Johan Vallon-Christersson

Lund University

Research Interests

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Articles (24)

Collaborators (22)

Ylva Bengtsson

Lund University

Ingrid Hedenfalk

Lund University

Ole Christian Lingjærde

University of Oslo

Cathrin Brisken

Institute of Cancer Research

UNITED KINGDOM

Johan Staaf

Lund University

Anna Ehinger

Lund University

Lisa Rydén

Professor Surgery

Umeå Universitet Medicinska fakulteten

Thomas Fleischer

Kim Gulis

Lund University

Helena Persson

Therese Sørlie

University of Oslo

Lao Saal

Associate Professor, Head, Translational Oncogenomics Unit

Lund University

Kamil Demircan

Surendra Kumar

Adjunct Professor

Memorial University of Newfoundland

Jari Häkkinen

Lund University

Lennart Hohmann

Lund University

Johan Hartman

Professor at Karolinska Institutet

Karolinska Institutet

Fredrik Levander

Associate Professor

Lund University

Henrik Johansson

Karolinska Institutet

Karin Jirström

Lund University

Christopher Godina

Lund University

Srinivas Veerla

Lund University

Johan Vallon-Christersson

Research Interests

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Articles (24)

Global Transcriptional Complexity of Estrogen Receptor–Low Positive Breast Cancers in the Prospective Swedish Population–Based SCAN-B Cohort

The DNA methylation landscape of primary triple-negative breast cancer

High tumor expression of CTLA4 identifies lymph node-negative basal-like breast cancer patients with excellent prognosis

Capturing breast cancers’ copy-number landscape in routine pathology: Exploiting low-resolution, genome-wide sequencing to identify HRD and beyond

Genomic characterization of the HER2-enriched intrinsic molecular subtype in primary ER-positive HER2-negative breast cancer

High Caveolin-1 mRNA expression in triple-negative breast cancer is associated with an aggressive tumor microenvironment, chemoresistance, and poor clinical outcome

Caveolin-1 gene expression provides additional prognostic information combined with PAM50 risk of recurrence (ROR) score in breast cancer

Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer

Dynamic methylation and expression of alternative promoters for oestrogen receptor alpha in cell line models of fulvestrant resistance

Prediction of gene expression-based breast cancer proliferation scores from histopathology whole slide images using deep learning

A prospective cohort study identifying radiologic and tumor related factors of importance for breast conserving surgery after neoadjuvant chemotherapy

Alternative promoters and splicing create multiple functionally distinct isoforms of oestrogen receptor alpha in breast cancer and healthy tissues

Serum copper, zinc and copper/zinc ratio in relation to survival after breast cancer diagnosis: A prospective multicenter cohort study

Molecular characteristics of breast tumors in patients screened for germline predisposition from a population-based observational study

Transcriptional intra-tumour heterogeneity predicted by deep learning in routine breast histopathology slides provides independent prognostic information

Improved detection of clinically relevant fusion transcripts in cancer by machine learning classification

Perturbation and stability of PAM50 subtyping in population-based primary invasive breast cancer

Matched analysis of circulating selenium with the breast cancer selenotranscriptome: a multicentre prospective study

FGF/FGFR1 system in paired breast tumor-adjacent and tumor tissues, associations with mammographic breast density and tumor characteristics

Choice of High-Throughput Proteomics Method Affects Data Integration with Transcriptomics and the Potential Use in Biomarker Discovery

How Reliable Are Gene Expression-Based and Immunohistochemical Biomarkers Assessed on a Core-Needle Biopsy? A Study of Paired Core-Needle Biopsies and Surgical Specimens in Early Breast Cancer

Subtype and cell type specific expression of lncRNAs provide insight into breast cancer

RNA sequencing-based single sample predictors of molecular subtype and risk of recurrence for clinical assessment of early-stage breast cancer

Autoimmunity to selenoprotein P predicts breast cancer recurrence

Collaborators (22)

Ylva Bengtsson

Ingrid Hedenfalk

Ole Christian Lingjærde

Cathrin Brisken

Johan Staaf

Anna Ehinger

Lisa Rydén

Thomas Fleischer

Kim Gulis

Helena Persson

Therese Sørlie

Lao Saal

Kamil Demircan

Surendra Kumar

Jari Häkkinen

Lennart Hohmann

Johan Hartman

Fredrik Levander

Henrik Johansson

Karin Jirström

Christopher Godina

Srinivas Veerla

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