Johan Hartmans forskargrupp

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Gruppmedlemmar

Johan Hartman, professor, forskargruppledare
Emelie Karlsson, forskningssamordnare
Stephanie Robertson, MD, PhD postdoc
Caroline Rönnlund, MD, doktorand
Caroline Schagerholm, MD, doktorand
Qiao Yang, doktorand
Sanna Steen, MD, doktorand
Balazs Acs, MD, PhD, postdoc
Xinsong Chen, postdoc
Ceren Boyaci, MD, anknuten
Wenwen Sun, anknuten
Helena Olofsson, anknuten

Utvalda publikationer

Transcriptional intra-tumour heterogeneity predicted by deep learning in routine breast histopathology slides provides independent prognostic information.
Wang Y, Ali MA, Vallon-Christersson J, Humphreys K, Hartman J, Rantalainen M
Eur J Cancer 2023 Jun;191():112953

Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast Cancer.
Wang Y, Kartasalo K, Weitz P, Ács B, Valkonen M, Larsson C, Ruusuvuori P, Hartman J, Rantalainen M
Cancer Res 2021 Oct;81(19):5115-5126

Breast cancer patient-derived whole-tumor cell culture model for efficient drug profiling and treatment response prediction.
Chen X, Sifakis EG, Robertson S, Neo SY, Jun SH, Tong L, Hui Min AT, Lövrot J, Hellgren R, Margolin S, Bergh J, Foukakis T, Lagergren J, Lundqvist A, Ma R, Hartman J
Proc Natl Acad Sci U S A 2023 Jan;120(1):e2209856120

Improved breast cancer histological grading using deep learning.
Wang Y, Acs B, Robertson S, Liu B, Solorzano L, Wählby C, Hartman J, Rantalainen M
Ann Oncol 2022 Jan;33(1):89-98

CD73 immune checkpoint defines regulatory NK cells within the tumor microenvironment.
Neo SY, Yang Y, Record J, Ma R, Chen X, Chen Z, Tobin NP, Blake E, Seitz C, Thomas R, Wagner AK, Andersson J, de Boniface J, Bergh J, Murray S, Alici E, Childs R, Johansson M, Westerberg LS, Haglund F, Hartman J, Lundqvist A
J Clin Invest 2020 Mar;130(3):1185-1198

Variability in Breast Cancer Biomarker Assessment and the Effect on Oncological Treatment Decisions: A Nationwide 5-Year Population-Based Study.
Acs B, Fredriksson I, Rönnlund C, Hagerling C, Ehinger A, Kovács A, Røge R, Bergh J, Hartman J
Cancers (Basel) 2021 Mar;13(5):

Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer.
Wang Y, Kartasalo K, Weitz P, Acs B, Valkonen M, Larsson C, Ruusuvuori P, Hartman J, Rantalainen M
Cancer Res 2021 Aug;():

Evolutionary history of metastatic breast cancer reveals minimal seeding from axillary lymph nodes.
Ullah I, Karthik GM, Alkodsi A, Kjällquist U, Stålhammar G, Lövrot J, et al
J. Clin. Invest. 2018 04;128(4):1355-1370

Estrogen Receptor β as a Therapeutic Target in Breast Cancer Stem Cells.
Ma R, Karthik GM, Lövrot J, Haglund F, Rosin G, Katchy A, et al
J. Natl. Cancer Inst. 2017 03;109(3):1-14

Sequencing-based breast cancer diagnostics as an alternative to routine biomarkers.
Rantalainen M, Klevebring D, Lindberg J, Ivansson E, Rosin G, Kis L, et al
Sci Rep 2016 11;6():38037

Digital image analysis outperforms manual biomarker assessment in breast cancer.
Stålhammar G, Fuentes Martinez N, Lippert M, Tobin NP, Mølholm I, Kis L, et al
Mod. Pathol. 2016 Apr;29(4):318-29

mTOR inhibitors counteract tamoxifen-induced activation of breast cancer stem cells.
Karthik GM, Ma R, Lövrot J, Kis LL, Lindh C, Blomquist L, et al
Cancer Lett. 2015 Oct;367(1):76-87

Digital image analysis in breast pathology-from image processing techniques to artificial intelligence.
Robertson S, Azizpour H, Smith K, Hartman J
Transl Res 2018 04;194():19-35