Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
216
result(s) for
"Yuanqing, Yan"
Sort by:
Ancient China and its Eurasian neighbors : artifacts, identity and death in the frontier, 3000-700 BCE
\"This volume examines the role of objects in the region north of early dynastic state centers, at the intersection of Ancient China and Eurasia, a large area that stretches from Xinjiang to the China Sea, from c.3000 BCE to the mid-eighth century BCE. This area was a frontier, an ambiguous space that lay at the margins of direct political control by the metropolitan states, where local and colonial ideas and practices were reconstructed transculturally. These identities were often merged and displayed in material culture. Types of objects, styles, and iconography were often hybrids or new to the region, as were the tomb assemblages in which they were deposited and found. Patrons commissioned objects that marked a symbolic vision of place and person and that could mobilize support, legitimize rule, and bind people together.\"--Back cover.
Book
Leukemia stemness and co-occurring mutations drive resistance to IDH inhibitors in acute myeloid leukemia
Allosteric inhibitors of mutant IDH1 or IDH2 induce terminal differentiation of the mutant leukemic blasts and provide durable clinical responses in approximately 40% of acute myeloid leukemia (AML) patients with the mutations. However, primary resistance and acquired resistance to the drugs are major clinical issues. To understand the molecular underpinnings of clinical resistance to IDH inhibitors (IDHi), we perform multipronged genomic analyses (DNA sequencing, RNA sequencing and cytosine methylation profiling) in longitudinally collected specimens from 60 IDH1- or IDH2-mutant AML patients treated with the inhibitors. The analysis reveals that leukemia stemness is a major driver of primary resistance to IDHi, whereas selection of mutations in
RUNX1
/
CEBPA
or
RAS
-
RTK
pathway genes is the main driver of acquired resistance to IDHi, along with
BCOR
, homologous
IDH
gene, and
TET2
. These data suggest that targeting stemness and certain high-risk co-occurring mutations may overcome resistance to IDHi in AML.
The regulation of resistance to IDH inhibitors in acute myeloid leukaemia is not completely understood. Here the authors reveal with integrative multi-omics analyses that stemness features are major drivers of primary resistance, while high-risk mutations drive acquired resistance.
Journal Article
High throughput single cell long-read sequencing analyses of same-cell genotypes and phenotypes in human tumors
Single-cell nanopore sequencing of full-length mRNAs transforms single-cell multi-omics studies. However, challenges include high sequencing errors and dependence on short-reads and/or barcode whitelists. To address these, we develop scNanoGPS to calculate same-cell genotypes (mutations) and phenotypes (gene/isoform expressions) without short-read nor whitelist guidance. We apply scNanoGPS onto 23,587 long-read transcriptomes from 4 tumors and 2 cell-lines. Standalone, scNanoGPS deconvolutes error-prone long-reads into single-cells and single-molecules, and simultaneously accesses both phenotypes and genotypes of individual cells. Our analyses reveal that tumor and stroma/immune cells express distinct combination of isoforms (DCIs). In a kidney tumor, we identify 924 DCI genes involved in cell-type-specific functions such as
PDE10A
in tumor cells and
CCL3
in lymphocytes. Transcriptome-wide mutation analyses identify many cell-type-specific mutations including
VEGFA
mutations in tumor cells and
HLA-A
mutations in immune cells, highlighting the critical roles of different mutant populations in tumors. Together, scNanoGPS facilitates applications of single-cell long-read sequencing technologies.
There is a need for methods that allow the analysis of single-cell long-read sequencing data without depending on known barcode lists or short-read sequencing. Here, the authors develop scNanoGPS, a tool that can independently deconvolute long reads into single cells and single molecules, and apply it on tumour and cell line data.
Journal Article
Metabolic stress induces GD2+ cancer stem cell-like phenotype in triple-negative breast cancer
BackgroundMetabolic stress resulting from nutrient deficiency is one of the hallmarks of a growing tumour. Here, we tested the hypothesis that metabolic stress induces breast cancer stem-like cell (BCSC) phenotype in triple-negative breast cancer (TNBC).MethodsFlow cytometry for GD2 expression, mass spectrometry and Ingenuity Pathway Analysis for metabolomics, bioinformatics, in vitro tumorigenesis and in vivo models were used.ResultsSerum/glucose deprivation not only increased stress markers but also enhanced GD2+ BCSC phenotype and function in TNBC cells. Global metabolomics profiling identified upregulation of glutathione biosynthesis in GD2high cells, suggesting a role of glutamine in the BCSC phenotype. Cueing from the upregulation of the glutamine transporters in primary breast tumours, inhibition of glutamine uptake using small-molecule inhibitor V9302 reduced GD2+ cells by 70–80% and BCSC characteristics in TNBC cells. Mechanistic studies revealed inhibition of the mTOR pathway and induction of ferroptosis by V9302 in TNBC cells. Finally, inhibition of glutamine uptake significantly reduced in vivo tumour growth in a TNBC patient-derived xenograft model using NSG (non-obese diabetic/severe combined immunodeficiency with a complete null allele of the IL-2 receptor common gamma chain) mice.ConclusionHere, we show metabolic stress results in GD2+ BCSC phenotype in TNBC and glutamine contributes to GD2+ phenotype, and targeting the glutamine transporters could complement conventional chemotherapy in TNBC.
Journal Article
Anaplastic transformation in thyroid cancer revealed by single-cell transcriptomics
The deadliest anaplastic thyroid cancer (ATC) often transforms from indolent differentiated thyroid cancer (DTC); however, the complex intratumor transformation process is poorly understood. We investigated an anaplastic transformation model by dissecting both cell lineage and cell fate transitions using single-cell transcriptomic and genetic alteration data from patients with different subtypes of thyroid cancer. The resulting spectrum of ATC transformation included stress-responsive DTC cells, inflammatory ATC cells (iATCs), and mitotic-defective ATC cells and extended all the way to mesenchymal ATC cells (mATCs). Furthermore, our analysis identified 2 important milestones: (a) a diploid stage, in which iATC cells were diploids with inflammatory phenotypes and (b) an aneuploid stage, in which mATCs gained aneuploid genomes and mesenchymal phenotypes, producing excessive amounts of collagen and collagen-interacting receptors. In parallel, cancer-associated fibroblasts showed strong interactions among mesenchymal cell types, macrophages shifted from M1 to M2 states, and T cells reprogrammed from cytotoxic to exhausted states, highlighting new therapeutic opportunities for the treatment of ATC.
Journal Article
Correction: Diet Modification and Metformin Have a Beneficial Effect in a Fly Model of Obesity and Mucormycosis
[This corrects the article DOI: 10.1371/journal.pone.0108635.].
Journal Article
Differences in Genomic Alterations Between Brain Metastases and Primary Tumors
Abstract
BACKGROUND
Brain metastases (BMs) occur in ∼1/3 of cancer patients and are associated with poor prognosis. Genomic alterations contribute to BM development; however, mutations that predispose and promote BM development are poorly understood.
OBJECTIVE
To identify differences in genomic alterations between BM and primary tumors.
METHODS
A retrospective cohort of 144 BM patients were tested for genomic alterations (85 lung, 21 breast, 14 melanoma, 4 renal, 4 colon, 3 prostate, 4 others, and 9 unknown carcinomas) by a next-generation sequencing assay interrogating 315 genes. The differences in genomic alterations between BM and primary tumors from COSMIC and TCGA were evaluated by chi-square or Fisher's exact test. Overall survival curves were plotted using the Kaplan-Meier method.
RESULTS
The comparison of BM and primary tumors revealed genes that were mutated in BM with increased frequency: TP53, ATR, and APC (lung adenocarcinoma); ARID1A and FGF10 (lung small-cell); PIK3CG, NOTCH3, and TET2 (lung squamous); ERBB2, BRCA2, and AXL1 (breast carcinoma); CDKN2A/B, PTEN, RUNX1T1, AXL, and FLT4 (melanoma); and ATM, AR, CDKN2A/B, TERT, and TSC1 (renal clear-cell carcinoma). Moreover, our results indicate that lung adenocarcinoma BM patients with CREBBP, GPR124, or SPTA1 mutations have a worse prognosis. Similarly, ERBB2, CDK12, or TP53 mutations are associated with worse prognosis in breast cancer BM patients.
CONCLUSION
The present study demonstrates significant differences in the frequency of mutations between primary tumors and BM and identifies targetable alterations and genes that correlate with prognosis. Identifying the genomic alterations that are enriched in metastatic central nervous system tumors could help our understanding of BM development and improve patient management.
Journal Article
Cerebrospinal fluid ctDNA and metabolites are informative biomarkers for the evaluation of CNS germ cell tumors
Serum and cerebrospinal fluid (CSF) levels of α-fetoprotein and β-subunit of human chorionic gonadotropin are used as biomarkers for the management of central nervous system (CNS) germ cell tumors (GCTs). However, additional discriminating biomarkers are required. Especially, biomarkers to differentiate non-germinomatous germ cell tumors (NGGCTs) from germinomas are critical, as these have a distinct prognosis. We investigated CSF samples from 12 patients with CNS-GCT patients (8 germinomas and 4 NGGCTs). We analyzed circulating tumor DNA (ctDNA) in CSF to detect mutated genes. We also used liquid chromatography-mass spectrometry to characterize metabolites in CSF. We detected
KIT
and/or
NRAS
mutation, known as frequently mutated genes in GCTs, in 3/12 (25%) patients. We also found significant differences in the abundance of 15 metabolites between control and GCT, with unsupervised hierarchical clustering analysis. Metabolites related to the TCA cycle were increased in GCTs. Urea, ornithine, and short-chain acylcarnitines were decreased in GCTs. Moreover, we also detected several metabolites (e.g., betaine, guanidine acetic acid, and 2-aminoheptanoic acid) that displayed significant differences in abundance in patients with germinomas and NGGCTs. Our results suggest that ctDNA and metabolites in CSF can serve as novel biomarkers for CNS-GCTs and can be useful to differentiate germinomas from NGGCTs.
Journal Article
Bone marrow stromal cells induce an ALDH+ stem cell-like phenotype and enhance therapy resistance in AML through a TGF-β-p38-ALDH2 pathway
The bone marrow microenvironment (BME) in acute myeloid leukemia (AML) consists of various cell types that support the growth of AML cells and protect them from chemotherapy. Mesenchymal stromal cells (MSCs) in the BME have been shown to contribute immensely to leukemogenesis and chemotherapy resistance in AML cells. However, the mechanism of stroma-induced chemotherapy resistance is not known. Here, we hypothesized that stromal cells promote a stem-like phenotype in AML cells, thereby inducing tumorigenecity and therapy resistance. To test our hypothesis, we co-cultured AML cell lines and patient samples with BM-derived MSCs and determined aldehyde dehydrogenase (ALDH) activity and performed gene expression profiling by RNA sequencing. We found that the percentage of ALDH
+
cells increased dramatically when AML cells were co-cultured with MSCs. However, among the 19 ALDH isoforms, ALDH2 and ALDH1L2 were the only two that were significantly upregulated in AML cells co-cultured with stromal cells compared to cells cultured alone. Mechanistic studies revealed that the transforming growth factor-β1 (TGF-β1)-regulated gene signature is activated in AML cells co-cultured with MSCs. Knockdown of TGF-β1 in BM-MSCs inhibited stroma-induced ALDH activity and ALDH2 expression in AML cells, whereas treatment with recombinant TGF-β1 induced the ALDH
+
phenotype in AML cells. We also found that TGF-β1-induced ALDH2 expression in AML cells is mediated by the non-canonical pathway through the activation of p38. Interestingly, inhibition of ALDH2 with diadzin and CVT-10216 significantly inhibited MSC-induced ALDH activity in AML cells and sensitized them to chemotherapy, even in the presence of MSCs. Collectively, BM stroma induces ALDH2 activity in AML cells through the non-canonical TGF-β pathway. Inhibition of ALDH2 sensitizes AML cells to chemotherapy.
Journal Article
Integrative genomic analysis of adult mixed phenotype acute leukemia delineates lineage associated molecular subtypes
Mixed phenotype acute leukemia (MPAL) is a rare subtype of acute leukemia characterized by leukemic blasts presenting myeloid and lymphoid markers. Here we report data from integrated genomic analysis on 31 MPAL samples and compare molecular profiling with that from acute myeloid leukemia (AML), B cell acute lymphoblastic leukemia (B-ALL), and T cell acute lymphoblastic leukemia (T-ALL). Consistent with the mixed immunophenotype, both AML-type and ALL-type mutations are detected in MPAL. Myeloid-B and myeloid-T MPAL show distinct mutation and methylation signatures that are associated with differences in lineage-commitment gene expressions. Genome-wide methylation comparison among MPAL, AML, B-ALL, and T-ALL sub-classifies MPAL into AML-type and ALL-type MPAL, which is associated with better clinical response when lineage-matched therapy is given. These results elucidate the genetic and epigenetic heterogeneity of MPAL and its genetic distinction from AML, B-ALL, and T-ALL and further provide proof of concept for a molecularly guided precision therapy approach in MPAL.
Mixed phenotype acute leukemia (MPAL) is a rare leukemia that presents both myeloid and lymphoid markers on blasts. Here the authors perform genomic analysis to show MPAL involves genetic and epigenetic heterogeneity and is genetically distinct from AML, B-ALL, and T-ALL.
Journal Article