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PRECISION
PATHOLOGY FOR
INDIVIDUALIZED TREATMENT” headline_size=”huge” dash=”no” subheadline=”” el_class=”” el_style=”” dash_style=”btNormalDash” publish_datetime=”” expiry_datetime=”” responsive=””][/bt_header][bt_hr top_spaced=”topSpaced” bottom_spaced=”not-spaced” transparent_border=”noBorder” el_class=”” el_style=”” publish_datetime=”” expiry_datetime=”” responsive=””][/bt_hr][/bt_column_inner][bt_column_inner width=”5/12″][/bt_column_inner][/bt_row_inner][/bt_slider_item][/bt_slider][bt_slider height=”auto” auto_play=”2000″ hide_arrows=”” hide_paging=”btSliderHidePaging” simple_arrows=”no” el_class=”” el_style=”” arrows_position=”” show_dots=”bottom” animation=”slide” publish_datetime=”” expiry_datetime=”” responsive=””][/bt_slider][/bt_column][/bt_row][/bt_section][bt_section layout=”wide” top_spaced=”not-spaced” bottom_spaced=”bottomSpaced” skin=”inherit” full_screen=”no” vertical_align=”inherit” divider=”no” back_image=”” back_color=”” back_video=”” video_settings=”” parallax=”” parallax_offset=”” animation=”” animation_back=”” animation_impress=”” el_id=”” el_class=”” el_style=”margin-top: -20px; position: relative; z-index: 1;” responsive=”” lazy_load=”no”][bt_row el_class=”btDarkSkin” el_style=”background-color: transparent;”][bt_column width=”1/4″ align=”left” vertical_align=”btTopVertical” border=”no_border” cell_padding=”btDoublePadding” animation=”animate animate-fadein” text_indent=”no_text_indent” highlight=”no_highlight” background_color=”#12c5c3″ transparent=”” background_image=”” el_class=”” el_style=”” inner_background_color=”” opacity=”2″][bt_hr top_spaced=”topSemiSpaced” bottom_spaced=”not-spaced” transparent_border=”noBorder” el_class=”” el_style=”” publish_datetime=”” expiry_datetime=”” responsive=””][/bt_hr][bt_text]

ENDORESIST PROJECT
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Improving our understanding of the underlying mechanism behind endocrine resistance and to identify biomarkers for an individualized approach to cancer therapy.


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ORGANOTYPIC MODEL
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Organotypic model for breast cancer therapy prediction. We have successfully established our unselected ex vivo 3D cell culture (WTC) model.

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STOCKHOLM HER2 PROJECT
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The human epidermal growth factor receptor 2 (HER2) is overexpressed or gene amplified in about 15 % of breast cancers and is associated with aggressive tumors

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IMAGE ANALYSIS
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We use established image analysis softwares to improve biomarker assessment in routine pathology. We also develop in-house deep-learning based models for next generation image analysis together with the Rantalainen lab.

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Research focus on precision pathology; image analysis (computational pathology), molecular cancer profiling and patient-derived cancer models to predict patient-specific drug response.” el_class=”” el_style=”” dash_style=”btNormalDash” publish_datetime=”” expiry_datetime=”” responsive=””][/bt_header][bt_hr top_spaced=”not-spaced” bottom_spaced=”bottomSmallSpaced” transparent_border=”noBorder” el_class=”” el_style=””][/bt_hr][bt_hr top_spaced=”not-spaced” bottom_spaced=”bottomSmallSpaced” transparent_border=”noBorder” el_class=”” el_style=””][/bt_hr][/bt_column][bt_column width=”5/12″ align=”left” vertical_align=”btBottomVertical” border=”no_border” cell_padding=”default” animation=”animate animate-fadein animate-moveleft” text_indent=”no_text_indent” highlight=”no_highlight” background_color=”” transparent=”” inner_background_color=”” background_image=”” el_class=”” el_style=””][bt_image image=”2448″ caption_text=”” size=”” shape=”square” url=”” el_class=”” el_style=”” lazy_load=”no” 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Organotypic model

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Many cancer patients are under or over treated as a consequence of insufficient knowledge of therapy response now. Gene-expression signatures and DNA-panel sequencing will most likely not be enough to predict therapeutic responses. Thus, there is an urgent demand for discovery of alternative treatment prediction methods to facilitate personalized oncology.

Additionally, the current research models for majority of solid tumors are largely relied on either 2-dimensional (2D) cell cultures, which provide great insight into the tumor growth mechanisms but could not represent the complex interactions between the cancer cells and their environment, or animal models that fulfill the physiological study conditions but sporadically fail to recapitulate the same drug responses from human beings. Moreover, it takes up to several weeks or month before animal models could provide biological data, even not to mention the insufficient correlation between expected and observed results. Thus, artificial matrix scaffold based ex vivo 3D cell culture models have been developed over recent years as an attempt to fill the gap in between.

We have successfully established our unselected ex vivo 3D cell culture (WTC) model from clinical breast tumor materials, which could act as a good and efficient platform for anti-cancer drug screening and validation. In combination with next generation sequencing (NGS) and other functional analyses, WTC could provide us a platform to identify drug sensitivity and resistance. Currently, we have an ongoing clinical validation study for its predictive value for breast cancer patients at the Stockholm South General hospital (Södersjukhuset).

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