must be developed because resistance limits the therapeutic effectiveness. In silico studies for drug discovery have become popular in recent years due to their low cost and quick execution. To develop novel therapeutics for breast cancer, three different series of benzimidazole compounds targeting the estrogen receptor were docked. Among these three series, benzimidazole fused with pyrazole showed significant results and the leading compound was 32 based on docking results. The docking data was further validated by executing molecular dynamics (MD) simulations for the stability of designed leads within the macromolecular cavity in relation to time. Therefore, it is proposed that the pyrazole fused benzimidazole nucleus can be a promising pharmacophore for developing novel anticancer therapeutics for breast cancer.

Abstract 6564: Biomarker discovery in triple negative breast cancer using RNA-sequencing analysis

Abstract Breast cancer is the most common form of cancer, and afflicted over 2.2 million people in 2020. The sheer volume of patients who suffer from breast cancer warrants continued research and discovery efforts to improve treatment options. Triple negative breast cancer (TNBC) affects 10-15% of breast cancer patients. Unlike other forms of breast cancer, TNBC does not have estrogen or progesterone receptors and makes little to none of the HER2 protein. Due to the lack of these biomarkers that are typical treatment targets for other kinds of breast cancers, the hormone therapies and drugs that target other breast cancers are often ineffective against TNBC. This leaves chemotherapy and radiation therapy as the main treatment options. Although chemotherapy and radiation have treatment benefits, the recurrence rate after treatment is around 40%. Furthermore, these treatment options are very detrimental to the body, resulting in a weaker patient and a necessary recovery time between treatments. In this study, we analyzed publicly available RNA-sequencing (RNA-seq) data to identify the upregulated and downregulated transcriptional mechanism(s) that play a role in TNBC compared to healthy breast tissue. The analysis of the RNA-seq data was completed with the Automated Reproducible Modular Workflow for Preprocessing and Differential Analysis of RNA-seq Data (ARMOR), which trims, maps, and quantifies the mRNA sequencing reads to the human transcriptome for each read. The ARMOR program identified more than 12,000 differentially expressed genes between TNBC and healthy breast tissue samples. We then applied an artificial intelligence-based classification method, a random forest algorithm, to identify new biomarkers that best differentiate TNBC cells from healthy cells. These specific transcriptional biomarkers for TNBC could potentially be used as diagnostic biomarkers or as therapeutic targets. We anticipate that this data may expand the treatment options for TNBC. Citation Format: Jenna B. Poulsen, Mauri E. Dobbs, Naomi Rapier-Sharman, Brett E. Pickett. Biomarker discovery in triple negative breast cancer using RNA-sequencing analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6564.

The Role of Monoclonal Antibodies in Breast Cancer

Monoclonal antibody-based therapy is a promising strategy to treat breast cancer because, as a targeted cancer drug, it locates and binds to a specific cancer cell. The importance of monoclonal antibodies to give an additional and efficient channel remains a serious issue because several kinds of breast cancer, particularly Triple-negative breast cancer (TNBC), have limited methods and a low response to conventional drug therapy. Although patients associated with metastatic diseases used to experience short survival and poor prognosis, developments have been achieved recently. The development of targeted cancer drugs is thought to improve clinical therapies for breast cancers and the overall survival length of patients. Expectations are that targeted cancer drugs will be pair used with chemotherapy, and data has already shown that patients lived nearly two times longer compared to before. This review provides an overview of three types of monoclonal antibodies, trastuzumab, pertuzumab, and trodelvy (sacituzumab govitecan) respectively, which all act as targeted cancer drugs in breast cancer treatments. Three main parts are included in this review, involving the historical development of the drugs, the mechanism of the drugs, and the issues of the drugs while being utilized to treat breast cancer, which is separated into two parts: the side effects and drug resistance.

Ranking Breast Cancer Drugs and Biomarkers Identification Using Machine Learning and Pharmacogenomics.

Breast cancer is one of the major causes of death in women worldwide. It is a diverse illness with substantial intersubject heterogeneity, even among individuals with the same type of tumor, and customized therapy has become increasingly important in this sector. Because of the clinical and physical variability of different kinds of breast cancers, multiple staging and classification systems have been developed. As a result, these tumors exhibit a wide range of gene expression and prognostic indicators. To date, no comprehensive investigation of model training procedures on information from numerous cell line screenings has been conducted together with radiation data. We used human breast cancer cell lines and drug sensitivity information from Cancer Cell Line Encyclopedia (CCLE) and Genomics of Drug Sensitivity in Cancer (GDSC) databases to scan for potential drugs using cell line data. The results are further validated through three machine learning approaches: Elastic Net, LASSO, and Ridge. Next, we selected top-ranked biomarkers based on their role in breast cancer and tested them further for their resistance to radiation using the data from the Cleveland database. We have identified six drugs named Palbociclib, Panobinostat, PD-0325901, PLX4720, Selumetinib, and Tanespimycin that significantly perform on breast cancer cell lines. Also, five biomarkers named TNFSF15, DCAF6, KDM6A, PHETA2, and IFNGR1 are sensitive to all six shortlisted drugs and show sensitivity to the radiations. The proposed biomarkers and drug sensitivity analysis are helpful in translational cancer studies and provide valuable insights for clinical trial design.

Structure-Activity Relationship Studies Based on 3D-QSAR CoMFA/CoMSIA for Thieno-Pyrimidine Derivatives as Triple Negative Breast Cancer Inhibitors.

Triple-negative breast cancer (TNBC) is defined as a kind of breast cancer that lacks estrogen receptors (ER), progesterone receptors (PR), and human epidermal growth factor receptors (HER2). This cancer accounts for 10-15% of all breast cancers and has the features of high invasiveness and metastatic potential. The treatment regimens are still lacking and need to develop novel inhibitors for therapeutic strategies. Three-dimensional quantitative structure-activity relationship (3D-QSAR) analyses, based on a series of forty-seven thieno-pyrimidine derivatives, were performed to identify the key structural features for the inhibitory biological activities. The established comparative molecular field analysis (CoMFA) presented a leave-one-out cross-validated correlation coefficient q2 of 0.818 and a determination coefficient r2 of 0.917. In comparative molecular similarity indices analysis (CoMSIA), a q2 of 0.801 and an r2 of 0.897 were exhibited. The predictive capability of these models was confirmed by using external validation and was further validated by the progressive scrambling stability test. From these results of validation, the models were determined to be statistically reliable and robust. This study could provide valuable information for further optimization and design of novel inhibitors against metastatic breast cancer.

Triple-Negative Breast Cancer: A Brief Review About Epidemiology, Risk Factors, Signaling Pathways, Treatment and Role of Artificial Intelligence.

Triple-negative breast cancer (TNBC) is a kind of breast cancer that lacks estrogen, progesterone, and human epidermal growth factor receptor 2. This cancer is responsible for more than 15–20% of all breast cancers and is of particular research interest as it is therapeutically challenging mainly because of its low response to therapeutics and highly invasive nature. The non-availability of specific treatment options for TNBC is usually managed by conventional therapy, which often leads to relapse. The focus of this review is to provide up-to-date information related to TNBC epidemiology, risk factors, metastasis, different signaling pathways, and the pathways that can be blocked, immune suppressive cells of the TNBC microenvironment, current and investigation therapies, prognosis, and the role of artificial intelligence in TNBC diagnosis. The data presented in this paper may be helpful for researchers working in the field to obtain general and particular information to advance the understanding of TNBC and provide suitable disease management in the future.

Quantitative analysis of multiple breast cancer biomarkers using DNA-PAINT.

Immunotherapy has become an efficient treatment method of breast cancer. Detection of proteins such as PD-L1 and CTLA-4, which are important immune checkpoint molecules, is attracting more and more attention as they play key roles in immunotherapy. Here, by combining the high resolution of DNA-PAINT (DNA points accumulation for imaging in nanoscale topography) with the qPAINT quantitative analysis method, accurate spatial localization and absolute quantification of PD-L1 and CTLA-4 on the membrane of breast cancer cells could be achieved. Meanwhile, exchange-PAINT was also conducted to count three other biomarkers (EpCAM, EGFR, and HER2). Simultaneous analysis of these biomarkers can greatly facilitate the differentiation of different kinds of breast cancer. Such a simple quantitative analysis method holds great potential in diagnosis and immunotherapy of cancers.

292 Poster - Integration of genomic profiling and functional screening identifies potential driver somatic copy number alterations in triple-negative breast cancer

Background: Triple-negative breast cancer (TNBC) is a kind of breast cancer with early recurrence and high heterogeneity, lacking targeted therapies. TNBC possessed few mutations but many somatic copy number alterations (SCNAs).

Improved therapeutic efficacy of quercetin-loaded polymeric nanoparticles on triple-negative breast cancer by inhibiting uPA.

Triple negative breast cancer (TNBC) is one kind of breast cancer that demonstrates highly aggressive tumor biology. The high heterogeneity of TNBC makes its individual clinical treatment extremely blind and limited, which also introduces more challenges into the diagnosis and treatment of diseases. Urokinase-type plasminogen activator (uPA) is a high level marker for breast cancer, which mediates tumor growth and metastasis. Quercetin is a plant-derived flavonoid in many plants, which inhibits uPA and has low bioavailability and mediocre pharmaceutical efficacy. Thus, we herein developed polymeric nanoparticulate systems from PLGA-TPGS (Qu-NPs) for quercetin oral delivery and evaluated the anticancer effect of this formulation on TNBC in vitro and in vivo. Qu-NPs have a uniform spherical morphology with a mean diameter of 198.4 ± 7.8 nm and good drug loading capacity (8.1 ± 0.4%). Moreover, Qu-NPs exhibited significantly improved inhibition on the growth and metastasis in TNBC cells. Following oral gavage, a remarkable antitumor effect of Qu-NPs on 4T1-bearing mice was observed with a tumor inhibition ratio of 67.88% and fewer lung metastatic colonies. Furthermore, the inhibitory effect of quercetin on the migration of uPA knockdown MDA-MB231 cells was greatly attenuated. Together, Qu-NPs improved the significant antitumor and antimetastatic effects by inhibiting uPA, which provides a new strategy for the treatment of TNBC.

MicroRNA-206 inhibits metastasis of triple-negative breast cancer by targeting transmembrane 4 L6 family member 1.

Purpose: Breast cancer (BC) is a common malignancy in women, but the survival rate for BC is not very encouraging. Especially for triple-negative breast cancer (TNBC), a kind of breast cancer that does not have any of the receptors that are commonly found in BC. We investigated the impact of microRNA-206 (miR-206) on transmembrane 4 L6 family member 1 (TM4SF1) in TNBC for therapeutic purpose.Patients and methods: Twenty BC tissues from diagnosed BC patients were analyzed via real-time PCR and Western blotting for expression of TM4SF1 and miR-206. The expression of TM4SF1 was studied in relationship with miR-206 in MDA-MB-231 cells. The biological impact of TM4SF1 and miR-206 on MDA-MB-231 cells and BALB/c nude mice model was studied using proliferation, transwell migration, and invasion assays both in vitro and in vivo.Results: The expression of TM4SF1 in BC tissues was significantly higher than that in adjacent normal breast tissues. In contrast, miR-206 showed a decreased expression level in BC tissues, especially for subtype basal like. Overexpression of miR-206 in MDA-MB-231 cells by transfecting miR-206 resulted in downregulation of TM4SF1. In contrast, knockdown miR-206 expression reversed miR-206-mediated phenotype in MDA-MB-231 cells. Expression level of TM4SF1 in MDA-MB-231 cells was associated with cell migration and invasion capabilities in vitro. Breast tumor burden was correlated with the expression level of TM4SF1 in vivo.Conclusion: Taken together, our results showed the involvement of TM4SF1 in TNBC migration and invasion. miR-206 negatively regulated gene expression of TM4SF1. These findings indicate that miR-206 could be used as a potential therapeutic agent for TNBC.

Computer-assisted frameworks for classification of liver, breast and blood neoplasias via neural networks: A survey based on medical images

Computer Aided Diagnosis (CAD) systems can support physicians in classifying different kinds of breast cancer, liver cancer and blood tumours also revealed by images acquired via Computer Tomography, Magnetic Resonance, and Blood Smear systems. In this regard, this survey focuses on papers dealing with the description of existing CAD frameworks for the classification of the three mentioned diseases, by detailing existing CAD workflows based on the same steps for supporting the diagnosis of these tumours. In detail, after an appropriate acquisition of the images, the fundamental steps carried out by a CAD framework can be identified as image segmentation, feature extraction and classification. In particular, in this work, specific CAD frameworks are considered, where the task of feature extraction is performed by using both traditional handcrafted strategies and Convolutional Neural Networks-based innovative methodologies, whereas the final supervised pattern classification is based on neural/non-neural machine learning methods. The cited methodology is focused on sharing and reviewing an amount of specific works. Then, the performance of three selected case studies are carefully reported, designed with the aim of showing how final outcomes can vary according to different choices in each step of the adopted workflow. More in detail, these case studies concern with breast images acquired by Tomosynthesis and Magnetic Resonance, hepatocellular carcinoma images acquired by Computed Tomography and enhanced by a triphasic protocol with a contrast medium, peripheral blood smear images for cellular blood tumours and are used to compare their performance.

The expression of APE1 in triple-negative breast cancer and its effect on drug sensitivity of olaparib.

Triple-negative breast cancer is a kind of breast cancer with poor prognosis and special biological behavior, which lacked endocrine therapy and targeted therapy. We investigate the effect of human APE1 (apurinic/apyrimidyl endonuclease 1), a rate-limiting enzyme of base excision repair, on the prognosis in triple-negative breast cancer and drug sensitivity of olaparib. The expression of APE1 was detected by immunohistochemistry in the triple-negative breast cancer tissues and its effect on survival of triple-negative breast cancer patients was followed. To find whether APE1 effect the drug sensitivity in triple-negative breast cancer cells, the APE1-knockout HCC1937 cell line (triple-negative breast cancer cell line) was established by CRISPR/Cas9 system. Then, we use the wild-type and knockout one to test the drug sensitivity of olaparib. The expression of APE1 in triple-negative breast cancer tissues was significantly higher than that in the adjacent tissues (85.6% vs 14.4%) and its expression was related to tumor size (p < 0.05). We also found that it is an independent prognostic factor in patients with triple-negative breast cancer (overall survival, p = 0.01). In vitro assay, the half maximal inhibitory concentration of olaparib in HCC1937-APE1-KO was significantly increased (17.22 vs 91.85 μM) compared to the wild type. The growth curve showed that olaparib had a stronger lethality on HCC1937 compared to HCC1937- APE1-KO (p < 0.05 on day 3). HCC1937 resulted in more mitotic G2/M arrest and increased apoptosis rate after treatment with 40 μM of olaparib, while HCC1937-APE1-KO did not change significantly. When HCC1937 was treated with different concentrations of olaparib, it was found that APE1 expression decreased more significantly at 15 μM of olaparib was. In HCC1937-APE1-KO, the expression of endogenous poly (ADP-ribose) polymerase 1 was also less than that of HCC1937. These results suggested that the expression of APE1 was an important basis for the maintenance of poly (ADP-ribose) polymerase 1, and the deletion of APE1 may be related to the resistance of olaparib.

Comparison of Clinicopathological Features and Prognosis in Triple-Negative and Non-Triple Negative Breast Cancer

Purpose: Triple-negative breast cancer (TNBC) has attracted more attention both clinically and experimentally because of its high-risk biological characteristics and lacking of effective treatment method. The purpose of this retrospective study was to find out the incidence of triple-negative breast cancer (TNBC) in all kinds of breast cancers and to compare and analyze the clinicopathological features, recurrence, metastasis and prognosis of patients with TNBC and non-triple negative breast cancer (non-TNBC).Methods: A total of 1578 female patients with primary breast cancer were diagnosed and treated at the department of General Surgery, the Chinese PLA General Hospital, China, from Jan. 2004 to Jun. 2009. The 1578 breast cancer patients were divided into two groups: the TNBC group and the non-TNBC group. The clinical features and prognosis of the two groups were compared.Results: The incidence of TNBC was 20.41%. Compared with the non-TNBC, the TNBC were characterized as younger age, higher histological grade, higher rate of positive lymph node, bigger tumor size, higher clinical stage at diagnosis, higher histological grade, quicker and easier recurrence and metastasis and lower 5-year DFS rate and 5-year OS rate. The metastasis of TNBC had obvious organic tendency. The lungs, liver and brain were the first three most common sites of metastases. The information of age, the tumor size, lymph node status, clinical stage, histological grade, pathological types and operation method, especially the age and lymph node status play the important roles in judging the prognosis of TNBC.Conclusions: According to this study we found that TNBC was a distinct subgroup of breast cancer with particular clinicopathologic behavior. Compared with the non-TNBC, TNBC was characterized by more aggressive behavior, and lower DFS and OS rate. The metastasis of TNBC had obvious organic tendency. The information of age, the maximum diameter of the tumor, lymph node status, clinical stage, histological grade, pathological types and operation method, especially the age and lymph node status played the important roles in judging the prognosis of TNBC patients.

Ethnogenetic layering to link and predict African American breast cancer patient outcomes with specific African origins

Cancer is a dramatic case of multilevel selection that is highly influenced by an individual's genetic and epigenetic background. The high frequency of aggressive, early onset and highly fatal breast cancer among African American women suggests that there may be a contributing ancestral component. Using ethnogenetic layering (EL) we have integrated social/cultural/abiotic/biotic environmental data with that of genetic/epigenetic and clinical data to identify subgroups of African Americans at risk for particular kinds of breast cancer. We have also used this technique to identify the relevant West and West Central African microethnic groups that may be the sources of relevant polymorphisms contributing to breast cancer etiologies in specific US regions.

A mouse model for triple-negative breast cancer tumor-initiating cells (TNBC-TICs) exhibits similar aggressive phenotype to the human disease

BackgroundTriple-negative breast cancer (TNBC) exhibit characteristics quite distinct from other kinds of breast cancer, presenting as an aggressive disease--recurring and metastasizing more often than other kinds of breast cancer, without tumor-specific treatment options and accounts for 15% of all types of breast cancer with higher percentages in premenopausal African-American and Hispanic women. The reason for this aggressive phenotype is currently the focus of intensive research. However, progress is hampered by the lack of suitable TNBC cell model systems.MethodsTo understand the mechanistic basis for the aggressiveness of TNBC, we produced a stable TNBC cell line by sorting for 4T1 cells that do not express the estrogen receptor (ER), progesterone receptor (PgR) or the gene for human epidermal growth factor receptor 2 (HER2). As a control, we produced a stable triple-positive breast cancer (TPBC) cell line by transfecting 4T1 cells with rat HER2, ER and PgR genes and sorted for cells with high expression of ER and PgR by flow cytometry and high expression of the HER2 gene by Western blot analysis.ResultsWe isolated tumor-initiating cells (TICs) by sorting for CD24+/CD44high/ALDH1+ cells from TNBC (TNBC-TICs) and TPBC (TPBC-TICs) stable cell lines. Limiting dilution transplantation experiments revealed that CD24+/CD44high/ALDH1+ cells derived from TNBC (TNBC-TICs) and TPBC (TPBC-TICs) were significantly more effective at repopulating the mammary glands of naïve female BALB/c mice than CD24-/CD44-/ALDH1- cells. Implantation of the TNBC-TICs resulted in significantly larger tumors, which metastasized to the lungs to a significantly greater extent than TNBC, TPBC-TICs, TPBC or parental 4T1 cells. We further demonstrated that the increased aggressiveness of TNBC-TICs correlates with the presence of high levels of mouse twenty-five kDa heat shock protein (Hsp25/mouse HspB1) and seventy-two kDa heat shock protein (Hsp72/HspA1A).ConclusionsTaken together, we have developed a TNBC-TICs model system based on the 4T1 cells which is a very useful metastasis model with the advantage of being able to be transplanted into immune competent recipients. Our data demonstrates that the TNBC-TICs model system could be a useful tool for studies on the pathogenesis and therapeutic treatment for TNBC.

Uncharted

Uncharted Speer Morgan In Fiona McFarlane's Jeffrey E. Smith Prize–winning story "Exotic Animal Medicine," a young Australian woman veterinarian in England undergoes a disturbing set of incidents on the day that she marries her English boyfriend and presumably starts a new life. Midway through their celebration, the wife, Sarah, is called in to the veterinary surgery to treat a friend's sick cat, and what happens to the couple on the way is at once strange and terrifying. McFarlane's story is edgy and understated in ways that remind one of Katherine Mansfield's best fiction. The young duo in Diane Simmons's crisply written adventure "Yukon River" are like McFarlane's couple in that they are setting off on a new life. Having bought land on the Yukon, where they plan to settle, they are forced to stay in Fairbanks until the weather warms. Living among the exploiters, prostitutes and pimps of the pipeline boom is more difficult than they expected, yet with the spunk and temerity of youth they set up a temporary household and come up with some tricks of their own. May-lee Chai's story "Tomorrow in Shanghai" is a harshly realistic depiction of contemporary China. A young Chinese doctor, sent to work in rural villages, has to harvest organs from a former village leader who was arrested and executed for illegally selling blood to needy rural hospitals. Chai contrasts the hard life of the provincial man–turned–criminal with [End Page 5] the squeamish doctor, who wants only to get out of the boonies and back to his more amenable city life as quickly as possible. "Queen Disease" by Reese Okyong Kwon is another story with a setting that is both familiar and curiously foreign. Lillian Yunyi Li, originally born in Korea, is an American graduate of Princeton temporarily working as a teacher in Seoul. The shadow in her life is an inherited gene that nearly guarantees her getting the same kind of breast cancer that killed her mother at a relatively young age. On a weekend evening she goes out with friends to an exotic nightclub in the Sinchon district, where the women sit at tables, served free food and drink, while men in adjoining rooms watch them on television monitors and have the ones who interest them "abducted" by waiters. Experiencing the oddities of a culture which is both hers and not hers, Lillian makes a step toward accepting her own and her friends' vulnerabilities. Tom Ireland's essay "Famous" depicts the November 2008 attack by Pakistani militants in a Mumbai railway station and the specific case of Ajmal Amir Kasab, the lone survivor among the terrorists. Ireland tries to understand what motivates people like Kasab to become terrorists, which in this case apparently had less to do with religion or politics than with being a young man so impoverished that terrorism was his one shot at fame, glory or money. Among other things, Ireland juxtaposes the violence of current life in India with the nonviolent legacy of Gandhi. In "What Happens to Heroes," Jonathan Starke writes about his experiences competing as a bodybuilder and being encouraged by a friend to use steroids. "The bodybuilding wasn't about being fit or in shape," he says. "It was about reaching a level of hardness that went beyond flesh." Starke's narcissistic obsession with a sport takes him to a dangerous and finally alien place, which he eventually wisely opts to escape. Joseph Murtagh's Smith Prize–winning essay "A Hive of Mysterious Danger" describes his work teaching literature to prison inmates in upstate New York, where he learns to appreciate his students' insights and individuality. While he doesn't deny the violence of prison culture, Murtagh shows it as a "hive" of more kinds of activity, interests and accomplishment than one might expect. Like the places in many of the pieces in this issue, even prison is at once strange and known, risky but unexpectedly promising. In Andrew McFadyen-Ketchum's interview of Robert Wrigley, we take a look inside Wrigley's poetry and stance on craft. Wrigley was born in East St. Louis. Once a student of Madeline DeFrees and...