作者
Patrick Micke, Carina Strell, Johanna Mattsson, Alfonso Martín-Bernabé, Hans Brunnström, Jutta Huvila, Malin Sund, Fredrik Wärnberg, Fredrik Ponten, Bengt Glimelius, Ina Hrynchyk, Siarhei Mauchanski, Salome Khelashvili, Gemma Garcia-Vicién, David G Molleví, Per-Henrik Edqvist, Sara Corvigno, Hanna Dahlstrand, Johan Botling, Ulrika Segersten, Agnieszka Krzyzanowska, Anders Bjartell, Jacob Elebro, Margareta Heby, Sebastian Lundgren, Charlotta Hedner, David Borg, Jenny Brändstedt, Hanna Sartor, Per-Uno Malmström, Martin Johansson, Björn Nodin, Max Backman, Cecilia Lindskog, Karin Jirström, Artur Mezheyeuski
发表日期
2021/3/1
期刊
EBioMedicine
卷号
65
出版商
Elsevier
简介
Background
The development of a reactive tumour stroma is a hallmark of tumour progression and pronounced tumour stroma is generally considered to be associated with clinical aggressiveness. The variability between tumour types regarding stroma fraction, and its prognosis associations, have not been systematically analysed.
Methods
Using an objective machine-learning method we quantified the tumour stroma in 16 solid cancer types from 2732 patients, representing retrospective tissue collections of surgically resected primary tumours. Image analysis performed tissue segmentation into stromal and epithelial compartment based on pan-cytokeratin staining and autofluorescence patterns.
Findings
The stroma fraction was highly variable within and across the tumour types, with kidney cancer showing the lowest and pancreato-biliary type periampullary cancer showing the highest stroma proportion (median 19 …
学术搜索中的文章
P Micke, C Strell, J Mattsson, A Martín-Bernabé… - EBioMedicine, 2021