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The immune-specialized environment of the healthy brain is tightly regulated to prevent excessive neuroinflammation. However, after cancer development, a tissue-specific conflict between brain-preserving immune suppression and tumor-directed immune activation may ensue. To interrogate potential roles of T cells in this process, we profiled these cells from individuals with primary or metastatic brain cancers via integrated analyses on the single-cell and bulk population levels. Our analysis revealed similarities and differences in T cell biology between individuals, with the most pronounced differences observed in a subgroup of individuals with brain metastasis, characterized by accumulation of CXCL13-expressing CD39+ potentially tumor-reactive T (pTRT) cells. In this subgroup, high pTRT cell abundance was comparable to that in primary lung cancer, whereas all other brain tumors had low levels, similar to primary breast cancer. These findings indicate that T cell-mediated tumor reactivity can occur in certain brain metastases and may inform stratification for treatment with immunotherapy.

Purpose: Mutation of BRAF at the valine 600 residue occurs in approximately 10% of colorectal cancers, a group with particularly poor prognosis. The response of BRAF mutant colorectal cancer to recent targeted strategies such as anti-BRAF or combinations with MEK and EGFR inhibitors remains limited and highly heterogeneous within BRAF V600E cohorts. There is clearly an unmet need in understanding the biology of BRAF V600E colorectal cancers and potential subgroups within this population.Experimental Design: In the biggest yet reported cohort of 218 BRAF V600E with gene expression data, we performed unsupervised clustering using non-negative matrix factorization to identify gene expression–based subgroups and characterized pathway activation.Results: We found strong support for a split into two distinct groups, called BM1 and BM2. These subtypes are independent of MSI status, PI3K mutation, gender, and sidedness. Pathway analyses revealed that BM1 is characterized by KRAS/AKT pathway activation, mTOR/4EBP deregulation, and EMT whereas BM2 displays important deregulation of the cell cycle. Proteomics data validated these observations as BM1 is characterized by high phosphorylation levels of AKT and 4EBP1, and BM2 patients display high CDK1 and low cyclin D1 levels. We provide a global assessment of gene expression motifs that differentiate BRAF V600E subtypes from other colorectal cancers.Conclusions: We suggest that BRAF mutant patients should not be considered as having a unique biology and provide an in depth characterization of heterogeneous motifs that may be exploited for drug targeting. Clin Cancer Res; 23(1); 104–15. ©2016 AACR.

Analysis of GO processes enriched in several mTOR signatures.

Supplementary Data from Biological Processes Associated with Breast Cancer Clinical Outcome Depend on the Molecular Subtypes

Purpose: Recently, several prognostic gene expression signatures have been identified; however, their performance has never been evaluated according to the previously described molecular subtypes based on the estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER2), and their biological meaning has remained unclear. Here we aimed to perform a comprehensive meta-analysis integrating both clinicopathologic and gene expression data, focusing on the main molecular subtypes.Experimental Design: We developed gene expression modules related to key biological processes in breast cancer such as tumor invasion, immune response, angiogenesis, apoptosis, proliferation, and ER and HER2 signaling, and then analyzed these modules together with clinical variables and several prognostic signatures on publicly available microarray studies (>2,100 patients).Results: Multivariate analysis showed that in the ER+/HER2− subgroup, only the proliferation module and the histologic grade were significantly associated with clinical outcome. In the ER−/HER2− subgroup, only the immune response module was associated with prognosis, whereas in the HER2+ tumors, the tumor invasion and immune response modules displayed significant association with survival. Proliferation was identified as the most important component of several prognostic signatures, and their performance was limited to the ER+/HER2− subgroup.Conclusions: Although proliferation is the strongest parameter predicting clinical outcome in the ER+/HER2− subtype and the common denominator of most prognostic gene signatures, immune response and tumor invasion seem to be the main molecular processes associated with prognosis in the ER−/HER2− and HER2+ subgroups, respectively. These findings may help to define new clinicogenomic models and to identify new therapeutic strategies in the specific molecular subgroups.

Figure S1. Principal component analysis and hierarchical clustering of the 218 BRAF mutant patient cohort;Figure S2: Gene-wise and patient-wise biclustering heatmap of the 218 BRAF mutant patient cohort and comparison of BRAF mutant subtypes obtained with and without adjusting for microsatellite instability status;Figure S3: Geneset enrichment analysis (GSEA) of BM subtypes for the four most enriched signature of the Hallmark collection and gene overlap between signatures and BM-specific genes;Figure S4: Patient-level single sample geneset enrichment analysis (ssGSEA) between BM subtypes, double BRAF wild-type KRAS wild-type (WT2) and KRAS mutant patients for the hallmark signature collection;Figure S5: Patient-averaged single sample geneset enrichment analysis (ssGSEA) between BM subtypes, double BRAF wild-type KRAS wild-type (WT2) and KRAS mutant patients for the hallmark signature collection;Figure S6: Gene overlap between selected sets of gene signatures used in this study;Figure S7: Immune landscape of the BM subtypes;Figure S8: Methylation analysis of BM subtypes using TCGA data;Figure S9: Survival and clinical characteristics of the BRAF mutant patients enrolled in the survival analysis;Figure S10: Performance of the generalized model used to classify patients into BM1 and BM2 subtypes;Figure S11: Drug responses of colorectal cancer cell lines classified into BM1 and BM2.

Supplementary Table S2 from Biological Processes Associated with Breast Cancer Clinical Outcome Depend on the Molecular Subtypes

Table S1: Definitions of mutation calls used in this study;Table S2: List of genes with non-zero coefficients obtained by the classifier used to categorize gene expression profiles into BM1 and BM2.

This file contains the supplementary methods that either describe the methodological part related to supplementary figures or the detailed aspects for the following methods: clustering, pathway analysis, survival, methylation and proteomic analyses, and cell line drug response analyses. The file also includes the legends for all supplementary data (Figures and Tables).

(Cell Stem Cell 29, 1213–1228, August 4, 2022) In the version of our manuscript that was accepted by the Cell Press editorial office, we mistakenly included a misspelling of the first author's surname. We did not catch this unfortunate error during the production process, and the manuscript published with the error included. We have now corrected the spelling, and the correct author list appears here and in the online version of our article. We apologize for the oversight.

Brain metastasis is a complication of increasing incidence in patients with breast cancer at advanced disease stage. It is a severe condition characterized by a rapid decline in quality of life and poor prognosis. There is a critical clinical need to develop effective therapies to prevent and treat brain metastases. Here, we describe a unique and robust spontaneous preclinical model of breast cancer metastasis to the brain (4T1-BM 2 ) in mice that has been instrumental in uncovering molecular mechanisms guiding metastatic dissemination and colonization of the brain. Key experimental findings were validated in the additional murine D2A1-BM 2 model and in human MDA231-BrM 2 model. Gene expression analyses and functional studies, coupled with clinical transcriptomic and histopathological investigations, identified connexins (Cxs) and focal adhesion kinase (FAK) as master molecules orchestrating breast cancer colonization of the brain. Cx31 promoted homotypic tumor cell adhesion, heterotypic tumor-astrocyte interaction, and FAK phosphorylation. FAK signaling prompted NF-κB activation inducing Lamc2 expression and laminin 332 (laminin 5) deposition, α6 integrin–mediated adhesion, and sustained survival and growth within brain parenchyma. In the MDA231-BrM 2 model, the human homologous molecules CX43, LAMA4, and α3 integrin were involved. Systemic treatment with FAK inhibitors reduced brain metastasis progression. In conclusion, we report a spontaneous model of breast cancer metastasis to the brain and identified Cx-mediated FAK–NF-κB signaling as a mechanism promoting cell-autonomous and microenvironmentally controlled cell survival for brain colonization. Considering the limited therapeutic options for brain metastatic disease in cancer patients, we propose FAK as a therapeutic candidate to further pursue in the clinic.

Intestinal homeostasis is underpinned by LGR5+ve crypt-base columnar stem cells (CBCs), but following injury, dedifferentiation results in the emergence of LGR5-ve regenerative stem cell populations (RSCs), characterized by fetal transcriptional profiles. Neoplasia hijacks regenerative signaling, so we assessed the distribution of CBCs and RSCs in mouse and human intestinal tumors. Using combined molecular-morphological analysis, we demonstrate variable expression of stem cell markers across a range of lesions. The degree of CBC-RSC admixture was associated with both epithelial mutation and microenvironmental signaling disruption and could be mapped across disease molecular subtypes. The CBC-RSC equilibrium was adaptive, with a dynamic response to acute selective pressure, and adaptability was associated with chemoresistance. We propose a fitness landscape model where individual tumors have equilibrated stem cell population distributions along a CBC-RSC phenotypic axis. Cellular plasticity is represented by position shift along this axis and is influenced by cell-intrinsic, extrinsic, and therapeutic selective pressures. ispartof: CELL STEM CELL vol:29 issue:8 pages:1213-+ ispartof: location:United States status: published

Intestinal homeostasis is underpinned by LGR5+ve crypt-base columnar stem cells (CBCs), but following injury, dedifferentiation results in the emergence of LGR5-ve regenerative stem cell populations (RSCs), characterised by fetal transcriptional profiles. Neoplasia hijacks regenerative signalling, so we assessed the distribution of CBCs and RSCs in mouse and human intestinal tumors. Using combined molecular-morphological analysis we demonstrate variable expression of stem cell markers across a range of lesions. The degree of CBC-RSC admixture was associated with both epithelial mutation and microenvironmental signalling disruption, and could be mapped across disease molecular subtypes. The CBC-RSC equilibrium was adaptive, with a dynamic response to acute selective pressure, and adaptability was associated with chemoresistance. We propose a fitness landscape model where individual tumors have equilibrated stem cell population distributions along a CBC-RSC phenotypic axis. Cellular plasticity is represented by position shift along this axis, and is influenced by cell-intrinsic, extrinsic and therapeutic selective pressures.

Laju pertumbuhan penduduk yang terus meningkat berjalan seiringan dengan permintaan masyarakat pada suatu fasilitas pelayanan di bidang kesehatan, khususnya rumah sakit. Kabupaten Sumedang merupakan salah satu wilayah di Provinsi Jawa Barat, Indonesia yang memiliki jumlah penduduk cukup tinggi. Namun berdasarkan standar rasio tempat tidur rumah sakit dengan jumlah penduduk 1:1.000 yang dirilis oleh Kementerian Kesehatan, Kabupaten Sumedang belum memenuhi standar rasio tersebut. Penelitian ini bertujuan untuk menganalisis kondisi sebaran rumah sakit eksisting dan menentukan alternatif lokasi rumah sakit tipe C baru yang ideal. Metode yang digunakan adalah metode Sistem Informasi Geografis dengan pembobotan AHP (Analytical Hierarchy Process). Teknik analisis data berupa analisis spasial deskriptif, network analyst service area dan overlay. Hasil penelitian menunjukan bahwa kondisi sebaran rumah sakit eksisting mampu menjangkau 13 Kecamatan dari 26 Kecamatan di Kabupaten Sumedang berdasarkan radius 10 km. Alternatif lokasi rumah sakit baru terbagi menjadi lima kelas yakni klasifikasi sangat tidak sesuai tertinggi berada di Kecamatan Buahdua dengan luas 73,27 km2, klasifikasi tidak sesuai tertinggi berada di Kecamatan Jatigede dengan luas 47,74 km2, klasifikasi agak sesuai tertinggi berada di Kecamatan Buahdua dengan luas 34,63 km2, klasifikasi sesuai tertinggi berada di Kecamatan Sumedang Utara dengan luas 11,33 km2, dan klasifikasi sangat sesuai tertinggi berada di Kecamatan Jatinangor dengan luas 6,83 km2. Penelitian ini bermanfaat bagi masyarakat, pihak swasta, hingga pemerintah yang berkaitan dengan perencanaan pembangunan rumah sakit baru di suatu daerah.

Colorectal cancer (CRC) is highly prevalent in Western society, and increasing evidence indicates strong contributions of environmental factors and the intestinal microbiota to CRC initiation, progression and even metastasis. We have identified a synergistic inflammatory tumor-promoting mechanism through which the resident intestinal microbiota boosts invasive CRC development in an epithelial-to-mesenchymal transition-prone tissue environment. Intestinal epithelial cell (IEC)-specific transgenic expression of the epithelial-to-mesenchymal transition regulator Zeb2 in mice (Zeb2IEC-Tg/+) leads to increased intestinal permeability, myeloid cell-driven inflammation and spontaneous invasive CRC development. Zeb2IEC-Tg/+ mice develop a dysplastic colonic epithelium, which progresses to severely inflamed neoplastic lesions while the small intestinal epithelium remains normal. Zeb2IEC-Tg/+ mice are characterized by intestinal dysbiosis, and microbiota depletion with broad-spectrum antibiotics or germ-free rederivation completely prevents cancer development. Zeb2IEC-Tg/+ mice represent the first mouse model of spontaneous microbiota-dependent invasive CRC and will help us to better understand host–microbiome interactions driving CRC development in humans. Van Loo and colleagues report that loss of the Zeb2 regulator of epithelial-to-mesenchymal transition from the intestinal epithelium leads to inflammation, increased intestinal permeability and colorectal cancer development, which is enhanced by the resident intestinal microbiome.

Immunotherapy for metastatic colorectal cancer is effective only for mismatch repair-deficient tumors with high microsatellite instability that demonstrate immune infiltration, suggesting that tumor cells can determine their immune microenvironment. To understand this cross-talk, we analyzed the transcriptome of 91,103 unsorted single cells from 23 Korean and 6 Belgian patients. Cancer cells displayed transcriptional features reminiscent of normal differentiation programs, and genetic alterations that apparently fostered immunosuppressive microenvironments directed by regulatory T cells, myofibroblasts and myeloid cells. Intercellular network reconstruction supported the association between cancer cell signatures and specific stromal or immune cell populations. Our collective view of the cellular landscape and intercellular interactions in colorectal cancer provide mechanistic information for the design of efficient immuno-oncology treatment strategies.

BACKGROUND: FIRE-3 compared first-line therapy with FOLFIRI plus either cetuximab or bevacizumab in 592 KRAS exon 2 wild-type metastatic colorectal cancer (mCRC) patients. The consensus molecular subgroups (CMS) are grouping CRC samples according to their gene-signature in four different subtypes. Relevance of CMS for the treatment of mCRC has yet to be defined. PATIENTS AND METHODS: In this exploratory analysis, patients were grouped according to the previously published tumor CRC-CMSs. Objective response rates (ORR) were compared using chi-square test. Overall survival (OS) and progression-free survival (PFS) times were compared using Kaplan-Meier estimation, log-rank tests. Hazard ratios (HR) were estimated according to the Cox proportional hazard method. RESULTS: CMS classification could be determined in 438 out of 514 specimens available from the intent-to-treat (ITT) population (n = 592). Frequencies for the remaining 438 samples were as follows: CMS1 (14%), CMS2 (37%), CMS3 (15%), CMS4 (34%). For the 315 RAS wild-type tumors, frequencies were as follows: CMS1 (12%), CMS2 (41%), CMS3 (11%), CMS4 (34%). CMS distribution in right- versus (vs) left-sided primary tumors was as follows: CMS1 (27% versus 11%), CMS2 (28% versus 45%), CMS3 (10% versus 12%), CMS4 (35% versus 32%). Independent of the treatment, CMS was a strong prognostic factor for ORR (P = 0.051), PFS (P

The consensus molecular subtype (CMS) classification of colorectal cancer is based on bulk transcriptomics. The underlying epithelial cell diversity remains unclear. We analyzed 373,058 single-cell transcriptomes from 63 patients, focusing on 49,155 epithelial cells. We identified a pervasive genetic and transcriptomic dichotomy of malignant cells, based on distinct gene expression, DNA copy number and gene regulatory network. We recapitulated these subtypes in bulk transcriptomes from 3,614 patients. The two intrinsic subtypes, iCMS2 and iCMS3, refine CMS. iCMS3 comprises microsatellite unstable (MSI-H) cancers and one-third of microsatellite-stable (MSS) tumors. iCMS3 MSS cancers are transcriptomically more similar to MSI-H cancers than to other MSS cancers. CMS4 cancers had either iCMS2 or iCMS3 epithelium; the latter had the worst prognosis. We defined the intrinsic epithelial axis of colorectal cancer and propose a refined 'IMF' classification with five subtypes, combining intrinsic epithelial subtype (I), microsatellite instability status (M) and fibrosis (F). ispartof: NATURE GENETICS vol:54 issue:7 pages:963-+ ispartof: location:United States status: published

BACKGROUND & AIMS: Colorectal cancer is an epigenetically heterogeneous disease, however, the extent and spectrum of the CpG island methylator phenotype (CIMP) is not clear. METHODS: Genome-scale methylation and transcript expression were measured by DNA Methylation and RNA expression microarray in 216 unselected colorectal cancers, and findings were validated using The Cancer Genome Atlas 450K and RNA sequencing data. Mutations in epigenetic regulators were assessed using CIMP-subtyped Cancer Genome Atlas exomes. RESULTS: CIMP-high cancers dichotomized into CIMP-H1 and CIMP-H2 based on methylation profile. KRAS mutation was associated significantly with CIMP-H2 cancers, but not CIMP-H1 cancers. Congruent with increasing methylation, there was a stepwise increase in patient age from 62 years in the CIMP-negative subgroup to 75 years in the CIMP-H1 subgroup (P < .0001). CIMP-H1 predominantly comprised consensus molecular subtype 1 cancers (70%) whereas consensus molecular subtype 3 was over-represented in the CIMP-H2 subgroup (55%). Polycomb Repressive Complex-2 (PRC2)-marked loci were subjected to significant gene body methylation in CIMP cancers (P < 1.6 × 10-78). We identified oncogenes susceptible to gene body methylation and Wnt pathway antagonists resistant to gene body methylation. CIMP cluster-specific mutations were observed in chromatin remodeling genes, such as in the SWItch/Sucrose Non-Fermentable and Chromodomain Helicase DNA-Binding gene families. CONCLUSIONS: There are 5 clinically and molecularly distinct subgroups of colorectal cancer. We show a striking association between CIMP and age, sex, and tumor location, and identify a role for gene body methylation in the progression of serrated neoplasia. These data support our recent findings that CIMP is uncommon in young patients and that BRAF mutant polyps in young patients may have limited potential for malignant progression. ispartof: CELLULAR AND MOLECULAR GASTROENTEROLOGY AND HEPATOLOGY vol:8 issue:2 pages:269-290 ispartof: location:United States status: published