Animal Modeling of Cancer Pathology and Studying Tumor Response to Therapy

2012 ◽  
Vol 13 (12) ◽  
pp. 1535-1547 ◽  
Author(s):  
Simon P. Langdon
2020 ◽  
pp. 000313482098255
Author(s):  
Michael D. Watson ◽  
Maria R. Baimas-George ◽  
Keith J. Murphy ◽  
Ryan C. Pickens ◽  
David A. Iannitti ◽  
...  

Background Neoadjuvant therapy may improve survival of patients with pancreatic adenocarcinoma; however, determining response to therapy is difficult. Artificial intelligence allows for novel analysis of images. We hypothesized that a deep learning model can predict tumor response to NAC. Methods Patients with pancreatic cancer receiving neoadjuvant therapy prior to pancreatoduodenectomy were identified between November 2009 and January 2018. The College of American Pathologists Tumor Regression Grades 0-2 were defined as pathologic response (PR) and grade 3 as no response (NR). Axial images from preoperative computed tomography scans were used to create a 5-layer convolutional neural network and LeNet deep learning model to predict PRs. The hybrid model incorporated decrease in carbohydrate antigen 19-9 (CA19-9) of 10%. Accuracy was determined by area under the curve. Results A total of 81 patients were included in the study. Patients were divided between PR (333 images) and NR (443 images). The pure model had an area under the curve (AUC) of .738 ( P < .001), whereas the hybrid model had an AUC of .785 ( P < .001). CA19-9 decrease alone was a poor predictor of response with an AUC of .564 ( P = .096). Conclusions A deep learning model can predict pathologic tumor response to neoadjuvant therapy for patients with pancreatic adenocarcinoma and the model is improved with the incorporation of decreases in serum CA19-9. Further model development is needed before clinical application.


1997 ◽  
Vol 15 (3) ◽  
pp. 323-334 ◽  
Author(s):  
M. Vaidyanathan ◽  
L.P. Clarke ◽  
L.O. Hall ◽  
C. Heidtman ◽  
R. Velthuizen ◽  
...  

2008 ◽  
Vol 35 (6Part20) ◽  
pp. 2885-2885
Author(s):  
E Bullitt

2020 ◽  
Vol 31 (4) ◽  
pp. 1025-1051 ◽  
Author(s):  
Dongjian Zhang ◽  
Qiaomei Jin ◽  
Cuihua Jiang ◽  
Meng Gao ◽  
Yicheng Ni ◽  
...  

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi24-vi24
Author(s):  
Tulika Ranjan ◽  
Dawit Aregawi ◽  
Christine Lu-Emerson ◽  
Jason Schroeder ◽  
Mark Anderson ◽  
...  

Abstract Stupp treatment protocol for patients with glioblastoma (GBM) has improved the median overall survival to 14.6 months. However, no investigations have defined effective strategies against recurrence and the prognosis of recurrent GBM patients remains poor. Personalized medicine with assay-guided treatment targeting chemotherapy resistant cancer stem cells (CSCs) alongside the bulk tumor cells is a new paradigm in cancer treatment that may result in improved patient’s outcome. We are using ChemoID, a CLIA and CAP certified CSC cytotoxicity assay for predicting response to chemotherapeutic agents. Our prospective analysis of 61 GBM patients demonstrated that ChemoID-guided treatment significantly improved tumor response. For every 5% increase in cell kill of CSCs by assay-guided chemotherapy, 12-month patient response (non-recurrence of cancer) increased 2.5-fold, OR=2.3 (p=0.01). We also found that median recurrence time was 20-months versus 3-months for patients with a positive (>40% cell kill) CSC test versus negative, whereas median recurrence time was 13-months versus 4-months for patients with a positive (>55% cell kill) bulk test versus negative. We are conducting a multi-institutional phase-III clinical trial (NCT03632135) to determine the clinical validity of the ChemoID assay as a predictor of clinical response in recurrent GBM. The study has been designed as a parallel group controlled clinical trial and the participants are randomized to either standard of care chemotherapy chosen by the physician or ChemoID-guided therapy. Response to therapy will be measured by MRI imaging using RANO criteria. Primary endpoint of median overall survival (OS) and secondary endpoints of OS at 6, 9, and 12 months, median progression free survival (PFS), PFS at 4, 6, 9, and 12 months, objective tumor response, time to recurrence, and quality of life will be measured. Trial is open and currently 22 subjects have been enrolled. Interim analysis of the trial will be conducted in approximately 12 months.


2009 ◽  
Vol 50 (Suppl_1) ◽  
pp. 1S-10S ◽  
Author(s):  
W. A. Weber

2009 ◽  
Vol 50 (11) ◽  
pp. 1760-1769 ◽  
Author(s):  
H. A. Jacene ◽  
S. Leboulleux ◽  
S. Baba ◽  
D. Chatzifotiadis ◽  
B. Goudarzi ◽  
...  

2013 ◽  
Vol 3 (2) ◽  
pp. S5
Author(s):  
R. Farjam ◽  
C.I. Tsien ◽  
F.Y. Feng ◽  
J.A. Hayman ◽  
T.S. Lawrence ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document