Systematic analysis of PANoptosis-related genes identifies XIAP as a functional oncogene in breast cancer

BACKGROUND

Breast cancer (BC) is the most prevalent malignant disease affecting women globally. PANoptosis, a novel form of cell death combining features of pyroptosis, apoptosis, and necroptosis, has recently gained attention. However, its precise function in BC and the predictive values of PANoptosis-related genes remain unclear.

METHODS

We used the expression data and clinical information of BC tissues or normal breast tissues from public databases, and then successfully developed and verified a BC PANoptosis-related risk model through a combination of univariate Cox regression, least absolute shrinkage and selection operator (LASSO) regression, and Kaplan-Meier (KM) analysis. A nomogram was constructed to estimate survival probability, and its accuracy was assessed using calibration curves.

RESULTS

Among 37 PANoptosis-related genes, we identified 4 differentially expressed genes related to overall survival (OS). Next, a risk model incorporating these four PANoptosis-related genes was established. Patients were stratified into low/high-risk groups based on the median risk score, with the low-risk group showing better prognoses and higher levels of immune infiltration. Utilizing the risk score and clinical features, we developed a nomogram to predict 1-, 3- and 5-year survival probability. X-linked inhibitor of apoptosis protein (XIAP) emerged as a potentially risky factor with the highest hazard ratio. In vitro experiments demonstrated that XIAP inhibition enhances the antitumor effect of doxorubicin through the PANoptosis pathway.

CONCLUSION

PANoptosis holds an important role in BC prognosis and treatment.

Expert consensus on the clinical application of immunotherapy in breast cancer: 2024

Background

Significant progress has been made in immunotherapy of breast cancer (BC) with the approval of multiple immune checkpoint inhibitors (ICIs), particularly in early and metastatic triple-negative breast cancer (TNBC) settings. Most guidelines have recommended immune therapy as the important approach in BC, yet several critical aspects still require further clarification, including proper patient selection, treatment duration, optimized chemotherapy partner, predictive biomarkers, and specific considerations for Chinese patients.

Methods

(I) Establishment of expert group: the expert group consists of 32 experts from departments such as medical oncology, breast surgery, and pathology; (II) literature search: mainly conducted in English databases (such as PubMed, Embase, and Cochrane Library) and Chinese databases (such as China National Knowledge Infrastructure, China Biology Medicine disc, and Wanfang Database), with a search cutoff date of April 23, 2024; (III) assessment of evidence quality and recommendation strength: evidence quality and recommendation opinions are graded based on the evidence category and recommendation level of the Chinese Society of Clinical Oncology (CSCO) guidelines; (IV) consensus formulation: on the March 2, 2024, through online consensus meeting, the consensus content is thoroughly discussed, and opinions from all experts are solicited.

Results

The consensus meeting has resulted in 15 detailed recommendations, providing clearer guidance on the clinical application of immunotherapy in BC management. The core suggestions are as follows: for early-stage II-III TNBC and metastatic TNBC (mTNBC) in the first-line setting, programmed cell death protein 1 (PD-1) inhibitors can be considered. However, for hormone receptor-positive/human epidermal growth factor receptor 2-negative BC (HR+/HER2- BC), HER2+ BC, and mTNBC in later lines of therapy, evidence is lacking to support the use of immunotherapy.

Conclusions

This consensus provides a comprehensive overview of BC immunotherapy, including immunotherapy for early-stage BC and late-stage BC, immune related adverse event (irAE) management, biomarkers of immunotherapy, and future directions. The consensus consolidates these deliberations into 15 evidence-based recommendations, serving as a practical guide for clinicians to more scientifically and systematically manage the clinical application of immunotherapy.

Circulating tumor cells et al.: towards a comprehensive liquid biopsy approach in breast cancer

Liquid biopsy has emerged as a crucial tool in managing breast cancer (BC) patients, offering a minimally invasive approach to detect circulating tumor biomarkers. Until recently, the majority of the studies in BC focused on evaluating a single liquid biopsy analyte, primarily circulating tumor DNA and circulating tumor cells (CTCs). Despite the proven prognostic and predictive value of CTCs, their low abundance when detected using enrichment methods, especially in the early stages, poses a significant challenge. It is becoming evident that combining diverse circulating biomarkers, each representing different facets of tumor biology, has the potential to enhance the management of patients with BC. This article emphasizes the importance of considering these biomarkers as complementary/synergistic rather than competitive, recognizing their ability to contribute to a comprehensive disease profile. The review provides an overview of the clinical significance of simultaneously analyzing CTCs and other biomarkers, including cell-free circulating DNA, extracellular vesicles, non-canonical CTCs, cell-free RNAs, and non-malignant cells. Such a comprehensive liquid biopsy approach holds promise not only in BC but also in other cancer types, offering opportunities for early detection, prognostication, and therapy monitoring. However, addressing associated challenges, such as refining detection methods and establishing standardized protocols, is crucial for realizing the full potential of liquid biopsy in transforming our understanding and approach to BC. As the field evolves, collaborative efforts will be instrumental in unlocking the revolutionary impact of liquid biopsy in BC research and management.

Potential role of Fbxo22 in resistance to endocrine therapy in breast cancer with invasive lobular carcinoma

BACKGROUND

Invasive lobular carcinoma (ILC) is distinct from invasive ductal carcinoma (IDC) in terms of their hormonal microenvironments that may require different therapeutic strategies. We previously reported that selective estrogen receptor modulator (SERM) function requires F-box protein 22 (Fbxo22). Here, we investigated the role of Fbxo22 as a potential biomarker contributing to the resistance to endocrine therapy in ILC.

METHODS

A total of 302 breast cancer (BC) patients including 150 ILC were recruited in the study. Fbxo22 expression and clinical information were analyzed to elucidate whether Fbxo22 negativity could be a prognostic factor or there were any correlations among clinical variables and SERM efficacy.

RESULTS

Fbxo22 negativity was significantly higher in ILC compared with IDC (58.0% vs. 27.0%, P < 0.001) and higher in postmenopausal patients than premenopausal patients (64.1% vs. 48.2%, P = 0.041). In the ILC cohort, Fbxo22-negative patients had poorer overall survival (OS) than Fbxo22-positive patients, with 10-year OS rates of 77.4% vs. 93.6% (P = 0.055). All patients treated with SERMs, Fbxo22 negativity resulted in a poorer outcome, with 10-year OS rates of 81.3% vs. 92.3% (P = 0.032). In multivariate analysis regarding recurrence-free survival (RFS) in ILC patients, Fbxo22 status was independently predictive of survival as well as lymph node metastasis.

CONCLUSION

Fbxo22 negativity significantly impacts on survival in BC patients with IDC and ILC, and the disadvantage was enhanced among ILC postmenopausal women or patients treated with SERMs. The findings suggest that different therapeutic strategies might be needed according to the different histopathological types when considering adjuvant endocrine therapy.

An integrated approach to understand the regulatory role of miR-27 family in breast cancer metastasis

One of the prime reasons of increasing breast cancer mortality is metastasizing cancer cells. Owing to the side effects of clinically available drugs to treat breast cancer metastasis, it is of utmost importance to understand the underlying biogenesis of breast cancer tumorigenesis. In-silico identification of potential RNAs might help in utilizing the miR-27 family as a therapeutic target in breast cancer. The experimentally verified common interacting mRNAs for miR27 family are retrieved from three publicly available databases- TargetScan, miRDB and miRTarBase. Finally on comparing the common genes with HCMDB and GEPIA data, four breast cancer-associated differentially expressed metastatic mRNAs (GATA3, ENAH, ITGA2 and SEMA4D) are obtained. Corresponding to the miR27 family and associated mRNAs, interacting drugs are retrieved from Sm2mir and CTDbase, respectively. The interaction network-based approach was utilized to obtain the hub RNAs and triad modules by employing the 'Cytohubba' and 'MClique' plugins, respectively in Cytoscape. Further, sample-, subclass- and promoter methylation-based expression analyses reveals GATA3 and ENAH to be the most significant mRNAs in breast cancer metastasis having >10% genetic alteration in both METABRIC Vs TCGA datasets as per their oncoprint analysis via cBioPortal. Additionally, survival analysis in Oncolnc reveals SEMA4D as survival biomarker. Interactions among the miR27 family, their target mRNAs and drugs interacting with miRNAs and mRNAs can be extensively explored in both in-vivo and in-vitro setups to assess their therapeutic potential in the diminution of breast cancer.

Cyclin-dependent kinase 2 (CDK2) inhibitors and others novel CDK inhibitors (CDKi) in breast cancer: clinical trials, current impact, and future directions

Aberrant cyclin-dependent kinase 2 (CDK2) activation has been identified as a main resistance mechanism to CDK4/6 inhibition in hormone-receptor positive (HR+) breast cancer. Additionally, consistent preclinical evidence states its crucial role in MYC and CCNE1 overexpressed cancer survival, such as triple-negative breast cancers (TNBC), thus representing an appealing and relatively unexplored target treatment opportunity. Despite emerging initial results of novel CDK2 inhibitors (CDK2i) activity, a comprehensive outcomes collection is currently absent from the scientific literature. We aim to provide an overview of ongoing clinical trials involving CDK2i in the context of metastatic breast cancer (mBC), either as monotherapy or in combination with other agents. The review extends beyond CDK2i to encompass novel emerging CDK4 inhibitors, combined CDK2/4/6 inhibitors, and the well-known pan-CDK inhibitors including those specifically directed at CDK2. Delving into the results, we critically appraise the observed clinical efficacy and offer valuable insights into their potential impact and future applications.

PANoptosis: a potential new target for programmed cell death in breast cancer treatment and prognosis

Breast cancer is a prevalent and severe form of cancer that affects women all over the world. The incidence and mortality of breast cancer continue to rise due to factors such as population growth and the aging of the population. There is a growing area of research focused on a cell death mechanism known as PANoptosis. This mechanism is primarily regulated by the PANoptosome complex and displays important characteristics of cell death, including pyroptosis, apoptosis, and/or necroptosis, without being strictly defined by the cell death pathway. PANoptosis acts as a defensive response to external stimuli and pathogens, contributing to the maintenance of cellular homeostasis and overall stability. Increasing evidence suggests that programmed cell death (PCD) plays an important role in the development of breast cancer, and PANoptosis, as a novel form of PCD, may be a crucial factor in the development of breast cancer, potentially leading to the identification of new therapeutic strategies. Therefore, the concept of PANoptosis not only deepens our understanding of PCD, but also opens up new avenues for treating malignant diseases, including breast cancer. This review aims to provide an overview of the definition of PANoptosis, systematically explore the interplay between PANoptosis and various forms of PCD, and discuss its implications for breast cancer. Additionally, it delves into the current progress and future directions of PANoptosis research in the context of breast cancer, establishing a theoretical foundation for the development of molecular targets within critical signaling pathways related to PANoptosis, as well as multi-target combination therapy approaches, with the goal of inducing PANoptosis as part of breast cancer treatment.

A novel immune-related long noncoding RNA (lncRNA) pair model to predict the prognosis of triple-negative breast cancer

Background

Breast cancer (BC) is the most prevalent cancer type and is the principal cause of cancer-related death in women. Anti-programmed cell death protein 1/programmed cell death ligand 1 (PD-1/PD-L1) immunotherapy has shown promising effects in metastatic triple-negative breast cancer (TNBC), but the potential factors affecting its efficacy have not been elucidated. Immune-related long noncoding RNAs (irlncRNAs) have been reported to be involved in immune escape to influence the carcinogenic process through the PD-1/PD-L1 signaling pathway. Therefore, exploring the potential regulatory mechanism of irlncRNAs in PD-1/PD-L1 immunotherapy in TNBC is of great importance.

Methods

We retrieved transcriptome profiling data from The Cancer Genome Atlas (TCGA) and identified differentially expressed irlncRNA (DEirlncRNA) pairs. Least absolute shrinkage and selection operator (LASSO) regression analysis was performed to construct a risk assessment model.

Results

Receiver operating characteristic (ROC) curve analysis indicated that the risk model may serve as a potential prediction tool in TNBC patients. Clinical stage and risk score were proved to be independent prognostic predictors by univariate and multivariate Cox regression analyses. Subsequently, we investigated the correlation between the risk model and tumor-infiltrating immune cells and immune checkpoints. Finally, we identified USP30-AS1 through the StarBase and Multi Experiment Matrix (MEM) databases, predicted the potential target genes of USP30-AS1, and then discovered that these target genes were closely associated with immune responses.

Conclusions

Our study constructed a risk assessment model by irlncRNA pairs regardless of expression levels, which contributed to predicting the efficacy of immunotherapy in TNBC. Furthermore, the lncRNA USP30-AS1 in the model was positively correlated with the expression of PD-L1 and provided a potential therapeutic target for TNBC.

Tumor-derived mesenchymal progenitor cell-related genes in the regulation of breast cancer proliferation

Background

Breast cancer (BC) is one of the most common malignancies worldwide, and its development is affected in various ways by the tumor microenvironment (TME). Tumor-derived mesenchymal progenitor cells (MPCs), as the most important components of the TME, participate in the proliferation and metastasis of BC in several ways. In this study, we aimed to characterize the genes associated with tumor-derived MPCs and determine their effects on BC cells.

Methods

Tumor-derived MPCs and normal breast tissue-derived mesenchymal stem cells (MSCs) were isolated from tissues specimens of patients with BC. We conducted culture and passage, phenotype identification, proliferation and migration detection, inflammatory factor release detection, and other experiments on isolated MPCs from tumors and MSCs from normal breast tissues. Three paired tumor-derived MPCs and normal breast tissue-derived MSCs were then subjected to transcriptome analysis to determine the expression profiles of the relevant genes, and quantitative real-time polymerase chain reaction (qRT-PCR) was used to further confirm gene expression. Subsequently, the overexpression plasmids were transfected into tumor-derived MPCs, and the expression of various inflammatory factors of tumor-derived MPCs and their proliferation were characterized with a cell viability test reagent (Cell Counting Kit 8). Subsequently, the transfected tumor-derived MPCs were cocultured with BC cells using a conditioned medium coculture method to clarify the role of tumor-derived MSCs in BC.

Results

Tumor-derived MPCs expressed stem cell characteristics including CD105, CD90, and CD73 and exhibited adipogenic and osteogenic differentiation in vitro. The proliferation of tumor-derived MPCs was significantly lower than that of normal breast tissue-derived MSCs, and the invasive metastatic ability was comparable; however, MPCs were found to release inflammatory factors such as interleukin 6 (IL-6) and transforming growth factor β (TGF-β). Transcriptome analysis showed that stomatin (STOM), collagen and calcium binding EGF domains 1 (CCBE1), and laminin subunit alpha 5 (LAMA5) were significantly upregulated in tumor-derived MPCs. Among them, STOM was highly expressed in tumor-derived MPCs, which mediated the slow proliferation of MPCs and promoted the proliferation of BC cells.

Conclusions

STOM, CCBE1, and LAMA5 were highly expressed in tumor-derived MPCs, with STOM being found to retard the proliferation of MPCs but promote the proliferation of BC cells. There findings present new possibilities in targeted microenvironmental therapy for BC.

A WeChat-based nursing intervention program improves the postoperative rehabilitation of breast cancer patients: results from a randomized controlled trial

Background

In postoperative setting, breast cancer (BC) patients can experience adverse effects, including fatigue, sleep disorders, and pain, which substantially affect their health-related quality of life (HRQoL). This study sought to assess the effectiveness of a WeChat-based multimodal nursing program (WCBMNP) that was specifically designed for the rehabilitation of women following BC surgery.

Methods

BC patients were randomly, single-blinded allocated to either the intervention (n=62) or control (n=63) cohorts. Over a period of 6 months (24 weeks), the intervention cohort received a WCBMNP in addition to routine nursing care, while the control cohort received routine nursing care only. To evaluate patients' fear of cancer recurrence (FCR), their overall fear score was assessed using the Japanese version of the Concerns About Recurrence Scale (CARS-J) for primary outcome. The initial outcome (HRQoL) and secondary results, such as fatigue, sleep, and pain, were examined using the Functional Assessment of Cancer Therapy-Breast (FACT-B, version 4.0) and Nursing Rating Scale (NRS), respectively.

Results

Two hundred and ten participants, 85 participants were excluded. Compared to the controls (n=63), the intervention cohort (n=62) showed statistically significant improvements in their CARS-J scores. The intervention cohort aggregate scores on the FACT-B improved significantly but were affected by the compounding influences of cohort dynamics, temporal progression, and their interaction. Similar improvements were observed in the social/family and functional well-being domains. Emotional well-being was improved based on the effects of time and group-time interaction. In the intervention cohort, the "BC-specific subscale for additional concerns" was affected by group and time, whereas physical well-being was only affected by time. Conversely, there were no statistically significant changes in the variables of fatigue, sleep, and pain.

Conclusions

The WCBMNP reduced FCR and significantly increased the HRQoL of female patients with BC postoperatively. The WCBMNP could be implemented as a postoperative rehabilitation intervention in this patient population to improve outcomes.

Trial Registration

Chinese Clinical Trial Registry (ChiCTR2400081557).

Occurrence of Residual Breast Tumors and Efficacy of MRI in their Detection after Vacuum-assisted Excisional Biopsy

BACKGROUND

Residual breast tumors may remain after vacuum-assisted excisional biopsy (VAEB).

OBJECTIVE

To determine the incidence of residual breast tumors in patients after VAEB and the efficacy of magnetic resonance imaging (MRI) in detecting these tumors.

METHODS

This retrospective analysis examined patients who received VAEB before a diagnosis of breast cancer (BC) at our hospital from 2015 to 2019. The incidence of residual tumors after VAEB was determined by MRI and pathological examination. The diagnostic value of MRI in detecting residual tumors was determined for all patients and different subgroups. Logistic regression analysis was used to identify factors associated with residual tumors.

RESULTS

We examined 147 patients and obtained pathological samples from 146 patients, including 103 (70.5%) with residual tumors and 43 (29.5%) without residual tumors. The MRI examinations demonstrated the complete tumor resection rate was 48.9%. Compared to the pathological results, MRI had a positive predictive value of 77.8%, negative predictive value of 48.8%, specificity of 65.6%, and sensitivity of 60.7%. Further analysis indicated that MRI had moderate accuracies for patients with stage pT-1 (71.9%), stage pTNM-IA (73.1%), and luminal B subtype (78.3%). Binary logistic regression analysis showed that the risk of tumor residue correlated with the pathological stage.

CONCLUSION

Tumor residue is common after VAEB, and MRI has limited accuracy in detecting these residual tumors. However, for small breast tumors and luminal B subtype BC, MRI had higher accuracy in the detection of residual tumors. The risk of tumor residue is closely associated with the pathological stage.

Identification of C4BPA as biomarker associated with immune infiltration and prognosis in breast cancer

Background

C4BPA is a gene that encodes the C4BP protein α chain and is involved in the complement system. C4BPA is regarded as a new biomarker for cancer, especially for non-small cell lung cancer and ovarian cancer. However, its role in breast cancer (BC) has not yet been determined.

Methods

In this research, we used a bioinformatics approach to assess the prognostic significance of C4BPA in BC. Utilizing a variety of databases and analysis tools, including The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), R, STRING, and the Kaplan-Meier plotter, we specifically assessed the connection between C4BPA and BC.

Results

C4BPA expression was markedly decreased in BC tissues compared to its expression in normal breast tissues (P<0.05). Additionally, a receiver operating characteristic (ROC) curve revealed that C4BPA has a significant capacity for prognostication and diagnostics. Additionally, C4BPA expression was linked to some immune infiltrating cells' functionality, according to gene set enrichment analysis (GSEA) and immune infiltration analysis. Low C4BPA expression was additionally related to poor progression-free interval (PFI) and overall survival (OS), according to the Kaplan-Meier method. We also found that C4BPA expression was independently connected to PFI and OS through Cox regression analysis. Finally, prognostic analysis of the various subgroups of breast invasive carcinoma (BRCA/BIC) in TCGA showed that patients with low C4BPA expression might have worse PFI and OS in patients with Luminal A compared to other BC subtypes.

Conclusions

In conclusion, these results revealed that C4BPA could potentially act as a diagnostic biomarker for BC patients indicating unfavorable prognoses and offers valuable knowledge for creating therapeutics and prognostic indicators.

Competing risk analysis of cardiovascular death in breast cancer: evidence from the SEER database

Background

Cardiovascular disease (CVD) is the leading cause of death for all non-cancer deaths among breast cancer (BC) patients. The aim of this study was to investigate the risk of cardiovascular mortality (CVM) in patients with BC.

Methods

Patients diagnosed with primary BC between 2010 and 2018 were identified through the Surveillance, Epidemiology and End Results (SEER) database. The standardized mortality ratio (SMR) for CVD was calculated to compare the CVM of BC patients with that of the general population. Multivariate competing risk models were performed to identify predictors of CVM in BC patients.

Results

Overall, 399,014 BC patients were included from the SEER database, of whom 7,023 (1.8%) suffered death from CVD. The significantly higher overall SMR of CVM was observed in BC patients [SMR =4.84, 95% confidence interval (CI): 4.72-4.95]. Multivariate competing risk regression analysis revealed that age, race, American Joint Committee on Cancer (AJCC) stage, year of diagnosis, estrogen receptor (ER) status, progesterone receptor (PR) status, human epidermal growth factor receptor 2 (HER2) status, BC subtype, surgery, chemotherapy, radiation therapy, and median household income as independent predictors of CVM in BC patients.

Conclusions

Compared to the general population, BC patients have a higher risk of experiencing CVM during the follow-up period after diagnosis. Early detection and intervention of cardiovascular risk factors would improve overall survival (OS) of BC patients.

Prognostic factors for hormone receptor-positive breast cancer with liver metastasis and establishment of novel nomograms for prediction: a SEER-based study

Background

The prognosis of patients with hormone receptor (HR)-positive breast cancer with liver metastasis (BCLM) remains dismal and varies widely from person to person. Thus, we sought to construct nomograms to predict overall survival (OS) and breast cancer-specific survival (BCSS) in patients with HR-positive BCLM using data from the Surveillance, Epidemiology and End Results (SEER) database.

Methods

The data of patients with BCLM, who had received HR-positive diagnoses between 2010 and 2016, were collected from the SEER database. A Cox proportional hazards model was used to evaluate and identify the independent risk factors for OS and BCSS. Subsequently, two new nomograms were developed. Finally, the receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) results were evaluated.

Results

The data of 1,780 patients diagnosed between 2010 and 2015 were used to build the nomogram models. Using both univariate and multivariate Cox regression analyses, nine variables, including age, marital status, grade, human epidermal growth factor receptor 2 (HER2) status, chemotherapy, surgery, bone metastasis, lung metastasis, and brain metastasis, were found to be significantly associated with OS. Conversely, 10 variables, including age, marital status, T stage, grade, HER2 status, chemotherapy, surgery, bone metastasis, lung metastasis, and brain metastasis, were identified as independent risk factors for BCSS. Using the risk factors listed above, we created 1-, 2-, and 3-year survival nomograms for OS and BCSS, respectively. Subsequently, the data of 312 patients, who had been diagnosed in 2016, were used for the external validation. These results, including the ROC curve, calibration curve, and DCA results, showed that our nomogram had strong predictive power.

Conclusions

Nomograms can effectively and reliably predict a patient's prognosis and could be useful in clinical decision making. The nomograms had strong discrimination, calibration, and clinical values. More aggressive treatment and closer monitoring should be considered when treating high-risk individuals.

LncRNA RP11-10E18.7 cooperates with lncRNA RP11-481C4.2 to affect the overall survival of breast cancer patients: a TCGA-based retrospective study

Background

As either oncogenes or tumor suppressor genes, long non-coding RNAs (lncRNAs) have a major role in both tumorigenesis and progression of human cancers, including breast cancer (BC). However, the statistical correlation between the lncRNA-lncRNA interaction and prognosis of BC remains unclear.

Methods

We analyzed the fragments per kilobase per million (FPKM) lncRNA expression data in tumor tissue samples from 890 female patients with BC in The Cancer Genome Atlas (TCGA) between May 2021 and October 2022. The Cox proportional hazards model adjusted for age, race, clinical stage, neoadjuvant therapy, estrogen receptor (ER), and progesterone receptor (PR) was adopted to evaluate the lncRNA-lncRNA interaction regarding overall survival (OS) of BC. The multiple comparison was corrected by Bonferroni method.

Results

RP11-10E18.7×RP11-481C4.2 was significantly associated with OS of BC patients [hazard ratio (HR)interaction =1.04, 95% confidence interval (CI): 1.03-1.06, P=3.35×10-9]. Then, gene-gene interaction analysis was performed for genes co-expressed with lncRNAs. FOXA1×U2SURP (HRinteraction =1.49, 95% CI: 1.28-1.73, P=2.16×10-7) was found to have a similar interactive pattern to RP11-10E18.7×RP11-481C4.2. after classifying the patients by intersection (3.47), we observed that the effect of FOXA1 opposite in patients with different U2SURP expression level (HRhigh vs. low =0.58, 95% CI: 0.34-0.99, P=0.046 in low expression of U2SURP; HRhigh vs. low =1.56, 95% CI: 1.18-2.87, P=0.029 in high expression of U2SURP).

Conclusions

Our comprehensive study identified RP11-10E18.7×RP11-481C4.2 as a potential biomarker of BC prognosis. The results play an essential role in the impact of lncRNA-lncRNA interaction on BC survival. Our findings elucidated potential molecular mechanisms of BC progression under complex association patterns and provided potential dynamic and reversible therapeutic targets for BC patients.

Incidence and risk factors of lymph node metastasis in breast cancer patients without preoperative chemoradiotherapy and neoadjuvant therapy: analysis of SEER data

Background

Breast cancer (BC) is the leading cause of death in the female reproductive system, often linked to lymph node involvement, indicating poor prognosis. This study investigated lymph node metastasis incidence and risk factors in M0 stage BC patients who hadn't received preoperative chemoradiotherapy or neoadjuvant therapy. We explored the influence of various factors on lymph node metastasis.

Methods

We conducted a retrospective analysis using Surveillance, Epidemiology, and End Results data from BC patients diagnosed between 2010 and 2015. Binary logistic regression and propensity score matching (PSM) assessed significant factors in BC patients without preoperative treatment. We developed predictive nomograms and evaluated model performance using the concordance index, calibration curve, area under the curve, and decision curve analysis.

Results

Among 256,504 eligible BC patients, 25.57% had lymph node metastasis. Multivariate logistic regression revealed associations between lymph node metastasis and younger age, African-American ethnicity, central/nipple location, lobular carcinoma, human epidermal growth factor receptor 2 (HER2)-positive status, grade III classification, and T3 stage. PSM confirmed these findings. Interactions were identified between age, race, primary site, histology, breast subtype, grade, and T stage, all influencing lymph node metastasis.

Conclusions

This retrospective study identified lymph node metastasis in female BC patients with distinct clinicopathological characteristics who received no preoperative treatment. We constructed valuable nomograms, revealing that: (I) young age (<35 years), African-American race, central/nipple location, infiltrating duct carcinoma, HER2 positivity, high histological grade (grade III), and larger tumor size are risk factors for regional lymph node metastasis; (II) lymph node metastasis may not solely represent the invasive nature of triple-negative BC; (III) patients with different BC subtypes in T1c-T2 stages may benefit from individualized neoadjuvant treatment strategies.

A filter-electrochemical microfluidic chip for multiple surface protein analysis of exosomes to detect and classify breast cancer

Breast cancer (BC) is a complex disease with high variability and no specific tumor markers available for diagnosis. Exosomes contain rich maternal tumor information and are a novel non-invasive biomarker with the potential for cancer diagnosis and prognosis. However, analysis of exosomal protein markers in blood samples is challenging due to lengthy sample workups and insufficient sensitivity. To address this difficulty, we developed a novel filter-electrochemical microfluidic chip (FEMC) to detect and classify BC directly in whole blood without requiring heavy purification methods. In our system, exosome enrichment was performed using a dual filtration system. The target was directed through a curved channel onto four screen-printed electrodes (SPEs), where it was captured by the previously modified antibodies. Simultaneously, Zr-MOFs encapsulated with a large number of methylene blue molecules (MB@UiO-66) were absorbed on the surface of exosomes due to the high affinity for phosphate groups. This process leads to the amplification of electrical signals. The approach demonstrated that the utilization of BC exosome-associated tumor biomarkers (i.e., PMSA, EGFR, CD81, and CEA), enabled the classification of various BC mouse models samples and clinical BC samples. The entire FEMC assay was completed in 1 h with a limit of detection of 1 × 104 particles/mL. Thus, the FEMC assay can provide real-time detection information, allowing timely and better-informed opportunities for clinical BC diagnosis and typing.

Associations between marital quality and the prognosis of breast cancer in young Chinese women: 10.3-year median follow-up

BACKGROUND

Some evidence has revealed that marital status is an important predictor of breast cancer (BC) prognosis. However, what role marital quality plays in the effect of marital status on BC prognosis remains unclear.

METHODS

We conducted a prospective cohort study of women aged 20-50 years with stage I-III BC treated in accordance with a standard treatment protocol. The following three categories of marital quality were assessed: marital satisfaction, sexual relationship, and couple communication. The log-rank test was used to compare survival. Cox proportional hazards models were used to estimate hazard ratio (HR) and 95% confidence interval (CI) for recurrence and metastasis, BC-specific mortality, and overall mortality, adjusting for clinical variables.

RESULTS

A total of 1,043 married women were initially recruited in the study. Forty-five (4.3%) patients refused to participate in this study and 141 (13.5%) were excluded from the analysis. Among 857 participants, there were 59 deaths, including 57 from BC. Multivariate Cox regression analysis showed that patients with poor marital satisfaction had significantly higher risks of recurrence and metastasis (HR 3.942, 95% CI: 1.903-8.167), BC-specific mortality (HR 3.931, 95% CI: 1.896-8.150), and overall mortality (HR 3.916, 95% CI: 1.936-7.924). Those with poor sexual relationship had significantly higher risks of recurrence and metastasis (HR 5.763, 95% CI: 3.012-11.027), BC-specific mortality (HR 5.724, 95% CI: 2.992-10.949), and overall mortality (HR 5.653, 95% CI: 2.993-10.680).

CONCLUSIONS

Our results identified a subset of BC patients who have a poor prognosis, namely, those with poor marital quality. Early screening for marital quality and applying necessary social support interventions are helpful in improving the prognosis of patients with poor marital quality.

An insight into the potential role of LINC00968 in luminal breast cancer: Case-control study and bioinformatics analysis

Background

Luminal A and B subtypes of breast cancer (BC) comprises up to 70% of all BC patients. LncRNAs can affect many biological and pathological processes, and dysregulation of them is related to human cancers. The potential role of lncRNA LINC00968 in luminal BC is still unclear.

Materials and methods

We analyzed the LINC00968 expression across 44 paired luminal BC tissues from the TCGA-BRCA RNA sequencing dataset. Besides, we used the GEPIA2 web server and GENEVESTIGATOR software, as well. Real-Time Quantitative Reverse Transcription PCR (qRT-PCR) assay was performed to confirm the LINC00968 expression in 71 paired luminal BC tissues and two luminal A cell lines (MCF7 and T47D). Moreover, to better understanding the potential role of LINC00968 in luminal BC, computational data analyses including co-expression analysis, functional annotation analysis, and genetic alteration analysis have been done.

Results

The results of data analyses retrieved from BRCA dataset and databases revealed the significant downregulation of LINC00968 in luminal A and B BC. Also, the results of qRT-PCR in luminal BC tissues and cell lines confirmed the earlier data. LINC00968 expression was negatively associated with tumor stage and lymph node metastasis. Additionally, functional annotation analyses revealed that LINC00968 might be involved in vascular development and angiogenesis, extracellular matrix organization, and cell motility and migration. LINC00968 might play role in some cancer-related signaling pathways.

Conclusion

Our study found that downregulation of LINC00968 might promote tumorigenesis, invasion, and metastasis of luminal BC.

Synergistic efficacy of PI3Kδ inhibitor with anti-PD-1 mAbs in immune-humanized PDX model of endocrine resistance hormone receptor-positive advanced breast cancer

Purpose

Endocrine resistance hormone receptor-positive (HR+) advanced breast cancer (ABC) is generally insensitive to immunecheckpoint inhibitors (ICIs). This study sought to determine whether PI3Kδ inhibitor could enhance the sensitivity of endocrine resistance HR + advanced BC to ICIs by reducing immune evasion.

Methods

Patient-derived HR + ABC xenografts were implanted into immune-humanized NSG mice and subsequently treated with YY20394 (PI3Kδ inhibitor) and camrelizumab. The mice were monitored for tumor progression, biochemical blood indicators, and peripheral blood T-cell subsets. The xenografted tumors were collected at the end of the treatment cycle and subjected to HE staining, immunohistochemistry and protein phosphorylation analysis. Besides, the xenografted tumors were also used to isolate primary breast cancer cells (BCCs) and regulatory T-cells (Tregs), which were subsequently used to evaluate drug sensitivity in vitro.

Results

The humanized PDX model showed a favorable initial treatment response to camrelizumab combined with YY20394 and manageable toxicity. YY20394 plus camrelizumab showed a strong inhibitory effect on HR + BC in vivo mediated by suppression of Treg activity and an increased proportion of CD8+ T cells. Mice bearing tumors treated with YY20394 and camrelizumab had less invasion, mitotic figures, and ki67 expression, while having higher IL-12 expression compared with other groups. Mechanistically, YY20394 only effectively inhibited the PI3K pathway and proliferation activity in Tregs but not in BCCs.

Conclusion

Our study suggests PI3Kδ inhibitor could the enhance the efficacy of ICIs in HR + BC PDX models by combating immune suppression and provides a feasible approach that may overcome the resistance of ICIs in HR + BC patients.

ERα promotes SUMO1 transcription by binding with the ERE and enhances SUMO1-mediated protein SUMOylation in breast cancer

Background

Estrogen plays a crucial role in the tumorigenesis of breast cancer (BC), and epigenetic modification by SUMOylation is essential for cancer development. However, the mechanism underlying estrogen's actions on protein SUMOylation and its effect on BC development are still incompletely understood.

Methods

SUMO1 in BC cell lines was verified via real-time quantitative PCR (RT-qPCR) and western blot. Cell proliferation and colony formation assays was also performed to evaluate SUMOylation as mediated by SUMO1. Luciferase activity to examine whether E2 promoted the transcription of SUMO1, and chromatin immunoprecipitation (ChIP) assay to determine the binding of estrogen receptor alpha (ERα) to SUMO1 were conduction, and an animal model was used to evaluate the effects of E2-ERα-enhanced SUMO1 transcription.

Results

E2 promoted SUMO1 mRNA and protein expression levels in a dose- and time-dependent manner in ER-positive BC cells; it exerted no influence on SUMO2/3 expression; in E2-induced SUMO1 transcription, ERα, but not ERβ, was essential to the process. In addition, E2-ERα upregulated the transcription of SUMO1 by binding with an estrogen-response element half-site (1/2ERE, in the -134 to -123 bp region) of the SUMO1 promoter, and E2-ERα induced SUMO1 transcription-enhanced cellular viability in ER-positive BC cells. To further determine SUMOylation as mediated by SUMO1 in ER-positive BC, we evaluated novel SUMO1 target proteins such as Ras and demonstrated that E2 increased Ras SUMOylation and cellular proliferation by affecting downstream signaling-pathway transduction. Finally, our data revealed that E2-ERα enhanced SUMO1 transcription to promote tumor growth in a BC orthotopic tumor model.

Conclusions

Collectively, our results showed that E2 promoted the transcription and protein expression of SUMO1 via ERα binding to a 1/2ERE in the SUMO1 promoter, and that E2-ERα also augmented SUMO1-mediated Ras SUMOylation and mediated cellular responses in ER-positive BC. We therefore achieved significant insights into the mechanism involved in ER-positive BC development and provided a novel target for its treatment.

Identification and evaluation of a risk model predicting the prognosis of breast cancer based on characteristic signatures

Background

Breast cancer (BC) is one of the most common fatal cancers in women. Identifying new biomarkers is thus of great significance for the diagnosis and prognosis of BC.

Methods

In this study, 1,030 BC cases from The Cancer Genome Atlas (TCGA) were obtained for differential expression analysis and Short Time-series Expression Miner (STEM) analysis to identify characteristic BC development genes, which were further divided into upregulated and downregulated genes. Two predictive prognosis models were both defined by Least Absolute Shrinkage and Selection Operator (LASSO). Survival analysis and receiver operating characteristic (ROC) curve analysis were used to determine the diagnostic and prognostic capabilities of the two gene set model scores, respectively.

Results

Our findings from this study suggested that both the unfavorable (BC1) and favorable (BC2) gene sets are reliable biomarkers for the diagnosis and prognosis of BC, although the BC1 model presents better diagnostic and prognostic value. Associations between the models and M2 macrophages and sensitivity to Bortezomib were also found, indicating that unfavorable BC genes are significantly involved in the tumor immune microenvironment.

Conclusions

We successfully established one predictive prognosis model (BC1) based on characteristic gene sets of BC to diagnose and predict the survival time of BC patients using a cluster of 12 differentially expressed genes (DEGs).

Cardiac exposure in left-sided breast cancer patients undergoing deep inspiratory breath hold radiation therapy

Background

Left-sided breast cancer (BC) patients undergoing post-operative radiation therapy (PRT) may have higher risk of late cardiovascular toxicity, which may be reduced by hearth-sparing RT techniques. This study evaluated dosimetric parameters of the deep inspiration breath hold (DIBH) compared to free breathing (FB) RT. We analysed factors impacting on doses to the heart and cardiac substructures and sought anatomic factors allowing patient selection for DIBH.

Methods

The study group included 67 left-sided BC patients who underwent RT after breast-conserving surgery or mastectomy. Patients treated with DIBH were trained to hold their breath. Computed tomography (CT) scans were performed in both FB and DIBH patients. Plans were generated using 3-dimensional (3D) conformal RT. The dosimetric variables were obtained from dose-volume histograms, and the anatomical variables were derived from the CT scans. The variables in the two groups were compared by t-test, the U test, and the chi-squared test. Correlation analysis was performed using Pearson's correlation coefficient. Receiver operating characteristic curves were used to analyze the efficacy of the predictors.

Results

Compared to the FB, DIBH allowed for a mean dose reduction to the heart, left anterior descending coronary artery (LAD), left ventricle (LV), and right ventricle (RV) by 30.0%, 38.7%, 39.3%, and 34.7%, respectively. DIBH markedly increased the heart height (HH), heart chest wall distance (HCWD), the mean distance between the ipsilateral lung and breast (DBIB), and decreased the heart-chest wall length (HCWL) (P<0.05). The different value of HH, DBIB, HCWL, and HCWD between DIBH and FB were 1.31, 1.95, -0.67, and 0.22 cm, respectively (all P<0.05). ΔHH was an independent predictor of the mean dose to the heart, LAD, LV, and RV, with the area under the curve values of 0.818, 0.725, 0.821, and 0.820, respectively.

Conclusions

DIBH significantly reduced the dose to the entire heart and its substructures in left-sided BC patients undergoing post-operative RT. ΔHH predicts the mean dose to the heart and its substructures. These results may inform patient selection for DIBH.

Characteristics and survival analysis of breast cancer survivors with metachronous double primary cancers: a retrospective cohort study

Background

Breast cancer (BC) is the most frequently diagnosed malignancies in females, and its incidence has increased dramatically recently. Clinical studies have shown that BC patients are developing double primary cancers more frequently than by chance, and the prognosis has changed greatly. Previous articles rarely mentioned metachronous double primary cancers in BC survivors. Thus, further analysis of the clinical characteristics and survival differences may provide valuable information in BC survivors.

Methods

In this study, we retrospectively analyzed 639 cases of double primary cancers in BC patients. Cox univariate and multivariate regression analyses of clinical factors of overall survival (OS) were performed in patients with double primary cancers when breast cancer was the primary tumor to assess the correlation between clinical factors and OS in these patients with double primary cancers.

Results

Among the double primary cancer patients, BC was the most frequent first primary cancer. In terms of numbers, thyroid cancer was the most common type of double primary cancer among BC survivors. Patients had a younger median age when BC occurred as the first primary cancer rather than the second primary cancer. The total mean time interval between the onset of double primary tumors was 70.8 months. With the exception of the thyroid and cervical cancer, the incidence of second primary tumors was <60% within 5 years. However, the incidence was >60% within 10 years. The mean OS of double primary cancer patients was 109.8 months. Additionally, patients who had thyroid cancer as their second primary cancer had the highest 5-year survival rate, followed by cervical, colon, and endometrial cancer, while patients who had lung cancer as their second primary cancer had the lowest 5-year survival rate. OS risk of BC survivors with second primary cancers was significantly associated with age, menopause status, family history, tumor size, lymph node metastasis, and human epidermal growth factor receptor 2 (HER2) status.

Conclusions

The identification of double primary cancers in earlier stages could play a critical role in guidance and lead to better outcomes. A prolonged follow-up examination period for BC survivors is needed to provide better guidance and treatments.

Syndecan-4 regulates the HER2-positive breast cancer cell proliferation cells via CK19/AKT signalling

Despite the use of the highly specific anti-HER2 receptor (trastuzumab) therapy, HER2-positive breast cancers account for 20-30% of all breast cancer carcinomas, with HER2 status a challenge to treatment interventions. The heparan sulfate proteoglycans (HSPGs) are prominently expressed in the extracellular matrix (ECM), mediate breast cancer proliferation, development, and metastasis with most studies to date conducted in animal models. This study examined HSPGs in HER2-positive human breast cancer cell lines and their contribution to cancer cell proliferation. The study examined the cells following enhancement (via the addition of heparin) and knockdown (KD; using short interfering RNA, siRNA) of HSPG core proteins. The interaction of HSPG core proteins and AKT signalling molecules was examined to identify any influence of this signalling pathway on cancer cell proliferation. Our findings illustrated the HSPG syndecan-4 (SDC4) core protein significantly regulates cell proliferation with increased BC cell proliferation following heparin addition to cultures and decreased cell number following SDC4 KD. In addition, along with SDC4, significant changes in CK19/AKT signalling were identified as mediators of BC HER2-positive BC cell proliferation. This study provides evidence for a cell growth regulatory axis involving HSPGs/CK19 and AKT that represents a potential molecular target to prevent proliferation of HER2-positive breast cancer cells.

Bioinformatics combined with clinical data to analyze clinical characteristics and prognosis in patients with HER2 low expression breast cancer

Background

Human epidermal growth factor receptor 2 (HER2) is a landmark protein in determining the targeted treatment of breast cancer (BC). However, the latest research shows that different intensity of HER2 protein expression levels in BC leads to different clinical characteristics, treatment, and prognosis, especially in HER2 low expression patients. Therefore, this study intends to analyze and compare the clinicopathologic features and prognosis of BC patients with low and zero HER2 expression from The Cancer Genome Atlas (TCGA) database and the data collected by our center.

Methods

First, the BC dataset was downloaded from TCGA database, including 345 eligible and with complete clinical information BC patients, to compare the difference between HER2 low expression groups and HER2 zero expression groups and their correlation with estrogen receptor (ER) and progesterone receptor (PR) expression. Then, the clinicopathological data and follow-up of 405 patients with HER2 low expression and HER2 zero expression diagnosed with BC admitted to the Affiliated Hospital of Youjiang Medical University for Nationalities (YJMU) from January 2017 to December 2021 were collected to verify the consistency of the results of the two data sets.

Results

Both the clinical samples and the TCGA data showed that the ER and PR rates were higher in the HER2 low expression group compared with the HER2 zero expression group. There were no significant differences in tumor size, lymph node metastasis, distant metastasis, and disease-free survival (DFS). In addition, the data analysis of 405 clinical samples also showed that the HER2 low expression group had a lower 3-year recurrence or metastasis rate compared with the HER2 zero expression group.

Conclusions

Compared with HER2 zero expression, HER2 low patients express more ER and PR, and have less short-term recurrence and metastasis, but there is no obvious difference in DFS between the two groups.

Neoadjuvant pyrotinib plus trastuzumab and vinorelbine for HER2-positive locally advanced breast cancer patient who was initially resistant to HP therapy: a case report and literature review

Background

Trastuzumab (H) and pertuzumab (P) plus chemotherapy is the standard guideline-recommended neoadjuvant therapy recommended for patients with human epidermal growth factor receptor 2 (HER2)-positive locally advanced breast cancer (BC), which has dramatically improved patient prognosis. However, over 10% of patients develop primary drug resistance to HP and did not respond to treatment. There is no standard second-line neoadjuvant therapy approach for these individuals at the present. Pyrotinib and vinorelbine have shown promising efficacy in HER2-positive metastatic breast cancer, but their usage in neoadjuvant therapy has not been reported so far.

Case Description

Here, we present a case of a 58-year-old female patient with locally advanced HER2-positive BC who was initially resistant to HP neoadjuvant therapy. Following the failure of the treatment, this patient was given pyrotinib plus trastuzumab and vinorelbine as second-line neoadjuvant therapy. The patient tolerated this treatment well, with mild symptoms of diarrhea. After 6 cycles of neoadjuvant therapy, the efficacy was assessed to be partial remission (PR), and a modified radical mastectomy was finally conducted. This patient remained disease-free for 23 months after surgery.

Conclusions

This is the first report to present a case of neoadjuvant pyrotinib plus trastuzumab and vinorelbine in a patient with HER2-positive locally advanced BC, suggesting that the combination could be a new option for patients who have developed resistance to HP neoadjuvant treatment.

The efficacy and safety of using pyrotinib combined with capecitabine as neoadjuvant therapy in elderly patients with HER2-positive breast cancer: a single-arm prospective clinical trial

Background

Pyrotinib combined with capecitabine has been approved for the treatment of patients with human epidermal growth factor receptor 2 (HER2)-positive metastatic breast cancer in China. To date, the management of early-stage or locally advanced HER2-positive breast cancer in the clinic remains challenging. We conducted this trial to investigate the efficacy and safety of pyrotinib combined with capecitabine as neoadjuvant therapy (NAT) in elderly patients with HER2-positive breast cancer. Due to the stimulation of blood vessels by chemotherapy drugs, the elasticity of blood vessels in the elderly decreases, and then chemotherapy infusion is more likely to lead to phlebitis. Both pyrotinib and capecitabine can be taken to facilitate home treatment for elderly patients with HER2-positive breast cancer (BC).

Methods

From January 2020 to March 2021, patients aged between 70 and 81 years old with stage IIA-IIIB HER2-positive breast cancer were screened, enrolled, and assigned to receive six cycles of pyrotinib (320-400 mg, orally, once daily) plus capecitabine (1,250 mg/m², orally, twice daily) on days 1-14 in every 21-day cycle. The primary endpoint was the objective response rate (ORR). Adverse events (AEs) were assessed in every neoadjuvant cycle. Surgery was performed after the last cycle, and the total pathological complete response (tpCR) was evaluated postoperatively.

Results

Of the 23 patients enrolled, the ORR was 100% (23/23; 95% confidence intervals: 85 to 100). All patients underwent surgery with a tpCR rate of 43.5% (10/23; 95% confidence intervals: 23 to 66). The most common AE was diarrhea, occurring in 19 of 23 patients (82.6%); most of these patients sustained mild diarrhea (Grade 1 or Grade 2) and only three had moderate diarrhea (Grade 3). The incidences of other AEs, including weakness, loss of appetite, leukopenia, nausea, vomiting, hand-foot syndrome, etc., were low and the symptoms were mild. No severe AEs (Grade 4 or 5) were observed throughout the treatment.

Conclusion

In our study, pyrotinib combined with capecitabine as neoadjuvant therapy in elderly women with HER2-positive breast cancer is safe and showed efficacy in this population, which may be widely used as a protocol for clinical neoadjuvant therapy.

Development and validation of a prognostic model for HER2-low breast cancer to evaluate neoadjuvant therapy

Background

Human epidermal growth factor receptor 2 (HER2) low breast cancer (BC) accounts for 30-51% of all BCs. How to precisely assess the response to neoadjuvant therapy in this heterogenous tumor is currently unanswered. With the advance in multi-omics, refining the molecular subtyping other than the current hormone receptor (HR)-based subtyping to guide the neoadjuvant therapy for HER2-low BC is potentially feasible.

Methods

The messenger RNA (mRNA), clinical, and pathological data of all HER2-low BC patients (n=368) from the Neoadjuvant I-SPY2 Trial, were retrieved. Ninety-eight patients achieved pathological complete response (pCR) were randomly divided into the training and validation sets with 8:2 ratio. The non-pCR cases were corporated into the above datasets with 1:1 ratio. The rest non-pCR cases were served as the test set. Random forest (RF), support vector machine (SVM), and fully connected neural network (FCNN) were applied to establish a 1-dimensional (1D) model based on mRNA data. The method with best prediction value among the 3 models was selected for further modeling when combining pathological features. A new classification of deep learning (CDn) was proposed based on a multi-omics model. After identifying pCR-related features by the integral gradient and unsupervised hierarchical clustering method, the responses to neoadjuvant therapy associated with these features across different subgroups were analyzed.

Results

Compared with the RF and SVM models, the FCNN model achieved the best performance [area under the curve (AUC): 0.89] based on the mRNA feature. By combining mRNA and pathological features, the FCNN model proposed 2 new subtypes including CD1 and CD0 for HER2-low BC. CD1 increased the sensitivity to predict pCR by 23.5% [to 87.8%; 95% confidence interval (CI): 78% to 94%] and improved the specificity to pCR by 12.2% (to 77.4%; 95% CI: 69% to 87%) when comparing with the current HR classification for HER2-low BC.

Conclusions

The new typing method (CD1 and CD0) proposed in this study achieved excellent performance for predicting the pCR to neoadjuvant therapy in HER2-low BC. The patients who were not sensitive to neoadjuvant therapy according to multi-omics models might receive surgical treatment directly.

Role of PAX2 in breast cancer verified by bioinformatics analysis and in vitro validation

Background

Breast cancer (BC) is the most frequently diagnosed cancer in women and the second most common cancer among newly diagnosed cancers worldwide. Studies have shown that paired box 2 (PAX2) participates in the tumorigenesis of some cancer cells, but its role in BC is still unclear.

Methods

Transcriptome expression profiles and clinicopathological information of BC were downloaded from The Cancer Genome Atlas (TCGA) database to explore the expression level and prognostic value of PAX2. Gene set enrichment analysis (GSEA) and functional enrichment analysis were performed to investigate the functions and pathways of PAX2. Moreover, real-time reverse transcriptase-polymerase chain reaction (RT-qPCR) was used to determine the expression of PAX2 in BC tissues, and the predictive value of PAX2 in clinical samples was assessed. Cell Counting Kit-8 (CCK-8) assay was used to evaluate cell growth. The migration and invasive capacities of cells were assessed by wound healing assay and Transwell assay.

Results

PAX2 was upregulated in the TCGA-BC datasets. GSEA suggested that PAX2 may be involved in the regulation of signaling pathways such as MAPK. Moreover, PAX2 was overexpressed in BC tissues, and PAX2 expression was associated with tumor size and lymph node metastasis. PAX2 deficiency could promote the growth, migration, and invasion of BC cells.

Conclusions

Upregulation of PAX2 inhibited BC cell growth, migration, and invasion, making PAX2 a potential therapeutic target for BC.

Bioinformatic Analysis Divulged Novel Prognostic Circulating MicroRNAs and Their Potential Target Genes in Breast Cancer

Breast cancer (BC) is both an inherited and environmental-based disease which is the leading cause of death among women. Early detection of BC can prevent invasion and metastasis in patients. Currently, researchers endeavor to find non-invasive biological markers from body fluids. Circulating non-coding RNAs such as microRNAs (miRNAs) can potentially be valuable prognostic and detective biomarkers. To identify novel miRNA-based biomarkers, we utilized bioinformatic tools. To reach this goal, the miRNA expression profiles of GSE31309, GSE 44,281, GSE98181, and GSE118782 were analyzed through a limma package of R. Target gene prediction of differentially expressed miRNAs, called differentially expressed miRNAs (DEMs), between samples of healthy individuals and BC patients was implemented through Multimir package of R. Functional enrichment analysis of predicted target genes through Enrich R (online database) revealed that most of the genes are enriched in the mitochondrial outer membrane for cellular component, intrinsic apoptotic signaling regulations for biological processes, transcription co-receptor activity for molecular functions, and dopaminergic synapse pathway. Furthermore, our survival analysis results revealed that miR-29c and mir-361 have the potential to serve as prognostic biomarkers.

Genetic analysis of polymorphism rs10937405 of TP63 gene in breast and ovarian cancer patients of North Indian Cohort

INTRODUCTION

Ovarian and breast cancers are highly prevalent in the population of Jammu and Kashmir (J&K). However, case-control association studies on breast and ovarian cancers are lacking in this population. Moreover, no case-control study is available on variant rs10937405 of TP63 in breast and ovarian cancers. Thus, we designed to replicate the cancer susceptible variant rs10937405 of TP63 in ovarian and breast cancers in the population of J&K because the TP63 gene act as a tumor suppressor gene and was previously associated with various cancers.

MATERIALS AND METHODS

This case-control association study conducted at the Shri Mata Vaishno Devi University, includes 150 breast, 150 ovarian cancer cases, and 210 healthy controls (age and sex-matched). Variant rs10937405 of the TP63 gene was determined by the TaqMan assay. Hardy-Weinberg equilibrium for the variant was assessed using the Chi-square test. The allele and genotype-specific risks were estimated by odds ratios (ORs) with 95% confidence intervals (CI).

RESULTS

In this study, variant rs10937405 of TP63 gene did not show any risk with ovarian and breast cancer with (P-value = 0.70) having OR 0.94, (0.69-1.28 at 95% CI) and (P-value = 0.16) having OR 0.80, (0.59-1.10).

DISCUSSION

Our results indicate that the variant rs10937405 of the TP63 gene did not impart any risk of breast and ovarian cancer in the population of J&K. Our results indicate that a larger sample size is needed for further statistical validation. As the study was for a particular variant, it warrants the analysis of other variants of this gene.

Establishment and validation of an aging-related risk signature associated with prognosis and tumor immune microenvironment in breast cancer

BACKGROUND

Breast cancer (BC) is a highly malignant and heterogeneous tumor which is currently the cancer with the highest incidence and seriously endangers the survival and prognosis of patients. Aging, as a research hotspot in recent years, is widely considered to be involved in the occurrence and development of a variety of tumors. However, the relationship between aging-related genes (ARGs) and BC has not yet been fully elucidated.

MATERIALS AND METHODS

The expression profiles and clinicopathological data were acquired in the Cancer Genome Atlas (TCGA) and the gene expression omnibus (GEO) database. Firstly, the differentially expressed ARGs in BC and normal breast tissues were investigated. Based on these differential genes, a risk model was constructed composed of 11 ARGs via univariate and multivariate Cox analysis. Subsequently, survival analysis, independent prognostic analysis, time-dependent receiver operating characteristic (ROC) analysis and nomogram were performed to assess its ability to sensitively and specifically predict the survival and prognosis of patients, which was also verified in the validation set. In addition, functional enrichment analysis and immune infiltration analysis were applied to reveal the relationship between the risk scores and tumor immune microenvironment, immune status and immunotherapy. Finally, multiple datasets and real-time polymerase chain reaction (RT-PCR) were utilized to verify the expression level of the key genes.

RESULTS

An 11-gene signature (including FABP7, IGHD, SPIB, CTSW, IGKC, SEZ6, S100B, CXCL1, IGLV6-57, CPLX2 and CCL19) was established to predict the survival of BC patients, which was validated by the GEO cohort. Based on the risk model, the BC patients were divided into high- and low-risk groups, and the high-risk patients showed worse survival. Stepwise ROC analysis and Cox analyses demonstrated the good performance and independence of the model. Moreover, a nomogram combined with the risk score and clinical parameters was built for prognostic prediction. Functional enrichment analysis revealed the robust relationship between the risk model with immune-related functions and pathways. Subsequent immune microenvironment analysis, immunotherapy, etc., indicated that the immune status of patients in the high-risk group decreased, and the anti-tumor immune function was impaired, which was significantly different with those in the low-risk group. Eventually, the expression level of FABP7, IGHD, SPIB, CTSW, IGKC, SEZ6, S100B, CXCL1, IGLV6-57 and CCL19 was identified as down-regulated in tumor cell line, while CPLX2 up-regulated, which was mostly similar with the results in TCGA and Human Protein Atlas (HPA) via RT-PCR.

CONCLUSIONS

In summary, our study constructed a risk model composed of ARGs, which could be used as a solid model for predicting the survival and prognosis of BC patients. Moreover, this model also played an important role in tumor immunity, providing a new direction for patient immune status assessment and immunotherapy selection.

Energy metabolism pathways in breast cancer progression: The reprogramming, crosstalk, and potential therapeutic targets

Breast cancer (BC) is a malignant tumor that seriously endangers health in women. BC, like other cancers, is accompanied by metabolic reprogramming. Among energy metabolism-related pathways, BC exhibits enhanced glycolysis, tricarboxylic acid (TCA) cycle, pentose phosphate pathway (PPP), glutamate metabolism, and fatty acid metabolism activities. These pathways facilitate the proliferation, growth and migration of BC cells. The progression of BC is closely related to the alterations in the activity or expression level of several metabolic enzymes, which are regulated by the intrinsic factors such as the key signaling and transcription factors. The metabolic reprogramming in the progression of BC is attributed to the aberrant expression of the signaling and transcription factors associated with the energy metabolism pathways. Understanding the metabolic mechanisms underlying the development of BC will provide a druggable potential for BC treatment and drug discovery.

Efficacy and safety of neoadjuvant pertuzumab plus trastuzumab in combination with chemotherapy regimen in Chinese patients with HER2-positive early breast cancer: a real-world retrospective multi-center cohort study

Background

Pertuzumab plus trastuzumab combined with chemotherapy has become a standard neoadjuvant therapy option for patients with high-risk human epidermal growth factor receptor 2 (HER2)-positive breast cancer (BC). There is still not enough evidence for the efficacy and safety of neoadjuvant pertuzumab and trastuzumab plus chemotherapy in HER2-positive BC patients in China, both in clinical trials and real-world settings. This study aimed to assess the efficacy and safety of neoadjuvant pertuzumab plus trastuzumab in combination with chemotherapy in Chinese patients with HER2-positive BC in real-world clinical application.

Methods

We retrospectively collected the data from the electronic medical records of HER2-positive patients treated with neoadjuvant trastuzumab and pertuzumab plus chemotherapy from December 2018 to May 2021 at 21 hospitals located in Hunan Province, China, including age, American Joint Committee on Cancer (AJCC) stage, clinical tumor size, clinical lymph node status, pathological characteristics (before neoadjuvant systemic therapy), treatment approach, adverse events to neoadjuvant therapy, and achievement of pathological complete response (pCR). The primary endpoint was the total rate of pCR, and the secondary endpoints were the rate of pCR of each subgroup and the safety of dual anti-HER2 therapy.

Results

A total of 188 patients met the inclusion criteria and were included in the analysis. Of the 188 patients, 119 (63.3%) were diagnosed at stage II and 64 (34.0%) at stage III; 163 (86.7%) were cT2-3; 149 patients (79.3%) were ≥ cN1; 84 patients (44.7%) were hormone receptor (HR)-positive. pCR was observed in 88 of 188 patients (46.8%). The pCR rate of HR-negative patients (54.8%) was higher (P=0.014) than that of HR-positive patients (36.9%). Patients with Ki-67 <15% achieved a higher (P=0.033) pCR rate (68.2%) than those with Ki-67 ≥15% (44.0%). Anemia was the most common adverse event (63.4%), and the most common grade 3-4 adverse event was nausea and vomiting (8.5%).

Conclusions

Our study confirmed the benefit of neoadjuvant pertuzumab plus trastuzumab in combination with chemotherapy on pCR with a tolerable safety profile in routine clinical practice in Chinese patients with HER2-positive BC. HR-negativity and Ki-67 <15% were associated with pCR in these patients.

Efficacy and safety of pyrotinib and radiotherapy vs. pyrotinib-based therapy in patients with HER2+ breast cancer with brain metastasis: a retrospective cohort study

Background

At present, local therapy, such as surgery and radiotherapy, is the mainstay treatment for brain metastasis and anti-human epidermal growth factor receptor type 2 (HER2)-targeted therapy has been shown to be efficacious for HER2⁺ breast cancer (BC) patients with brain metastasis. However, Clinical studies comparing the combined effects of the two treatments are lacking. This study sought to investigate the efficacy and safety of pyrotinib and radiotherapy versus pyrotinib-based therapy in treating HER2⁺ BC patients with brain metastasis.

Methods

This retrospective, observational study collected data from 79 HER2⁺ BC patients with brain metastasis who received pyrotinib-based therapy from May 2018 to December 2021. Among these patients, 35 received pyrotinib-based therapy concurrently with, or within 3 months before or after, brain radiotherapy (Group A), and 44 received pyrotinib-based therapy as the primary regimen (with no restriction as to whether they had received brain radiotherapy previously or not, the interval between receiving radiotherapy and receiving pyrotinib was >3 months) (Group B). Patient information was collected by the Electronic Medical Records System. The primary endpoints were progression-free survival (PFS) and overall survival (OS). The secondary endpoints were the objective response rate (ORR), the clinical benefit rate (CBR), and safety. The assessment of adverse effects was based on CTCAE5.0.

Results

The intracranial ORRs were 48.6% in Group A and 20.5% (9/44) in Group B (P=0.015). The intracranial CBRs were 80.0% in Group A and 65.9% in Group B. The median intracranial PFS times (IC-PFS) were 15.0 months and 9.0 months in Group A and Group B, respectively (P=0.385). There was no statistically significant difference in OS between the 2 groups (95.0 vs. 98.0 months, P=0.872). The subgroup analysis showed that patients with active brain metastasis who received pyrotinib and radiotherapy had a longer IC-PFS time than those who received pyrotinib-based therapy(P=0.056). No serious adverse reactions (e.g., acute brain edema, cognitive dysfunction, or treatment-related death events) were observed.

Conclusions

Pyrotinib combined with radiotherapy is recommended for HER2⁺ breast cancer active brain metastasis patients who can tolerate radiotherapy and pyrotinib. Pyrotinib-based therapy may be considered for patients who cannot tolerate radiotherapy and pyrotinib.

Key points of breast cancer management under public health emergencies

Since the end of February 2022, China has experienced a new wave of coronavirus disease 2019 (COVID-19) outbreaks caused by the Omicron variant. These outbreaks frequently occur at multiple sites, involving many provinces and cities. Prevention and control work is facing more challenges only after the Wuhan epidemic. As a general principle, the priority of treatment should be determined according to the biological features, clinical stages, and treatment stages of different breast cancer (BC) subtypes, and individualized diagnosis and treatment recommendations should be given. These patients belong to a high-priority population, for whom receiving treatment in a hospital is urgently required. In addition, treatment should also be prioritized for patients experiencing new tumor-related symptoms or serious adverse events. If the disease condition is stable, the frequency of follow-up re-examinations can be reduced according to the epidemic control situation. Online diagnosis and treatment are recommended to maintain doctor-patient communication. However, special attention should still be paid to treatment-associated safety issues, and safety monitoring measures should be adopted. For low-priority patients with stable disease, elective follow-up visits may be arranged after risk-benefit assessment based on the severity of the local COVID-19 epidemic and the risk of infection. Based on the above principle, we once again present our opinions on the top ten hot issues concerning the clinical diagnosis and treatment of BC during the COVID-19 epidemic in China.

CSCO expert consensus on the diagnosis and treatment of breast cancer brain metastasis

Breast cancer is one of the most common malignancies among women worldwide. According to the International Agency for Research on Cancer, breast cancer affected more Chinese women than any other cancer in 2020. The brain is an increasingly common metastatic sites of breast cancer. Although the risk of developing brain metastases (BMs) is lower in breast cancer than in lung cancer and melanoma, due to its high prevalence, it is the second most common cause of BM among solid tumors, being second only to lung cancer. The incidence of breast cancer brain metastasis (BCBM) differs by molecular subtype. Half of patients with advanced human epidermal growth factor receptor-2 (HER2)-positive and one-third of patients with triple-negative breast cancer (TNBC) develop BM. The clinical manifestations of leptomeningeal metastasis (LM) are often non-specific and may manifest as a variety of signs and symptoms, mainly including brain parenchyma involvement and meningeal irritation syndromes cranial nerve involvement, increased intracranial pressure, and progressive brain dysfunction. Therefore, the Chinese Society of Clinical Oncology (CSCO) Breast Cancer Committee has developed this expert consensus on BM, in an effort to improve the overall prognosis of BCBM and promote the standardized diagnosis and treatment of this disease. During the development of this expert consensus, we carried out a comprehensive literature review and referred to some of the most authoritative guidelines in China and abroad. In this consensus, we will discuss clinical manifestations, imaging examinations, pathological diagnosis, treatments, prognosis, follow-up and monitoring. We hope this consensus will be of help to all the clinicians majored in breast cancer and other similar professions.

Functional interplay between long non-coding RNAs and Breast CSCs

Breast cancer (BC) represents aggressive cancer affecting most women’s lives globally. Metastasis and recurrence are the two most common factors in a breast cancer patient's poor prognosis. Cancer stem cells (CSCs) are tumor cells that are able to self-renew and differentiate, which is a significant factor in metastasis and recurrence of cancer. Long non-coding RNAs (lncRNAs) describe a group of RNAs that are longer than 200 nucleotides and do not have the ability to code for proteins. Some of these lncRNAs can be mainly produced in various tissues and tumor forms. In the development and spread of malignancies, lncRNAs have a significant role in influencing multiple signaling pathways positively or negatively, making them promise useful diagnostic and prognostic markers in treating the disease and guiding clinical therapy. However, it is not well known how the interaction of lncRNAs with CSCs will affect cancer development and progression.

Here, in this review, we attempt to summarize recent findings that focus on lncRNAs affect cancer stem cell self-renewal and differentiation in breast cancer development and progression, as well as the strategies and challenges for overcoming lncRNA's therapeutic resistance.

Screening of BRCA1/2 variants in Mauritanian breast cancer patients

Background and study aim

Carrying a pathogenic BRCA1/2 variant increases greatly young women’s risk of developing breast cancer (BC). This study aimed to provide the first genetic data on BC in Mauritania.

Methods

Using NGS based screening; we searched for BRCA1/2 variants in DNA samples from 137 patients diagnosed for hereditary BC.

Results

We identified 16 pathogenic or likely pathogenic (PV) variants carried by 38 patients. Two predominant BRCA1 PV variants were found: c.815_824dup and c.4986 + 6 T > C in 13 and 7 patients, respectively. Interestingly, three novels BRCA1/2 predicted pathogenic variants have also been detected. Notably, no specific distribution of BRCA1/2 variants was observed regarding triple negative breast cancer (TNBC) or patient gender status.

Conclusions

In this first genetic profiling of BC in Mauritania, we identified a substantial number of BRCA1/2 pathogenic variants. This finding could be important in the future diagnosis and prevention policy of hereditary BC in Mauritania.

Temporal Dynamics of Resting-state Functional Networks and Cognitive Functioning following Systemic Treatment for Breast Cancer

Many women with breast cancer suffer from a decline in memory and executive function, particularly after treatment with chemotherapy. Recent neuroimaging studies suggest that changes in network dynamics are fundamental in decline in these cognitive functions. This has, however, not yet been investigated in breast cancer patients. Using resting state functional magnetic resonance imaging, we prospectively investigated whether changes in dynamic functional connectivity were associated with changes in memory and executive function. We examined 34 breast cancer patients that received chemotherapy, 32 patients that did not receive chemotherapy, and 35 no-cancer controls. All participants were assessed prior to treatment and six months after completion of chemotherapy, or at similar intervals for the other groups. To assess memory and executive function, we used the Hopkins Verbal Learning Test – Immediate Recall and the Trail Making Test B, respectively. Using a sliding window approach, we then evaluated dynamic functional connectivity of resting state networks supporting memory and executive function, i.e. the default mode network and frontoparietal network, respectively. Next, we directly investigated the association between cognitive performance and dynamic functional connectivity. We found no group differences in cognitive performance or connectivity measures. The association between dynamic functional connectivity of the default mode network and memory differed significantly across groups. This was not the case for the frontoparietal network and executive function. This suggests that cancer and chemotherapy alter the role of dynamic functional connectivity in memory function. Further implications of these findings are discussed.

Identification of immune-related biomarkers for predicting neoadjuvant chemotherapy sensitivity in HER2 negative breast cancer via bioinformatics analysis

BACKGROUND

Neoadjuvant chemotherapy (NAC) is an important treatment for breast cancer (BC) patients. However, due to the lack of specific therapeutic targets, only 1/3 of human epidermal growth factor receptor 2 (HER2)-negative patients reach pathological complete response (pCR). Therefore, there is an urgent need to identify novel biomarkers to distinguish and predict NAC sensitive in BC patients.

METHODS

The GSE163882 dataset, containing 159 BC patients treated with NAC, was downloaded from the Gene Expression Omnibus (GEO) database. Patients with pathological complete response (pCR) and those with residual disease (RD) were compared to obtain the differentially expressed genes (DEGs). Functional enrichment analyses were conducted on these DEGs. Then, we intersect the DEGs and immune-related genes to obtain the hub immune biomarkers, and then use the linear fitting model ("glm" package) to construct a prediction model composed of 9 immune biomarkers. Finally, the single sample gene set enrichment analysis (ssGSEA) algorithm was used to analyze immune cell invasion in BC patients, and the correlation between immune cell content and immune gene expression levels was analyzed.

RESULTS

Nine immune-related biomarkers were obtained in the intersection of DEGs and immune-related genes. Compared with RD patients, CXCL9, CXCL10, CXCL11, CXCL13, GZMB, IDO1, and LYZ were highly expressed in pCR patients, while CXCL14 and ESR1 were lowly expressed in pCR patients. After linear fitting of the multi-gene expression model, the area under the curve (AUC) value of the ROC curve diagnosis of pCR patients was 0.844. Immunoinfiltration analysis showed that compared with RD patients, 15 of the 28 immune cell types examined showed high-infiltration in pCR patients, including activated CD8 T cells, effector memory CD8 T cells, and activated CD4 T cells.

CONCLUSIONS

This investigation ultimately identified 9 immune-related biomarkers as potential tools for assessing the sensitivity of NAC in HER2-negative BC patients. These biomarkers have great potential for predicting pCR BC patients.

Surgical reduction in chest wall disease to prolong survival in breast cancer patients: a retrospective study

BACKGROUND

Patients with breast cancer (BC) may develop locoregional recurrence alone or with distant metastases. Results of previous studies discussing the benefit of local surgery among patients with chest wall disease were controversial. Whether surgical reduction for chest wall disease could influence survival outcome is still a question. The objective of this study was to compare overall survival (OS) in patients with recurrence involving the chest wall who did or did not undergo surgical reduction after previous treatment of the primary BC to explore the role of surgical reduction.

METHODS

We retrospectively reviewed BC patients with chest wall as the first recurrent/metastatic site selected between January 2012 and December 2018 to explore whether surgical reduction for chest wall disease could influence OS. Clinicopathological data, including age at initial diagnosis, TNM stage, the pathological parameters, and treatment were recorded and analyzed. OS was primarily described using the Kaplan-Meier estimator for each group, with the statistical significance between groups being tested by the log-rank test.

RESULTS

A total of 198 patients with a median age of 48 years (range, 22-73 years) were analyzed. Chest wall as the only site of recurrence occurred in 139 patients (70.2%), and the other 59 (29.8%) patients had other metastatic sites. There were 88 patients who underwent surgical reduction for chest wall recurrence. The median OS was significantly longer for the patients who had chest wall disease reduction than for those who did not {194.2 months [95% confidence interval (CI): 140.4-247.9 months] vs. 102.7 months (95% CI: 79.7-125.7 months), respectively, P=0.001}. From multivariate analysis, surgical reduction was an independent factor significantly influenced OS (HR =0.52, 95% CI: 0.33-0.81, P=0.004). Subgroup analyses showed that OS was statistically longer in the chest wall disease surgical reduction group than in the no reduction group with respect to hormone receptor (HR) negative (-), human epidermal growth factor receptor 2 (HER2) negative (-), triple-negative breast cancer (TNBC), disease-free survival (DFS) >24 months, and chest wall disease only.

CONCLUSIONS

BC patients with chest wall recurrence could benefit from surgical reduction with a prolonged OS. In a certain selected group, surgical reduction may be warranted.

Narrative review of progress in pathological diagnosis of breast cancer

Background and Objective

Breast cancer (BC) contains a spectrum of diseases with distinctive presentations, morphology, biology, and clinical phenotypes. BC varies significantly in its biological behaviour and response to treatment. Combination of the traditional histopathological with the molecular types of BC allows more accurate prediction of its biological and clinical heterogeneity. We aim to provide a review of the latest advances in breast pathological detection and related biomarkers.

Methods

We reviewed English publications in PubMed related to progress in pathological diagnosis of breast cancer from 2000 to 2022.

Key Content and Findings

This review outlines the latest advances in breast pathological detection and related biomarkers, include histological types, human epidermal growth factor receptor 2 (HER2), estrogen receptor (ER), Ki67, tumor infiltrating lymphocytes. The histological types and molecular pathological markers of BC are closely related to its treatment and prognosis. The 5th edition World Health Organization (WHO) classification of Breast tumours more emphasis on the clinical significance of histological types. The consensus on the testing of biomarkers for BC has also become more precise, not only suggesting that the primary and metastases of BC be detected for the expressions of ER, PR, and HER2, but also introducing the concept of ER and HER2 low-expressions. In addition, the Ki67 proliferation index plays an important role in the expected therapeutic effect. With the gradual rise of immunotherapy, treatments based on programmed death protein-1/programmed death protein-ligand 1 (PD-1/PD-L1) immune checkpoint inhibitors have achieved some results in clinical efficacy for BC, while studies related to tumor infiltrating lymphocytes (TILs) are gradually gaining more attention.

Conclusions

With the deep and continued research of BC, these discoveries will demonstrate significant clinical application value in the future.

Comprehensive analysis reveals GRP94 is associated with worse prognosis of breast cancer

BACKGROUND

Breast cancer (BC) is the most common cancer diagnosed in women around the world. Glucose-related protein 94 (GRP94) is a molecular chaperone on the endoplasmic reticulum (ER) that is associated with many malignancies, although its role in breast carcinogenesis has remained unclear. This study aimed to investigate the expression of GRP94 in BC and its relationship with BC clinicopathological features and prognosis based on a comprehensive analysis.

METHODS

The mutation and expression patterns of GRP94 in multiple cancers were elucidated from TCGA data. A GRP94 IS (immune score) was generated from breast tumors in Chinese women by multiplying the staining intensity and the percentage of positive cells. The relationship between GRP94 expression and clinicopathological parameters in TMA samples was identified by Spearman correlation analysis. We established a GRP94 co-expression interaction network from two databases (TCGA and STRING). Overall survival (OS) and relapse-free survival (RFS) were determined via the KM-plotter analysis platform.

RESULTS

GRP94 is mutated in most cancer types, and the average mutation frequency is 1.1%. GRP94 expression in BC was in the middle of the expression levels of the analyzed cancer types. The protein level of GRP94 was significantly higher in BC tissues than in normal breast tissues. A high level of GRP94 was positively associated with the levels of PR and AR and negatively associated with the level of EGFR but was not associated with age, pathological types, pathological grades, clinical stages or the levels of ER, HER2, P53, Ki67, or CK5/6. High expression of GRP94 predicted decreased OS and RFS in BC. The cluster analysis of the GRP94 gene coexpression network showed six dominant biological events, including ribosome biogenesis, amino acid activation, ER stress, protein folding and protein localization to the nucleus, cell cycle processes and ubiquitin-protein ligase activity involved in the mitotic cell cycle.

CONCLUSIONS

The study suggests that GRP94 could be a potential prognostic factor in BC.

Caveolin-1 is a prognostic marker and suppresses the proliferation of breast cancer

Background

To explore the role of caveolin-1 (Cav-1) in breast cancer (BC).

Methods

Cav-1 expression data were downloaded from the Tumor Immune Estimation Resource (TIMER) and Gene Expression Omnibus (GEO) databases. We compared the expression of Cav-1 in different tumor tissues and between BC tissues and normal tissues (NTs), as well as the differences between different clinical traits. Kaplan-Meier survival analysis and univariate and multivariate Cox regression analyses were used to determine whether Cav-1 serves as a prognostic factor. The correlations of Cav-1 expression with the immune microenvironment and infiltrating immune cells were also analyzed. Quantitative polymerase chain reaction (qPCR) was used to detect Cav-1 mRNA expression in the MCF-7, SKB-R3, MDB-MB-231, and SUM-159 cell lines. LV-Cav-1-RNAi was transfected into MCF-7 and MDB-MB-231 cells, and the MTT assay was used to detect cell proliferation. Subsequently, MDB-MB-231 cells carrying the Cav-1-RNAi gene were used to determine the effects of Cav-1 knockdown on tumor growth in vivo using a severe combined immunodeficiency (SCID) model.

Results

Cav-1 was enriched in most solid tumors, and its expression was lower in BC tissues than in NT. Cav-1 expression was shown to be related to patients’ clinical outcomes. Cav-1 was expressed in the MCF-7, SKB-R3, MDB-MB-231, and SUM-159 cell lines. The MTT assay revealed that the proliferative ability of MDB-MB-231 and MCF-7 cells was accelerated. The tumor volume of SCID mice administered with LV-Cav-1-RNAi cells was increased.

Conclusions

These results suggest that Cav-1 may serve as a suppressor in the development of BC.

A comprehensive analysis of the diagnostic and prognostic value associated with the SLC7A family members in breast cancer

BACKGROUND

The solute carrier (SLC) 7 family genes play central roles in cancer cell metabolism as glucose and glutamate transporters. However, their expression and prognostic value in breast cancer (BC) remains to be elucidated.

METHODS

Clinical data from BC patients were downloaded from The Cancer Genome Atlas (TCGA) and the Kaplan-Meier (KM) plotter database. The mechanisms underlying the association between SLC7A expression and overall survival (OS) were explored using Cox regression and log-rank tests. ESTIMATE gives a measure of the immune-cell infiltrates. Single-sample (ss) Gene Set Enrichment Analysis (GSEA) was conducted to quantify immune cell infiltration.

RESULTS

High SLC7A5 expression was associated with a poorer survival time in BC patients according to the TCGA and KM plotter data. SLC7A4 was associated with good progression-free interval (PFI) and disease-specific survival (DSS) according to the TCGA data. Furthermore, SLC7A4 was correlated with good prognosis of OS, distant metastasis-free survival (DMFS), relapse-free survival (RFS), and post-progression survival (PPS) according to the KM plotter data. SLC7A3 expression was positively associated with OS, but was not strongly associated with PFI nor DSS in the TCGA data. However, SLC7A3 was positively correlated with DMFS and RFS in the KM database analysis. SLC7A had excellent diagnostic value in BC patients and was strongly correlated with tumor infiltration. T helper 2 (Th2) cells, CD56 bright natural killer (NK) cells, and NK cells were the most strongly correlated with the SLC7A family genes, suggesting that these genes play a crucial role in BC partly by modulating immune infiltration.

CONCLUSIONS

SLC7A4 and SLC7A5 expression levels may be sensitive biomarkers for predicting BC outcomes. SLC7A3 may be a potential diagnostic and prognostic biomarker in BC, but further studies are warranted to verify these results.

Breast Cancer Risk and Human Papillomavirus Infection: A Bradford Hill Criteria Based Evaluation

BACKGROUND

The association between human papillomavirus (HPV) and human breast cancer (BC) has already been thoroughly studied worldwide with contradictory findings. Although the researchers have tried to minimize the conflict using statistical meta-analysis, because of its shortcomings, there is still a need to evaluate the correlation between HPV and BC using any additional method.

OBJECTIVES

This study was launched to investigate the correlation between HPV and BC through the application of Bradford Hill criteria postulates.

METHODS

Population-wide studies associating HPV with BC were searched using the PubMed database. Then, the information of HPV burden in BC, normal/benign samples was analyzed, and ultimately Bradford Hill criteria postulates were applied on the collected evidence to explore the relationship between HPV and BC. In addition, to make the outcomes more authentic, we also reviewed the methodologies of previous studies to address the propensity of false results.

RESULTS

After a careful evaluation of the obtained data against major Bradford Hill criteria postulates, it was noted that all these postulates including strength, consistency, biological gradient, temporality, plausibility, experiment, specificity, and analogy were not fulfilled.

CONCLUSION

The results of the present study have failed to establish a casual association between HPV and BC rather suggested HPV as a cause-effective agent or at least a co-participant in the pathogenesis of BC. The weakness of association especially the low level of consistency across studies, and the lack of specificity of effect, there is a need for more experiments concerning Bradford Hill criteria postulates.

Is it time to consider the Androgen receptor as a therapeutic target in breast cancer?

Breast cancer (BC) is a heterogeneous disease and the most prevalent malignant tumor in women worldwide. The majority of BC cases are positive for estrogen receptor (ER) and progesterone receptor (PgR), both known to be involved in cancer pathogenesis, progression, and invasion. In line with this, hormonal deprivation therapy appears to be a useful tool and an effective treatment for these BC subtypes. Unfortunately, prognosis among patients with hormone-negative tumors or therapy-refractory and metastatic patients remains poor. Novel biomarkers are urgently needed in order to predict the course of the disease, make better therapy decisions and improve the overall survival of patients. In this respect, the androgen receptor (AR), a member of the hormonal nuclear receptor superfamily and ER and PgR, emerges as an interesting feature widely expressed in human BCs. Despite the advances, the precise tumorigenic mechanism of AR and the role of its endogenous ligands are yet not well-understood. In this review, we aim to elaborate on the prognostic impact of AR expression and current AR-targeting approaches based on previous studies investigating AR's role in different BC subtypes.