Triple-negative Breast Cancer Patients Research Articles

Prediction of early clinical response to neoadjuvant chemotherapy in Triple-negative breast cancer: Incorporating Radiomics through breast MRI

This study assessed pretreatment breast MRI coupled with machine learning for predicting early clinical responses to neoadjuvant chemotherapy (NAC) in triple-negative breast cancer (TNBC), focusing on identifying non-responders. A retrospective analysis of 135 TNBC patients (107 responders, 28 non-responders) treated with NAC from January 2015 to October 2022 was conducted. Non-responders were defined according to RECIST guidelines. Data included clinicopathologic factors and clinical MRI findings, with radiomics features from contrast-enhanced T1-weighted images, to train a stacking ensemble of 13 machine learning models. For subgroup analysis, propensity score matching was conducted to adjust for clinical disparities in NAC response. The efficacy of the models was evaluated using the area under the receiver-operating-characteristic curve (AUROC) before and after matching. The model combining clinicopathologic factors and clinical MRI findings achieved an AUROC of 0.752 (95% CI 0.644–0.860) for predicting non-responders, while radiomics-based models showed 0.749 (95% CI 0.614–0.884). An integrated model of radiomics, clinicopathologic factors, and clinical MRI findings reached an AUROC of 0.802 (95% CI 0.699–0.905). After propensity score matching, the hierarchical order of key radiomics features remained consistent. Our study demonstrated the potential of using machine learning models based on pretreatment MRI to non-invasively predict TNBC non-responders to NAC.

Is Oncoplastic Surgery Safe in High-Risk Breast Cancer Phenotypes?

Oncoplastic surgery (OPS) has increased in popularity over the recent years. It is a form of breast conservation surgery allowing for larger partial mastectomy (PM) resections followed by either volume displacement or volume replacement reconstruction techniques. However, there is a lack of evidence on the effectiveness and safety of OPS with radiotherapy (OPS + RT) in high-risk breast cancer phenotypes, such as triple negative breast cancer (TNBC) and HER2 positive (HER2+) patients. Our aim was to compare the breast cancer-specific survival (BCSS) and postoperative surgical complications in OPS + RT compared to PM alone with radiation (PM + RT) and total mastectomy (MTX) without radiotherapy (MTX-RT). Patient data were analyzed from the Surveillance, Epidemiology, and End Results (SEER) cancer registries from January 1, 2012 to December 31, 2020. Patients were stratified according to the type of surgery. Cox regression analysis was performed to assess prognostic factors of BCSS. A total of 24 621 patients with high-risk breast cancer phenotypes were identified, 180 underwent OPS + RT; 13 402, PM + RT; and 11 039 MTX-RT. OPS + RT was more frequently performed in younger (mean age of 65.53 years, SD: 9.29, p < 0.001), non-Hispanic White (90.5% vs. 77.7% vs. 76.3%) and single women (17.9% vs. 12.1% vs. 13.3%). MTX-RT was usually performed in patients with high histological grade, TNBC, and higher stages. Overall complication rates were higher in the MTX-RT, compared to OPS + RT and PM + RT, 2%, 1.1%, and 0.7%, respectively, p < 0.001. Rates of hematoma and surgical site infections were higher in the MTX-RT group. With a median follow-up of 46 months, OPS + RT had better BCSS rates at 5 years compared to PM + RT and MTX-RT (97.1% vs. 94.7% vs. 89.8%, p < 0.001). MTX-RT was found to be an independent prognostic factor of worse BCSS compared to OPS + RT (hazard ratio [HR] = 2.584; 95% confidence interval [CI]: 1.005-7.171), while PM + RT had no difference compared to OPS + RT (HR = 1.670, 95% CI: 0.624-4.469). OPS is a safe breast surgical option in patients with HER2+ and TNBC. Patients with high-risk phenotypes who underwent OPS + RT and have similar BCSS and complication rates compared to standard breast surgical options. As such, OPS should be considered as an option whenever breast conservation surgery is being discussed.

Integrated machine learning algorithms identify KIF15 as a potential prognostic biomarker and correlated with stemness in triple-negative breast cancer

Cancer stem cells (CSCs) have the potential to self-renew and induce cancer, which may contribute to a poor prognosis by enabling metastasis, recurrence, and therapy resistance. Hence, this study was performed to identify the association between CSC-related genes and triple-negative breast cancer (TNBC) development. Stemness gene sets were downloaded from StemChecker. Based on the online databases, a consensus clustering algorithm was conducted for unsupervised classification of TNBC samples. The variations between subtypes were assessed with regard to prognosis, tumor immune microenvironment (TIME), and chemotherapeutic sensitivity. The stemness-related gene signature was established and random survival forest analysis was employed to identify the core gene for validation experiments and tumor sphere formation assays. 499 patients with TNBC were classified into three subgroups and the Cluster 1 had a better OS than others. After that, WGCNA study was performed to identify genes important for Cluster 1 subtype. Out of all 8 modules, the subtype of Cluster 1 and the yellow module with 103 genes demonstrated the largest positive association. After that, a four-gene stemness-related signature was established. Based on the yellow module, the 39 potential pivotal genes were subjected to the random forest survival analysis to find out the gene that was relatively important for OS. KIF15 was confirmed as the targeted gene by LASSO and random survival forest analyses. In vitro experiments, the downregulation of KIF15 promoted the stemness of TNBC cells. The expression levels of stem cell markers Nanog, SOX2, and OCT4 were found to be elevated in TNBC cell lines after KIF15 inhibition. A stemness-associated risk model was constructed to forecast the clinical outcomes of TNBC patients. The downregulation of KIF15 expression in a subpopulation of TNBC stem cells may promote stemness and possibly TNBC progression.

Simultaneous Targeting of NQO1 and SOD1 Eradicates Breast Cancer Stem Cells via Mitochondrial Futile Redox Cycling.

Triple negative breast cancer (TNBC) contains the highest proportion of cancer stem-like cells (CSCs), which display intrinsic resistance to currently available cancer therapies. This therapeutic resistance is partially mediated by an antioxidant defense coordinated by the transcription factor NRF2 and its downstream targets including NQO1. Here, we identified the antioxidant enzymes NQO1 and SOD1 as therapeutic vulnerabilities of ALDH+ epithelial-like CSCs and CD24-/loCD44+/hi mesenchymal-like CSCs in TNBC. Effective targeting of these CSC states was achieved by utilizing IB-DNQ, a potent and specific NQO1-bioactivatable futile redox cycling molecule, which generated large amounts of reactive oxygen species (ROS) including superoxide and hydrogen peroxide. Furthermore, the CSC killing effect was specifically enhanced by genetic or pharmacological inhibition of SOD1, a copper-containing superoxide dismutase highly expressed in TNBC. Mechanistically, a significant portion of NQO1 resided in the mitochondrial intermembrane space, catalyzing futile redox cycling from IB-DNQ to generate high levels of mitochondrial superoxide, and SOD1 inhibition markedly potentiated this effect resulting in mitochondrial oxidative injury, cytochrome c release, and activation of the caspase 3-mediated apoptotic pathway. Treatment with IB-DNQ alone or together with SOD1 inhibition effectively suppressed tumor growth, metastasis, and tumor-initiating potential in xenograft models of TNBC expressing different levels of NQO1. This futile oxidant-generating strategy, which targets CSCs across the epithelial-mesenchymal continuum, could be a promising therapeutic approach for treating TNBC patients.

Three-dimensional analysis of mitochondria in a patient-derived xenograft model of triple negative breast cancer reveals mitochondrial network remodeling following chemotherapy treatments.

Mitochondria are hubs of metabolism and signaling and play an important role in tumorigenesis, therapeutic resistance, and metastasis in many cancer types. Various laboratory models of cancer demonstrate the extraordinary dynamics of mitochondrial structure, but little is known about the role of mitochondrial structure in resistance to anticancer therapy. We previously demonstrated the importance of mitochondrial structure and oxidative phosphorylation in the survival of chemotherapy-refractory triple negative breast cancer (TNBC) cells. As TNBC is a highly aggressive breast cancer subtype with few targeted therapy options, conventional chemotherapies remain the backbone of early TNBC treatment. Unfortunately, approximately 45% of TNBC patients retain substantial residual tumor burden following chemotherapy, associated with abysmal prognoses. Using an orthotopic patient-derived xenograft mouse model of human TNBC, we compared mitochondrial structures between treatment-naïve tumors and residual tumors after conventional chemotherapeutics were administered singly or in combination. We reconstructed 1,750 mitochondria in three dimensions from serial block-face scanning electron micrographs, providing unprecedented insights into the complexity and intra-tumoral heterogeneity of mitochondria in TNBC. Following exposure to carboplatin or docetaxel given individually, residual tumor mitochondria exhibited significant increases in mitochondrial complexity index, area, volume, perimeter, width, and length relative to treatment-naïve tumor mitochondria. In contrast, residual tumors exposed to those chemotherapies given in combination exhibited diminished mitochondrial structure changes. Further, we document extensive intra-tumoral heterogeneity of mitochondrial structure, especially prior to chemotherapeutic exposure. These results highlight the potential for structure-based monitoring of chemotherapeutic responses and reveal potential molecular mechanisms that underlie chemotherapeutic resistance in TNBC.

Mass Spectrometry-Based Proteomics for Classification and Treatment Optimisation of Triple Negative Breast Cancer.

Triple-negative breast cancer (TNBC) presents a significant medical challenge due to its highly invasive nature, high rate of metastasis, and lack of drug-targetable receptors, which together lead to poor prognosis and limited treatment options. The traditional treatment guidelines for early TNBC are based on a multimodal approach integrating chemotherapy, surgery, and radiation and are associated with low overall survival and high relapse rates. Therefore, the approach to treating early TNBC has shifted towards neoadjuvant treatment (NAC), given to the patient before surgery and which aims to reduce tumour size, reduce the risk of recurrence, and improve the pathological complete response (pCR) rate. However, recent studies have shown that NAC is associated with only 30% of patients achieving pCR. Thus, novel predictive biomarkers are essential if treatment decisions are to be optimised and chemotherapy toxicities minimised. Given the heterogeneity of TNBC, mass spectrometry-based proteomics technologies offer valuable tools for the discovery of targetable biomarkers for prognosis and prediction of toxicity. These biomarkers can serve as critical targets for therapeutic intervention. This review aims to provide a comprehensive overview of TNBC diagnosis and treatment, highlighting the need for a new approach. Specifically, it highlights how mass spectrometry-based can address key unmet clinical needs by identifying novel protein biomarkers to distinguish and early prognostication between TNBC patient groups who are being treated with NAC. By integrating proteomic insights, we anticipate enhanced treatment personalisation, improved clinical outcomes, and ultimately, increased survival rates for TNBC patients.

Association between pembrolizumab-related thyroid adverse events and outcomes in early-stage triple-negative breast cancer patients.

Pembrolizumab-related thyroid dysfunction has been associated with better outcomes in metastatic cancer patients. This study aims to examine the outcomes (pathological complete response (pCR) and event-free survival (EFS)) in early-stage triple-negative breast cancer (TNBC) patients receiving preoperative therapy who developed pembrolizumab-related thyroid dysfunction. Patients were divided into four groups based on the occurrence or not of pembrolizumab-related thyroid dysfunction (group A and D, respectively) and, in case of pre-existing thyroid disorder, based on the need for levothyroxine start/adjustment or not (group B and C, respectively). pCR and EFS in groups A, B, and C were compared to the ones in group D. Sixty-four early-stage TNBC patients were included, and the median follow-up was 16.5 months (IQR 12.0-23.8). Multiple patterns of thyroid irAEs were observed (overt hypothyroidism in 56.3%, subclinical thyrotoxicosis in 28.1%, overt thyrotoxicosis and subclinical hypothyroidism in 21.9%, and 21.9% of patients). No statistical difference was found in pCR (chi-square test, P = 0.611) comparing groups A, B, and C to group D. The median EFS in groups A, B, and C and in group D were 16.5 (IQR 12.0-24.0) and 16.0 (IQR 12.0-22.3) months, respectively (log-rank test, P = 0.671). The percentage of patients obtaining pCR was 85.7% in patients developing pembrolizumab-related overt thyrotoxicosis and 42.1% in remaining patients (chi-square test, P = 0.036). The EFS was 16.0 months (IQR 12.0-25.0) in patients developing pembrolizumab-related overt thyrotoxicosis and 16.0 months (IQR 12.0-23.5) in the remaining patients (log-rank test, P = 0.494). In conclusion, multiple patterns of pembrolizumab-related thyroid dysfunction occur in early-stage TNBC. Patients developing pembrolizumab-related overt thyrotoxicosis are more likely to achieve pCR.

Evaluation of prognostic risk factors of triple-negative breast cancer with 18F-FDG PET/CT parameters, clinical pathological features and biochemical indicators.

Breast cancer is a heterogeneous disease comprising various molecular subtypes, including Luminal A, Luminal B, human epidermal growth factor receptor-2 (HER2) positive, and triple negative types, each with distinct biological characteristics and behaviors. Triple negative breast cancer (TNBC) remains a particularly challenging subtype worldwide. Our study aims to evaluate whether Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (18F-FDG PET/CT) parameters, clinical pathological features, and biochemical indicators serve as prognostic risk factors for TNBC. Additionally, we explore correlations between biochemical indicators and 18F-FDG PET/CT parameters. We conducted a retrospective analysis of 95 TNBC patients who underwent preoperative 18F-FDG PET/CT examinations at Tianjin Medical University Cancer Institute and Hospital from 2013 to 2018. Collected data included 18F-FDG PET/CT parameters, clinical and pathological features, and biochemical indicators. We used Kaplan-Meier survival analysis and multivariate Cox regression analysis to evaluate associations between 18F-FDG PET/CT parameters/biochemical indicators and disease free survival (DFS)/overall survival (OS). The log-rank test determined significant differences in survival curves, and the Spearman correlation coefficient analyzed correlations between quantitative variables. Visualization and analysis were performed using R packages. Among 95 TNBC patients, mean standardized uptake value (SUVmean) was significantly correlated with DFS. Fasting blood glucose (FBG), α- L-fucosylase (AFU) and Creatine kinase (CK) were independent predictors of DFS, while Precursor albumin (PALB) and CK were independent predictors of OS. FBG showed correlations with SUVpeak and SUVmean, and CK was correlated with peak standardized uptake value (SUVpeak). Our results indicated that 18F-FDG PET/CT parameters and biochemical indicators may constitute a new prognostic model for TNBC patients post-surgery. We found that SUVmean, FBG, AFU and CK are predictive factors for DFS in TNBC patients post-surgery, while PALB and CK are predictive factors for OS, which prompts us to pay more attention to these indicators in clinical practice. Also 18F-FDG PET/CT parameters and biochemical indicators have potential utility in constituting a new prognostic model for TNBC patients post-surgery.

Efficacy and safety of PARPis combined with an ICIs for advanced or metastatic triple-negative breast cancer: a single-arm meta-analysis.

Although the intervention for triple-negative breast cancer (TNBC) patients has improved and survival time has increased, the combination of immune checkpoint inhibitors(ICIs) and PARP inhibitors (Poly ADP-Ribose Polymerase inhibitors, PARPis) is still controversial. Previous studies revealed that the combined use of ICIs and PARPis led to increased antitumor activity. However, most of these combined regimens are nonrandomized controlled trials with small sample sizes. The purpose of this meta-analysis was to evaluate the efficacy and safety of ICIs combined with PARPis in patients with advanced or metastatic TNBC. The PubMed, Embase, Cochrane Library and Web of Science databases were systematically searched. The results including the objective remission rate (ORR), disease control rate (DCR), progression-free survival (PFS) and adverse events (AEs), were subjected to further analysis. Four studies involving 110 subjects were included in this meta-analysis. The combined ORR and DCR were 23.6% and 53.6%, respectively; while the ORR and DCR of BRCAmut patients were 38.1% and 71.4%, respectively. The median PFS of the patients was 4.29 months. As for safety, the most common AEs were nausea (49.0%), anemia (44.3%) and fatigue (40.6%). Most of them were grade 1 or 2, and the incidence of adverse events ≥ III was obviously low. Except for anemia, the incidence of AEs ≥ III was < 10%. This meta-analysis revealed that the combination of ICIs and PARPis has good efficacy and safety for advanced or metastatic TNBC patients.

Treatment Outcomes after Postoperative Radiotherapy in Triple-Negative Breast Cancer: Multi-Institutional Retrospective Study (KROG 17-05).

We designed a multi-institutional retrospective study to investigate the previously unreported failure pattern, survivals, and prognostic factors after postoperative radiotherapy (PORT) in triple negative breast cancer (TNBC) patients in South Korea. We retrospectively reviewed 699 patients with TNBC who underwent PORT at six institutions between 2008 and 2010. The median follow-up period was 94 months (range: 7-192 months). There were 216, 380, and 100 patients in stages I, II, and III, respectively. After 94 months post-treatment, all patients with pathologic complete remission after neoadjuvant chemotherapy were alive without any failure. Distant metastasis was the main cause of failure. The 5-year overall survival rate was 91.4%, 5-year loco-regional relapse-free survival rate (LRRFS) was 92.3%, 5-year distant metastasis-free survival rate (DMFS) was 89.4%, and 5-year disease-free survival rate (DFS) was 85.2%. On multivariate (Cox) analysis, T and N stages were significant prognostic factors for survival, and lympho-vascular invasion (LVI) was a significant factor for LRRFS and DMFS. Ki-67 expression was significantly associated with LRRFS and DFS. We verified that T and N stages, LVI, and Ki-67 expression were significantly associated with survival outcomes after PORT in TNBC.

Cannabidiol enhances Atezolizumab efficacy by upregulating PD-L1 expression via the cGAS-STING pathway in triple-negative breast cancer cells.

The treatment of patients with triple negative breast cancer (TNBC) relies on cytotoxic therapy. Currently, atezolizumab and chemotherapy can be combined in patients with TNBC. However, this approach is not effective for all patients with low reactivity to atezolizumab. As there is a lack of alternative treatment options, new anti-cancer drugs are urgently needed to enhance atezolizumab reactivity against TNBC. Recent strategies have focused on regulating the expression of programmed death-ligand 1 (PD-L1) or enhancing immune response activation by combining anti-cancer drugs with immune checkpoint inhibitors (ICIs). Cannabidiol (CBD), a cannabinoid component derived from the cannabis plant, has been reported to have anti-cancer therapeutic potential because of its capacity to induce apoptotic cell death in tumor cells while avoiding cytotoxicity in normal cells. Previous studies have demonstrated the effects of CBD on apoptosis in various cancer cell types. However, the potential role of CBD as an immune modulator in the regulation of PD-L1 expression and anti-cancer immune responses remains to be explored. In this study, we found that CBD stimulated PD-L1 expression in TNBC cells, which significantly induced the CBD-mediated cGAS-STING pathway activation. Taken together, we demonstrated that the combination of CBD and anti-PD-L1 antibody enhances the anti-cancer immune response in vitro and in vivo experiments. Our findings identified the mechanism of PD-L1 regulation by CBD in TNBC cells and suggested that CBD could be a potential candidate for the development of new combinatorial strategies with ICIs in TNBC patients.

Low-pass whole genome sequencing of circulating tumor cells to evaluate chromosomal instability in triple-negative breast cancer

Chromosomal Instability (CIN) is a common and evolving feature in breast cancer. Large-scale Transitions (LSTs), defined as chromosomal breakages leading to gains or losses of at least 10 Mb, have recently emerged as a metric of CIN due to their standardized definition across platforms. Herein, we report the feasibility of using low-pass Whole Genome Sequencing to assess LSTs, copy number alterations (CNAs) and their relationship in individual circulating tumor cells (CTCs) of triple-negative breast cancer (TNBC) patients. Initial assessment of LSTs in breast cancer cell lines consistently showed wide-ranging values (median 22, range 4–33, mean 21), indicating heterogeneous CIN. Subsequent analysis of CTCs revealed LST values (median 3, range 0–18, mean 5), particularly low during treatment, suggesting temporal changes in CIN levels. CNAs averaged 30 (range 5–49), with loss being predominant. As expected, CTCs with higher LSTs values exhibited increased CNAs. A CNA-based classifier of individual patient-derived CTCs, developed using machine learning, identified genes associated with both DNA proliferation and repair, such as RB1, MYC, and EXO1, as significant predictors of CIN. The model demonstrated a high predictive accuracy with an Area Under the Curve (AUC) of 0.89. Overall, these findings suggest that sequencing CTCs holds the potential to facilitate CIN evaluation and provide insights into its dynamic nature over time, with potential implications for monitoring TNBC progression through iterative assessments.

Development and validation of a nomogram for predicting rapid relapse in triple-negative breast cancer patients treated with neoadjuvant chemotherapy.

Triple-negative breast cancer (TNBC) accounts for disproportionately poor outcomes in breast cancer, driven by a subset of rapid-relapse TNBC (rrTNBC) with marked chemoresistance, rapid metastatic spread, and poor survival. This study aimed to develop and validate a nomogram based on clinicopathological characteristics to predict rapid relapse in TNBC patients treated with neoadjuvant chemotherapy (NAC) first. The clinicopathological data of 504 TNBC patients treated with NAC first in Tianjin Medical University Cancer Hospital were analyzed retrospectively, with 109 rapid relapsed patients, and 395 non-rapid relapsed patients, respectively. Based on clinicopathologic characteristics, and follow-up data were analyzed. The independent predictors of clinicopathological characteristics were identified by logistic regression analysis and then used to build a nomogram. The concordance index (C-index), the area under the curve (AUC) of receiver operating characteristic (ROC), and calibration plots were used to evaluate the performance of the model. Univariate and multivariate logistic regression analyses showed that age at diagnosis (age≥50years, OR = 0.325,95% CI:0.137-0.771), Nodal staging (N3 staging, OR = 13.669,95% CI:3.693-50.592),sTIL expression levels (sTIL intermediate expression, OR = 0.272,95% CI:0.109-0.678; sTIL high expression, OR = 0.169,95% CI:0.048-0.594), and NAC response (ORR, OR = 0.059,95% CI:0.024-0.143) were independent predictors of rapid relapse in TNBC patients treated with NAC firstly. Among these independent predictors, age ≥ 50years, sTIL intermediate expression, sTIL high expression, and ORR in NAC were independent protective factors for rapid relapse in TNBC NAC patients. N3 staging was an independent risk factor for rapid relapse in TNBC NAC patients. The ROC curve, calibration curve, and decision curve analysis were used to validate the model. The C-Index of the training sets and validation sets were 0.938 and 0.910, respectively. The Brier scores of the training sets and validation sets were 0.076 and 0.097, respectively. This study developed and verified a nomogram for predicting rapid relapse in TNBC NAC patients, and the predictive model had high discrimination and accuracy.

The Prevalence of PD-L1 Expression in Triple-Negative Breast Cancer Patients and Its Correlation with Survival Rates and Other Prognostic Factors: A Survival Analysis.

Triple-negative breast cancer (TNBC) is a leading cause of cancer-related mortality among women, with a poor prognosis. The programmed cell death 1 (PD-1) pathway has emerged as a potential immunotherapy target. This study aimed to assess PD-L1 expression in TNBC patients and its relationship with prognostic variables. This cross-sectional study included 107 TNBC patients recruited between 2016 and 2020. Patient age, tumor grade, and Ki67 expression were obtained from pathology reports. Immunohistochemistry was utilized to determine PD-L1 status, and 2-year survival data were collected through telephone follow-up. PD-L1 expression frequency in TNBC patients was 76.6%. Grade 3 was the most common cancer grade, significantly more prevalent in the PD-L1 positive group (P = 0.01). High Ki67 expression (≥14%) was observed in 89% of patients, significantly higher in the PD-L1 positive group (P = 0.003). The 2-year survival rates for the PD-L1 positive and negative groups were 84.1% and 92%, respectively, with no significant difference between the groups (P = 0.512). This study investigated PD-L1 expression prevalence in TNBC patients and its correlation with prognostic variables. PD-L1 expression was associated with higher tumor grade and elevated Ki67 expression, indicating a potential role in tumor aggressiveness. However, despite these associations, PD-L1 expression did not significantly impact the 2-year survival rate in TNBC patients. These results emphasize the complexity of the immune microenvironment in TNBC and the necessity for further research to elucidate the precise role of PD-L1 in disease progression and patient outcomes.

Decreased Expression of CD247 and CD4 Immune Marker Predicts Poor Prognosis in Triple Negative Breast Cancer.

Triple negative breast cancer (TNBC) is an aggressive from of breast cancer and is associated with poor prognosis. Tumor microenvironment of breast cancer consists of a wide range of cell types, including tumor-infiltrating lymphocytes (TILs). Accumulating evidence indicate that TILs play a crucial role in cancer progression and resistance to standard chemotherapy. We used online computational tools to evaluate the prognostic significance of CD247 and CD4 in TNBC. TNBC patients with lower expression of CD247 and CD4 have much shorter relapse- free survival and overall survival than the patients with higher expression of these genes. CD247 and CD4 expression show a strong positive correlation with tumor-infiltrating dendritic cells, B-cells, CD4+, CD8+, and neutrophils. We've concluded that low levels of CD247 and CD4 may stop immune cells from entering the area around the tumor, which stops cancer cells from being killed and gives the patient a bad outlook. These findings suggest that CD247 and CD4 may be useful biomarkers or as a target to understand the progression of TNBC. Our findings also suggest that CD247 and CD4 targeted therapeutics should be explored in detail, and could be a potentially used as atreatment strategy for TNBC.

282P Impact of pembrolizumab on ovarian function in young triple negative breast cancer patients treated with chemo-immunotherapy

282P Impact of pembrolizumab on ovarian function in young triple negative breast cancer patients treated with chemo-immunotherapy

Mesenchymal-like immune-altered is the fourth robust triple-negative breast cancer molecular subtype.

Robust molecular subtyping of triple-negative breast cancer (TNBC) is a prerequisite for the success of precision medicine. Today, there is a clear consensus on three TNBC molecular subtypes: luminal androgen receptor (LAR), basal-like immune-activated (BLIA), and basal-like immune-suppressed (BLIS). However, the debate about the robustness of other subtypes is still open. An unprecedented number (n = 1942) of TNBC patient data was collected. Microarray- and RNAseq-based cohorts were independently investigated. Unsupervised analyses were conducted using k-means consensus clustering. Clusters of patients were then functionally annotated using different approaches. Prediction of response to chemotherapy and targeted therapies, immune checkpoint blockade, and radiotherapy were also screened for each TNBC subtype. Four TNBC subtypes were identified in the cohort: LAR (19.36%); mesenchymal stem-like (MSL/MES) (17.35%); BLIA (31.06%); and BLIS (32.23%). Regarding the MSL/MES subtype, we suggest renaming it to mesenchymal-like immune-altered (MLIA) to emphasize its specific histological background and nature of immune response. Treatment response prediction results show, among other things, that despite immune activation, immune checkpoint blockade is probably less or completely ineffective in MLIA, possibly caused by mesenchymal background and/or an enrichment in dysfunctional cytotoxic T lymphocytes. TNBC subtyping results were included in the bc-GenExMiner v5.0 webtool ( http://bcgenex.ico.unicancer.fr ). The mesenchymal TNBC subtype is characterized by an exhausted and altered immune response, and resistance to immune checkpoint inhibitors. Consensus for molecular classification of TNBC subtyping and prediction of cancer treatment responses helps usher in the era of precision medicine for TNBC patients.

174P Prognostic value of the immune and metabolic profile in the response to neoadjuvant treatment with ICIs in triple-negative breast cancer patients (TNBC)

174P Prognostic value of the immune and metabolic profile in the response to neoadjuvant treatment with ICIs in triple-negative breast cancer patients (TNBC)

265P Association of clinical benefit of adjuvant capecitabine and RCB class in triple negative breast cancer (TNBC) patients with residual disease following neoadjuvant chemotherapy

265P Association of clinical benefit of adjuvant capecitabine and RCB class in triple negative breast cancer (TNBC) patients with residual disease following neoadjuvant chemotherapy

284P Clinical and molecular characteristics of early-stage triple-negative breast cancer (eTNBC) patients with germline pathogenic variants in homologous recombination repair genes

284P Clinical and molecular characteristics of early-stage triple-negative breast cancer (eTNBC) patients with germline pathogenic variants in homologous recombination repair genes