scholarly journals Microenvironment drives cell state, plasticity, and drug response in pancreatic cancer

Cell ◽  
2021 ◽  
Vol 184 (25) ◽  
pp. 6119-6137.e26
Author(s):  
Srivatsan Raghavan ◽  
Peter S. Winter ◽  
Andrew W. Navia ◽  
Hannah L. Williams ◽  
Alan DenAdel ◽  
...  
Exploration ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 21-34 ◽  
Author(s):  
Juan Liu ◽  
Chao Chen ◽  
Tuo Wei ◽  
Odile Gayet ◽  
Céline Loncle ◽  
...  

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Karol Szlachta ◽  
Cem Kuscu ◽  
Turan Tufan ◽  
Sara J. Adair ◽  
Stephen Shang ◽  
...  

Author(s):  
Joe T. Sharick ◽  
Alexander A. Parikh ◽  
Jillian K. Johnson ◽  
Lingjun Li ◽  
Cheri A. Pasch ◽  
...  

Author(s):  
Irene Y. Xie ◽  
Laura Tamblyn ◽  
Karen Ng ◽  
Eugenia Flores-Figueroa ◽  
Julie M. Wilson ◽  
...  

Pancreas ◽  
2016 ◽  
Vol 45 (6) ◽  
pp. 863-869 ◽  
Author(s):  
Alex J. Walsh ◽  
Jason A. Castellanos ◽  
Nagaraj S. Nagathihalli ◽  
Nipun B. Merchant ◽  
Melissa C. Skala

Cells ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 653
Author(s):  
Masanori Oshi ◽  
Yoshihisa Tokumaru ◽  
Swagoto Mukhopadhyay ◽  
Li Yan ◽  
Ryusei Matsuyama ◽  
...  

Annexin A1 (ANXA1) is a calcium-dependent phospholipid-binding protein overexpressed in pancreatic cancer (PC). ANXA1 expression has been shown to take part in a wide variety of cancer biology, including carcinogenesis, cell proliferation, invasion, apoptosis, and metastasis, in addition to the initially identified anti-inflammatory effect in experimental settings. We hypothesized that ANXA1 expression is associated with cell proliferation and survival in PC patients. To test this hypothesis, we analyzed 239 PC patients in The Cancer Genome Atlas (TCGA) and GSE57495 cohorts. ANXA1 expression correlated with epithelial–mesenchymal transition (EMT) but weakly with angiogenesis in PC patients. ANXA1-high PC was significantly associated with a high fraction of fibroblasts and keratinocytes in the tumor microenvironment. ANXA1 high PC enriched multiple malignant gene sets, including hypoxia, tumor necrosis factor (TNF)-α signaling via nuclear factor-kappa B (NF-kB), and MTORC1, as well as apoptosis, protein secretion, glycolysis, and the androgen response gene sets consistently in both cohorts. ANXA1 expression was associated with TP53 mutation alone but associated with all KRAS, p53, E2F, and transforming growth factor (TGF)-β signaling pathways and also associated with homologous recombination deficiency in the TCGA cohort. ANXA1 high PC was associated with a high infiltration of T-helper type 2 cells in the TME, with advanced histological grade and MKI67 expression, as well as with a worse prognosis regardless of the grade. ANXA1 expression correlated with a sensitivity to gemcitabine, doxorubicin, and 5-fluorouracil in PC cell lines. In conclusion, ANXA1 expression is associated with EMT, cell proliferation, survival, and the drug response in PC.


2019 ◽  
Author(s):  
Joe T Sharick ◽  
Christine M Walsh ◽  
Carley M Sprackling ◽  
Cheri A Pasch ◽  
Alexander A Parikh ◽  
...  

New tools are needed to match pancreatic cancer patients with effective treatments. Patient-derived organoids offer a high-throughput platform to personalize treatments and discover novel therapies. Currently, methods to evaluate drug response in organoids are limited because they cannot be completed in a clinically relevant time frame, only evaluate response at one time point, and most importantly, overlook cellular heterogeneity. In this study, non-invasive optical metabolic imaging (OMI) of cellular heterogeneity in organoids was evaluated as a predictor of clinical treatment response. Organoids were generated from fresh patient tissue samples acquired during surgery and treated with the same drugs as the patient's prescribed adjuvant treatment. OMI measurements of heterogeneity in response to this treatment were compared to later patient response, specifically to the time to recurrence following surgery. OMI was sensitive to patient-specific treatment response in as little as 24 hours. OMI distinguished subpopulations of cells with divergent and dynamic responses to treatment in living organoids without the use of labels or dyes. OMI of organoids agreed with long-term therapeutic response in patients. With these capabilities, OMI could serve as a sensitive high-throughput tool to identify optimal therapies for individual pancreatic cancer patients, and to develop new effective therapies that address cellular heterogeneity in pancreatic cancer.


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