Prognosis Of Triple-negative Breast Cancer Research Articles

Quantifying spatial CXCL9 distribution with image analysis predicts improved prognosis of triple-negative breast cancer.

Background: The C-X-C motif chemokine ligand 9 (CXCL9) plays a pivotal role in tumor immunity by recruiting and activating immune cells. However, the relationship between CXCL9 expression and prognosis in triple-negative breast cancer (TNBC) is unclear. Methods: We investigated CXCL9 mRNA expression, clinicopathological features, and prognosis in TNBC patients. We also used computational image analysis to quantify and assess the distribution of CXCL9 protein in the tumor core (TC) and invasive margin (IM). Results: CXCL9 mRNA expression was significantly higher in TNBC tumors compared to normal tissue (p < 0.001) and was associated with smaller tumors (p = 0.022) and earlier stages (p = 0.033). High CXCL9 mRNA expression was correlated with improved overall survival (OS) in three independent cohorts (all p < 0.05). In a separate analysis, low CXCL9 protein expression was associated with increased lymph node metastasis (p = 0.018 and p = 0.036). High CXCL9 protein expression in the TC, IM, or both was associated with prolonged OS (all p < 0.001). Conclusion: High CXCL9 expression, at both the mRNA and protein levels, is associated with improved prognosis in TNBC patients. CXCL9 expression in the TC and/or IM may be an independent prognostic factor.

Triple-negative breast cancer survival prediction: population-based research using the SEER database and an external validation cohort.

Triple-negative breast cancer (TNBC) is linked to a poorer outlook, heightened aggressiveness relative to other breast cancer variants, and limited treatment choices. The absence of conventional treatment methods makes TNBC patients susceptible to metastasis. The objective of this research was to assess the clinical and pathological traits of TNBC patients, predict the influence of risk elements on their outlook, and create a prediction model to assist doctors in treating TNBC patients and enhancing their prognosis. We included 23,394 individuals with complete baseline clinical data and survival information who were diagnosed with primary TNBC between 2010 and 2015 based on the SEER database. External validation utilised a group from The Affiliated Lihuili Hospital of Ningbo University. Independent risk factors linked to TNBC prognosis were identified through univariate, multivariate, and least absolute shrinkage and selection operator regression methods. These characteristics were chosen as parameters to develop 3- and 5-year overall survival (OS) and breast cancer-specific survival (BCSS) nomogram models. Model accuracy was assessed using calibration curves, consistency indices (C-indices), receiver operating characteristic curves (ROCs), and decision curve analyses (DCAs). Finally, TNBC patients were divided into groups of high, medium, and low risk, employing the nomogram model for conducting a Kaplan-Meier survival analysis. In the training cohort, variables such as age at diagnosis, marital status, grade, T stage, N stage, M stage, surgery, radiation, and chemotherapy were linked to OS and BCSS. For the nomogram, the C-indices stood at 0.762, 0.747, and 0.764 in forecasting OS across the training, internal validation, and external validation groups, respectively. Additionally, the C-index values for the training, internal validation, and external validation groups in BCSS prediction stood at 0.793, 0.755, and 0.811, in that order. The findings revealed that the calibration of our nomogram model was successful, and the time-variant ROC curves highlighted its effectiveness in clinical settings. Ultimately, the clinical DCA showcased the prospective clinical advantages of the suggested model. Furthermore, the online version was simple to use, and nomogram classification may enhance the differentiation of TNBC prognosis and distinguish risk groups more accurately. These nomograms are precise tools for assessing risk in patients with TNBC and forecasting survival. They can help doctors identify prognostic markers and create more effective treatment plans for patients with TNBC, providing more accurate assessments of their 3- and 5-year OS and BCSS.

The potential mechanism of HIF-1α and CD147 in the development of triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is a subtype of breast cancer with a poor prognosis, and the outcomes of common therapy were not favorable. The samples of 84 patients with TNBC and 40 patients with breast fibroadenoma were collected in the pathology department specimen library of our hospital. The prognosis of patients was obtained through outpatient follow-up information, telephone and WeChat contacts, and medical records. The mRNA expression was analyzed using bioinformation and quantitative real-time polymerase chain reaction (qPCR). The protein expression was determined by hematoxylin-eosin staining and immunohistochemical staining. The results of survival analysis were visualized using Kaplan-Meier curves. The immunohistochemical staining showed that hypoxia-inducible factor-1alpha (HIF-1α) was mainly distributed in the nucleus and cytoplasm, while CD147 is mainly distributed in cell membrane and cytoplasm. The qPCR results exhibited that the expression level of HIF-1α and CD147 in TNBC tissue was significantly higher than that in breast fibroadenoma tissue. The expression of HIF-1α was related to the histological grade and lymph node metastasis in TNBC, and the expression of CD147 was related to Ki-67, histological grade and lymph node metastasis. There was a positive relationship between the expression of CD147 and HIF-1α. The upregulated expression of CD147 was closely related to the poor prognosis of OS in TNBC. CD147 could be a biomarker for the prognosis of TNBC and closely related to the expression of HIF-1α.

DNA methylation-based biological age and time to relapse in triple negative breast cancer.

e13126 Background: Triple negative breast cancer (TNBC) represents 15% of all breast cancer cases and is one of the most aggressive forms of breast cancer with a poorer prognosis. Due to the lack of receptors, TNBC is not amendable to hormonal or anti-HER2 therapies and current gene expression arrays have limited clinical utility in TNBC. The identification of biomarkers associated with TNBC may aid in elucidating the underlying biological mechanisms of this disease and may also have implications for risk stratification, diagnosis, and prognosis of TNBC. The purpose of this study was to investigate the association between markers of biological aging and time to relapse in TNBC. Methods: DNA methylation and clinical data from a publicly available dataset (GSE141441) were used in this analysis. Breast tissue specimens in female TNBC patients who received (n=56) and who did not receive (n=110) chemotherapy underwent DNA methylation profiling using the Illumina Infinium HumanMethylation450K BeadChip. Five DNA methylation-based biological age metrics were calculated: intrinsic epigenetic age acceleration (IEAA), extrinsic epigenetic age acceleration (EEAA), PhenoAge acceleration (PhenoAA), GrimAge acceleration (GrimAA), and DunedinPACE (Pace of Aging Calculated from the Epigenome). Multiple linear and quantile regression analyses were performed to examine the association between the aging metrics and time to TNBC relapse. Interaction and stratified analyses by Ki-67 was additionally performed. Results: After adjusting for chronological age, GrimAA ( P=0.024) and DunedinPACE ( P=0.019) were negatively associated with time to relapse among patients who did not receive chemotherapy. Specifically, a 1-year increase in GrimAA and 1 unit increase in the pace of aging were associated with a 1.77-month and a 53.62-month shorter relapse of TNBC, respectively. Additionally, Ki-67 significantly modified the association between IEAA ( P=0.023) and DunedinPACE ( P=0.035) among patients who received chemotherapy with a 2.75- and a 42.17-month shorter relapse of TNBC among those with a Ki-67 index greater than 50% per unit increase in IEAA and DunedinPACE, respectively. Conclusions: We observed DNA methylation markers of biological age were associated with time to relapse in TNBC patients and these associations were modified by Ki-67. These biomarkers may have prognostic utility in TNBC relapse and potentially, may aid in oncological precision medicine efforts for personalized treatment regimens and surveillance. [Table: see text]

Real world outcomes of 2,339 patients with early-stage triple-negative breast cancer (TNBC) treated in British Columbia.

e23274 Background: TNBC represents 15-20% of all breast cancers, and tends to exhibit more aggressive features, more frequent distant metastasis and overall worse prognosis than other breast cancer subtypes. The treatment landscape for early-stage TNBC has changed considerably in the last decade, with new additions to neoadjuvant therapy (NAT) aimed at improving pathologic responses and outcomes. In this study, we assess real world data regarding treatment and outcomes in those with early-stage TNBC. Methods: The BC Cancer Breast Cancer Outcomes Unit database contains prospectively collected data on patients residing in British Columbia and diagnosed with breast cancer since 1989. This retrospective study evaluated patients diagnosed with stage I-III TNBC from 2010 to 2019. During this era, regimens containing anthracyclines and taxanes were routinely used. TNBC was defined as per ASCO-CAP guidelines as ER≤1%, PR≤1% and negative HER 2 (0, 1+ by immunohistochemistry, or 2+ ISH negative). Outcomes of interest included event free survival (EFS), overall survival (OS), and pathologic complete response (pCR). Results: 2,339 patients withstage I-III TNBC were identified with a mean follow up of 6.5 years. OS was 87% (95% CI 85-88%) at 3-years and 79% (95% CI 77-80%) at 5-years. The presenting stage was a significant prognostic factor, with 5-year EFS of 89%, 81% and 51%- and 5-year OS of 90%, 80%, and 53% for stages I, II, and III, respectively. There was an increase in NAT use in 2019 (n = 82/230,35.7%) when compared to 2010 (n = 20/227, 8.8%). The most common neoadjuvant regimens used included anthracycline and taxane chemotherapies (n = 343,81.4%), with only a small number receiving neoadjuvant platinum chemotherapy (n = 52, 12.4%). Pathological complete response (pCR) was achieved in 24.5% (103/421) of patients who received NAT. Patients with pCR had improved 5- year EFS (91% vs. 57%, HR 0.26 [95% CI 0.15-0.45]) and 5-year OS (90% vs. 59%, HR 0.26 [95% CI 0.15-0.45]) compared to those with residual disease. The subgroup that received salvage capecitabine had a poor 3-year EFS at 22% but was enriched for patients with residual nodal disease after NAT (n = 77/130, 59.2%). Conclusions: This real-world study of TNBC in the era prior to routine immunotherapy (IO), highlights the poor prognosis of TNBC, particularly patients with locally advanced disease and those who did not achieve pCR, despite adjuvant capecitabine. This stresses the need for advances in NAT and salvage therapies for TNBC with residual disease at high risk of recurrence. [Table: see text]

Identification of disulfidptosis-related clusters and construction of a disulfidptosis-related gene prognostic signature in triple-negative breast cancer

ObjectiveThis study aimed to explore disulfidptosis-related clusters of triple-negative breast cancer (TNBC) and build a reliable disulfidptosis-related gene signature for forecasting TNBC prognosis. MethodsThe disulfidptosis-related clusters of TNBC were identified based on public datasets, and a comparative analysis was conducted to assess their differences in the overall survival (OS) and immune cell infiltration. Morever, the differentially expressed genes (DEGs) between clusters were recognized. Then, the prognostic DEGs were then chosen. A prognostic signature was constructed by the prognostic DEGs, followed by nomogram construction, drug sensitivity, immune correlation, immunotherapy response prediction, and cluster association analyses. ResultsTwo disulfidptosis-related clusters of TNBC were identified, which had different OS and macrophage infiltration. Moreover, 235 DEGs were identified between two clusters. A prognostic signature was then constructed by five prognostic DEGs including HLA-DQA2, CCL13, GBP1, LAMP3, and SLC7A11. This signature was highly valuable in predicting prognosis. A nomogram was built by risk score and AJCC stage, which could forecast OS accurately. Moreover, patients with high-risk scores exhibited greater sensitivity to chemotherapy drugs such as lapatinib and had a lower immunotherapy response. ConclusionsTwo TNBC clusters linked to disulfidptosis were identified, with different OS and immune cell infiltration. Moreover, a five-disulfidptosis-related gene signature may be a powerful prognostic biomarker for TNBC.

MIF as a potential diagnostic and prognostic biomarker for triple-negative breast cancer that correlates with the polarization of M2 macrophages.

Macrophage migration inhibitory factor (MIF) is a proinflammatory cytokine that plays a crucial role in antitumor immunity. However, the role of MIF in influencing the tumor microenvironment (TME) and prognosis of triple-negative breast cancer (TNBC) remains to be elucidated. Using R, we analyzed single-cell RNA sequencing (scRNA-seq) data of 41 567 cells from 10 TNBC tumor samples and spatial transcriptomic data from two patients. Relationships between MIF expression and immune cell infiltration, clinicopathological stage, and survival prognosis were determined using samples from The Cancer Genome Atlas (TCGA) and validated in a clinical cohort using immunohistochemistry. Analysis of scRNA-seq data revealed that MIF secreted by epithelial cells in TNBC patients could regulate the polarization of macrophages into the M2 phenotype, which plays a key role in modulating the TME. Spatial transcriptomic data also showed that epithelial cells (tumor cells) and MIF were proximally located. Analysis of TCGA samples confirmed that tumor tissues of patients with high MIF expression were enriched with M2 macrophages and showed a higher T stage. High MIF expression was significantly associated with poor patient prognosis. Immunohistochemical staining showed high MIF expression was associated with younger patients and worse clinicopathological staging. MIF secreted by epithelial cells may represent a potential biomarker for the diagnosis and prognosis of TNBC and may promote TNBC invasion by remodeling the tumor immune microenvironment.

Role of ICAM-1 in triple-negative breast cancer.

Intercellular adhesion molecule-1 (ICAM-1) is related to the occurrence and development of a variety of tumors. However, the role of ICAM-1 in the regulation of growth, metastasis, and clinical prognosis of the specific molecular subtypes of breast cancer, triple-negative breast cancer (TNBC), remains to be elucidated. This study explored the role of ICAM-1 in breast cancer and its triple-negative subtypes by systematic bioinformatics methods. The results showed that the expression of ICAM-1 in breast cancer tissues was significantly higher than that in normal tissues, especially in TNBC subtypes. In breast cancer, ICAM-1 mainly activates pathways related to apoptosis and epithelial-mesenchymal transition, while its overexpression in TNBC is associated with inflammatory response, apoptosis, and other processes. TNBC patients displaying higher ICAM-1 expression demonstrate enhanced responses to immunotherapy. High ICAM-1 expression is sensitive to drugs targeting tumor cell proliferation, apoptosis, and angiogenesis. In conclusion, breast cancer is characterized by significantly high expression of ICAM-1, with TNBC subtypes expressing ICAM-1 at much higher levels than other subtypes. The diagnosis, prognosis, development, distant metastases, and immunotherapy of TNBC are correlated with high expression of ICAM-1. This research provides available data for the further study of the diagnosis and treatment of TNBC.

High MAL2 expression predicts shorter survival in women with triple-negative breast cancer

IntroductionDue to its lack of conventional surface receptors, triple-negative breast cancer (TNBC) is inherently resistant to most targeted therapies. MAL2 overexpression prompts endocytosis, conferring resistance to novel therapeutics. This study explores the role of MAL2 and PD-L1 in TNBC patients’ prognosis.MethodsWe performed immunohistochemical analysis on 111 TNBC samples collected from 76 patients and evaluated the expression of MAL2 and PD-1. We expanded the study by including The Cancer Genome Atlas (TCGA) cohort.ResultsMAL2 expression did not correlate with stage, grade, tumor size, lymph node invasion, metastasis, and PD-1 expression. Patients with high MAL2 had significantly lower 5-year survival rates (71.33% vs. 89.59%, p = 0.0224). In the tissue microarray cohort (TMA), node invasions, size, recurrence, and low MAL2 (HR 0.29 [CI 95% 0.087–0.95]; p < 0.05) predicted longer patients’ survival. In the TCGA cohort, patients with low MAL2 had significantly longer overall survival and disease-specific survival than patients with high MAL2. Older age and high MAL2 expression were the only independent predictors of shorter patient survival in the BRCA TCGA cohort.ConclusionHigh MAL2 predicts unfavorable prognosis in triple-negative breast cancer, and its expression is independent of PD-1 levels and clinicopathological features of TNBC.

Novel markers of MCL1 inhibitor sensitivity in triple-negative breast cancer cells

Triple-negative breast cancer (TNBC) is an aggressive breast cancer sub-type with limited treatment options and poor prognosis. Currently, standard treatments for TNBC include surgery, chemotherapy, and anti-PDL1 therapy. These therapies have limited efficacy in advanced stages. Myeloid-cell leukemia 1 (MCL1) is an anti-apoptotic BCL2 family protein. High expression of MCL1 contributes to chemotherapy resistance and is associated with a worse prognosis in TNBC. MCL1 inhibitors are in clinical trials for TNBC, but response rates to these inhibitors can vary and predictive markers are lacking. Currently, we identified a 4-member (AXL, ETS1, IL6, EFEMP1) gene signature (GS) that predicts MCL1 inhibitor sensitivity in TNBC cells. Factors encoded by these genes regulate signaling pathways to promote MCL1 inhibitor resistance. Small molecule inhibitors of the GS factors can overcome resistance and sensitize otherwise resistant TNBC cells to MCL1 inhibitor treatment. These findings offer insights into potential therapeutic strategies and tumor stratification for MCL1 inhibitor use in TNBC.

Retraction Note: Ensemble learning-based gene signature and risk model for predicting prognosis of triple-negative breast cancer.

Retraction Note: Ensemble learning-based gene signature and risk model for predicting prognosis of triple-negative breast cancer.

Comprehensive characterization of stemness-related lncRNAs in triple-negative breast cancer identified a novel prognostic signature related to treatment outcomes, immune landscape analysis and therapeutic guidance: a silico analysis with in vivo experiments

BackgroundCancer stem cells (CSCs) and long non-coding RNAs (lncRNAs) are known to play a crucial role in the growth, migration, recurrence, and drug resistance of tumor cells, particularly in triple-negative breast cancer (TNBC). This study aims to investigate stemness-related lncRNAs (SRlncRNAs) as potential prognostic indicators for TNBC patients.MethodsUtilizing RNA sequencing data and corresponding clinical information from the TCGA database, and employing Weighted Gene Co-expression Network Analysis (WGCNA) on TNBC mRNAsi sourced from an online database, stemness-related genes (SRGs) and SRlncRNAs were identified. A prognostic model was developed using univariate Cox and LASSO-Cox analysis based on SRlncRNAs. The performance of the model was evaluated using Kaplan–Meier analysis, ROC curves, and ROC-AUC. Additionally, the study delved into the underlying signaling pathways and immune status associated with the divergent prognoses of TNBC patients.ResultsThe research identified a signature of six SRlncRNAs (AC245100.6, LINC02511, AC092431.1, FRGCA, EMSLR, and MIR193BHG) for TNBC. Risk scores derived from this signature were found to correlate with the abundance of plasma cells. Furthermore, the nominated chemotherapy drugs for TNBC exhibited considerable variability between different risk score groups. RT-qPCR validation confirmed abnormal expression patterns of these SRlncRNAs in TNBC stem cells, affirming the potential of the SRlncRNAs signature as a prognostic biomarker.ConclusionThe identified signature not only demonstrates predictive power in terms of patient outcomes but also provides insights into the underlying biology, signaling pathways, and immune status associated with TNBC prognosis. The findings suggest the possibility of guiding personalized treatments, including immune checkpoint gene therapy and chemotherapy strategies, based on the risk scores derived from the SRlncRNA signature. Overall, this research contributes valuable knowledge towards advancing precision medicine in the context of TNBC.

Abstract PO1-07-04: Multiomics analysis reveals the landscape of PD-L1 expression in triple-negative breast cancer

Abstract Background: Tumor-infiltrating lymphocytes (TILs) and programmed death ligand 1 (PD-L1) remain controversial in predicting clinical outcomes of triple-negative breast cancer (TNBC), as outcomes do not always correlate with the expression of these biomarkers. Genomic and transcriptomic alterations that might contribute to the expression of these biomarkers remain incompletely uncovered. Methods: We evaluated PD-L1 immunohistochemistry (IHC) scores (SP142 and 28-8) and TILs in our TNBC multiomics dataset and two immunotherapy clinical trial cohorts. Then, we analyzed genomic and transcriptomic alterations correlated with TILs, PD-L1 expression and patient outcomes. Results: Despite TILs serving as a decent predictor for TNBC clinical outcomes, there remained exceptions. Our study revealed that several genomic alterations were correlated with unexpected events. Particularly, PD-L1 expression may cause a paradoxical relationship between TILs and prognosis in certain patients. Consequently, we classified TNBCs into four groups based on PD-L1 and TIL levels. The TIL-PD-L1+ and TIL+PD-L1- groups were not typical “hot” tumors; both were associated with worse prognoses and lower immunotherapy efficacy than TIL+PD-L1+ tumors. Copy number variation of PD-L1 and oncogenic signaling activation were correlated with PD-L1 expression in the TIL-PD-L1+ group, whereas GSK3B-induced degradation might cause undetectable PD-L1 expression in the TIL+PD-L1- group. These factors have the potential to affect the predictive function of both PD-L1 and TILs. Conclusions: Several genomic and transcriptomic alterations may cause paradoxical effects among TILs, PD-L1 expression and prognosis in TNBC. Investigating and targeting these factors will advance precision immunotherapy for TNBC patients. Keywords: Triple-negative breast cancer, PD-L1 expression, Tumor-infiltrating lymphocytes, Multiomics, Immunotherapy Citation Format: Han Wang, Xiao-Hong Ding, Cheng-Lin Liu, Yi Xiao, Ruo-Hong Shui, Yan-Ping Li, Chen Chen, Wen-Tao Yang, Zhi-Ming Shao, Yi-Zhou Jiang. Multiomics analysis reveals the landscape of PD-L1 expression in triple-negative breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-07-04.

Abstract PO1-28-10: Tumor Infiltrating Lymphocytes identify patients with stage I TNBC with excellent outcome without chemotherapy

Abstract Introduction International guidelines recommend chemotherapy for most patients with stage I triple negative breast cancer (TNBC), except for special histological subtypes. However, the absolute benefit of systemic treatment for all stage I TNBC patients is not well known and no tools are yet available to select patients with an excellent prognosis for whom the chemotherapy can be safely omitted. High levels of stromal tumor infiltrating lymphocytes (sTILs) are strongly associated with favorable prognosis in TNBC, however, data solely focusing on patients with stage I TNBC who did not receive chemotherapy are lacking. Methods Patients with pT1N0M0 TNBC diagnosed between 2005 and 2015 not treated with (neo)adjuvant chemotherapy were identified from the nationwide Netherlands Cancer Registry (NCR) and linked to the national pathology database (PALGA). Newly sectioned hematoxylin &amp; eosin (H&amp;E) slides were used for central review of the histology and sTILs scoring following the International TIL working group guidelines (www.tilsinbreastcancer.org). Cause of death was provided by Statistics Netherlands (CBS). Primary endpoint was breast-cancer specific survival (BCSS) at 5-, 10- and 15-years for prespecified sTILs cut-offs of 30%, 50% and 75% sTILs. Results sTILs were evaluated for 1,041 patients with stage I TNBC who did not receive (neo)adjuvant chemotherapy. Mean age at diagnosis was 64.4 years [range 26 – 96] and median sTILs value was 5%. Most tumors (91.5%) were invasive ductal adenocarcinomas of no special type (NST) and 6.6% were of histological special types. In 52% of the patients the tumor was &amp;gt;1cm (pT1cN0). Median follow-up was 9.4 years in which 335 patients had died, of whom 107 due to breast cancer. Patients with pT1abN0 tumors had a favorable prognosis compared with patients with a pT1cN0 tumor (HR 0.47, CI 0.32- 0.72). 10-year BCSS in patients with pT1ab was 91.8% and 85.8% in patients with pT1c tumors. In the overall cohort, sTILs-levels of at least 30% were associated with better BCSS compared to sTILs &amp;lt; 30% (HR 0.45, CI 0.26 – 0.77), with 10year-BCSS of 96% and 87%, respectively (table 1). Patients with TNBC of special histological subtype had low sTILs (median 1%). A univariate cox model showed no association between sTILs (continuous) and BCSS in TNBC of special histological subtype (p = 0.56). Next, the prognostic value of sTILs was evaluated separately for pT1ab and pT1c. High sTILs ≥50% were not associated with improved BCSS compared to low sTILs &amp;lt; 50% in patients with pT1ab (HR 1.35, CI 0.65 – 2.82, p = 0.42). In contrast, high sTILs ≥50% showed a strong prognostic importance over low sTILs &amp;lt; 50% (HR 0.27, CI 0.10 – 0.74) in patients with pT1C tumors. We found excellent 10year-BCSS of 95% for patients if sTILs ≥50%, which further increases to 98% with sTILs ≥75% contrasting 10year-BCSS of 83% for patients with sTILs &amp;lt; 30%. Conclusions sTILs-levels provide important prognostic information in patients with stage I TNBC who did not receive (neo)adjuvant chemotherapy. The outcome of patients with pT1c TNBC and sTILs ≥50% was excellent, with 10year-BCSS of 95%, and 98% if sTILs &amp;gt;75%. This large registry study provides a foundation for clinical trials in patients with stage I TNBC with high TILs to prospectively confirm their excellent survival without chemotherapy. Citation Format: Veerle Geurts, Sara Balduzzi, Hugo Horlings, Tessa G Steenbruggen, Sabine Siesling, Sylvia Adams, Gabe Sonke, Roberto Salgado, Marleen Kok. Tumor Infiltrating Lymphocytes identify patients with stage I TNBC with excellent outcome without chemotherapy [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-28-10.

Chlorin Conjugates in Photodynamic Chemotherapy for Triple-Negative Breast Cancer.

Breast cancer (BC) is the most common type of cancer in women and the number of new cases in the US is still increasing each year. Triple-negative breast cancer (TNBC), which comprises 15-20% of all breast cancer, is a heterogeneous disease and is considered the most aggressive type of breast cancer due to the lack of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expressions for treatments. Traditional chemotherapy is the standard protocol for the treatment of TNBC. Toxicity and multidrug resistance are major drawbacks to chemotherapy. The lack of molecular targets and poor prognosis for TNBC prompts an urgent need to discover novel therapeutic strategies to improve clinical outcomes and quality of life for patients. Photodynamic therapy (PDT) or light treatment is a binary anti-cancer procedure that uses a photosensitizer (PS) that, upon light activation, produces cytotoxic oxygen species, destroying tumor cells. PDT is minimally invasive and can be repeated a few times without accumulating significant toxicity in the surrounding tissues. The primary goal of this study was to investigate in vitro photodynamic chemotherapy as a ternary combination therapy using our synthesized photosensitizers (chlorin-vitamin conjugates and their corresponding indium complexes) co-treated with known chemotherapeutic agents (taxol, doxorubicin, cisplatin, fluorouracil, or methotrexate) in the presence of light and determine the optimum conditions as a pre-clinical study of an enhanced tumoricidal effect against TNBC. Our results indicated that the best combination for an effective chemophotodynamic effect involves a ternary treatment of the indium complex of the chlorin-lipoic acid conjugate (InCLA) co-treated with taxol, which exhibited strong synergism at the nanomolar concentration when combined in the presence of visible light irradiation. Other ternary combinations containing taxol with a synergistic anti-tumor effect against TNBC include chlorin-pantothenic acid (CPA) and chlorin-biotin (CBTN) conjugates. Several other ternary combinations containing InCLA, CBTN, and CPA with either cisplatin, fluorouracil, or methotrexate were identified to generate a synergistic or additive effect. The light dosage remained constant, but the dosages of photosensitizers and chemotherapy drugs were varied to obtain the lowest possible concentration for the desired effect. The synergistic, additive or antagonistic effects of the drug combinations were determined based on the Chou-Talalay method, with InCLA-taxol having the lowest combination index (CI) of 0.25. Fluorescence and transmission electron microscopy (TEM) images provided evidence of apoptosis as the preferred mode of cell death. Our study demonstrated the combination of PDT and chemotherapy as a potential treatment option for TNBC patients.

HISTOPATHOLOGICAL PARAMETERS AND INTRATUMORAL LYMPHOCYTES: CORRELATION WITH SURVIVAL OUTCOMES IN TRIPLE-NEGATIVE BREAST CANCER - A COMPREHENSIVE RETROSPECTIVE ANALYSIS

OBJECTIVE: Triple-negative breast cancer (TNBC) is a subtype characterized by aggressive tumor behavior and limited treatment options. This study aimed to investigate the relationship among age, pathological stage, proliferative index, presence of tumor infiltrating lymphocytes (TILs), and survival outcomes in TNBC. MATERIAL AND METHODS: Tumoral slides and blocks of 31 patients with triple negative breast cancer were retrieved from the pathology archive and retrospectively re-evaluated. The relationship among patient age, histopathological subtype of the tumor, tumor grade, lymph node grade, Ki-67 proliferation index and survival was evaluated. TILs were scored as mild, moderate and severe and the relationship with survival was evaluated. RESULTS: Regarding age and tumor stage, there was no significant correlation found (p=0,81 and p=0,89 respectively). However, when analyzing the N stage, a clear association was observed, with a higher proportion of patients aged 65 years or older displaying advanced N3 stage breast cancer (p=0.000013). A significant relationship was found between TILs and the Ki-67 proliferative index, with cases exhibiting high TILs also demonstrating a high proliferative index (p=0.003). Furthermore, increased TIL concentration was associated with a positive response to therapy and improved overall survival in TNBC patients (p=0.001). CONCLUSIONS: These findings emphasize the importance of considering age, pathological stage, proliferative index, and the presence of TILs in TNBC prognosis. Evaluation of TILs in routine histopathologic examination and inclusion in pathology reports, particularly in postmenopausal patients, could provide valuable information for future studies and guide treatment decisions. Additional research on immune-modulating therapies targeting TILs may hold promise for improving outcomes in TNBC patients.

High MCM6 expression promotes proliferation and correlates with poor prognosis in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is an aggressive subtype with a poor prognosis. Minichromosome maintenance genes (MCM2-7) crucial for DNA replication are significant biomarkers for various tumor types; however, their roles in TNBC remain underexplored. We utilized four TNBC-related GEO databases to examine MCM2-7 gene expression and predict its prognosis in TNBC, performing single-cell analysis and GSEA to discover MCM6's potential function. The Cancer Dependency Map gene effect scores and CCK8 assay were used to assess MCM6's impact on TNBC cell proliferation. The correlations between MCM6 expression, immune infiltrates, and immune cells were also analyzed. WGCNA and LASSO Cox regression built a risk score model predicting TNBC patient survival based on MCM6-related gene expression. MCM2-7 gene expression was higher in TNBC tissues compared to adjacent normal tissues. High MCM6 expression correlated with shorter TNBC patient survival time. GSEA and single-cell analysis revealed a relationship between elevated MCM6 expression and the cell cycle pathway. MCM6 knockdown inhibited TNBC cell proliferation. A risk model featuring MCM6, CDC23, and CCNB1 effectively predicts TNBC patient survival. MCM6 overexpression in TNBC links to a worse prognosis and reduced cell proliferation upon MCM6 knockdown. We developed a risk score model based on MCM6-related genes predicting TNBC patient prognosis, potentially assisting future treatment strategies.

CircRNA (circ)_0007823 Contributes to Triple-Negative Breast Cancer Progression and Cisplatin Resistance via the miR-182-5p/FOXO1 Pathway.

Cisplatin (DDP) is used for the clinical management of triple-negative breast cancer (TNBC). However, the development of drug resistance limits its therapeutic efficacy. Circular RNAs (circRNAs) are known to be involved in tumor DDP resistance. In our previous study, we reported that circ_0007823 expression is downregulated and correlated with adverse prognosis in TNBC. However, its association with DDP resistance remains unclear. This study aimed to determine the role of circ_0007823 and miR-182-5p in DDP-resistant TNBC and explore the underlying mechanisms. First, expression profiles circ_0007823, microRNA (miR)-182-5p, and forkhead box O1 (FOXO1) in TNBC cells were determined. Additionally, biological characteristics of cells, including apoptosis, cell cycle, proliferation, and migration, were analyzed using various assays. Luciferase reporter and rescue assays were used to determine the correlations among circ_0007823, miR-182-5p, and FOXO1 expression. MiR-182-5p was overexpressed in DDP-resistant TNBC cells. MiR-182-5p knockdown suppressed the invasiveness and increased the apoptosis of drug-resistant cells, contributing to G1 arrest and S phase reduction. Mechanistically, circ_0007823 targeted miR-182-5p, and its overexpression drastically reduced the promotional effects of the miR-182-5p mimic on the aggression and transfer ability of drug-resistant cells. Furthermore, FOXO1 overexpression increased the sensitivity of cells to DDP and reduced their malignant progression. Therefore, FOXO1 was established as the downstream target of miR-182-5p that may be used to treat DDP-resistant TNBC. In summary, circ_0007823 overexpression attenuated DDP resistance in TNBC via the miR-182-5p-FOXO1 axis, indicating the therapeutic potential of circ_0007823 DDP-resistant TNBC treatment.

Stromal B Lymphocytes Affecting Prognosis in Triple-Negative Breast Cancer by Opal/TSA Multiplexed Immunofluorescence.

Immune cells play a key role in tumor microenvironment. The purpose of this study was to investigate the infiltration and clinical indication of immune cells including their combined prognostic value in microenvironment of triple negative breast cancer. We investigated 100 patients with triple negative breast cancer by Opal/Tyramide Signal Amplification multispectral immunofluorescence between 2003 and 2017 at Zhejiang Provincial people's Hospital. Intratumoral and stromal immune cells of triple negative breast cancer were classified and quantitatively analyzed. Survival outcomes were compared using the Kaplan-Meier method and further analyzed with multivariate analysis. Infiltration level of stromal B lymphocytes, stromal and intratumoral CD8+ T cells, stromal CD4+ T cells, stromal PD-L1 and intratumoral tumor associated macrophages 2 cells were shown as independent factors affecting disease-free survival and overall survival in univariate analysis. Stromal B lymphocytes, T stage, N stage and pathological type were independent predictive factors for both DFS and OS in multivariate analysis. We firstly found that patients with B lymphocytes-enriched subtypes have a better prognosis than those with T lymphocytes-enriched subtypes and tumor-associated macrophage-enriched subtypes. The present study identified a bunch of immune targets and subtypes, which could be exploited in future combined immunotherapy/chemotherapy strategies for triple negative breast cancer patients.

The HLA-I landscape confers prognosis and antitumor immunity in breast cancer.

Breast cancer is a highly heterogeneous disease with varied subtypes, prognoses and therapeutic responsiveness. Human leukocyte antigen class I (HLA-I) shapes the immunity and thereby influences the outcome of breast cancer. However, the implications of HLA-I variations in breast cancer remain poorly understood. In this study, we established a multiomics cohort of 1156 Chinese breast cancer patients for HLA-I investigation. We calculated four important HLA-I indicators in each individual, including HLA-I expression level, somatic HLA-I loss of heterozygosity (LOH), HLA-I evolutionary divergence (HED) and peptide-binding promiscuity (Pr). Then, we evaluated their distribution and prognostic significance in breast cancer subtypes. We found that the four breast cancer subtypes had distinct features of HLA-I indicators. Increased expression of HLA-I and LOH were enriched in triple-negative breast cancer (TNBC), while Pr was relatively higher in hot tumors within TNBCs. In particular, a higher Pr indicated a better prognosis in TNBCs by regulating the infiltration of immune cells and the expression of immune molecules. Using the matched genomic and transcriptomic data, we found that mismatch repair deficiency-related mutational signature and pathways were enriched in low-Pr TNBCs, suggesting that targeting mismatch repair deficiency for synthetic lethality might be promising therapy for these patients. In conclusion, we presented an overview of HLA-I indicators in breast cancer and provided hints for precision treatment for low-Pr TNBCs.