Human Epidermal Receptor Research Articles

Breast MRI radiomics and machine learning radiomics-based predictions of response to neoadjuvant chemotherapy - how are they affected by variations in tumour delineation?

Manual delineation of volumes of interest (VOIs) by experts is considered the gold-standard method in radiomics analysis. However, it suffers from inter- and intra-operator variability. A quantitative assessment of the impact of variations in these delineations on the performance of the radiomics predictors is required to develop robust radiomics based prediction models. In this study, we developed radiomics models for the prediction of pathological complete response to neoadjuvant chemotherapy in patients with two different breast cancer subtypes based on contrast-enhanced magnetic resonance imaging acquired prior to treatment (baseline MRI scans). Different mathematical operations such as erosion, smoothing, dilation, randomization, and ellipse fitting were applied to the original VOIs delineated by experts to simulate variations of segmentation masks. The effects of such VOI modifications on various steps of the radiomics workflow, including feature extraction, feature selection, and prediction performance, were evaluated. Using manual tumour VOIs and radiomics features extracted from baseline MRI scans, an AUC of up to 0.96 and 0.89 was achieved for human epidermal growth receptor 2 positive and triple-negative breast cancer, respectively. For smoothing and erosion, VOIs yielded the highest number of robust features and the best prediction performance, while ellipse fitting and dilation lead to the lowest robustness and prediction performance for both breast cancer subtypes. At most 28% of the selected features were similar to manual VOIs when different VOI delineation data were used. Differences in VOI delineation affects different steps of radiomics analysis, and their quantification is therefore important for development of standardized radiomics research.

Thermo- and pH-responsive targeted lipid-coated mesoporous nano silica platform for dual delivery of paclitaxel and gemcitabine to overcome HER2-positive breast cancer

In the current study, a new monoclonal antibody conjugated dual stimuli lipid-coated mesoporous silica nanoparticles (L-MSNs) platform was developed and investigated for specific co-delivery of the paclitaxel (PTX) and gemcitabine (Gem) to cancer cells and preventing their side effects during the treatment process. First, MSNs were synthesized and then coated with as-prepared pH-, and thermo-sensitive niosomes to produce L-MSNs. For this aim, Dipalmitoylphosphatidylcholine (DPPC) was used to create thermo-sensitivity, and 1, 2-Distearoyl-sn-glycerol-3-phosphoethanolamine -Citraconic Anhydride-Polyethylene Glycol (DSPE-CA-PEG) polymers were prepared and incorporated to the lipid layer for creation of pH-sensitivity. In the next step, trastuzumab as a monoclonal antibody (mAb) was conjugated to the maleimide groups of the 1, 2-Distearoyl-sn-glycerol-3-phosphoethanolamine DSPE-polyethylene glycol (PEG)-maleimide agents in the lipid bilayer via a disulfide bond. Dynamic light scattering (DLS) and zeta potential measurements, Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), Brunauer-Emmett-Teller (BET), and scanning electron microscopy (SEM) analyses were utilized to characterize the synthesized particles before and after surface modification. The encapsulation efficiency (EE%) and loading efficiency (LE%) of the particles were also evaluated. Additionally, the drug release study and MTT assay were done to evaluate the bioactivity potential of the fabricated platforms. The results of DLS and zeta potential measurements revealed an average size of 200 nm and a neutral zeta potential of about −1 mV for mAb-L-MSNs. Also, the FTIR spectra confirmed the formation of mAb-L-MSNs. Moreover, SEM analysis showed spherical-shaped MSNs with amorphous structure confirmed by XRD analysis, and BET test revealed ∼ 820 m2/g specific surface area and pore about 5 nm in size. The values of EE% and LE% of PTX were 90.3 % and 26.7 %, while these values for GEM were 89.5 % and 38.8 % in the co-loaded form, respectively. The thermo-pH-sensitivity examination showed approximately 500 nm of size increase after the change of pH and temperature from 7.4 and 37˚C to 5 and 42˚C. The release profile showed a pH-, and thermo-dependence manner, which led to about 89 % and 95 % of PTX and GEM released from the co-loaded platform at a pH of 5 and 42 °C while these values were 31.1 % and 32.2 % at pH of 7.4 and 37˚C, respectively. MTT assay data presented that when the mAb-L-co-loaded-MSNs platform containing 250 µg/mL drug was used, about 92 % of cells died in human epidermal receptors (HER2)-positive breast cancer cells (SKBR3), while just about 4 % of HER2-negative normal cells were killed. However, the growth inhibition rate of SKBR3 cells was caused by empty-mAb-L-MSNs, pure PTX and GEM combination were 9 % and 87 %, respectively. Moreover, the half inhibitory concentration (IC50) of the pure PTX, pure GEM, and mAb-coloaded-L-MSNs were 33, 17.6, and 6.5 µg/mL. The synergic effect of co-encapsulation of PTX and GEM in addition to trastuzumab conjugated L-MSNs was confirmed by a combinational index (CI) of 0.34. Therefore, this strategy leads to specific targeted drug delivery to cancer cells using a key-lock interaction between the trastuzumab and HER-2 receptors on the cancer cell membrane which stimuli the endocytosis of the particles to the cells followed by the destruction of the lipid layer in the acidic pH and the temperature of the lysosome, leading to enhanced release of PTX and GEM (pH of 5 and 42˚C). So, this platform can be considered a suitable carrier for cancer treatment.

Nomogram prediction of the 70-gene signature (MammaPrint) binary and quartile categorized risk using medical history, imaging features and clinicopathological data among Chinese breast cancer patients

BackgroundThe 70-gene signature (70-GS, MammaPrint) test has been recommended by the main guidelines to evaluate prognosis and chemotherapy benefit of hormonal receptor positive human epidermal receptor 2 negative (HR + /Her2−) early breast cancer (BC). However, this expensive assay is not always accessible and affordable worldwide. Based on our previous study, we established nomogram models to predict the binary and quartile categorized risk of 70-GS.MethodsWe retrospectively analyzed a consecutive cohort of 150 female patients with HR + /Her2− BC and eligible 70-GS test. Comparison of 40 parameters including the patients’ medical history risk factors, imaging features and clinicopathological characteristics was performed between patients with high risk (N = 62) and low risk (N = 88) of 70-GS test, whereas risk calculations from established models including Clinical Treatment Score Post-5 years (CTS5), Immunohistochemistry 3 (IHC3) and Nottingham Prognostic Index (NPI) were also compared between high vs low binary risk of 70-GS and among ultra-high (N = 12), high (N = 50), low (N = 65) and ultra-low (N = 23) quartile categorized risk of 70-GS. The data of 150 patients were randomly split by 4:1 ratio with training set of 120 patients and testing set 30 patients. Univariate analyses and multivariate logistic regression were performed to establish the two nomogram models to predict the the binary and quartile categorized risk of 70-GS.ResultsCompared to 70-GS low-risk patients, the high-risk patients had significantly less cardiovascular co-morbidity (p = 0.034), more grade 3 BC (p = 0.006), lower progesterone receptor (PR) positive percentage (p = 0.007), more Ki67 high BC (≥ 20%, p < 0.001) and no significant differences in all the imaging parameters of ultrasound and mammogram. The IHC3 risk and the NPI calculated score significantly correlated with both the binary and quartile categorized 70-GS risk classifications (both p < 0.001). The area under curve (AUC) of receiver-operating curve (ROC) of nomogram for binary risk prediction were 0.826 (C-index 0.903, 0.799–1.000) for training and 0.737 (C-index 0.785, 0.700–0.870) for validation dataset respectively. The AUC of ROC of nomogram for quartile risk prediction was 0.870 (C-index 0.854, 0.746–0.962) for training and 0.592 (C-index 0.769, 0.703–0.835) for testing set. The prediction accuracy of the nomogram for quartile categorized risk groups were 55.0% (likelihood ratio tests, p < 0.001) and 53.3% (p = 0.04) for training and validation, which more than double the baseline probability of 25%.ConclusionsTo our knowledge, we are the first to establish easy-to-use nomograms to predict the individualized binary (high vs low) and the quartile categorized (ultra-high, high, low and ultra-low) risk classification of 70-GS test with fair performance, which might provide information for treatment choice for those who have no access to the 70-GS testing.

Discrimination between human epidermal growth factor receptor 2 (HER2)-low-expressing and HER2-overexpressing breast cancers: a comparative study of four MRI diffusion models.

To determine the value of conventional DWI, continuous-time random walk (CTRW), fractional order calculus (FROC), and stretched exponential model (SEM) in discriminating human epidermal growth factor receptor 2 (HER2) status of breast cancer (BC). This prospective study included 158 women who underwent DWI, CTRW, FROC, and SEM and were pathologically categorized into the HER2-zero-expressing group (n = 10), HER2-low-expressing group (n = 86), and HER2-overexpressing group (n = 62). Nine diffusion parameters, namely ADC, αCTRW, βCTRW, DCTRW, βFROC, DFROC, μFROC, αSEM, and DDCSEM of the primary tumor, were derived from four diffusion models. These diffusion metrics and clinicopathologic features were compared between groups. Logistic regression was used to determine the optimal diffusion metrics and clinicopathologic variables for classifying the HER2-expressing statuses. Receiver operating characteristic(ROC) curves were used to evaluate their discriminative ability. The estrogen receptor (ER) status, progesterone receptor (PR) status, and tumor size differed between HER2-low-expressing and HER2-overexpressing groups (p < 0.001 to p = 0.009). The αCTRW, DCTRW, βFROC, DFROC, μFROC, αSEM, and DDCSEM were significantly lower in HER2-low-expressing BCs than those in HER2-overexpressing BCs (p < 0.001 to p = 0.01). Further multivariable logistic regression analysis showed that the αCTRW was the single best discriminative metric, with an area under the curve (AUC) being higher than that of ADC (0.802 vs. 0.610, p < 0.05); the addition of ER status, PR status, and tumor size to the αCTRW improved the AUC to 0.877. The αCTRW could help discriminate the HER2-low-expressing and HER2-overexpressing BCs. Human epidermal growth factorreceptor 2 (HER2)-low-expressing breast cancer (BC) might also benefit from the HER2-targeted therapy. Prediction of HER2-low-expressing BC or HER2-overexpressing BC is crucial for appropriate management. Advanced continuous-time random walk diffusion MRI offers a solution to this clinical issue. • Human epidermal receptor 2 (HER2)-low-expressing BC had lower αCTRW, DCTRW, βFROC, DFROC, μFROC, αSEM, and DDCSEM values compared with HER2-overexpressing breast cancer. • The αCTRW was the single best diffusion metric (AUC = 0.802) for discrimination between the HER2-low-expressing and HER2-overexpressing breast cancers. • The addition of αCTRW to the clinicopathologic features (estrogen receptor status, progesterone receptor status, and tumor size) further improved the discriminative ability.

Synthesized Anti-HER2 Trastuzumab-MCC-DM1 Conjugate: An Evaluation of Efficacy and Cytotoxicity.

Trastuzumab is a humanized monoclonal antibody that targets site-specifically human epidermal growth factor-2 receptor (HER2) cell surface antigen overexpressed in approximately 20% of human breast carcinomas. Despite its positive therapeutic outcomes, a large proportion of individuals are unresponsive to the treatment with the trastuzumab or develop resistance to it. To evaluate a chemically synthesized trastuzumab-based antibody-drug conjugate (ADC) to improve the trastuzumab therapeutic index. The current study explored the physiochemical characteristics of the trastuzumab conjugated to a cytotoxic chemotherapy agent DM1 via Succinimidyl 4-(N-maleimidomethyl) cyclohexane-1-carboxylate (SMCC) linker, created in our earlier study, using SDS-PAGE, UV/VIS, and RP-HPLC analyses. The antitumor effects of the ADCs were analyzed using MDA-MB-231 (HER2-negative) and SK-BR-3 (HER2-positive) cell lines utilizing in vitro cytotoxicity, viability, and binding assays. Three different formats of a HER2-targeting agent: trastuzumab, synthesized trastuzumab-MCC-DM1, and commercially available drug T-DM1 (Kadcyla®) were compared. UV-VIS spectroscopic analysis showed that the trastuzumab-MCC-DM1 conjugates, on average, entailed 2.9 DM1 payloads per trastuzumab. A free drug level of 2.5% was determined by RP-HPLC. The conjugate appeared as two bands on a reducing SDS-PAGE gel. MTT viability assay showed that conjugating trastuzumab with DM1 significantly improved the antiproliferative effects of this antibody in vitro. Importantly, the evaluations using LDH release and cell apoptosis assays confirmed that trastuzumab maintains its ability to induce cell death response while conjugating with the DM1. The binding efficiency of trastuzumab-MCC-DM1 was comparable to that of the naked trastuzumab. Trastuzumab-MCC-DM1 was found effective against HER2+ tumors. The potency of this synthesized conjugate brings it closer to the commercially available T-DM1.

A Double-blind Randomized Comparative Phase I Study to Assess Biosimilarity and Immunogenicity of "Trastuzumab" (LLC "Mabscale", Russia) and Herceptin® (F. Hoffmann-La Roche Ltd., Switzerland) in Healthy Volunteers

Introduction. Trastuzumab is the first drug based on the monoclonal antibodies’ technology targeted to the neu oncogene expression product discovered in the middle 80-s – human epidermal growth receptor, HER2. After being approved trastuzumab had become the drug of choice for combine therapy of metastatic breast cancer (BC). This therapy had also allowed to improve patients’ 5-year survival rate dramatically, almost up to 90 % in some cases. Despite the fact that more than 10 biosimilars of trastuzumab are now in the pipeline around the world, including Russia, the development and registration of trastuzumab biosimilars still remain relevant.Aim. Aim of the study was to conduct the analytical part of the double-blind randomized comparative clinical trial for trastuzumab pharmacokinetics and safety assessment in healthy volunteers with subsequent biosimilarity evaluation of "Trastuzumab" (LLC "Mabscale", Russia) and Herceptin® (F. Hoffmann-La Roche Ltd., Switzerland).Materials and methods. 92 healthy volunteers, who fulfilled the inclusion/exclusion criteria, were enrolled to the study. Trastuzumab quantitation and anti-trastuzumab antibodies detection was performed using ELISA method with photometric detection. To support the clinical trial two different independent bioanalytical methods were validated.Results and discussion. Trastuzumab quantitation method in human blood serum was validated for selectivity, calibration curve and regression model, sensitivity (LLOQ), accuracy and precision, MRD, dilution linearity and stability. The method for anti-trastuzumab antibodies detection, that was previously described by the authors, was validated for cut-point, selectivity, sensitivity, prozone effect, drug tolerance, precision and stability (short-term and long-term). The validated methods were successfully applied to the study samples assay to perform the analytical part of the comparative study for trastuzumab pharmacokinetics and immunogenicity assessment. The obtained drug concentrations were used for PK-parameters and confidence interval calculations to estimate the biosimilarity of test and reference drug.Conclusion. The study results showed that test and reference drug are biosimilar, and moreover immunogenicity assessment showed no anti-trastuzumab antibodies in any samples of healthy volunteers.

A Review on Biomarkers for Predicting Radioresistance and Role of Natural Radiosensitizers in Triple-Negative Breast Cancer

Breast cancer mortality rate is fifth among all cancer and increasing day by day due to modern lifestyles. Its molecular subtype is classified as per their significant receptor expression, such as estrogen receptor (ER), progesterone receptor (PR) &amp; human epidermal growth receptor 2 (Her2). Triple-negative breast cancer (TNBC) is an aggressive subgroup among breast cancer subtypes and clinically challenging to treat due to loss of all three receptor (ER/PR/Her2) expression. Treatment modalities of TNBC include surgery, chemotherapy, radiotherapy and immunotherapy. Postoperative radiation therapy (RT) improves locoregional control and overall survival in TNBC patients. The powerful ionizing radiation (IR) response to RT is contributed by the inherent radiosensitivity of the tumor, which is influenced by genes associated with the cell cycle, DNA damage repair, apoptosis, etc. This review article narrates the role of biomarkers obtained through data mining and manual curation of published literature to predict radioresistance in patients receiving radiotherapy. Further, the role of natural radiosensitizers in overcoming radioresistance for effectively managing TNBC is also discussed.

Atezolizumab in the treatment of patients with breast cancer

Immunotherapy is a modern method of treatment which is being tested in breast cancer patients. The first approved drug in this group was atezolizumab introduced for the treatment of patients with locally advanced and inoperable or metastatic triple-negative breast cancer (TNBC) with expression of programmed death receptor type 1 (PD-L1) on immunologic cells (IC) of ≥1%, who had not received prior chemotherapy for advanced disease. The results of the registration study IMpassion130 indicated that atezolizumab improved patient outcomes when used in combination with nab-paclitaxel. This article summarizes the most important analyzes of that study. The necessity to use the validated VENTANA SP142 assay to assess PD-L1 expression, which is necessary for the qualification of patients for this therapy, was emphasized. Additionally, the available data on the first results of the studies in patients with early TNBC as well as with human epidermal receptor type 2 (HER2)-positive and estrogen receptor (ER)-positive HER2-negative cancers treated with atezolizumab are discussed.

Efficient Convolution Network to Assist Breast Cancer Diagnosis and Target Therapy.

Breast cancer is the leading cause of cancer-related deaths among women worldwide, and early detection and treatment has been shown to significantly reduce fatality rates from severe illness. Moreover, determination of the human epidermal growth factor receptor-2 (HER2) gene amplification by Fluorescence in situ hybridization (FISH) and Dual in situ hybridization (DISH) is critical for the selection of appropriate breast cancer patients for HER2-targeted therapy. However, visual examination of microscopy is time-consuming, subjective and poorly reproducible due to high inter-observer variability among pathologists and cytopathologists. The lack of consistency in identifying carcinoma-like nuclei has led to divergences in the calculation of sensitivity and specificity. This manuscript introduces a highly efficient deep learning method with low computing cost. The experimental results demonstrate that the proposed framework achieves high precision and recall on three essential clinical applications, including breast cancer diagnosis and human epidermal receptor factor 2 (HER2) amplification detection on FISH and DISH slides for HER2 target therapy. Furthermore, the proposed method outperforms the majority of the benchmark methods in terms of IoU by a significant margin (p<0.001) on three essential clinical applications. Importantly, run time analysis shows that the proposed method obtains excellent segmentation results with notably reduced time for Artificial intelligence (AI) training (16.93%), AI inference (17.25%) and memory usage (18.52%), making the proposed framework feasible for practical clinical usage.

Surrogate endpoints for HTA decisions of breast cancer drugs: utility and pitfalls.

Health technology assessment (HTA) of cancer drugs is important to identify whether drugs should be publicly funded. With increasing use of surrogate end points in clinical trials including breast cancer, a review of literature was done to synthesize evidence for validation of these surrogate end points and their potential role in HTA decisions pertaining to breast cancer. Disease free survival (DFS) in human epidermal receptor 2 (HER2) positive early breast cancer remains the only validated surrogate end point. Other surrogate end points like pathological complete response (pCR) and event free survival (EFS) in early breast cancer (EBC) and objective response rate (ORR) and progression free survival (PFS) in advanced disease have not been validated for overall survival (OS). Moreover, surrogate end points for quality of life (QOL) have not been established and drugs that improve PFS can have detrimental effect on QOL. End points like pCR have excellent prognostic utility in individual patients but have weak correlation with survival at trial level. Most surrogate end points used in breast cancer do not predict OS or QOL which makes it challenging to use them for decisions regarding public funding of cancer drugs. These findings are relevant to HTA agencies prior to making drug reimbursement decisions.

HER2-Positive Gastric Cancer: The Role of Immunotherapy and Novel Therapeutic Strategies.

Gastric cancer is an aggressive disease with increasing global incidence in recent years. Human epidermal growth receptor 2 (HER2) is overexpressed in approximately 10-20% of gastric cancers. The implementation of targeted therapy against HER2 as part of the standard of care treatment in metastatic disease has improved the prognosis of this subset of patients. However, gastric cancer still has high mortality rates and urgently requires new treatment strategies. The combination of immunotherapy with HER2-targeted therapies has shown synergistic effects in preclinical models, this being the rationale behind exploring this combination in clinical trials in locally advanced and metastatic settings. Additionally, the irruption of antibody-drug conjugates and other novel HER2-targeted agents has led to the development of numerous clinical trials showing promising results. This review presents the molecular mechanisms supporting the use of HER2-targeted drugs in combination with immunotherapy and provides an overview of the therapeutic scenario of HER2-positive disease. We focus on the role of immunotherapy but also summarize emerging therapies and combinations under clinical research that may change the standard treatment in HER-2 positive disease in the future.

Intratumor spatial heterogeneity in programmed death-ligand 1 (PD-L1) protein expression in early-stage breast cancer.

Programmed death-ligand 1 (PD-L1) expression is required for benefit from immune checkpoint inhibitors in metastatic triple negative breast cancer (TNBC). In contrast, in the neoadjuvant setting patients benefited regardless of PD-L1 expression. We hypothesized that, in stages II-III breast cancers, low levels of PD-L1 expression may be sufficient to confer sensitivity to therapy and focal expression could be missed by a biopsy. In this study, we examined intratumor spatial heterogeneity of PD-L1 protein expression in multiple biopsies from different regions of breast cancers in 57 primary breast tumors (n = 33 TNBC, n = 19 estrogen receptor-positive [ER-positive], n = 5 human epidermal receptor 2-positive [HER2 +]). E1L3N antibody was used to assess PD-L1 status and staining was scored using the combined positivity score (CPS) with PD-L1 positive defined as CPS ≥ 10. Overall, 19% (11/57) of tumors were PD-L1 positive based on positivity in at least 1 biopsy. Among TNBC, PD-L1 positivity was 27% (9/33). The discordance rate, defined as the same tumor yielding PD-L1 positive and negative samples in different regions, was 16% (n = 9) in the whole study population and 23% (n = 7) in TNBC. Cohen's kappa coefficient of agreement was 0.214 for the whole study and 0.239 for TNBC, both of which falling into a non-statistically significant fair agreement range. Among all PD-L1 positive cases, 82% (n = 9/11) had positivity in only one of the tissue assessments. These results indicate that the overall 84% concordance is driven by concordant negative results. In PD-L1 positive cancers, within-tumor heterogeneity in PD-L1 expression exists.

Aminosteroid RM-581 Decreases Cell Proliferation of All Breast Cancer Molecular Subtypes, Alone and in Combination with Breast Cancer Treatments.

Breast cancer (BC) is a heterogenous disease classified into four molecular subtypes (Luminal A, Luminal B, HER2 and triple-negative (TNBC)) depending on the expression of the estrogen receptor (ER), the progesterone receptor (PR) and the human epidermal receptor 2 (HER2). The development of effective treatments for BC, especially TNBC, remains a challenge. Aminosteroid derivative RM-581 has previously shown an antiproliferative effect in multiple cancers in vitro and in vivo. In this study, we evaluated its effect in BC cell lines representative of BC molecular subtypes, including metastatic TNBC. We found that RM-581 has an antiproliferative effect on all BC molecular subtypes, especially on Luminal A and TNBC, in 2D and 3D cultures. The combination of RM-581 and trastuzumab or trastuzumab-emtansine enhanced the anticancer effect of each drug for HER2-positive BC cell lines, and the combination of RM-581 and taxanes (docetaxel or paclitaxel) improved the antiproliferative effect of RM-581 in TNBC and metastatic TNBC cell lines. We also confirmed that RM-581 is an endoplasmic reticulum (EnR)-stress aggravator by inducing an increase in EnR-stress-induced apoptosis markers such as BIP/GRP78 and CHOP and disrupting lipid homeostasis. This study demonstrates that RM-581 could be effective for the treatment of BC, especially TNBC.

Treatment Algorithm for Patients With Gastric Adenocarcinoma: Austrian Consensus on Systemic Therapy - An Update.

Over the last decade, therapeutic options for patients with gastric cancer have improved significantly. However, despite these recent advances, mortality is still substantial. Surgery and chemotherapy represent the cornerstones of patient management. Immune checkpoint inhibitors as well as targeted treatments such as HER2-directed therapies and antiangiogenic agents contribute to improved patient prognosis. Herein, we present the updated version of an Austrian consensus on the systemic treatment of patients with gastric adenocarcinoma and adenocarcinoma of the lower gastroesophageal junction, including those with human epidermal growth receptor 2 (HER2) overexpression, microsatellite instability, programmed death-ligand 1 (PD-L1)-positive disease, and claudin 18.2 positivity. The consensus considers the curative setting as well as first-line and later-line systemic treatment options in advanced disease. For HER2-positive disease, HER2 testing is discussed in addition to a review of first-line and later-line therapies. Potential future therapies are also listed, with a focus on targeted [e.g., fibroblast growth factor receptor 2 (FGRF2)-directed] treatments that might provide a further step forward in the management of patients with gastric cancer.

Efficacy and safety of inetetamab-containing regimens in patients with HER2-positive metastatic breast cancer: a real-world retrospective study in China.

Inetetamab (cipterbin) is an innovative anti-HER2 humanized monoclonal antibody. The efficacy and safety of a combination of inetetamab and vinorelbine in the first-line treatment of human epidermal receptor positive (HER2+) metastatic breast cancer (MBC) have been confirmed. We aimed to investigate real-world data of inetetamab in complex clinical practice. We retrospectively reviewed the medical records of patients who received inetetamab as a salvage treatment at any line setting from July 2020 to June 2022. The main endpoint was progression-free survival (PFS). A total of 64 patients were included in this analysis. The median progression-free survival (mPFS) was 5.6 (4.6-6.6) months. Of the patients, 62.5% received two or more lines of therapy before treatment with inetetamab. The most common chemotherapy and anti-HER2 regimens combined with inetetamab were vinorelbine (60.9%) and pyrotinib (62.5%), respectively. Patients treated with inetetamab plus pyrotinib plus vinorelbine benefited the most (p=0.048), with the mPFS of 9.3 (3.1-15.5) months and an objective response rate of 35.5%. For patients with pyrotinib pretreatment, inetetamab plus vinorelbine plus pyrotinib agents resulted in mPFS of 10.3 (5.2-15.4) months. Regimens (inetetamab plus vinorelbine plus pyrotinib vs. other therapeutic agents) and visceral metastases (yes vs. no) were independent predictors of PFS. Patients with visceral metastases treated with inetetamab plus vinorelbine plus pyrotinib had a mPFS of 6.1(5.1-7.1) months. The toxicity of inetetamab was tolerable, with the most common grade 3/4 adverse event being leukopenia (4.7%). HER2+ MBC patients pretreated with multiple-line therapies still respond to inetetamab-based treatment. Inetetamab combined with vinorelbine and pyrotinib may be the most effective treatment regimen, with a controllable and tolerable safety profile.

Neoadjuvant Pyrotinib plus Trastuzumab, Docetaxel, and Carboplatin in Early or Locally Advanced Human Epidermal Receptor 2-Positive Breast Cancer in China: A Multicenter, Randomized, Double-Blind, Placebo-Controlled Phase 2 Trial

Introduction: This multicenter, randomized, double-blind, placebo-controlled phase 2 trial compared the efficacy, and safety of adding pyrotinib to trastuzumab, docetaxel, and carboplatin versus placebo, trastuzumab, docetaxel, and carboplatin in Chinese patients with human epidermal receptor 2 (HER2)-positive early or locally advanced breast cancer (<ext-link ext-link-type="uri" xlink:href="http://ClinicalTrials.gov" xmlns:xlink="http://www.w3.org/1999/xlink">ClinicalTrials.gov</ext-link> identifier: NCT03756064). Methods: Sixty-nine women with HER2-positive early (T1-3, N0-1, M0) or locally advanced breast cancer (T2-3, N2 or N3, M0; T4, any N, M0) were recruited from October 1, 2019, to June 1, 2021. Before surgery, patients received 6 cycles of orally pyrotinib (400 mg once per day), trastuzumab (8-mg/kg loading dose and 6-mg/kg maintenance doses), docetaxel (75 mg/m²), and carboplatin (AUC = 6 mg/mL·min) or orally placebo, trastuzumab, and docetaxel, and carboplatin every 3 weeks. The primary end point was independent review committee-assessed total pathologic complete response rate. The 2-sided Cochran-Mantel-Haenszel test, stratified by age, hormone receptor status, tumor stage, nodal status, cTNM stage, and Ki-67 level was used to compare rates between treatment groups. Results: In total, 69 female patients were randomized (pyrotinib, 36; and placebo, 33; median age, 53 [31–69] years). In the intention-to-treat population, total pathologic complete response rates were 65.5% (19/29) in the pyrotinib group and 33.3% (10/30) in the placebo group (difference, 32.2%, p = 0.013). Diarrhea was been reported in 86.1% of patients (31/36) in the pyrotinib group as the most common adverse events (AEs) and 15.2% of patients (5/33) in the placebo group. But no grade 4 or 5 AEs were reported. Conclusion: Treatment with pyrotinib, trastuzumab, docetaxel, and carboplatin resulted in a statistically significant improvement in the total pathologic complete response rate versus placebo, trastuzumab, docetaxel, and carboplatin for the neoadjuvant treatment of HER2-positive early or locally advanced breast cancer in Chinese patients. Safety data were in line with the known pyrotinib safety profile and generally comparable between treatment groups.

Breast cancer diagnosis and prognosis using a high b-value non-Gaussian continuous-time random-walk model

To compare the diagnostic performance of mono-exponential model-derived apparent diffusion coefficient (ADC), continuous-time random-walk (CTRW) model-derived Dm, α, β and their combinations in discriminating malignancy of breast lesions, and investigate the association between model-derived parameters and prognosis-related immunohistochemical indices. A total of 85 patients with breast lesions (51 malignant, 34 benign) were analysed in this retrospective study. Clinical characteristics include oestrogen receptor (ER), progesterone receptor (PR), human epidermal receptor 2 (HER2), and Ki-67. The ADC was fitted using a mono-exponential model (b-values=0, 800 s/mm2), while Dm, α, and β were fitted using a CTRW model. Independent Student's t-test and the Mann-Whitney U-test were used for the comparison of parameters. Discrimination performance was accomplished by receiver operating characteristic (ROC) analysis, and Spearman's correlation analysis was used to explore the association between immunohistochemical indices and diffusion parameters, the statistical significance level was p<0.05. Dm and ADC demonstrated similar performance in differentiating malignant and benign lesions (AUC=0.928 versus 0.930), while the combination of Dm, α, and β could improve the AUC to 0.969. The combined parameter generated by ADC, Dm, α, and β was effective in identifying the ER+/ER- and PR+/PR- patients. Temporal heterogeneity parameter α correlated significantly with the expression of PR. Diffusion parameters derived from the CTRW model could effectively discriminate the malignancy of breast lesions. Meanwhile, the hormone receptor expression could be distinguished by combined diffusion parameters, and have the potential to reflect the prognosis.

Clinicopathological Profile of Breast Cancer at a Tertiary Cancer Center in Jharkhand, India: A Descriptive Cohort Study.

Introduction Breast cancer is the most common cancer in females worldwide including Indian urban areas. There is no concrete data on breast cancer epidemiology from the state of Jharkhand, India. Materials and methods The present study is a retrospectively conducted descriptive cohort study. A total of 759 patients were selected from the database from 2012 to 2022. The parameters taken for the study were age, sex, stage at the time of presentation, histological type, estrogen receptor (ER) status, progesterone receptor (PR) status, human epidermal growth receptor 2 (HER2) neu status (HER2/neu), site of metastasis for stage 4 diseases, parity, and significant family history. Results The median age for patients was 49 years (range: 19-91 years), with a clustering of 74.83% of cases between 31 and 60 years of age. Most of the patients were in stage III, with 365 (48.08%) cases. Bone was the commonest site of metastasis and was found in 41.25% of total cases. The total number of hormone receptor-positive patients was 384 (56.2%), the number of HER2/neu positive patients was 210 (30.7%), and triple-negative breast cancer was found in 184 cases (26.93%). Conclusion The pattern found in our Jharkhand patients was very much similar to other Indian studies with slightly more clustering of younger cases. The cases in India are almost a decade younger than the Western population and the same was replicated in our study. This is one of the largest studies on breast cancer profile and epidemiology from the eastern part of India. Most of our patients presented late, leading to a higher number of locally advanced (stage III) and metastatic (stage IV) cases. More awareness is required at the population level, including strict implementation of a robust screening program by our government, for improving the overall outcome.

In silico analysis of the different variable domain oriented single-chain variable fragment antibody-antigen complexes

Single-chain variable fragment (scFv) antibodies hold great potential as diagnostic tools and therapeutic agents, especially for tumor cells. Since these applications require their production with improved properties, the design strategy of scFvs is crucial for their active, soluble, and high yield expression with high affinity towards their antigens. The order of VL and VH domains is one of the important parameters that affect the expression and binding affinity properties of scFvs. In addition, the optimum order of VL and VH domains could change for each scFv. In the present study, we used computer simulation tools to evaluate the effect of variable domain orientation on structure, stability, interacting residues of scFvs, and binding free energies of scFv-antigen complexes. We selected anti-HER2 scFv, which is specific for human epidermal growth receptor 2 (HER2) overexpressed in breast cancer, and anti-IL-1β scFv against IL-1β which is an important inflammatory biomarker, as model scFvs. Molecular dynamics simulations of the scFv-antigen complexes for 100 ns resulted in stability and compactness for both scFv constructs. Interaction and binding free energies calculated by the Molecular Mechanics–Poisson–Boltzmann Surface Area (MM-PBSA) approach suggested that the relative binding energies of anti-HER2 scFv-VLVH and anti-HER2 scFv-VHVL constructs had similar binding affinity towards HER2, while a relatively more negative binding free energy obtained between anti-IL-1β scFv-VHVL and IL-1β pointed to a higher binding affinity. The in silico approach and the results obtained here could be applied as a guide for future experimental interaction studies for highly specific scFvs used as biotechnological tools. Communicated by Ramaswamy H. Sarma

Cost-effectiveness of sacituzumab govitecan in hormone receptor-positive/human epidermal growth factor receptor 2-negative metastatic breast cancer.

The efficiency and safety of sacituzumab govitecan (SG) for the therapy of hormone receptor-positive (HR+)/human epidermal receptor 2-negative (HER2-) metastatic breast cancer (BC) has been demonstrated. The aim of this study is to evaluate its cost-effectiveness on HR+/HER2- metastatic BC from the third-party payer perspective in the United States. We performed the cost-effectiveness of SG and chemotherapy using a partitioned survival model. TROPiCS-02 provided clinical patients for this study. We evaluated the robustness of this study by one-way and probabilistic sensitivity analyses. Subgroup analyses were also conducted. The outcomes were costs, life-years, quality-adjusted life years (QALYs), incremental cost-effectiveness ratio (ICER), incremental net health benefit (INHB), and incremental net monetary benefit (INMB). SG treatment was related to an increase of 0.284 life years and 0.217 QALYs over chemotherapy, as well as a cost increase of $132,689, reaching an ICER of $612,772/QALY. The INHB was -0.668 QALYs, and the INMB was -$100,208. SG was not cost-effective at the willingness to pay (WTP) threshold of $150,000/QALY. The outcomes were sensitive to patient body weight and cost of SG. SG may be cost-effective at the WTP threshold of $150,000/QALY if the price is less than $3.997/mg or the weight of patients is under 19.88 kg. Based on the subgroup analysis, SG did not prove cost-effective in all subgroups at the WTP threshold of $150,000/QALY. From a third-party payer standpoint in the United States, SG was not cost-effective, even though it had a clinically significant advantage over chemotherapy for the treatment of HR+/HER2- metastatic BC. The cost-effectiveness of SG can be improved if the price is substantially reduced.