Concepedia

A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy

Georgios Kaissis, Sebastian Ziegelmayer, Fabian Lohöfer, Katja Steiger, Hana Algül, Alexander Muckenhuber, Hsi-Yu Yen, Ernst J. Rummeny, Roland M. Schmid, Wilko Weichert,

PLoS ONE · 2019 · 74 citations · 31 references

DOIFull text

Open access

Abstract

The machine-learning based analysis of radiomic features enables the prediction of subtypes of PDAC, which are highly relevant for disease-free and overall patient survival and response to chemotherapy.

References

31

XGBoost

2016 · 44.2K citations · Full text

, , +16

Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness

Michiru Nishita, Seung‐Yeol Park, Tadashi Nishio et al. · Scientific Reports · 2017 · 15.8K citations · Full text

, , +20

Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease

Valentina Cappello, Laura Marchetti, Paola Parlanti et al. · Scientific Reports · 2016 · 13.1K citations · Full text

FOLFIRINOX versus Gemcitabine for Metastatic Pancreatic Cancer

Thierry Conroy, Françoise Desseigne, Marc Ychou et al. · New England Journal of Medicine · 2011 · 7.6K citations · Full text

Increased Survival in Pancreatic Cancer with nab-Paclitaxel plus Gemcitabine

Daniel D. Von Hoff, Thomas J. Ervin, Francis P. Arena et al. · New England Journal of Medicine · 2013 · 6.5K citations