Spatial transcriptomics reveals the heterogeneity and FGG+CRP+ inflammatory cancer-associated fibroblasts replace islets in pancreatic ductal adenocarcinoma

Background Understanding the spatial heterogeneity of the tumor microenvironment (TME) in pancreatic cancer (PC) remains challenging. Methods In this study, we performed spatial transcriptomics (ST) to investigate the gene expression features across one normal pancreatic tissue, PC tissue, adjacent tumor tissue, and tumor stroma. We divided 18,075 spatial spots into 22 clusters with t-distributed stochastic neighbor embedding based on gene expression profiles. The biological functions and signaling pathways involved in each cluster were analyzed with gene set enrichment analysis. Results The results revealed that KRT13+FABP5+ malignant cell subpopulation had keratinization characteristics in the tumor tissue. Fibroblasts from adjacent tumor tissue exhibited a tumor-inhibiting role such as “B-cell activation” and “positive regulation of leukocyte activation.” The FGG+CRP+ inflammatory cancer-associated fibroblasts replaced the islets in tumor stroma. During PC progression, the damage to pancreatic structure and function was heavier in the pancreatic exocrine (AMYA2+PRSS1+) than in the endocrine (INS+GCG+). Conclusion Our results revealed the spatial heterogeneity of dynamic changes and highlighted the significance of impaired exocrine function in PC.

[1]  Rong Liu,et al.  Patterns of immune infiltration and survival in endocrine therapy-treated ER-positive breast cancer: A computational study of 1900 patients. , 2022, Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie.

[2]  Joshua F. McMichael,et al.  Spatially restricted drivers and transitional cell populations cooperate with the microenvironment in untreated and chemo-resistant pancreatic cancer , 2022, Nature Genetics.

[3]  U. Rix,et al.  IGF-binding proteins secreted by cancer-associated fibroblasts induce context-dependent drug sensitization of lung cancer cells , 2022, Science Signaling.

[4]  Yin Shen,et al.  Coordinated transcriptional and catabolic programs support iron dependent adaptation to RAS-MAPK pathway inhibition in pancreatic cancer. , 2022, Cancer discovery.

[5]  H. Deng,et al.  Identification of novel rheumatoid arthritis-associated MiRNA-204-5p from plasma exosomes , 2022, Experimental & molecular medicine.

[6]  Bingying Zhou,et al.  Dysregulation of interaction between LOXhigh fibroblast and smooth muscle cells contributes to the pathogenesis of aortic dissection , 2022, Theranostics.

[7]  D. Reichman,et al.  Targeted activation in localized protein environments via deep red photoredox catalysis , 2021, Nature Chemistry.

[8]  L. Tang,et al.  SYT8 promotes pancreatic cancer progression via the TNNI2/ERRα/SIRT1 signaling pathway , 2021, Cell death discovery.

[9]  S. Sen,et al.  ECM stiffness-tuned exosomes drive breast cancer motility through thrombospondin-1. , 2021, Biomaterials.

[10]  Junming Xu,et al.  Single-cell transcriptomics reveals heterogeneous progression and EGFR activation in pancreatic adenosquamous carcinoma , 2021, International journal of biological sciences.

[11]  S. Dhanasekaran,et al.  Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response , 2021, Proceedings of the National Academy of Sciences.

[12]  M. Yan,et al.  Elevated Serum FGG Levels Prognosticate and Promote the Disease Progression in Prostate Cancer , 2021, Frontiers in Genetics.

[13]  I. Yanai,et al.  Author Correction: Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas , 2020, Nature Biotechnology.

[14]  J. Fukuda,et al.  Fatty-acid-induced FABP5/HIF-1 reprograms lipid metabolism and enhances the proliferation of liver cancer cells , 2020, Communications biology.

[15]  T. Ohta,et al.  Genomic profiling reveals heterogeneous populations of ductal carcinoma in situ of the breast , 2020, medRxiv.

[16]  J. Valle,et al.  Pancreatic cancer , 2020, The Lancet.

[17]  Zhiyi Wang,et al.  Small molecule proteomics quantifies differences between normal and fibrotic pulmonary extracellular matrices. , 2020, Chinese medical journal.

[18]  T. Hackert,et al.  Metastasis-associated fibroblasts promote angiogenesis in metastasized pancreatic cancer via the CXCL8 and the CCL2 axes , 2020, Scientific Reports.

[19]  Itai Yanai,et al.  Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas , 2020, Nature Biotechnology.

[20]  F. Sanz,et al.  The DisGeNET knowledge platform for disease genomics: 2019 update , 2019, Nucleic Acids Res..

[21]  Alireza Hadj Khodabakhshi,et al.  Metascape provides a biologist-oriented resource for the analysis of systems-level datasets , 2019, Nature Communications.

[22]  M. Karsdal,et al.  Collagens and Cancer associated fibroblasts in the reactive stroma and its relation to Cancer biology , 2019, Journal of experimental & clinical cancer research : CR.

[23]  Serge Haan,et al.  In search of definitions: Cancer‐associated fibroblasts and their markers , 2019, International journal of cancer.

[24]  Xiaolong Liu,et al.  FGG promotes migration and invasion in hepatocellular carcinoma cells through activating epithelial to mesenchymal transition , 2019, Cancer management and research.

[25]  K. Shirabe,et al.  Conophylline suppresses pancreatic cancer desmoplasia and cancer‐promoting cytokines produced by cancer‐associated fibroblasts , 2018, Cancer science.

[26]  By Michael Marron-stearns 2019 Update : What to , 2019 .

[27]  P. Mehlen,et al.  Notch Signaling in the Tumor Microenvironment. , 2018, Cancer cell.

[28]  Pengliang Wang,et al.  Novel prognostic biomarkers of gastric cancer based on gene expression microarray: COL12A1, GSTA3, FGA and FGG , 2018, Molecular medicine reports.

[29]  R. Vernal,et al.  Human periodontal ligament fibroblasts synthesize C‐reactive protein and Th‐related cytokines in response to interleukin (IL)‐6 trans‐signalling , 2018, International endodontic journal.

[30]  Mithat Gönen,et al.  Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer , 2017, Nature.

[31]  M. Korc,et al.  Diabetes, Pancreatogenic Diabetes, and Pancreatic Cancer , 2017, Diabetes.

[32]  I. Jurisica,et al.  An Integrated Approach Identifies Mediators of Local Recurrence in Head and Neck Squamous Carcinoma , 2017, Clinical Cancer Research.

[33]  D. Zaletaev,et al.  Novel fusion transcripts in bladder cancer identified by RNA-seq. , 2016, Cancer letters.

[34]  U. Nöthlings,et al.  Inflammatory and metabolic biomarkers and risk of liver and biliary tract cancer , 2014, Hepatology.

[35]  Q. Zou,et al.  PaGenBase: A Pattern Gene Database for the Global and Dynamic Understanding of Gene Function , 2013, PloS one.

[36]  L. Holmberg,et al.  A Comprehensive Analysis of Human Gene Expression Profiles Identifies Stromal Immunoglobulin κ C as a Compatible Prognostic Marker in Human Solid Tumors , 2012, Clinical Cancer Research.

[37]  K. Karube,et al.  Genomic profiling combined with gene expression profiling in primary central nervous system lymphoma. , 2011, Blood.

[38]  Y. Takada,et al.  The COOH-Terminal Globular Domain of Fibrinogen γ Chain Suppresses Angiogenesis and Tumor Growth , 2006 .

[39]  Pablo Tamayo,et al.  Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[40]  Osamu Yoshie,et al.  Colocalization of the Tetraspanins, CO-029 and CD151, with Integrins in Human Pancreatic Adenocarcinoma: Impact on Cell Motility , 2005, Clinical Cancer Research.