Diagnosis and Treatment of Breast Cancer in the Precision Medicine Era

Study on Heparanase Promoting Breast Cancer Cell Proliferation and Inhibiting NK Cell Cytolytic Activity Via the PD-1/PD-L1 Pathway

OBJECTIVE

To explore the mechanism of action of heparanase (HPSE) in breast cancer (BC), particularly its impact on BC cell proliferation and natural killer (NK) cell cytolytic activity through the programmed cell death protein 1 (PD-1)/PD ligand 1 (PD-L1) pathway.

METHODS

HPSE expression levels were analyzed in BC cells. MDA-MB-231 cells, a widely used triple-negative BC model, were treated and assessed using RT-qPCR and Western blotting for gene and protein expression. CCK-8, Transwell assays, and flow cytometry were used to evaluate cell proliferation, migration, invasion, and apoptosis. NK cells isolated from healthy donors were treated with HPSE and co-cultured with BC cells to assess cytolytic activity through interferon-gamma (IFN-γ) and tumor necrosis factor-alpha (TNF-α) release measurements. A nude mouse xenograft model was established to examine the in vivo effects of HPSE on tumor growth and NK cell function.

RESULTS

HPSE overexpression enhanced BC cell proliferation, migration, and invasion, while reducing apoptosis. It also upregulated PD-1 and PD-L1 expression, leading to impaired NK cell cytolytic activity and decreased secretion of TNF-α and IFN-γ. Inhibition of the PD-1/PD-L1 pathway partially reversed the pro-tumor effects of HPSE and restored NK cell cytolytic function. In vivo, HPSE overexpression promoted tumor growth and reduced NK cell activity within tumor tissues.

CONCLUSION

These findings reveal HPSE as a key regulator of BC immune evasion, likely via modulation of the PD-1/PD-L1 axis. Targeting HPSE, particularly in combination with PD-1/PD-L1 inhibitors, may offer a novel therapeutic strategy for BC treatment.

Nomogram Development for Assessing Oncotype DX Recurrence Scores in Breast Cancer: A Chinese Population Study

BACKGROUND

Breast cancer (BC) is the most prevalent cancer among women worldwide, with increasing incidence rates, particularly in China. Given the high costs of Oncotype DX (ODX) testing, which predicts recurrence scores (RSs) on the basis of gene expression, developing a nomogram utilizing clinicopathological variables may provide an accessible alternative for risk stratification.

METHODS

We conducted a retrospective analysis of 703 estrogen receptor (ER)-positive, HER2-negative T1-3N0M0 BC patients who underwent ODX testing at Qilu Hospital. A nomogram was developed using multivariate logistic regression to predict low and high RSs in the group. Model performance was validated by receiver operating characteristic curve, calibration curve, and decision curve analysis.

RESULTS

Multivariate analysis revealed that older age, lower histologic grade, a higher ER expression level, a higher proportion of cells expressing progesterone receptor, and a lower proportion of cells expressing Ki-67 were significantly associated with a patient being in the low-risk subgroup. A nomogram was then developed using these variables to predict the RS, with an area under the curve (AUC) of 0.811 (95% confidence interval [CI] = 0.772-0.850) in the development group and 0.794 (95% CI = 0.737-0.851) in the validation group. Calibration and decision curve analyses further confirmed the nomogram's clinical utility. Moreover, a comparison between the TAILORx-nomogram and our nomogram was conducted, which proved that our nomogram has better predictive accuracy and reliability in Chinese BC patients.

CONCLUSION

We present the first nomogram for predicting the RS in Chinese patients with BC on the basis of clinicopathological factors. This model could aid in identifying patients who may not need ODX testing and serve as a cost-effective alternative for those unable to access ODX, thereby optimizing treatment decisions and enhancing patient management in resource-limited settings.

Identification of significant single-nucleotide polymorphisms associated with breast cancer recurrence and metastasis using GWAS

Background

Identification of risk genes and loci associated with the recurrence and metastasis of breast cancer (BC) is of utmost importance. Genome-wide association studies (GWASs) represent valuable tools for identifying the disease risk associated with a given single-nucleotide polymorphism (SNP); they offer significant insights into the disease progression mechanism by analyzing SNP information of the entire genome. Though GWAS has already identified several genetic susceptibility SNPs for BC, their significance in the recurrence and metastasis of this cancer remains unclear. Here, we used a GWAS approach to identify SNPs specifically associated with the risk of BC recurrence and metastasis.

Methods

This study adopted a two-stage GWAS approach. In the first stage, 97 pairs of BC patients with or without recurrence and metastasis, treated at the Shandong Cancer Hospital and Institute from November 2013 to April 2014, were identified using propensity score matching. DNA extracted from the patient peripheral blood was then subjected to Illumina ASA chip analysis for genome-wide SNP detection. In the second stage, the findings were verified in a validation set of 854 BC patients recruited at the same hospital from May 2014 to June 2015. SNP genotyping was performed using time-of-flight mass spectrometry. The SNP loci and their corresponding genes and pathways were analyzed using the DAVID (https://david.ncifcrf.gov/) online enrichment analysis tool.

Results

Based on the GWAS results, 191 SNP-related genes significantly associated with BC recurrence and metastasis were identified as expression quantitivative trait loci (p < 0.001). Functional and pathway enrichment analyses subsequently revealed the potential involvement of glutamatergic synaptic transmission, calcium signaling, and insulin secretion pathways in BC recurrence and metastasis. Based on genotype correlation and database expression levels, rs10108514, rs12920540, rs4273077, and rs4730155 were found to be significantly associated with the risk of BC recurrence and metastasis.

Conclusion

Our study suggests that the SNPs rs10108514, rs12920540, rs4273077, and rs4730155 are correlated with the risk of BC recurrence and metastasis, potentially by being implicated in glutamatergic synaptic transmission, calcium signaling, and insulin secretion pathways.

PARP Pioneers: Using BRCA1/2 Mutation-targeted Inhibition to Revolutionize Breast Cancer Treatment

Breast cancer stands on the second position in the world in being common and women happen to have it with high rate of about five-folds around the world. The causes of occurrence can matter with different humans be it external factors or the internal genetic ones. Breast cancer is primarily driven by mutations in the BRCA1 and BRCA2 susceptibility genes. These BC susceptibility genes encode proteins critical for DNA homologous recombination repair (HRR). Poly (ADP ribose) polymerases (PARP) are the essential enzymes involved in the repairing of the damaged DNA. So the inhibition of these inhibitors can be considered as the promising strategy for targeting cancers with defective damage in the deoxyribonucleic acid. Olaparib and talazoparib are PARP inhibitors (PARPi) are being employed for the monotherapies in case of the deleterious germline HER2-negative and BRCA-mutated breast cancer. The potency of PARP for trapping on DNA and causes cytotoxicity may have difference in the safety and efficacy with the PARPi. The PARPi have been found its place in the all different types of breast cancers and have shown potential benefits. The purpose of this review is to provide an update on the oral poly (ADP-ribose) polymerase (PARP) inhibitors for the improvement in the treatment and management of breast cancer.

Topological embedding and directional feature importance in ensemble classifiers for multi-class classification

Cancer is the second leading cause of disease-related death worldwide, and machine learning-based identification of novel biomarkers is crucial for improving early detection and treatment of various cancers. A key challenge in applying machine learning to high-dimensional data is deriving important features in an interpretable manner to provide meaningful insights into the underlying biological mechanisms We developed a class-based directional feature importance (CLIFI) metric for decision tree methods and demonstrated its use for The Cancer Genome Atlas proteomics data. The CLIFI metric was incorporated into four algorithms, Random Forest (RF), LAtent VAriable Stochastic Ensemble of Trees (LAVASET), and Gradient Boosted Decision Trees (GBDTs), and a new extension incorporating the LAVA step into GBDTs (LAVABOOST). Both LAVA methods incorporate topological information from protein interactions into the decision function. The different models' performance in classifying 28 cancers resulted in F1-scores of 92.6% (RF), 92.0% (LAVASET), 89.3% (LAVABOOST) and 85.7% (GBDT), with no method outperforming all others for individual cancer type prediction. The CLIFI metric enables visualisation of the model's decision-making functions. The resulting CLIFI value distributions indicated heterogeneity in the expression of several proteins (MYH11, ERα, BCL2) across different cancer types (including brain glioma, breast, kidney, thyroid and prostate cancer) aligning with the original raw expression data. In conclusion, we have developed an integrated, directional feature importance metric for multi-class decision tree-based classification models that facilitates interpretable feature importance assessment. The CLIFI metric can be combined with incorporating topological information into the decision functions of models to introduce inductive bias, enhancing interpretability.

Impact of the 21-gene recurrence score testing on chemotherapy selection and clinical outcomes in T3N0 luminal breast cancer

BACKGROUND

The role of 21-gene recurrence score (RS) testing on chemotherapy decision-making and survival outcomes for T3N0 luminal breast cancer (BC) remains unclear. This study aimed to investigate the effect of RS testing in chemotherapy selection and prognosis in these patients.

RESEARCH DESIGN AND METHODS

Patients diagnosed with T3N0 luminal BC were included from the Surveillance, Epidemiology, and End Results Oncotype database. The likelihood of undergoing chemotherapy was analyzed using the chi-square test and binomial logistic regression. Survival analysis used Kaplan-Meier method and multivariate Cox proportional hazards models.

RESULTS

Of the 3186 patients, 852 (26.7%) underwent RS testing. Those who had RS testing demonstrated a lower probability of chemotherapy receipt than those without RS testing (27.0% vs. 47.5%, p < 0.001). Higher RS correlated with increased the probabilities of chemotherapy receipt. The probabilities of chemotherapy for low-risk, intermediate-risk, and high-risk were 9.8%, 26.7%, and 60.6%, respectively (p < 0.001). RS testing independently improved breast cancer-specific survival (p < 0.001) and overall survival (p < 0.001). In the high-risk cohort, chemotherapy administration was associated with improved overall survival than those who did not (p = 0.038).

CONCLUSIONS

Our study highlights the significant role of RS testing in guiding treatment decisions and improving survival outcomes for patients with T3N0 luminal BC.

Effect of resilience on quality of life and anxiety in patients with breast cancer

BACKGROUND

The incidence of breast cancer is high, with serious implications in terms of lives and health. Relevant data show that there are approximately 1 million new cases of breast cancer reported annually, with a rising trend. Some patients have poor treatment effects and are prone to anxiety and other negative emotions, which affect their quality of life (QoL).

AIM

To explore the correlation between mental resilience, QoL, and anxiety in patients with breast cancer.

METHODS

Using convenience sampling, 200 patients with breast cancer were selected from the First Affiliated Hospital of Hebei North University. These patients were investigated using the Conner-Davidson Resilience Scale, Self-Rating Anxiety Scale, and European Organization for Research and Treatment of Cancer Quality of Life Questionnaire to analyze the impact of resilience in patients with breast cancer on their QoL and anxiety.

RESULTS

The mean (SD) mental resilience score of the patients with breast cancer was 59.68 (± 9.84) points, the anxiety score was 49.87 (± 8.26) points, and the QoL score was 59.73 (± 8.29) points. Overall, they showed low mental resilience, mild anxiety, and medium QoL. Anxiety was negatively correlated with mental resilience and QoL (r = -0.275, r = -0.289, P < 0.05). QoL was positively correlated with mental resilience (r = 0.513, P < 0.05). Anxiety was a mediating variable between mental resilience and QoL, accounting for 8.58% of the mediating effect.

CONCLUSION

Regarding psychological elasticity, anxiety plays an intermediary role in QoL among patients with breast cancer. Medical staff can improve patients' mental resilience by reducing their anxiety and improving their QoL.

Glioma-associated oncogene homolog 1 in breast invasive carcinoma: a comprehensive bioinformatic analysis and experimental validation

Background

Breast cancer, despite significant advancements in treatment, remains a major cause of cancer-related deaths among women. Immunotherapy, an emerging therapeutic strategy, offers promise for better outcomes, particularly through the modulation of immune functions. Glioma-Associated Oncogene Homolog 1 (GLI1), a transcription factor implicated in cancer biology, has shown varying roles in different cancers. However, its immunoregulatory functions in breast invasive carcinoma (BRCA) remain elusive. The current study aimed to unravel the expression patterns and immune-regulatory roles of GLI1 in BRCA.

Methods

Utilizing multiple bioinformatic platforms (TIMER2.0, GEPIA2, and R packages) based on The Cancer Genome Atlas (TCGA) and/or Genotype-Tissue Expression (GTEx) databases, we analyzed the expression of GLI1 in BRCA and its pan-cancer expression profiles. We further validated these findings by conducting qPCR and immunohistochemical staining on clinical BRCA samples. Kaplan-Meier analysis and Cox proportional hazards regression were performed to assess the prognostic value of GLI1. Additionally, the association between GLI1 expression and immune infiltration within the tumor immune microenvironment (TMIE) was examined.

Results

The findings reveal dysregulated expression of GLI1 in numerous cancers, with a significant decrease observed in BRCA. High GLI1 expression indicated better survival outcomes and was correlated with the age and stage of BRCA patients. GLI1 was involved in immune status, as evidenced by its strong correlations with immune and stromal scores and the infiltration levels of multiple immune cells. Meanwhile, GLI1 was co-expressed with multiple immune-related genes, and high GLI1 expression was associated with the activation of immune-related pathways, such as binding to proteasome and mismatch repair and retinol metabolism signaling pathways. Additionally, the differential expression of GLI1 may be related to the effect of immunotherapy on CTLA-4, PD-1, and other signals, and can effectively predict the immune efficacy.

Conclusion

Our study underscores the critical role of GLI1 in BRCA, both as a potential tumor suppressor and an immune regulator. The association between GLI1 expression and favorable prognosis suggests its potential as a prognostic biomarker and immunotherapeutic target in BRCA.

Comparative dosimetric study of h-IMRT and VMAT plans for breast cancer after breast-conserving surgery

AIM

To compare the dosimetric advantages and disadvantages between hybrid intensity-modulated radiation therapy (h-IMRT) and the volumetric modulated arc therapy (VMAT) technique in hypofractionated whole-breast irradiation (HF-WBI) for early-stage breast cancer (BC).

METHODS

The dose distribution of h-IMRT and VMAT plans was compared in 20 breast cancer patients. This comparison included evaluation of dosimetric parameters using dose volume histograms (DVHs) for the planning target volume (PTV) and organs-at-risk (OARs). Additionally, the study examined the normal tissue complication probability (NTCP), the second cancer complication probability (SCCP) and the tumor control probability (TCP) based on different models.

RESULTS

Significant differences were detected between the two plans, in terms of Machine units (MUs), the control points, 95 % volume (V95 %), dose homogeneity index (DHI) and conformity index (CI). The endpoint of grade II radiation pneumonitis and cardiac death due to ischemic heart disease were assessed. In h-IMRT plan, the NTCP values were marginally lower for radiation pneumonitis and slightly higher for cardiac death compared to VMAT plan, as determined by the Lyman-Kutcher-Burman model. The Schneider model was employed to predict the SCCP for both the bilateral lungs and contralateral breast, the results demonstrate that the h-IMRT plan outperforms the VMAT plan, with statistical significance. Additionally, the LQ-Poisson model was employed to forecast the TCP of the PTV, showing that the h-IMRT plan outperformed the VMAT plan (P > 0.05).

CONCLUSION

The h-IMRT technique, offering superior dose coverage and better therapeutic efficacy with fewer side effects as calculated by models, is more suitable for HF-WBI compared to the VMAT technique.

Personalized medicine: Clinical oncology on molecular view of treatment

Cancer, the second leading global cause of death, impacts both physically and emotionally. Conventional treatments such as surgeries, chemotherapy, and radiotherapy have adverse effects, driving the need for more precise approaches. Precision medicine enables more targeted treatments. Genetic mapping, alongside other molecular biology approaches, identifies specific genes, contributing to accurate prognoses. The review addresses, in clinical use, a molecular perspective on treatment. Biomarkers like alpha-fetoprotein, beta-human chorionic gonadotropin, 5-hydroxyindoleacetic acid, programmed death-1, and cytotoxic T lymphocyte-associated protein 4 are explored, providing valuable information. Bioinformatics, with an emphasis on artificial intelligence, revolutionizes the analysis of biological data, offering more accurate diagnoses. Techniques like liquid biopsy are emphasized for early detection. Precision medicine guides therapeutic strategies based on the molecular characteristics of the tumor, as evidenced in the molecular subtypes of breast cancer. Classifications allow personalized treatments, highlighting the role of trastuzumab and endocrine therapies. Despite the benefits, challenges persist, including high costs, tumor heterogeneity, and ethical issues. Overcoming obstacles requires collaboration, ensuring that advances in molecular biology translate into accessible benefits for all.

Same-Day Discharge for Immediate Breast Reconstruction: A National Surgical Quality Improvement Program Study

BACKGROUND

Patients undergoing immediate breast reconstruction with tissue expanders are frequently admitted after surgery for monitoring and pain control, which introduces additional costs and risks of nosocomial infection. Same-day discharge could conserve resources, mitigate risk, and return patients home for faster recovery. The authors used large data sets to investigate the safety of same-day discharge after mastectomy with immediate postoperative expander placement.

METHODS

A retrospective review was performed of patients in the National Surgical Quality Improvement Program database who underwent breast reconstruction using tissue expanders between 2005 and 2019. Patients were grouped based on date of discharge. Demographic information, medical comorbidities, and outcomes were recorded. Statistical analysis was performed to determine efficacy of same-day discharge and identify factors that predict safety.

RESULTS

Of the 14,387 included patients, 10% were discharged the same day, 70% on postoperative day 1, and 20% later than postoperative day 1. The most common complications were infection, reoperation, and readmission, which trended upward with length of stay (6.4% versus 9.3% versus 16.8%), but were statistically equivalent between same-day and next-day discharge. The complication rate for later-day discharge was statistically higher. Patients discharged later had significantly more comorbidities than same or next-day discharge counterparts. Predictors of complications included hypertension, smoking, diabetes, and obesity.

CONCLUSIONS

Patients undergoing mastectomy with immediate tissue expander reconstruction are usually admitted overnight. However, same-day discharge was demonstrated to have an equivalent risk of perioperative complications as next-day discharge. For the otherwise healthy patient, going home the day of surgery is a safe and cost-effective option, although the decision should be made based on the individual patient.

CLINICAL QUESTION/LEVEL OF EVIDENCE

Therapeutic, III.

Evaluating the Quality of Online Patient Information for Prepectoral Breast Reconstruction Using Polyurethane-Coated Breast Implants

Background

An increasing number of patients are using online information regarding medical issues; however, the Internet is not subject to content ratings or filters. Unreliable information found on the web can heavily influence patients to the extent that it can lead to wrong decisions in the choice of treatment. In our daily experience we meet more informed patients and given the increasing use of polyurethane-coated implants in breast reconstruction in Europe, we wondered about the level of information available online. Our study aims to assess the quality of information available online on breast reconstruction with polyurethane-coated implants.

Materials and Methods

Assuming that the most used search engines are Google and Yahoo, we used a search strategy to identify online information regarding prepectoral breast reconstruction with polyurethane-coated implants. The selected websites were divided into 5 groups (practitioners, hospitals, healthcare portals, professional societies, and encyclopedias), and the quality of information was assessed by using an expanded version of the Ensuring Quality Information for Patients (EQIP) tool, which is a checklist applicable to all existing types of information.

Results

Fifty-six websites were selected and were categorized into 5 groups: 17 practitioners, 9 hospitals, 13 healthcare portals, 7 professional societies, 10 encyclopedias. The average score was 17 points (range: 12 - 25). We found 13 reliable websites with a score higher than 20 using the expanded version of the EQIP tool, whereas 43 were deemed unreliable, as they scored lower.

Conclusion

Proper communication between surgeon and patient is crucial in the therapeutic choice, as the available online information presently is scarce and can lead to wrong decisions if not properly verified.

Gynecologic and Breast Cancers: What's New in Chemoresistance and Chemosensitivity Tests?

Gynecological and breast cancers affect women's health worldwide. Although chemotherapy is one of the principal treatments for cancer, it also has limitations owing to toxicity and tumor resistance to the drugs used. Thus, individualized treatment based on personal tumor characteristics is essential for improving therapeutic outcomes and patient survival. Chemoresistance and chemosensitivity tests can be useful for predicting tumor response and guiding chemotherapy choices. This methodology has already been applied to breast, ovarian, cervical, and endometrial cancers, identifying successfully which drugs cause resistance and sensitivity responses for each individual person, influencing their progression-free survival and overall response. In addition, more recent techniques, such as organoids and patient-derived xenografts, can also recapitulate patients' tumor characteristics and contribute to chemo response evaluation. Therefore, this review compiles information on chemoresistance and chemosensitivity tests performed in gynecologic and breast cancers and their main results for women's health improvement.

Persistence with tamoxifen and aromatase inhibitors in Germany: a retrospective cohort study with 284,383 patients

PURPOSE

The aim of this study was to analyze the persistence of women on tamoxifen (TAM) and aromatase inhibitors (AIs) in Germany, and to investigate possible determinants of non-persistence.

METHODS

The present retrospective cohort study was based on the IQVIA longitudinal prescription database (LRx). The study included women with an initial prescription of TAM or AIs (anastrozole, letrozole, and exemestane) between January 2016 and December 2020 (index date). Kaplan-Meier analyses were performed to show the persistence for TAM and AI, using a therapy gap of 90 or 180 days, respectively. A multivariable Cox proportional hazards regression model was further used to estimate the relationship between non-persistence and drug prescription (AI versus TAM), age, and the specialty of the physician initiating therapy (gynecologist, oncologist, or general practitioner).

RESULTS

Up to 5 years after the index date, only 35.1% of AI and 32.5% of TAM patients were continuing therapy when therapy discontinuation was defined as at least 90 days without therapy. Using a 180-day therapy gap, 51.9% of AI and 50.4% of TAM patients remained on therapy after 5 years. Cox regression models reveal that initial therapy with TAM (HR 1.06, 95% CI 1.04-1.07), therapy initiation by oncologists (HR 1.09, 95% CI 1.07-1.11), or general practitioners (HR 1.24, 95% CI 1.21-1.27) and age ≤ 50 (HR 1.08, 95% CI 1.06-1.10) were significantly associated with an increased risk of therapy discontinuation.

CONCLUSION

Overall, the present study indicates that persistence rates are low in all age groups for both TAM and AI treatment. We found several factors (e.g., physician specialty, younger age, and type of endocrine therapy) to be associated with an increased risk for non-persistence.

An inflammatory-related genes signature based model for prognosis prediction in breast cancer

Background

Breast cancer has become the most common malignant tumor in the world. It is vital to discover novel prognostic biomarkers despite the fact that the majority of breast cancer patients have a good prognosis because of the high heterogeneity of breast cancer, which causes the disparity in prognosis. Recently, inflammatory-related genes have been proven to play an important role in the development and progression of breast cancer, so we set out to investigate the predictive usefulness of inflammatory-related genes in breast malignancies.

Methods

We assessed the connection between Inflammatory-Related Genes (IRGs) and breast cancer by studying the TCGA database. Following differential and univariate Cox regression analysis, prognosis-related differentially expressed inflammatory genes were estimated. The prognostic model was constructed through the Least Absolute Shrinkage and Selector Operation (LASSO) regression based on the IRGs. The accuracy of the prognostic model was then evaluated using the Kaplan-Meier and Receiver Operating Characteristic (ROC) curves. The nomogram model was established to predict the survival rate of breast cancer patients clinically. Based on the prognostic expression, we also looked at immune cell infiltration and the function of immune-related pathways. The CellMiner database was used to research drug sensitivity.

Results

In this study, 7 IRGs were selected to construct a prognostic risk model. Further research revealed a negative relationship between the risk score and the prognosis of breast cancer patients. The ROC curve proved the accuracy of the prognostic model, and the nomogram accurately predicted survival rate. The scores of tumor-infiltrating immune cells and immune-related pathways were utilized to calculate the differences between the low- and high-risk groups, and then explored the relationship between drug susceptibility and the genes that were included in the model.

Conclusion

These findings contributed to a better understanding of the function of inflammatory-related genes in breast cancer, and the prognostic risk model provides a potentially promising prognostic strategy for breast cancer.

Breast cancer prognosis and immunological characteristics are predicted using the m6A/m5C/m1A/m7G-related long noncoding RNA signature

According to statistics, breast cancer (BC) has replaced lung cancer as the most common cancer in the world. Therefore, specific detection markers and therapeutic targets need to be explored as a way to improve the survival rate of BC patients. We first identified m6A/m5C/m1A/m7G-related long noncoding RNAs (MRlncRNAs) and developed a model of 16 MRlncRNAs. Kaplan-Meier survival analysis was applied to assess the prognostic power of the model, while univariate Cox analysis and multivariate Cox analysis were used to assess the prognostic value of the constructed model. Then, we constructed a nomogram to illustrate whether the predicted results were in good agreement with the actual outcomes. We tried to use the model to distinguish the difference in sensitivity to immunotherapy between the two groups and performed some analyses such as immune infiltration analysis, ssGSEA and IC50 prediction. To explore the novel anti-tumor drug response, we reclassified the patients into two clusters. Next, we assessed their response to clinical treatment by the R package pRRophetic, which is determined by the IC50 of each BC patient. We finally identified 11 MRlncRNAs and based on them, a risk model was constructed. In this model, we found good agreement between calibration plots and prognosis prediction. The AUC of ROC curves was 0.751, 0.734, and 0.769 for 1-year, 2-year, and 3-year overall survival (OS), respectively. The results showed that the IC50 was significantly different between the risk groups, suggesting that the risk groups can be used as a guide for systemic treatment. We regrouped patients into two clusters based on 11 MRlncRNAs expression. Next, we conducted immune scores for 2 clusters, which showed that cluster 1 had higher stromal scores, immune scores and higher estimated (microenvironment) scores, demonstrating that TME of cluster 1 was different from cluster 2. The results of this study support that MRlncRNAs can predict tumor prognosis and help differentiate patients with different sensitivities to immunotherapy as a basis for individualized treatment for BC patients.

Development and validation of a nomogram to predict Chinese breast cancer risk based on clinical serum biomarkers

Background: This study investigated and compared clinical serum biomarkers and developed a diagnostic nomogram for breast cancer. Methods: A total of 1224 breast cancer and 1280 healthy controls were enrolled. Univariate and multivariate analyses were performed to identify factors and a nomogram was developed. Discrimination, accuracy and clinical utility values were evaluated by receiver operating characteristic, Hosmer-Lemeshow, calibration plots, decision curve analysis and clinical impact plots. Results: carcinoembryonic antigen, CA125, CA153, lymphocyte-to-monocyte ratio, platelet-to-lymphocyte ratio, fibrinogen and platelet distributing width were effectively identified to predict breast cancer. The nomogram showed the area under the curve of 0.708 and 0.710 in the training and validation set. Calibration plots, Hosmer-Lemeshow, decision curve analysis and clinical impact plots confirmed great accuracy and clinical utility. Conclusion: We developed and validated a nomogram that is effectively used for risk prediction of Chinese breast cancer.

Expression of CD22 in Triple-Negative Breast Cancer: A Novel Prognostic Biomarker and Potential Target for CAR Therapy

Triple-negative breast cancer (TNBC) accounts for 15-20% of all breast cancer cases. Due to the lack of expression of well-known molecular targets [estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2)], there is a need for more alternative treatment approaches in TNBC. Chimeric antigen receptor (CAR)-T cell-based immunotherapy treatment is one of the latest treatment technologies with outstanding therapeutic advances in the past decade, especially in the treatment of hematologic malignancies, but the therapeutic effects of CAR-T cells against solid tumors have not yet shown significant clinical benefits. Identification of highly specific CAR-T targets in solid tumors is also crucial for its successful treatment. CD22 is reported to be a multifunctional receptor that is mainly expressed on the surface of mature B-cells (lymphocytes) and is also highly expressed in most B-cell malignancies. This study aimed to investigate the expression of CD22 in TNBC. Bioinformatic analysis was performed to evaluate the expression of CD22 in breast carcinoma and normal tissues. RNA-seq data of normal and breast carcinoma patients were downloaded from The Cancer Genome Atlas (TCGA), and differential gene expression was performed using R language. Additionally, online bioinformatics web tools (GEPIA and TNM plot) were used to evaluate the expression of CD22 in breast carcinoma and normal tissues. Western blot (WB) analysis and immunofluorescence (IF) were performed to characterize the expression of CD22 in TNBC cell lines. Immunohistochemical (IHC) staining was performed on tumor specimens from 97 TNBC patients for CD22 expression. Moreover, statistical analysis was performed to analyze the association of clinical pathological parameters with CD22 expression. Correlation analysis between overall survival data of TNBC patients and CD22 expression was also performed. Differential gene expression analysis of TCGA data revealed that CD22 is among the upregulated differentially expressed genes (DEGs) with high expression in breast cancer, as compared to normal breast tissues. WB and IF analysis revealed high expression of CD22 in TNBC cell lines. IHC results also showed that approximately 62.89% (61/97) of TNBC specimens were stained positive for CD22. Cell membrane expression of CD22 was evident in 23.71% (23/97) of TNBC specimens, and 39.18% (38/97) of TNBC specimens showed cytoplasmic/membrane expression, while 37.11% (36/97) specimens were negative for CD22. Furthermore, significant associations were found between the size of tumors in TNBC patients and CD22 expression, which unveils its potential as a prognostic biomarker. No significant correlation was found between the overall survival of TNBC patients and CD22 expression. In conclusion, we demonstrated for the first time that CD22 is highly expressed in TNBC. Based on our findings, we anticipated that CD22 could be used as a prognostic biomarker in TNBC, and it might be a potential CAR-T target in TNBC for whom few therapeutic options exist. However, more large-scale studies and clinical trials will ensure its potential usefulness as a CAR-T target in TNBC.

[Associating prognostic factors with clinical results in locally advanced breast cancer]

Background

Breast cancer is the most frequent malignant tumor in women.

Objective

To identify clinico-pathological and molecular markers as predictors of survival in patients with locally advanced breast cancer (LABC).

Methods

Retrospective and observational study. The clinical factors of clinico-pathological and molecular predictors in relation with overall survival (OS) were assessed by the survival function, baseline hazard with smoothing and Cox regression.

Results

126 patients were assessed. OS at five years was significantly superior in patients with clinical stage IIIA (87%; p < 0.001), grade 2 tumor (81%; p < 0.001), pathological node stage (ypN0: 90%; p < .001), low-risk Nottingham prognostic index (86%; p < 0.001) and luminal A subtype (88%; p = 0.022). Baseline hazard with smoothing exhibited an increase in the mortality rate at 50 months for the luminal B/ HER2+ subtype compared with other subtypes. The multivariate analysis ascertained that the stage ypN2-3 (hazard ratio [HR] = 7.3; 95% confidence interval [95% CI]: 2.2 to 23.9) and the HER2+ nonluminal (HR = 7.8; 95% CI: 2 to 29.6) and triple negative (HR = 5.4; 95% CI: 1.7 to 17.2) subtypes were associated with a poor OS.

Conclusions

The comprehensive evaluation of the molecular marker and clinico-pathological factors provides more accurate predictive and prognostic information. The nodal stage and molecular subtype are suitable clinical parameters on survival for LABC patients.

Ten-Year Probabilities of Death Due to Cancer and Cardiovascular Disease among Breast Cancer Patients Diagnosed in North-Eastern Spain

Mortality from cardiovascular disease (CVD), second tumours, and other causes is of clinical interest in the long-term follow-up of breast cancer (BC) patients. Using a cohort of BC patients (N = 6758) from the cancer registries of Girona and Tarragona (north-eastern Spain), we studied the 10-year probabilities of death due to BC, other cancers, and CVD according to stage at diagnosis and hormone receptor (HR) status. Among the non-BC causes of death (N = 720), CVD (N = 218) surpassed other cancers (N = 196). The BC cohort presented a significantly higher risk of death due to endometrial and ovarian cancers than the general population. In Stage I, HR- patients showed a 1.72-fold higher probability of all-cause death and a 6.11-fold higher probability of breast cancer death than HR+ patients. In Stages II-III, the probability of CVD death (range 3.11% to 3.86%) surpassed that of other cancers (range 0.54% to 3.11%). In Stage IV patients, the probability of death from any cancer drove the mortality risk. Promoting screening and preventive measures in BC patients are warranted, since long-term control should encompass early detection of second neoplasms, ruling out the possibility of late recurrence. In patients diagnosed in Stages II-III at an older age, surveillance for preventing late cardiotoxicity is crucial.

MIR4435-2HG: A newly proposed lncRNA in human cancer

Long non-coding RNAs (lncRNAs) play important roles in the occurrence and progression of tumors. Extensive research has contributed to the current understanding of the critical roles played by lncRNAs in various cancers. LncRNA MIR4435-2HG has been found to be crucial in many cancers, such as breast, cervical, colorectal, and gastric cancer. Expression of MIR4435-2HG is generally upregulated in cancers and MIR4435-2HG participates in many biological functions through molecular mechanism of competitive endogenous RNA networks. This review profiles recent research findings on the expression, functions, mechanism, and clinical value of MIR4435-2HG in cancer, and serves as a reference for further MIR4435-2HG-related research and clinical trials.

Using population-based data to evaluate the impact of adherence to endocrine therapy on survival in breast cancer through the web-application BreCanSurvPred

We show how the use and interpretation of population-based cancer survival indicators can help oncologists talk with breast cancer (BC) patients about the relationship between their prognosis and their adherence to endocrine therapy (ET). The study population comprised a population-based cohort of estrogen receptor positive BC patients (N = 1268) diagnosed in Girona and Tarragona (Northeastern Spain) and classified according to HER2 status (+ / −), stage at diagnosis (I/II/III) and five-year cumulative adherence rate (adherent > 80%; non-adherent ≤ 80%). Cox regression analysis was performed to identify significant prognostic factors for overall survival, whereas relative survival (RS) was used to estimate the crude probability of death due to BC (P_BC). Stage and adherence to ET were the significant factors for predicting all-cause mortality. Compared to stage I, risk of death increased in stage II (hazard ratio [HR] 2.24, 95% confidence interval [CI]: 1.51–3.30) and stage III (HR 5.11, 95% CI 3.46–7.51), and it decreased with adherence to ET (HR 0.57, 95% CI 0.41–0.59). P_BC differences were higher in non-adherent patients compared to adherent ones and increased across stages: stage I: 6.61% (95% CI 0.05–13.20); stage II: 9.77% (95% CI 0.59–19.01), and stage III: 22.31% (95% CI 6.34–38.45). The age-adjusted survival curves derived from this modeling were implemented in the web application BreCanSurvPred (https://pdocomputation.snpstats.net/BreCanSurvPred). Web applications like BreCanSurvPred can help oncologists discuss the consequences of non-adherence to prescribed ET with patients.

Construction and Validation of Angiogenesis-Related Prognostic Risk Signature to Facilitate Survival Prediction and Biomarker Excavation of Breast Cancer Patients

This study is aimed at exploring the potential mechanism of angiogenesis, a biological process-related gene in breast cancer (BRCA), and constructing a risk model related to the prognosis of BRCA patients. We used multiple bioinformatics databases and multiple bioinformatics analysis methods to complete our exploration in this research. First, we use the RNA-seq transcriptome data in the TCGA database to conduct a preliminary screening of angiogenesis-related genes through univariate Cox curve analysis and then use LASSO regression curve analysis for secondary screening. We successfully established a risk model consisting of seven angiogenesis-related genes in BRCA. The results of ROC curve analysis show that the risk model has good prediction accuracy. We can successfully divide BRCA patients into the high-risk and low-risk groups with significant prognostic differences based on this risk model. In addition, we used angiogenesis-related genes to perform cluster analysis in BRCA patients and successfully divided BRCA patients into three clusters with significant prognostic differences, namely, cluster 1, cluster 2, and cluster 3. Subsequently, we combined the clinical-pathological data for correlation analysis, and there is a significant correlation between the risk model and the patient's T and stage. Multivariate Cox regression curve analysis showed that the age of BRCA patients and the risk score of the risk model could be used as independent risk factors in the progression of BRCA. In particular, based on this angiogenesis-related risk model, we have drawn a matching nomogram that can predict the 5-, 7-, and 10-year overall survival rates of BRCA patients. Subsequently, we performed a series of pan-cancer analyses of CNV, SNV, OS, methylation, and immune infiltration for this risk model gene and used GDSC data to explore drug sensitivity. Subsequently, to gain insight into the protein expression of these risk model genes in BRCA, we used the immunohistochemical data in the THPA database for verification. The results showed that the protein expressions of IL18, RUNX1, SCG2, and THY1 molecules in BRCA tissues were significantly higher than those in normal breast tissues, while the protein expressions of PF4 and TNFSF12 molecules in BRCA tissues were significantly lower than those in normal breast tissues. Finally, we conducted multiple GSEA analyses to explore the biological pathways these risk model genes can cross in cancer progression. In summary, we believe that this study can provide valuable data and clues for future studies on angiogenesis in BRCA.

Impact of Ultrasound-Guided Deep Serratus Anterior Plane Block Combined With Dexmedetomidine as an Adjuvant to Ropivacaine Inpatient Quality of Recovery Scores Undergoing Modified Radical Mastectomy: A Randomized Controlled Trial

Background

Breast cancer has overtaken lung cancer as the most commonly diagnosed malignancy and is the leading cause of cancer-related death in women. Surgery is the only possible cure for breast cancer, and the incidence of acute postoperative pain (APP) is high in breast surgery. Previous reports suggested that ultrasound-guided deep serratus anterior plane block (dSAPB) provided effective blockade to relieve pain after modified radical mastectomy for breast cancer. In fact, despite the long-acting local anesthetic agents used, the patient’s pain cannot completely be eliminated due to the short duration of anesthesia. Dexmedetomidine as an adjunct to local anesthetics can prolong peripheral nerve block duration. However, no study has investigated the role of dSAPB with dexmedetomidine in the quality of recovery scores undergoing modified radical mastectomy. Thus, this study was conducted aiming at this aspect.

Material and Methods

This single-center, double-blind, randomized clinical trial was conducted at Bethune International Peace Hospital. A total of 88 participants of elective modified radical mastectomy were enrolled from May and November 2021. Ultrasound-guided dSAPB combined with 30 ml of 0.375% ropivacaine or 30 ml of 0.375% ropivacaine with dexmedetomidine (1 μg/kg) was administrated before anesthesia at the fourth to fifth ribs of the axillary midline. The primary outcome was quality of recovery, measured 24 h postoperatively using the QoR-15. Secondary outcomes were the Visual Analogue Scale (VAS) scores at rest and movement at 1, 6, 12, 24, and 48 h after surgery, 48 h sufentanil consumption postoperatively, the incidence of postoperative nausea and vomiting (PONV), length of post-anesthesia care unit (PACU) stay, dizziness, delirium, SAPB-related adverse events, and patient’s satisfaction with pain management.

Results

Among the 88 participants, 8 did not meet the inclusion criteria; the other 80 were randomized to receive dSAPB combined with ropivacaine (Group R, N=40) and dSAPB combined with ropivacaine plus DEX (Group RD, N=40), of which a total of 7 (4 in Group R and 3 in Group RD) were excluded due to protocol deviation. Eventually,73 participants (36 in Group R and 37 in Group RD) were included for final analysis, with age (SD, years, 54.08[6.28] vs. 54.62[7.44], p=0.740), body mass index (BMI) (SD, 27.96[1.67] vs. 27.57[2.38], p=0.428), and median preoperative global QoR-15 score (interquartile range (IQR), 127[123.25–131] vs. 126[121–130], p=0.662). The median postoperative global QoR-15 score (IQR, 107[103–112] vs. 109.5[107–114], p=0.016), VAS score at rest at 12th hour (IQR, 1[1–2] vs. 1[1–2], p=0.033), VAS score in movement at 12th hour (IQR, 2[1–3] vs. 2[1–3], p=0.014) and at 24th hour (IQR, 3[2–3] vs. 3[2–3], p=0.040), and median sufentanil rescues consumption (IQR, 14[12–17 vs. 14[12–15], p=0.022] of Group RD were significantly lower than those of the Group R. Patient satisfaction score (SD, 8.28[0.70] vs. 8.62[0.59], p=0.024) of Group RD were significantly higher than those of the Group R.

Conclusion

The ultrasound-guided dSAPB combined with dexmedetomidine plus ropivacaine may improve the QoR-15 in patients undergoing modified radical mastectomy and indicates that it may be a useful intervention to aid recovery following breast cancer surgery. Furthermore, participants in the ropivacaine with DEX group met the superior pain relief in the early postoperative period, reduced postoperative cumulative opioid consumption, increased patient satisfaction, and no increase in the incidence of complications.

DDX3X functionally and physically interacts with Estrogen Receptor-alpha

DEAD-box protein 3X (DDX3X) is a human DEAD-box protein with conventional roles in RNA metabolism and unconventional functions in signalling pathways that do not require its enzymatic activity. For example, DDX3X acts as a multifunctional adaptor molecule in anti-viral innate immune signalling pathways, where it interacts with and regulates the kinase IKB-kinase-epsilon (IIKKε). Interestingly, both DDX3X and IKKɛ have also independently been shown to act as breast cancer oncogenes. IKKɛ's oncogenic functions are likely multifactorial, but it was suggested to phosphorylate the transcription factor Estrogen receptor alpha (ERα) at Serine 167, which drives expression of Erα target genes in an estrogen-independent manner. In this study, we identified a novel physical interaction between DDX3X and ERα that positively regulates ERα activation. DDX3X knockdown in ER+ breast cancer cell lines resulted in reduced ERα phosphorylation, reduced Estrogen Response Element (ERE)-controlled reporter gene expression, decreased expression of ERα target genes, and decreased cell proliferation. Vice versa, overexpression of DDX3X resulted in enhanced ERα phosphorylation and activity. Furthermore, we provide evidence that DDX3X physically binds to ERα from co-immunoprecipitation and pulldown experiments. Based on our data, we propose that DDX3X acts as an adaptor to facilitate IKKε-mediated ERα activation, akin to the mechanism we previously elucidated for IKKε-mediated Interferon Regulatory factor 3 (IRF3) activation in innate immune signalling. In conclusion, our research provides a novel molecular mechanism that might contribute to the oncogenic effect of DDX3X in breast cancer, potentially linking it to the development of resistance against endocrine therapy.

Circ_0069718 promotes the progression of breast cancer by up-regulating NFIB through sequestering miR-590-5p

Researches indicate that circular RNAs are dysregulated in breast cancer (BC) and play a critical role in regulating the malignant phenotype of cancer cells. Herein, the goal of this work was to investigate the role and mechanism of circ_0069718 in BC development. Levels of genes and proteins were detected by quantitative real-time polymerase chain reaction and western blot. In vitro experiments were performed using cell counting kit-8 assay, colony formation assay, EdU (5-ethynyl-2'-deoxyuridine) assay, flow cytometry, western blot, and transwell assay, respectively. The dual-luciferase reporter and RNA immunoprecipitation assays were used to identify the target relationship between miR-590-5p and circ_0069718 or nuclear factor I/B (NFIB). In vivo experiments were conducted using Xenograft model in mice. Circ_0069718 was up-regulated in BC tissues and cells. Knockdown of circ_0069718 suppressed BC cell apoptosis, migration, and invasion in vitro effectively. Mechanistically, circ_0069718 directly targeted miR-590-5p to up-regulate its target NFIB. Rescue experiments showed that miR-590-5p inhibition reversed the inhibitory effects of circ_0069718 knockdown on BC cell-aggressive oncogenic phenotypes; moreover, miR-590-5p re-expression restrained BC cell proliferation and mobility, which were abolished by NFIB up-regulation. Besides that, circ_0069718 silencing hindered tumor growth via miR-590-5p/NFIB axis in vivo. Circ_0069718 promotes BC progression by up-regulating NFIB through sequestering miR-590-5p, suggesting a potential therapeutic strategy in BC.

Effects of Inositol Hexaphosphate and Myo-Inositol Administration in Breast Cancer Patients during Adjuvant Chemotherapy

Background: Treatment of breast cancer (BC) includes locoregional and systemic therapies depending on tumor and patient’s characteristics. Inositol hexaphosphate (IP6) is known as a strong antioxidant agent, able to improve local (i.e., breast region) side effects, functional status and quality-of-life. We investigated some potential beneficial effects, including hematological and local, of the combined therapy with oral myo-inositol administration and topical IP6 application in patients undergoing surgery for BC and eligible to adjuvant chemotherapy. Methods: We considered BC patients randomly assigned to the Inositol Group (oral myo-inositol + IP6 local application for the entire neoadjuvant treatment period) and to the Control Group (standard of care). The EORTC QLQ-BR23 and QLQ-C30 questionnaires were administered to both groups and blood parameters were assessed as per clinical routine practice at baseline (before starting adjuvant chemotherapy), T1 (after the first two doses of epirubicin-cyclophosphamide regimen), T2 (at the end of epirubicin-cyclophosphamide regimen), T3 (after the first six doses of paclitaxel regimen), and T4 (at the end of the paclitaxel treatment). Results: A total of 36 BC patients were considered, 18 in the Inositol Group and 18 in the Control Group. The Inositol Group showed a lower decrease in red blood cells, hemoglobin levels and white blood cells with respect to controls (p ≤ 0.02), as well as amelioration in scores related to breast and arm local symptoms (p ≤ 0.02), body image (p = 0.04) and quality-of-life related symptoms (p ≤ 0.04). Conclusions: In our cohort of BC patients, a combined treatment with oral myo-inositol + IP6 local application was able to improve local symptoms and quality-of-life related symptoms which represent clinically relevant aspects associated with patient’s prognosis.

Targeted polymeric nanoparticles for drug delivery to hypoxic, triple-negative breast tumors

High recurrence and metastasis to vital organs are the major characteristics of triple-negative breast cancer (TNBC). Low vascular oxygen tension promotes resistance to chemo- and radiation therapy. Neuropilin-1 (NRP-1) receptor is highly expressed on TNBC cells. The tumor-penetrating iRGD peptide interacts with the NRP-1 receptor, triggers endocytosis and transcytosis, and facilitates penetration. Herein, we synthesized a hypoxia-responsive diblock PLA-diazobenzene-PEG copolymer and prepared self-assembled hypoxia-responsive polymersomes (Ps) in an aqueous buffer. The iRGD peptide was incorporated into the polymersome structure to make hypoxia-responsive iRGD-conjugated polymersomes (iPs). Doxorubicin (DOX) was encapsulated in the polymersomes to prepare both targeted and non-targeted hypoxia-responsive polymersomes (DOX-iPs and DOX-Ps, respectively). The polymeric nanoparticles released less than 30% of their encapsulated DOX within 12 hours under normoxic conditions (21% oxygen), whereas under hypoxia (2% Oxygen), doxorubicin release remarkably increased to over 95%. The targeted polymersomes significantly decreased TNBC cells' viability in monolayer and spheroid cultures under hypoxia compared to normoxia. Animal studies displayed that targeted polymersomes significantly diminished tumor growth in xenograft nude mice. Overall, the targeted polymersomes exhibited potent anti-tumor activity in monolayer, spheroid, and animal models of TNBC. With further developments, the targeted nanocarriers discussed here might have the translational potential as drug carriers for the treatment of TNBC.

Locoregional Surgery in Metastatic Breast Cancer: Do Concomitant Metabolic Aspects Have a Role on the Management and Prognosis in this Setting?

Although they cannot be considered curative, the new therapeutic integrated advances in metastatic breast cancer (MBC) have substantially improved patient outcomes. Traditionally, surgery was confined to palliation of symptomatic or ulcerating lumps. Data suggest, in some cases, a possible additive role for more aggressive locoregional surgical therapy in combination with systemic treatments in the metastatic setting, although a low level of evidence has been shown in terms of improvement in overall survival in MBC patients treated with surgery and medical treatment compared to medical treatment alone. In this light, tumor heterogeneity remains a challenge. To effectively reshape the therapeutic approach to MBC, careful consideration of who is a good candidate for locoregional resection is paramount. The patient’s global health condition, impacting on cancer progression and morbidity and their associated molecular targets, have to be considered in treatment decision-making. In particular, more recently, research has been focused on the role of metabolic derangements, including the presence of metabolic syndrome, which represent well-known conditions related to breast cancer recurrence and distant metastasis and are, therefore, involved in the prognosis. In the present article, we focus on locoregional surgical strategies in MBC and whether concomitant metabolic derangements may have a role in prognosis.