Glioblastoma (GBM) is a fatal brain tumor with a critical need for better therapies. It is known that the PI3K, MAPK, and CDK4/6 signaling pathways are hyper-activated in these tumors; however, previous studies have used very high concentration of inhibitors to assess their importance, with mixed results. Here we developed PMCi, a combination approach that targets all three pathways simultaneously, at clinically-relevant doses. PMCi effectively suppresses GBM cell proliferation in vitro and in vivo, and outperforms monotherapies and dual combinations. PMCi acts by inducing cellular senescence, which is mediated solely by the mitochondria, and, unlike other forms of senescence, is independent of nuclear damage. This phenotype is caused by a reactive oxygen species (ROS)\cGAS-STING\senescence-associated secretory phenotype (SASP) signaling cascade, that acts in a paracrine manner to establish and maintain senescence. Our results demonstrate that mitochondrial damage is sufficient to drive senescence, and that this can be leveraged to target GBM cells. ### Competing Interest Statement The authors have declared no competing interest.

BACKGROUND:Hyperthermic intraperitoneal chemotherapy (HIPEC) improves survival in patients with Stage III ovarian cancer following interval cytoreductive surgery (CRS). Optimising patient selection is essential to maximise treatment efficacy and avoid overtreatment. This study aimed to identify biomarkers that predict HIPEC benefit by analysing gene signatures and cellular composition of tumours from participants in the OVHIPEC-1 trial. METHODS:Whole-transcriptome RNA sequencing data were retrieved from high-grade serous ovarian cancer (HGSOC) samples from 147 patients obtained during interval CRS. We performed differential gene expression analysis and applied deconvolution methods to estimate cell-type proportions in bulk mRNA data, validated by histological assessment. We tested the interaction between treatment and potential predictors on progression-free survival using Cox proportional hazards models. RESULTS:While differential gene expression analysis did not yield any predictive biomarkers, the cellular composition, as characterised by deconvolution, indicated that the absence of macrophages and the presence of B cells in the tumour microenvironment are potential predictors of HIPEC benefit. The histological assessment confirmed the predictive value of macrophage absence. CONCLUSION:Immune cell composition, in particular macrophages absence, may predict response to HIPEC in HGSOC and these hypothesis-generating findings warrant further investigation. CLINICAL TRIAL REGISTRATION:NCT00426257.

PURPOSE:Oligometastatic breast cancer (OMBC) has a more favorable outcome than widespread metastatic breast cancer. Some patients with OMBC achieve long-term remission if treated with multimodality therapy, including systemic and locally ablative therapies. However, not all patients with OMBC benefit from such treatment, while all experience toxicity. To explore biomarkers identifying patients with OMBC and potential long-term survival, we compared tumor-immune characteristics of patients with OMBC and long-term versus shorter-term survival.MATERIALS AND METHODS:We collected tumor tissue of 97 patients with de novo OMBC (≤5 metastases) via the Dutch nationwide cancer and pathology registries using a case-control design. Long-term survivors (LTS) were defined as patients alive ≥10 years since OMBC diagnosis. Fifty-five LTS and 42 shorter-term survivors (STS) were included. Median follow-up was 15 years (IQR, 14-16). Tumor characteristics and infiltrating immune cells were assessed by immunohistochemistry and next-generation RNA-sequencing. Association of the resulting 52 biomarkers with long-term survival was assessed using logistic regression. Associations with survival within LTS were assessed using Cox-proportional hazards modeling. P values were adjusted for multiple hypothesis testing.RESULTS:Most patients had estrogen receptor (ER)-positive OMBC (n = 86; 89%) and 23 (24%) had human epidermal growth factor receptor 2-positive disease. ER positivity in primary tumors distinguished LTS from STS. In addition, extracellular matrix (ECM)2-low and ECM4-high distinguished between long-term and shorter-term survival. Immune levels in the primary tumor did not associate with LTS. However, within the LTS subset, higher immune levels associated with improved progression-free survival.CONCLUSION:We identified tumor and ECM features in the primary tumor of patients with de novo OMBC that were associated with long-term survival. Our data should be validated in other patients with OMBC before they can be used in clinical practice.

This file contains Supplementary Tables 2-8, 13 and 14: Supplementary Table 2: Cell line doubling times estimated from growth curves of confluence measurements. Supplementary Table 3: Normalized dose response data for each of the seven kinase inhibitors. Supplementary Table 4: Absolute IC50 values estimated from the dose response data. Supplementary Table 5: Normalized and log-transformed read counts obtained from RNA sequencing. Supplementary Table 6: Mutations called from the DNA sequencing data. Supplementary Table 7: Copy number estimates obtained from the off-target DNA sequencing reads using CopywriteR. Supplementary Table 8: Protein and phosphorylation levels obtained from the RPPA assay. Supplementary Table 13: Comparison of mutation frequencies in the cell line panel with mutation frequencies observed for breast cancer in The Cancer Genome Atlas. Supplementary Table 14: Differential expression analysis of RPPA and RNAseq data between sensitive and resistant cell lines for each of the kinase inhibitors.

<p>This document contains Supplementary Materials & Methods including a mathematical specification of the model, as well as Supplementary Note 1 (Inferred signaling estimates agree with on-treatment phosphorylation measurements), Supplementary Note 2 (A simplified model can describe the response to seven drugs simultaneously), Supplementary Note 3 (Inclusion of feedback signaling from MTORC1 to PI3K does not improve the fit for drug response to AZD8055 and lapatinib), Supplementary Tables 1 (cell line panel), 9-10 (literature references for model nodes and interactions) and 11-12 (prior distributions), and Supplementary Figure 1-19.</p>

<p>This archive contains all files necessary for running the inference in BCM, including the models in BCM model specification format, processed data and configuration files. The archive also contains graphs of each of the inference results, including posterior distributions, posterior predictive distributions and sample traces.</p>

Individual cells in a genetically identical population can show highly variable behavior. Single-cell measurements allow us to study this variability, but the available measurement techniques have limitations: live-cell microscopy is typically restricted to one or a few molecular markers, while techniques that simultaneously measure large numbers of molecular markers are destructive and cannot be used to follow cells over time. To help overcome these limitations, we present here scMeMo (single cell Mechanistic Modeler): a mechanistic modeling framework that can leverage diverse sets of measurements in order to infer unobserved variables in heterogeneous single cells. We used this framework to construct a model describing cell cycle progression in human cells, and show that it can predict the levels of several proteins in individual cells, based on live-cell microscopy measurements of only one marker and information learned from other experiments. The framework incorporates an uncertainty calibration step that makes the posterior distributions robust against partial model misspecification. Our modeling framework can be used to integrate information from separate experiments with diverse readouts, and to infer single cell variables that may be difficult to measure directly.

Despite major improvements in treatment of HER2-positive metastatic breast cancer (MBC), only few patients achieve complete remission and remain progression free for a prolonged time. The tumor immune microenvironment plays an important role in the response to treatment in HER2-positive breast cancer and could contain valuable prognostic information. Detailed information on the cancer-immune cell interactions in HER2-positive MBC is however still lacking. By characterizing the tumor immune microenvironment in patients with HER2-positive MBC, we aimed to get a better understanding why overall survival (OS) differs so widely and which alternative treatment approaches may improve outcome. We included all patients with HER2-positive MBC who were treated with trastuzumab-based palliative therapy in the Netherlands Cancer Institute between 2000 and 2014 and for whom pre-treatment tissue from the primary tumor or from metastases was available. Infiltrating immune cells and their spatial relationships to one another and to tumor cells were characterized by immunohistochemistry and multiplex immunofluorescence. We also evaluated immune signatures and other key pathways using next-generation RNA-sequencing data. With nine years median follow-up from initial diagnosis of MBC, we investigated the association between tumor and immune characteristics and outcome. A total of 124 patients with 147 samples were included and evaluated. The different technologies showed high correlations between each other. T-cells were less prevalent in metastases compared to primary tumors, whereas B-cells and regulatory T-cells (Tregs) were comparable between primary tumors and metastases. Stromal tumor-infiltrating lymphocytes in general were not associated with OS. The infiltration of B-cells and Tregs in the primary tumor was associated with unfavorable OS. Four signatures classifying the extracellular matrix of primary tumors showed differential survival in the population as a whole. In a real-world cohort of 124 patients with HER2-positive MBC, B-cells, and Tregs in primary tumors are associated with unfavorable survival. With this paper, we provide a comprehensive insight in the tumor immune microenvironment that could guide further research into development of novel immunomodulatory strategies.

Over 90% of pancreatic cancers present mutations in KRAS, one of the most common oncogenic drivers overall. Currently, most KRAS mutant isoforms cannot be targeted directly. Moreover, targeting single RAS downstream effectors induces adaptive resistance mechanisms. We report here on the combined inhi-bition of SHP2, upstream of KRAS, using the allosteric inhibitor RMC-4550 and of ERK, downstream of KRAS, using LY3214996. This combination shows synergistic anti-cancer activity in vitro, superior disruption of the MAPK pathway, and increased apoptosis induction compared with single-agent treatments. In vivo, we demonstrate good tolerability and efficacy of the combination, with significant tumor regression in multiple pancreatic ductal adenocarcinoma (PDAC) mouse models. Finally, we show evidence that 18F-fluorodeoxy-glucose (FDG) positron emission tomography (PET) can be used to assess early drug responses in animal models. Based on these results, we will investigate this drug combination in the SHP2 and ERK inhibition in pancreatic cancer (SHERPA; ClinicalTrials.gov: NCT04916236) clinical trial, enrolling patients with KRAS-mutant PDAC.

The role of pathology in patient management has evolved over time from the retrospective review of cells, tissue, and disease (‘what happened’) to a prospective outlook (‘what will happen’). Examination of a static, two‐dimensional hematoxylin and eosin (H&E)‐stained tissue slide has traditionally been the pathologist's primary task, but novel ancillary techniques enabled by technological breakthroughs have supported pathologists in their increasing ability to predict disease status and behaviour. Nevertheless, the informational limits of 2D, fixed tissue are now being reached and technological innovation is urgently needed to ensure that our understanding of disease entities continues to support improved individualized treatment options. Here we review pioneering work currently underway in the field of cancer pathology that has the potential to capture information beyond the current basic snapshot. A selection of exciting new technologies is discussed that promise to facilitate integration of the functional and multidimensional (space and time) information needed to optimize the prognostic and predictive value of cancer pathology. Learning how to analyse, interpret, and apply the wealth of data acquired by these new approaches will challenge the knowledge and skills of the pathology community. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Background Ductal carcinoma in situ (DCIS) is treated to prevent subsequent ipsilateral invasive breast cancer (iIBC). However, many DCIS lesions will never become invasive. To prevent overtreatment, we need to distinguish harmless from potentially hazardous DCIS. We investigated whether the immune microenvironment (IME) in DCIS correlates with transition to iIBC. Methods Patients were derived from a Dutch population-based cohort of 10,090 women with pure DCIS with a median follow-up time of 12 years. Density, composition and proximity to the closest DCIS cell of CD20 + B-cells, CD3 + CD8 + T-cells, CD3 + CD8 − T-cells, CD3 + FOXP3 + regulatory T-cells, CD68 + cells, and CD8 + Ki67 + T-cells was assessed with multiplex immunofluorescence (mIF) with digital whole-slide analysis and compared between primary DCIS lesions of 77 women with subsequent iIBC (cases) and 64 without (controls). Results Higher stromal density of analysed immune cell subsets was significantly associated with higher grade, ER negativity, HER-2 positivity, Ki67 ≥ 14%, periductal fibrosis and comedonecrosis ( P < 0.05). Density, composition and proximity to the closest DCIS cell of all analysed immune cell subsets did not differ between cases and controls. Conclusion IME features analysed by mIF in 141 patients from a well-annotated cohort of pure DCIS with long-term follow-up are no predictors of subsequent iIBC, but do correlate with other factors (grade, ER, HER2 status, Ki-67) known to be associated with invasive recurrences.

Discovering biomarkers of drug response and finding powerful drug combinations can support the reuse of previously abandoned cancer drugs in the clinic. Indisulam is an abandoned drug that acts as a molecular glue, inducing degradation of splicing factor RBM39 through interaction with CRL4 DCAF15 . Here, we performed genetic and compound screens to uncover factors mediating indisulam sensitivity and resistance. First, a dropout CRISPR screen identified SRPK1 loss as a synthetic lethal interaction with indisulam that can be exploited therapeutically by the SRPK1 inhibitor SPHINX31. Moreover, a CRISPR resistance screen identified components of the degradation complex that mediate resistance to indisulam: DCAF15, DDA1, and CAND1. Last, we show that cancer cells readily acquire spontaneous resistance to indisulam. Upon acquiring indisulam resistance, pancreatic cancer (Panc10.05) cells still degrade RBM39 and are vulnerable to BCL-xL inhibition. The better understanding of the factors that influence the response to indisulam can assist rational reuse of this drug in the clinic.

Mutant KRAS is present in over 90% of pancreatic as well as 30-40% of lung and colorectal cancers and is one of the most common oncogenic drivers. Despite decades of research and the recent emergence of isoform-specific KRAS G12C -inhibitors, most mutant KRAS isoforms, including the ones frequently associated with pancreatic ductal adenocarcinoma (PDAC), cannot be targeted directly. Moreover, targeting single RAS downstream effectors induces adaptive mechanisms leading to tumor recurrence or resistance. We report here on the combined inhibition of SHP2, a non-receptor tyrosine phosphatase upstream of KRAS, and ERK, a serine/threonine kinase and a key molecule downstream of KRAS in PDAC. This combination shows synergistic anticancer activity in vitro , superior disruption of the MAPK pathway, and significantly increased apoptosis induction compared to single-agent treatments. In vivo , we demonstrate good tolerability and efficacy of the combination. Concurrent inhibition of SHP2 and ERK induces significant tumor regression in multiple PDAC mouse models. Finally, we show evidence that 18 F-FDG PET scans can be used to detect and predict early drug responses in animal models. Based on these compelling results, we will investigate this drug combination in a clinical trial (SHERPA, SH P2 and ER K inhibition in pa ncreatic cancer, NCT04916236 ), enrolling patients with KRAS -mutant PDAC.

Although ductal carcinoma in situ (DCIS) is a non-obligate precursor to ipsilateral invasive breast cancer (iIBC), most DCIS lesions remain indolent. Hence, overdiagnosis and overtreatment of DCIS is a major concern. There is an urgent need for prognostic markers that can distinguish harmless from potentially hazardous DCIS. We hypothesised that features of the breast adipose tissue may be associated with risk of subsequent iIBC. We performed a case–control study nested in a population-based DCIS cohort, consisting of 2658 women diagnosed with primary DCIS between 1989 and 2005, uniformly treated with breast conserving surgery (BCS) alone. We assessed breast adipose features with digital pathology (HALO ® , Indica Labs) and related these to iIBC risk in 108 women that developed subsequent iIBC (cases) and 168 women who did not (controls) by conditional logistic regression, accounting for clinicopathological and immunohistochemistry variables. Large breast adipocyte size was significantly associated with iIBC risk (odds ratio (OR) 2.75, 95% confidence interval (95% CI) = 1.25–6.05). High cyclooxygenase (COX)-2 protein expression in the DCIS cells was also associated with subsequent iIBC (OR 3.70 (95% CI = 1.59–8.64). DCIS with both high COX-2 expression and large breast adipocytes was associated with a 12-fold higher risk (OR 12.0, 95% CI = 3.10–46.3, P < 0.001) for subsequent iIBC compared with women with smaller adipocyte size and low COX-2 expression. Large breast adipocytes combined with high COX-2 expression in DCIS is associated with a high risk of subsequent iIBC. Besides COX-2, adipocyte size has the potential to improve clinical management in patients diagnosed with primary DCIS.

Cellular senescence is characterized as a stable proliferation arrest that can be triggered by multiple stresses. Most knowledge about senescent cells is obtained from studies in primary cells. However, senescence features may be different in cancer cells, since the pathways that are involved in senescence induction are often deregulated in cancer. We report here a comprehensive analysis of the transcriptome and senolytic responses in a panel of 13 cancer cell lines rendered senescent by two distinct compounds. We show that in cancer cells, the response to senolytic agents and the composition of the senescence-associated secretory phenotype are more influenced by the cell of origin than by the senescence trigger. Using machine learning, we establish the SENCAN gene expression classifier for the detection of senescence in cancer cell samples. The expression profiles and senescence classifier are available as an interactive online Cancer SENESCopedia.

An important feature of Bayesian statistics is the opportunity to do sequential inference: the posterior distribution obtained after seeing a dataset can be used as prior for a second inference. However, when Monte Carlo sampling methods are used for inference, we only have a set of samples from the posterior distribution. To do sequential inference, we then either have to evaluate the second posterior at only these locations and reweight the samples accordingly, or we can estimate a functional description of the posterior probability distribution from the samples and use that as prior for the second inference. Here, we investigated to what extent we can obtain an accurate joint posterior from two datasets if the inference is done sequentially rather than jointly, under the condition that each inference step is done using Monte Carlo sampling. To test this, we evaluated the accuracy of kernel density estimates, Gaussian mixtures, mixtures of factor analyzers, vine copulas and Gaussian processes in approximating posterior distributions, and then tested whether these approximations can be used in sequential inference. In low dimensionality, Gaussian processes are more accurate, whereas in higher dimensionality Gaussian mixtures, mixtures of factor analyzers or vine copulas perform better. In our test cases of sequential inference, using posterior approximations gives more accurate results than direct sample reweighting, but joint inference is still preferable over sequential inference whenever possible. Since the performance is case-specific, we provide an R package mvdens with a unified interface for the density approximation methods.

Abstract Background: The incidence of ductal carcinoma in situ (DCIS) has greatly increased since the introduction of mammographic screening. However, so far, it is still not possible to predict which patient with DCIS will further develop invasive breast cancer. Adipocyte hypertrophy and adipocyte inflammation has been associated with increased risk of developing breast cancer in postmenopausal women and with worse prognosis in breast cancer patients. In this study, we aimed 1) at evaluating the association between mammary adiposity, as assessed by digital pathology, with DCIS progression using a unique case-control series with long-term follow up and 2) study the interaction between DCIS cells and the surrounding adipocytes. Patients and methods: Mammary adipocyte size was measured in surgical specimens of 279 women with primary DCIS. These mammary adipocyte measurements were compared in 109 women with primary DCIS who subsequently developed ipsilateral invasive breast cancer (iIBC) (cases) and 170 women who did not (controls). Patients were matched for age and follow-up duration. Median follow-up time was 12.8 years. Post-menopausal patients were defined as >50 years at diagnosis and represented 220/279 (78,9%) of patients. All patients were treated with breast cancer-conserving surgery only. Intact adipocytes distant from the DCIS lesions were measured (largest diameter and area) using HALO™ image analysis software (Indica Labs, Corrales, NM) on H&E-stained whole slide images of primary DCIS. Given the specific interest in the larger adipocytes, we systematically considered the 75th percentile as unique value for each patient. An average of 4259 adipocytes (min:70, max:21107) was measured per patient. Tissue segmentation was used to measure the adipose area. Adipose triglyceride lipase (ATGL clone 2138, Cell Signaling) immunohistochemistry (IHC) was applied to study ATGL expression in DCIS cells. Her2, ER and COX-2 IHC and RNAseq of microdissected pure DCIS was already available for this series (LL. Visser et al. Clin Can Res 24 (15) 2018). Conditional logistic regression was applied to investigate differences in adipocyte hypertrophy between groups of patients (e.g., cases and controls). Results: Adipocytes were larger and the proportion of adipose tissue was higher in post-menopausal patients (both p<0.001). Mean adipocyte maximum diameter and mean adipocyte area of the 75th percentile ranged from 46.9-115.9 µm and 2016-11336 µm2 respectively. For every 1000 µm2 increase in mean adipocyte area a DCIS patient had a 1.18 increased risk for iIBC (95% CI 1.02-1.36, p= 0.028). DCIS patients with large adipocytes (above the 75th percentile) had a 2.1 increased risk for developing iIBC (95% CI: 1.18-3.72, p=0.011). This observation remained when restricting the analysis to post-menopausal patients (OR 1.19 per 1000 µm2 95% CI 1.01-1.40, p=0.038 and adipocytes above 75th percentile OR 2.2, 95% CI 1.22-3.99, p= 0.009). To further explore the potential interactions between the epithelial cells from DCIS with the adjacent adipocytes, we compared the size of the DCIS-adjacent adipocytes to those away from DCIS lesions. DCIS-adjacent adipocytes showed a reduction in size, suggesting delipidation. Adipose triglyceride lipase (ATGL) is a rate limiting lipase that can release stored free fatty acids (FFA) in DCIS cells for fatty acid ß-oxidation. In a pilot series strong ATGL expression was observed in a subset of DCIS lesions (4 of 25). Conclusion and perspective: This study is the first to demonstrate that mammary adipocyte hypertrophy is associated with an increased risk of progression for patients with DCIS. Our findings might help to distinguish potentially hazardous from harmless DCIS, enabling overtreatment of indolent DCIS. Adipocyte size will be correlated to immunohistochemical expression of ATGL, Her2, ER and COX2 in DCIS, and RNAseq data of pure microdissected DCIS. Citation Format: Mathilde Matthea Machteld Almekinders, Michael Schaapveld, Bram Thijssen, Ingrid Hofland, Marjolijn Mertz, Dennis Peters, Annegien Broeks, Lodewijk Wessels, Wilbert Zwart, Jos Jonkers, Esther Lips, Christine Desmedt, Jelle Wesseling, on behalf of the PRECISION Team. Impact of increased mammary adiposity on DCIS progression [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P6-15-07.

BACKGROUND:HER2-driven breast cancer is correlated with poor prognosis, especially during its later stages. Numerous studies have shown the importance of the integrin α3β1 during the initiation and progression of breast cancer; however, its role in this disease is complex and often opposite during different stages and in different types of tumors. In this study, we aim to elucidate the role of integrin α3β1 in a genetically engineered mouse model of HER2-driven mammary tumorigenesis. METHODS:To investigate the role of α3β1 in HER2-driven tumorigenesis in vivo, we generated a HER2-driven MMTV-cNeu mouse model of mammary tumorigenesis with targeted deletion of Itga3 (Itga3 KO mice). We have further used several established triple-negative and HER2-overexpressing human mammary carcinoma cell lines and generated ITGA3-knockout cells to investigate the role of α3β1 in vitro. Invasion of cells was assessed using Matrigel- and Matrigel/collagen I-coated Transwell assays under static or interstitial fluid flow conditions. The role of α3β1 in initial adhesion to laminin and collagen was assessed using adhesion assays and immunofluorescence. RESULTS:Tumor onset in mice was independent of the presence of α3β1. In contrast, the depletion of α3β1 reduced the survival of mice and increased tumor growth and vascularization. Furthermore, Itga3 KO mice were significantly more likely to develop lung metastases and had an increased metastatic burden compared to WT mice. In vitro, the deletion of ITGA3 caused a significant increase in the cellular invasion of HER2-overexpressing SKBR3, AU565, and BT474 cells, but not of triple-negative MDA-MB-231. This invasion suppressing function of α3β1 in HER2-driven cells depended on the composition of the extracellular matrix and the interstitial fluid flow. CONCLUSION:Downregulation of α3β1 in a HER2-driven mouse model and in HER2-overexpressing human mammary carcinoma cells promotes progression and invasiveness of tumors. The invasion-suppressive role of α3β1 was not observed in triple-negative mammary carcinoma cells, illustrating the tumor type-specific and complex function of α3β1 in breast cancer.

BackgroundHER2-driven breast cancer is correlated with poor prognosis, especially during its later stages. Numerous studies have shown the importance of the integrin 31 during the initiation and progression of breast cancer; however, its role in this disease is complex and often opposite during different stages and in different types of tumors. In this study, we aim to elucidate the role of integrin 31 in a genetically engineered mouse model of HER2-driven mammary tumorigenesis.MethodsTo investigate the role of 31 in HER2-driven tumorigenesis in vivo, we generated a HER2-driven MMTV-cNeu mouse model of mammary tumorigenesis with targeted deletion of Itga3 (Itga3 KO mice). We have further used several established triple-negative and HER2-overexpressing human mammary carcinoma cell lines and generated ITGA3-knockout cells to investigate the role of 31 in vitro. Invasion of cells was assessed using Matrigel- and Matrigel/collagen I-coated Transwell assays under static or interstitial fluid flow conditions. The role of 31 in initial adhesion to laminin and collagen was assessed using adhesion assays and immunofluorescence.ResultsTumor onset in mice was independent of the presence of 31. In contrast, the depletion of 31 reduced the survival of mice and increased tumor growth and vascularization. Furthermore, Itga3 KO mice were significantly more likely to develop lung metastases and had an increased metastatic burden compared to WT mice. In vitro, the deletion of ITGA3 caused a significant increase in the cellular invasion of HER2-overexpressing SKBR3, AU565, and BT474 cells, but not of triple-negative MDA-MB-231. This invasion suppressing function of 31 in HER2-driven cells depended on the composition of the extracellular matrix and the interstitial fluid flow.ConclusionDownregulation of 31 in a HER2-driven mouse model and in HER2-overexpressing human mammary carcinoma cells promotes progression and invasiveness of tumors. The invasion-suppressive role of 31 was not observed in triple-negative mammary carcinoma cells, illustrating the tumor type-specific and complex function of 31 in breast cancer.

Introduction: DCIS is a non-obligate precursor to invasive breast cancer (IBC). DCIS patients are treated similarly to breast cancer with surgery, often followed by radiotherapy and/or endocrine treatment. However, most DCIS lesions will never progress to IBC, indicating that overdiagnosis and overtreatment exists. DCIS lesions show variable amounts of immune cells, particularly in the periductal stroma. Immune escape might be a critical step for transition from DCIS to IBC. We aim to identify factors within the immune microenvironment of DCIS lesions that distinguish harmless from potentially hazardous DCIS.Methods: A case-control study is being conducted consisting of women with pure DCIS diagnosed between 1989-2005 with median follow-up of 12 years, treated with breast conserving surgery only. Cases are defined as women with DCIS developing subsequent ipsilateral breast cancer (iIBC), controls as women with DCIS without subsequent iIBC. Multispectral immunohistochemical imaging was performed on primary DCIS lesions, aiming at detection of CD20+ B-cells, CD8+ T-cells, CD3+ T-cells, CD3+Foxp3+ regulatory T-cells, and CD68+ macrophages. Density of immune cell subsets in cells/mm2, immune cell ratios and spatial relationships were calculated for 27 cases and 28 controls. These immune cell related factors were correlated to outcome and integrated with RNAseq data of pure microdissected DCIS. We performed gene set enrichment analysis on the correlation between DCIS gene expression and density of immune cell types with sample permutation (flexgsea R package).Results: Stromal lymphocyte, B-cell, CD8+ T-cell, regulatory T-cell and macrophage density did not significantly differ between cases and controls. Immune cell composition (CD8+ T-cell/lymphocyte, CD8+ T-cell/CD3+Foxp3+ regulatory T-cell and CD20+/lymphocyte ratio) and fraction of regulatory T-cells in close proximity of a CD8+ T-cell did not differ between cases and controls. We find a negative association between stromal B-cell density and DCIS gene expression of estrogen receptor (ESR1) targets. Higher stromal T-cell density was associated with proliferation and expression of genes characteristic for luminal B and basal-like subtypes. Furthermore, higher density of specific immune cell subsets within the DCIS compartment was associated with several immune and cancer pathways.Conclusion: A first set of analyzed DCIS cases (n=27) and controls (n=28) show no significant differences regarding immune cell density, composition and spatial relationships. Considering the entire group of DCIS patients (n=55), a negative association between stromal B-cell density and gene expression of ESR1 targets was found. Higher density of lymphocytes was associated with proliferation and expression of genes characteristic for luminal B and basal-like subtypes. The full set of 175 DCIS lesions will be presented at AACR Annual Meeting 2019.Citation Format: Mathilde M. Almekinders, Lindy Visser, Bram Thijssen, Rianne van der Linden, Charlotte van Rooijen, Petra Kristel, Annegien Broeks, Tycho Bismeijer, Lodewyk Wessels, Erik Hooijberg, Karin de Visser, Esther Lips, Jelle Wesseling, on behalf of the PRECISION team (PREvent ductal Carcinoma In Situ Invasive Overtreatment Now). Progression of ductal carcinoma in situ (DCIS), is it in the immune microenvironment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2806.