Hyppää sisältöön
    • Suomeksi
    • In English
  • Suomeksi
  • In English
  • Kirjaudu
Näytä aineisto 
  •   Etusivu
  • 3. UTUCris-artikkelit
  • Rinnakkaistallenteet
  • Näytä aineisto
  •   Etusivu
  • 3. UTUCris-artikkelit
  • Rinnakkaistallenteet
  • Näytä aineisto
JavaScript is disabled for your browser. Some features of this site may not work without it.

The prognostic impact of the tumour stroma fraction: A machine learning-based analysis in 16 human solid tumour types

Lindskog Cecilia; Martin-Bernabé Alfonso; Mattsson Johanna; Heby Margareta; Malmström Per-Uno; Garcia-Vicién Gemma; Nodin Björn; Micke Patrick; Mauchanski Siarhei; Mezheyeuski Artur; Khelashvili Salome; Brunnström Hans; Elebro Jacob; Botling Johan; Wärnberg Fredrik; Brändstedt Jenny; Sartor Hanna; Segersten Ulrika; Lundgren Sebastian; Ponten Fredrik; Backman Max; Bjartell Anders; Dahlstrand Hanna; Corvigno Sara; Reilly Aine O; Strell Carina; Jirström Karin; Huvila Jutta; Mollevi David G; Borg David; Sund Malin; Hrynchyk Ina; Glimelius Bengt; Edqvist Per-Henrik; Krzyzanowska Agnieszka; Hedner Charlotta; Johansson Martin

The prognostic impact of the tumour stroma fraction: A machine learning-based analysis in 16 human solid tumour types

Lindskog Cecilia
Martin-Bernabé Alfonso
Mattsson Johanna
Heby Margareta
Malmström Per-Uno
Garcia-Vicién Gemma
Nodin Björn
Micke Patrick
Mauchanski Siarhei
Mezheyeuski Artur
Khelashvili Salome
Brunnström Hans
Elebro Jacob
Botling Johan
Wärnberg Fredrik
Brändstedt Jenny
Sartor Hanna
Segersten Ulrika
Lundgren Sebastian
Ponten Fredrik
Backman Max
Bjartell Anders
Dahlstrand Hanna
Corvigno Sara
Reilly Aine O
Strell Carina
Jirström Karin
Huvila Jutta
Mollevi David G
Borg David
Sund Malin
Hrynchyk Ina
Glimelius Bengt
Edqvist Per-Henrik
Krzyzanowska Agnieszka
Hedner Charlotta
Johansson Martin
Katso/Avaa
Publisher's PDF (986.2Kb)
Lataukset: 

ELSEVIER
doi:10.1016/j.ebiom.2021.103269
Näytä kaikki kuvailutiedot
Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2021042821025
Tiivistelmä

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% and 73% respectively). Adjusted Cox regression models revealed both positive (pancreato-biliary type periampullary cancer and oestrogen negative breast cancer, HR(95%CI)=0.56(0.34-0.92) and HR (95%CI)=0.41(0.17-0.98) respectively) and negative (intestinal type periampullary cancer, HR(95%CI)=3.59 (1.49-8.62)) associations of the tumour stroma fraction with survival.

Interpretation: Our study provides an objective quantification of the tumour stroma fraction across major types of solid cancer. Findings strongly argue against the commonly promoted view of a general associations between high stroma abundance and poor prognosis. The results also suggest that full exploitation of the prognostic potential of tumour stroma requires analyses that go beyond determination of stroma abundance.

Kokoelmat
  • Rinnakkaistallenteet [19207]

Turun yliopiston kirjasto | Turun yliopisto
julkaisut@utu.fi | Tietosuoja | Saavutettavuusseloste
 

 

Tämä kokoelma

JulkaisuajatTekijätNimekkeetAsiasanatTiedekuntaLaitosOppiaineYhteisöt ja kokoelmat

Omat tiedot

Kirjaudu sisäänRekisteröidy

Turun yliopiston kirjasto | Turun yliopisto
julkaisut@utu.fi | Tietosuoja | Saavutettavuusseloste