Tumor HER2 Research Articles

TERT Gene Mutation in Gliomas Cross-Linked With (NTRK, PDL1, ALK, IDH, P53, EGFR, HER2): A Integrative Review TERT Gene Mutation in Gliomas.

Recent advancements in glioma treatment are largely driven by the identification of genetic alterations, which enhance diagnostic precision and prognostic assessments, and unveil potential therapeutic targets. TERT promoter mutations, in particular, are associated with a poorer prognosis and aggressive clinical behavior. This study explores the genetic interplay between TERT and other genes (ntrk, pdl1, alk, idh, p53, egfr, her2) in brain tumors through an integrative literature review. This method synthesizes evidence from selected articles spanning 2014 to 2023. The review identified 65 articles based on defined inclusion criteria, out of which 14 were analyzed in depth. Findings reveal that TERT, TP53, and IDH1 are the most frequently mutated genes in gliomas. The prognosis of glioma patients can be refined through the combined analysis of IDH and TERT mutations. Additionally, PD-L1 expression levels are associated with prognosis and may influence treatment responses, particularly, in immunotherapy. The study underscores the importance of molecular diagnostics, such as Next-Generation Sequencing (NGS), in detecting key genetic mutations. These advancements have paved the way for new therapeutic strategies and better patient outcomes. The findings highlight the crucial role of genetic markers in glioma treatment and prognosis, advocating for continued research to enhance clinical applications and patient care. The use of NGS is indispensable in identifying biomarkers associated with mutations in the TERT gene.

Menopausal status-dependent alterations in the transcript levels of genes encoding ERα, ERβ, PR and HER2 in breast tumors with different receptor status.

Breast cancer has distinct causes and prognoses in patients with premenopausal and postmenopausal status. The expression status of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) are analyzed by immunohistochemistry (IHC) to classify molecular subtypes of breast cancer among which large differences in prognosis exist. The mRNA expression of ESR1 (encoding ERα), ESR2 (encoding ERβ), PGR (encoding PR), and ERBB2 (encoding HER2) was analyzed based on menopausal status (pre- vs post-menopausal) in tumors from breast cancer patients with different receptor status, in R programming environment, using transcriptomics data from TCGA-BRCA project. In ER-positive or PR-positive or HER2-negative breast tumors, ESR1 transcript levels were found to be higher in tumors from postmenopausal women than those from premenopausal women; in contrast, ESR2 transcript levels were lower in tumors from postmenopausal women than those from premenopausal women. Furthermore, PGR mRNA expression was lower in breast tumors from postmenopausal women than those from premenopausal women, only in those with ER + or PR + status. The expression of these genes between tumors from pre- and post-menopausal patients with breast cancer was also analyzed based on the combination of status of three receptors. Together, the results suggest that mRNA expression of ESR1, ESR2, and PGR might differ depending on menopausal status in breast tumors with certain receptor status. More importantly, the change in the expression of ESR1 and ESR2 following menopause is in the opposite directions in breast cancer patients showing the need to identify particular molecular mechanisms regulating the expression of ER isoforms post-menopause in different directions in breast cancer patients, considering the high clinical importance of these receptors in terms of the prognosis of patients with breast cancer.

Leveraging ML for profiling lipidomic alterations in breast cancer tissues: a methodological perspective

In this study, a comprehensive methodology combining machine learning and statistical analysis was employed to investigate alterations in the metabolite profiles, including lipids, of breast cancer tissues and their subtypes. By integrating biological and machine learning feature selection techniques, along with univariate and multivariate analyses, a notable lipid signature was identified in breast cancer tissues. The results revealed elevated levels of saturated and monounsaturated phospholipids in breast cancer tissues, consistent with external validation findings. Additionally, lipidomics analysis in both the original and validation datasets indicated lower levels of most triacylglycerols compared to non-cancerous tissues, suggesting potential alterations in lipid storage and metabolism within cancer cells. Analysis of cancer subtypes revealed that levels of PC 30:0 were relatively reduced in HER2(−) samples that were ER(+) and PR(+) compared to those that were ER(−) and PR(−). Conversely, HER2(+) tumors, which were ER(−) and PR(−), exhibited increased concentrations of PC 30:0. This increase could potentially be linked to the role of Stearoyl-CoA-Desaturase 1 in breast cancer. Comprehensive metabolomic analyses of breast cancer can offer crucial insights into cancer development, aiding in early detection and treatment evaluation of this devastating disease.

Mouse Models of HER2+ Human Breast Cancer: A Literature Review

Introduction: HER2+ breast cancer (BC) makes up 15-20% of BC cases, where HER2 overexpression drives BC progression via proliferative signals. Targeted therapies inhibit HER2's activity but face challenges like resistance and metastasis. Thus, HER2+ BC is a developing research area where many preclinical studies are being conducted, and mice are often used due to their genetic and physiological similarities to humans. This study aims to review and compare existing mouse models to determine the best model of HER2+ BC. Methods: A literature search on PubMed in February 2024 using search terms including HER2, neu, neuNT, MMTV, and mammary tumors identified 16 primary research articles that used Neu-overexpressing mice. The papers were categorized under five models: MMTV-Neu, MMTV-NeuNT, FloxNeo-NeuNT, MMTV-NIC, and MMTV-HER2. Results: Among examined studies, Andrechek et al.'s FloxNeo-NeuNT model had the longest average tumor onset at 447 days, while Kuang et al.'s MMTV-NIC had the shortest at 126 days. Ursini-Segal et al.'s MMTV-NIC mice showed 100% mammary tumor incidence. Most models resulted in mammary adenocarcinomas, with lung metastases commonly observed, especially in papers that used MMTV-NIC. Discussion: Human HER2+ BC is commonly adenocarcinoma and often metastasizes to lungs, bones, liver, and brain. The mouse models were also found to be adenocarcinomas, but they primarily showed lung metastasis, possibly due to insufficient tumor detection methods for brain and bone metastasis. Neu copy numbers in Andrechek et al.’s FloxNeo-NeuNT model also align with findings on HER2 copy number amplification in human HER2+ BC. Conclusion: We have found that MMTV-NIC is the optimal mouse model for HER2+ BC research due to its short latency, 100% tumor incidence, and high rate of lung metastasis.

Adaptive enrichment trial designs using joint modelling of longitudinal and time-to-event data.

Adaptive enrichment allows for pre-defined patient subgroups of interest to be investigated throughout the course of a clinical trial. These designs have gained attention in recent years because of their potential to shorten the trial's duration and identify effective therapies tailored to specific patient groups. We describe enrichment trials which consider long-term time-to-event outcomes but also incorporate additional short-term information from routinely collected longitudinal biomarkers. These methods are suitable for use in the setting where the trajectory of the biomarker may differ between subgroups and it is believed that the long-term endpoint is influenced by treatment, subgroup and biomarker. Methods are most promising when the majority of patients have biomarker measurements for at least two time points. We implement joint modelling of longitudinal and time-to-event data to define subgroup selection and stopping criteria and we show that the familywise error rate is protected in the strong sense. To assess the results, we perform a simulation study and find that, compared to the study where longitudinal biomarker observations are ignored, incorporating biomarker information leads to increases in power and the (sub)population which truly benefits from the experimental treatment being enriched with higher probability at the interim analysis. The investigations are motivated by a trial for the treatment of metastatic breast cancer and the parameter values for the simulation study are informed using real-world data where repeated circulating tumour DNA measurements and HER2 statuses are available for each patient and are used as our longitudinal data and subgroup identifiers, respectively.

Efficacy of immune checkpoint inhibitors plus platinum-based chemotherapy as 1st line treatment for patients with non-small cell lung cancer harboring HER2 mutations: Results from LC-SCRUM-Asia

IntroductionHER2 mutations are reported to occur in 2%–5% of all cases of non-small cell lung cancer (NSCLC). The clinical outcomes in patients with HER2-mutant NSCLC treated with immune checkpoint inhibitors (ICIs) plus platinum-based chemotherapy as 1st line treatment still remain unclear. MethodsUsing the large-scale clinico-genomic database of LC-SCRUM-Asia, the clinico-genomic characteristics and therapeutic outcomes of patients with HER2-mutant NSCLC were investigated. ResultsOf the 15,251 patients with NSCLC enrolled in the LC-SCRUM-Asia database, tumor HER2 mutations were detected in 402 patients (2.6 %). The most common subtype of HER2 mutations was exon 20 in-frame insertions (79 %), followed in frequency by mutations in the tyrosine kinase domain other than Exon20ins (10 %) and mutations in extracellular domains (7 %). NSCLCs harboring HER2 mutations showed a higher tumor mutation burden (TMB) as compared with NSCLCs harboring EGFR mutations or ALK fusions (median: 4.22 vs. 2.54 and 2.52 mutation per megabase, respectively). Of the 402 patients, 268 patients had received platinum-based chemotherapy with ICIs (Chemo-ICI, n = 95) or without ICI (Chemo-alone, n = 173) as 1st line treatment. The progression-free survival (PFS) was significantly longer in the Chemo-ICI group as compared with the Chemo-alone group (median 8.5 vs. 6.3 months; HR [95 %CI]: 0.66 [0.50–0.88]; P < 0.005). Multivariate analysis identified use of ICIs in addition to platinum-based chemotherapy as an independent favorable prognostic factor for PFS. There was no significant difference in the overall survival between the patients of the Chemo-ICI and Chemo-alone groups (median 31.1 vs. 23.3 months; HR [95 %CI]: 0.80 [0.57–1.12], P = 0.20). ConclusionsAddition of ICIs to platinum-based chemotherapy in 1st line treatment may improve the PFS in patients with HER2-mutant NSCLC. The relatively high TMB might be involved in the prolongation of the PFS in patients with HER2-mutant NSCLC receiving platinum-based chemotherapy with ICIs.

Engineering synthetic agonists for targeted activation of Notch signaling.

Notch signaling regulates cell fate decisions and has context-dependent tumorigenic or tumor suppressor functions. Although there are several classes of Notch inhibitors, the mechanical force requirement for Notch receptor activation has hindered attempts to generate soluble agonists. To address this problem, we engineered synthetic Notch agonist (SNAG) proteins by tethering affinity-matured Notch ligands to antibodies or cytokines that internalize their targets. This bispecific format enables SNAGs to "pull" on mechanosensitive Notch receptors, triggering their activation in the presence of a desired biomarker. We successfully developed SNAGs targeting six independent surface markers, including the tumor antigens PDL1, CD19, and HER2, and the immunostimulatory receptor CD40. SNAGs targeting CD40 increase expansion of central memory γδ T cells from peripheral blood, highlighting their potential to improve the phenotype and yield of low-abundance T cell subsets. These insights have broad implications for the pharmacological activation of mechanoreceptors and will expand our ability to modulate Notch signaling in biotechnology.

Correlation of Androgen Receptor Expression With Ki67 Proliferative Index and Other Clinicopathological Characteristics in Invasive Mammary Carcinomas.

Introduction The clinical importance of androgen receptor (AR) status in breast cancer is uncertain. The existing knowledge regarding the association of androgen receptor expression with clinicopathological factors of breast cancer is also limited. The main aim of this study is to evaluate the AR expression in breast cancer and to correlate it with the Ki67 proliferative index and other clinicopathological prognostic factors. Methods Theexpression of AR was evaluated in 192 invasive mammary carcinoma cases and the expression patterns were correlated with various clinicopathological prognostic factors such as age, tumor size, pathological primary tumor (pT) stage, nodal status,histological grade, estrogen receptor (ER) expression, progesterone receptor (PgR) expression, human epidermal growth factor receptor 2 (Her2) status, molecular subtype, and Ki67 labeling index. Immunohistochemistry was performed to assess AR, ER, PgR, Her2, and Ki67 expression. The clinicopathological data required for the analysis were obtained from the laboratory information system. Results Out of the 192 breast carcinoma cases, 139 (72.4%) showed AR-positive expression. The average age of the AR-positive cases was slightly higher than the AR-negative cases. AR-positive tumors tended to have a lower histological grade and positive ER and PgR expression. The expression of ARdid not correlate with tumor size, pT stage, nodal status, Her2 status, and Ki67 labeling index. Conclusion The expression of AR is noted in a significant proportion of breast carcinoma cases. AR expression may be related to good prognostic factors such as ER expression, PgR expression, and lower histologic grade. We also observed that AR expression did not have any association with the Ki67 proliferative index.

Single-hit genome editing optimized for maturation in B cells redirects their specificity toward tumor antigens.

T-cell-based adoptive immunotherapy is a new pillar of cancer care. Tumor-redirected B cells could also contribute to therapy if their manipulation to rewire immunoglobulin (Ig) genes is mastered. We designed a single-chain Ig-encoding cassette ("scFull-Ig") that redirects antigen specificity when inserted at a single position of the IgH locus. This design, which places combined IgH and IgL variable genes downstream of a pVH promoter, nevertheless preserves all Ig functional domains and the intrinsic mechanisms that regulate expression from the IgM B cell receptor (BCR) expression to Ig secretion, somatic hypermutation and class switching. This single-locus editing provides an efficient and safe strategy to both disrupt endogenous Ig expression and encode a new Ig paratope. As a proof of concept, the functionality of scFull BCR and/or secreted Ig was validated against two different classical human tumor antigens, HER2 and hCD20. Once validated in cell lines, the strategy was extended to primary B cells, confirming the successful engineering of BCR and Ig expression and the ability of scFull-Ig to undergo further class switching. These results further pave the way for future B cell-based adoptive immunotherapy and strategies to express a therapeutic mAb with a variety of switched H-chains that provide complementary functions.

Expression of Axl Receptor Tyrosine Kinase and Its Association With Ki-67 Proliferation Marker, BCL-2 Anti-apoptotic Protein, Hormone Receptor Status, and HER2/Neu Status in Breast Cancer Among Women From Duhok, Iraq.

Background Breast cancer (BC) is the most prevalent cancer among women worldwide, contributing to high mortality rates, especially in Iraqi women. Detecting the disease before metastasis may increase survival chances for many patients, but that is not the case for most of them. Thus the search for new prognostic biomarkers or testing the relevance of existing ones could contribute to therapeutic decisions complementing the traditional methods, including TNM (tumor, node, and metastasis) staging, tumor grade, and other clinicopathological features in addition to the use of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2/neu). The Axl receptor is frequently associated with invasion, migration, poor prognosis, and angiogenesis. Furthermore, its association with chemotherapyand targeted therapy resistance makes itan ideal biomarker for therapeutic targeting. Methodology This study involved 50 malignant cases with 25 benign fibroadenoma and non-neoplastic cases represented by inflammatory conditions, collected with their corresponding data from the central lab in Duhok Governorate, Iraq. Expression of Kiel 67 (Ki-67) proliferation marker and B-cell lymphoma 2 (BCL-2) anti-apoptotic protein was measured using immunohistochemistry (IHC) to estimate tumor growth and apoptosis. Gene expression of the Axl receptor was evaluated using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Results Cases with high Ki-67 accounted for 68% and low Ki-67 cases were 32% across the graded groups and were significantly associated with tumor grade, PR, and HER2. BCL-2-negativecases accounted for 62% and BCL-2-positive cases were 38%. It was revealed that BCL-2 had a strong correlation with age, especially inthose under 50 years.As for the Axl gene expression, the average fold change in expression in the high-grade (H.) group was 1.74 times higher than in the control group, while in the low/intermediate (L.) group, it was 3.74 times higher. Additionally, when comparing these results with other variables, no significant associations were observed. Conclusion Axl receptor was not associated with all of the clinicopathological variables, the expression values were high in malignant tumors in comparison with the benign tumors, and it was found that Axl receptor expression was associated with low/intermediate grade, which is considered a favorable prognostic factor. Although Axl receptor expression was previously linked with proliferation and invasiveness in BC, its association with the Ki-67 proliferation marker and BCL-2 anti-apoptotic protein was not observed.

Clinicopathological Factors Predicting Pathological Complete Response to Neoadjuvant Anti-HER2 Therapy in HER2-Positive Breast Cancer

Plain Language SummaryNeoadjuvant treatment is the standard approach for human epidermal growth factor receptor 2 (HER2)-positive breast cancer. Especially, pathologic response is an important prognostic factor and the adjuvant treatment is dependent on the response. Therefore, predicting the response is important for modulating the treatment sequence, especially in the initial stage of treatment decision. Therefore, we aimed to identify factors that can predict the effectiveness of neoadjuvant chemotherapy, and our results suggest that factors such as tumor size, grade, hormone receptor, and HER2 status should be considered in the treatment of breast cancer.

Incidence and Prognostic Values in Human Epidermal Growth Factor Receptor 2-Low Expression Metastatic Breast Cancer in Southeast Asian Population: A 10-Year Retrospective Study.

Breast cancer progression varies across molecular subtypes, and treatment options for human epidermal growth factor receptor 2 (HER2)-low expression tumors are limited compared with those of HER2 overexpression tumors. Comprehensive information regarding the epidemiology and clinical outcomes of metastatic HER2-low expression breast cancer in a Southeast Asian population is lacking. This retrospective cohort study was performed to analyze data from patients with de novo advanced breast cancer, including HER2 expression, tumor stage, and metastatic pattern. Statistical analyses, including chi-square tests and survival analyses, were used to compare HER2-low expression and HER2-negative groups. Of the 491 patients, 21.2% had HER2-low expression, 30% had HER2 overexpression, and 50% had HER2-negative expression. Among the hormone receptor (HR)-positive patients, 34% had HER2-low expression; in the triple-negative patients, the HER2-low incidence was 20.6%. No significant differences in clinical characteristics between HER2-low and HER2-negative groups were observed, except for more HR-positive patients in the HER2-low group. HER2-low patients had a longer overall survival (OS) than HER2-negative patients (43 v 23 months; hazard ratio, 0.7; P < .001), especially in HR-positive patients. After adjusting for HR status, HER2-low patients maintained improved outcomes. HR-positive HER2-low patients showed nonsignificant OS gains compared with HR-positive HER2-negative patients, regardless of first-line chemotherapy or endocrine therapy. This study revealed the incidence and clinical outcomes of HER2-low expression in de novo advanced breast cancer, suggesting favorable outcomes, particularly in HR-positive breast cancer. These findings may inform personalized treatment strategies. Further research into the mechanisms and implications of HER2-low expression in breast cancer is required.

380. GROWTH CHARACTERISTICS OF ESOPHAGEAL PATIENT DERIVED ORGANOIDS REFLECT CLINICOPATHOLOGIC VARIABLES

Abstract Background Esophageal patient derived organoids (PDOs) are three-dimensional cell culture models derived from esophageal cancer tissue. We have previously shown that PDOs recapitulate the genetic and morphologic characteristics of the primary tumour, and that PDOs may predict patient responses to neoadjuvant regimens and potentially allow personalisation perioperative therapies. Nevertheless, up to 30% of tissue samples fail to establish organoids in vivo, although the reasons for this are unclear. This study interrogates the clinical characteristics of biopsies that establish or fail to establish PDOs. Methods Esophageal adenocarcinomas from locally advanced (LA) or metastatic (M) disease were biopsied at initial endoscopy, following surgical resection, or image-guided biopsy of metastatic disease (n=75 total). Following a standardised protocol, cells were dissociated and seeded for organoid culture. Organoids are considered ‘established’ after passage 4. Samples were discarded if there was obvious contamination (n=9) or if there were no obvious tumour cells (n=6). Clinicopathologic variables for successfully established or unsuccessfully established were compared for both LA and M disease. Statistical analysis was performed to interrogate characteristics associated with successfully establishing organoids. Results There were significant differences between successful and unsuccessful organoids. Organoids were more likely to be established from endoscopic biopsies (p=0.002). Samples pre-treated with neoadjuvant chemoradiation or chemotherapy were less likely to grow (p=0.02). Samples from poorly differentiated tumours were less likely to grow compared with well and moderately differentiated tumours (p=0.05). Tumour stage, lymphovascular invasion, perineural invasion, MSI status and HER-2 status were not associated with growth characteristics. Conclusion Growth characteristics of esophageal adenocarcinoma PDOs correlate with clinicopathologic characteristics. Samples from patients who have undergone chemotherapy or chemoradiation, and poorly differentiated tumours are less likely to establish in vitro models. Understanding the altered in vitro growth patterns is key to translating use of organoids into clinical practice.

The prognostic significance of circulating tumor cell enumeration and HER2 expression by a novel automated microfluidic system in metastatic breast cancer

BackgroundThe prognostic value of circulating tumor cells (CTCs) in metastatic breast cancer (MBC) has been extensively studied and verified by the CellSearch® system. Varieties of microfluidic systems have been developed to improve capture efficiency with the lack of standardization and automation. This study systematically verified the positive threshold for prognosis and its guidance value in anti-HER2 therapy based on a novel automated microfluidic system OmiCell®.MethodsCTCs isolation, enumeration and labeling were performed using the OmiCell® system. CTCs identification and reporting were performed using the DeepSight® scanning system.ResultsThe capture efficiency and specificity of OmiCell® system was 91.9% and 90%, respectively. Then, 65 MBC patients with known HER2 status of their metastatic tumors were enrolled. In the cohort, we detected ≥ 1 CTCs in 59 patients (90.8%, range: 1–55 CTCs, median = 6), < 8 CTCs in 45 (69.2%) and ≥ 8 CTCs in 20 (30.8%) patients at baseline. The patients with < 8 CTCs had longer PFS than ≥ 8 CTCs (median, 7 vs. 4.4 months, p = 0.028). CTC enumeration was found to be an independent prognostic factor in our cohort. Moreover, we found a weak concordance between tissue HER2 (tHER2) status and the corresponding CTCs (k = 0.16, p = 0.266). The patients with tHER2 positive and cHER2 negative had better PFS compared with patients with both tHER2 and cHER2 positive (median, 8.2 vs. 3.3 months, p = 0.022).ConclusionsThis clinical study shows the prognosis value of a new threshold of CTC number and meanwhile the guidance value of cHER2 status in anti-HER2 therapy.

Intelligent drugs based on notch protein remodeling: a defensive targeting strategy for tumor therapy

In the process of tumor treatment, systemic drug administration is hindered by biological barriers, leading to the retention of a large number of drug molecules in healthy tissues and causing unavoidable side effects. The precise deployment of drugs at the tumor site is expected to alleviate this phenomenon. Here, we take endostatin and Her2 (+) tumors as examples and develop an intelligent drug with simple “wisdom” by endowing mesenchymal stem cells (MSCs) with an intelligent response program (iMSCEndostatin). It can autonomously perceive and distinguish tumor cells from non-tumor cells, establishing a logical connection between tumor signals and drug release. Enable it to selectively deploy drugs at the tumor site, thereby locking the toxicity of drugs at the tumor site. Unlike traditional aggressive targeting strategies that aim to increase drug concentration at the lesion, intelligent drugs are more inclined to be defensive strategies that prevent the presence of drugs in healthy tissues.

Analysis of Factors Associated With Pathological Complete Response in Patients With HER2-Positive Breast Cancer Receiving Neoadjuvant Chemotherapy

PurposeThis study aimed to examine the impact of the level of HER2 overexpression on pathologic and clinical outcomes in HER2-positive breast cancer (BC) patients treated with neoadjuvant therapy (NAT). MethodsWomen with Stage II or III HER2-positive BC who received anthracycline-taxane-trastuzumab NAT regimens followed by curative-intent surgery were included. Patients were classified according to tumor HER2 expression into HER2-high (immunohistochemistry (IHC) 3+ or fluorescence in situ hybridization (FISH) HER2/CEP17 ratio ≥5 or HER2 copy number ≥10) and HER2-intermediate (IHC 2+ with HER2/CEP17 ratio ≥2 to <5 or copy number ≥4 to <10). Univariate and multivariate logistic regression analyses were performed using HER2 expression as a categorical variable. The primary outcome was pathological complete response (pCR). Estimated 3-year disease-free survival (DFS) and Overall Survival (OS) were secondary outcomes. ResultsAmong 161 patients with HER2-positive BC, 139 (86%) and 22 (14%) were classified as HER2-high and HER2-intermediate, respectively; 105 (65.2%) had hormone receptor (HR)-positive tumors; 72 (45%) achieved a pCR. In the overall population, pCR rates of 18% and 49% were achieved in HER2-intermediate and HER2-high cases, respectively (odds ratio [OR] = 0.23 95% CI 0.07-0.72; P = .007). No pCRs were observed among HR-positive, HER2-intermediate cases. Estimated 3-year DFS was 97.1% versus 89.3% for patients achieving a pCR versus those with residual disease, respectively (P = .0011). ConclusionWe found that patients with HER2-high disease were more likely to achieve pCR after NAT compared to patients with HER2-intermediate BC, a subgroup of patients that may benefit from more personalized NAT strategies.

Prognostic and Predictive Significance of Primary Tumor Localization and HER2 Expression in the Treatment of Patients with KRAS Wild-Type Metastatic Colorectal Cancer: Single-Centre Experience from Serbia.

The treatment of patients with metastatic colorectal cancer (mCRC) is complex and is impacted by the location of the primary tumor (LPT). Our study aims to emphasize the importance of LPT as a prognostic and predictive marker as well as to examine the significance of HER2 overexpression in patients with mCRC, particularly in relation to the response to Epidermal Growth Factor Receptor Antibody treatment (anti-EGFR therapy). In this study, 181 patients with Kirsten RAS (KRAS) wild-type mCRC who received anti-EGFR therapy were included. Among them, 101 had left colon cancer (LCC) and 80 had right colon cancer (RCC). Results demonstrated that patients with KRAS wild-type LCC had better median overall survival (OS) (43 vs. 33 months, p = 0.005) and progression-free survival (PFS) (6 vs. 3 months, p < 0.001) compared to those with RCC. Multivariate analysis identified mucinous adenocarcinoma (p < 0.001), RCC location (p = 0.022), perineural invasion (p = 0.034), and tumors at the resection margin (p = 0.001) as independent predictors of OS, while mucinous adenocarcinoma (p = 0.001) and RCC location (p = 0.004) independently correlated with significantly shorter PFS. In addition, human epidermal growth factor receptor 2 (HER2) positive expression was significantly associated with worse PFS compared to HER2 negative results (p < 0.001). In conclusion, LPT is an important marker for predicting outcomes in the treatment of wild-type mCRC using anti-EGFR therapy, since patients with RCC have a statistically significantly shorter PFS and OS. Further investigation is needed to understand the role of HER2 overexpression in wild-type mCRC, as these patients also exhibit shorter survival.

Molecular aspects of BRAF and HER2 in prognosis of periampullary carcinoma

BackgroundBiological behaviour of Periampullary cancers (PACS) differs from pancreatic head cancer, and analysis of molecular alteration is needed. BRAF and HER2 are keys members of the RAS/RAF and EGFR pathway, playing roles in prognostic markers and therapeutic targets. MethodsA study on 89 PACS patients, undergoing Whipple Pancreaticoduodenectomy, PCR-RFLP, and qPCR methods used for SNP and mRNA expression studies. Clinicopathological and survival data collected. Molecular changes were correlated with Clinicopathological parameters. Survival outcomes were assessed by Kaplan Meir Log rank test. ResultsThe study revealed that homozygous mutant BRAF V600E was significantly higher in PAC compared to a healthy control (p = 0.0012). Whereas the genotype frequency of HER2 I1655V was similar among PAC and healthy control. The A > G change in HER2 was associated with tumor arising from duodenum (p = 0.004) and showed poor survival outcome (p = 0.001). Upregulation of BRAF and HER2 was found in 43 % of patients with synergistic effect, the median overall survival (OS) being 50.5 ± 13 months. The increased expression of HER2 was higher in early stage (p = 0.04) PAC. The gene expression did not impact the OS, whereas female gender, G3 tumors, T3-T4 depth of tumour, advanced stage, LN metastasis, LVI and PNI were poor predictors of OS. ConclusionsBRAF V600E SNP was associated with disease susceptibility, and had increased mRNA expression while HER2 I1655V SNP was associated with poor survival outcome in PAC. The increased expression of BRAF and HER2 in early tumors and their co-expression in PAC exhibit cross talk between RAS/RAF and EGFR pathway in PAC.

High Incidence of Gastric Cancer in El Salvador: A National Multisectorial Study 2000-2014.

Gastric adenocarcinoma (GC) is the fourth leading cause of global cancer mortality, and leading infection-associated cancer. GC has significant geographic variability, with a high incidence in East Asia and mountainous regions of Latin America. In the U.S., GC represents a marked disparity with incidence rates that are 2-3 times higher in Hispanics compared to non-Hispanic whites. We conducted a national retrospective study of incident GC in El Salvador from to 2000-2014 to estimate the age-standardized incidence rate (ASIR) by using a combination of pathology and endoscopy databases. A unique multisectorial coalition was formed between the Ministry of Health (MINSAL) and ES Gastroenterology Society (AGEDES), representing public hospitals (n=5), governmental employee hospitals (ISSS, n=5), and private facilities (n=6), accounting for >95% of national endoscopy capacity. HER2 and EBV tumor status was ascertained in a representative sample during 2014-2016. 10,039 unique cases of GC were identified, 45.5% female, and mean age of 65. 21% and 9.4% were <55 and <45 years old, respectively. ASIRs (M, F) were 18.9 (95%CI;14.4-20.7) and 12.2 per 100,000 persons (95%CI;10.9-13.5), respectively, in the period 2010-2014 with all centers operational. Intestinal GC was 2.8 times more common than diffuse GC. 23.2% had partial or complete pyloric obstruction. The HER2 2+/3+ status was 16.7% and EBER positivity was 10.2%. A high incidence of gastric cancer was confirmed in El Salvador, and nearly half of patients were female. The findings have implications for cancer control in the Central America LMICs and for U.S. Latino populations.

Respective contribution of baseline clinical data, tumour metabolism and tumour blood-flow in predicting pCR after neoadjuvant chemotherapy in HER2 and Triple Negative breast cancer

Background:The aim of this study is to investigate the added value of combining tumour blood flow (BF) and metabolism parameters, including texture features, with clinical parameters to predict, at baseline, the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in patients with newly diagnosed breast cancer (BC).Methods:One hundred and twenty-eight BC patients underwent a 18F-FDG PET/CT before any treatment. Tumour BF and metabolism parameters were extracted from first-pass dynamic and delayed PET images, respectively. Standard and texture features were extracted from BF and metabolic images. Prediction of pCR was performed using logistic regression, random forest and support vector classification algorithms. Models were built using clinical (C), clinical and metabolic (C+M) and clinical, metabolic and tumour BF (C+M+BF) information combined. Algorithms were trained on 80% of the dataset and tested on the remaining 20%. Univariate and multivariate features selections were carried out on the training dataset. A total of 50 shuffle splits were performed. The analysis was carried out on the whole dataset (HER2 and Triple Negative (TN)), and separately in HER2 (N=76) and TN (N=52) tumours.Results:In the whole dataset, the highest classification performances were observed for C+M models, significantly (p-value<0.01) higher than C models and better than C+M+BF models (mean balanced accuracy of 0.66, 0.61, and 0.64 respectively). For HER2 tumours, equal performances were noted for C and C+M models, with performances higher than C+M+BF models (mean balanced accuracy of 0.64, and 0.61 respectively). Regarding TN tumours, the best classification results were reported for C+M models, with better performances than C and C+M+BF models but not significantly (mean balanced accuracy of 0.65, 0.63, and 0.62 respectively).Conclusion:Baseline clinical data combined with global and texture tumour metabolism parameters assessed by 18F-FDG PET/CT provide a better prediction of pCR after NAC in patients with BC compared to clinical parameters alone for TN, and HER2 and TN tumours together. In contrast, adding BF parameters to the models did not improve prediction, regardless of the tumour subgroup analysed.