Joakim Ekström

ORCID: 0000-0002-9734-3979
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Immune cells in cancer
  • Cancer Immunotherapy and Biomarkers
  • Colorectal Cancer Surgical Treatments
  • Colorectal Cancer Treatments and Studies
  • Genetic factors in colorectal cancer
  • Colorectal and Anal Carcinomas
  • Immunotherapy and Immune Responses
  • Machine Learning and Data Classification
  • AI in cancer detection
  • Imbalanced Data Classification Techniques
  • Gallbladder and Bile Duct Disorders
  • Pancreatic and Hepatic Oncology Research
  • Cancer Treatment and Pharmacology
  • Cancer Genomics and Diagnostics
  • Radiomics and Machine Learning in Medical Imaging
  • Gastric Cancer Management and Outcomes
  • Inflammatory Biomarkers in Disease Prognosis
  • Ferroptosis and cancer prognosis
  • Immune Cell Function and Interaction
  • Colorectal Cancer Screening and Detection
  • Lung Cancer Treatments and Mutations
  • Pediatric Hepatobiliary Diseases and Treatments

Uppsala University
2019-2023

Science for Life Laboratory
2023

University of Washington
1990

Cancer immunity is based on the interaction of a multitude cells in spatial context tumour tissue. Clinically relevant immune signatures are therefore anticipated to fundamentally improve accuracy predicting disease progression.Through multiplex situ analysis we evaluated 15 cell classes 1481 samples. Single-cell and bulk RNAseq data sets were used for functional validation prognostic predictive associations.By combining information anti-tumoural CD8+ lymphocytes supportive CD68+CD163+...

10.1016/j.ebiom.2023.104452 article EN cc-by EBioMedicine 2023-01-30

The Receiver Operating Characteristic (ROC) is a de facto standard for determining the accuracy of in vitro diagnostic (IVD) medical devices, and thus exactness its probability distribution crucial toward accurate statistical inference. We show exact ROC AUC-value, hence critical values p-values are readily obtained. Because calculations computationally intense, we demonstrate method geometric interpolation, which special case but generally an approximation, vastly increasing computational...

10.3390/cancers15061788 article EN Cancers 2023-03-15

While the clinical importance of CD8+ and CD3+ cells in colorectal cancer (CRC) is well established, impact other immune cell subsets less described. We sought to provide a detailed overview landscape CRC largest study date terms patient numbers situ analyzed types. Tissue microarrays from 536 patients were stained using multiplexed immunofluorescence panels, fifteen subclasses, representing adaptive innate immunity, analyzed. Overall, therapy-naïve clustered into an 'inflamed' 'desert'...

10.3390/cancers13215545 article EN Cancers 2021-11-04

Radiotherapy (RT) or chemoradiotherapy (CRT) are frequently used in rectal cancer, sometimes resulting complete tumor remission (CR). The predictive capacity of all clinical factors, laboratory values and magnetic resonance imaging parameters performed routine staging was evaluated to understand what determines an excellent response RT/CRT. A population-based cohort 383 patients treated with short-course RT (5 × 5 Gy one week, scRT), CRT, scRT chemotherapy (scRT+CT) having either had a delay...

10.3390/cancers13010016 article EN Cancers 2020-12-22

Visualization of intrahepatic bile ducts (IHBDs) at computed tomography (CT) has previously been considered evidence biliary obstruction. The authors have found that hepatic CT enhanced with contrast material and the use ceramic scintillation detectors allows frequent visualization normal IHBDs. One hundred patients without imaging, laboratory, or clinical hepatobiliary pancreatic disease were prospectively examined to assess frequency visualization, location, size IHBDs visualized in 40%...

10.1148/radiology.176.3.2389018 article EN Radiology 1990-09-01

Prediction models are useful tools in the clinical management of colon cancer patients, particularly when estimating recurrence rate and, thus, need for adjuvant treatment. However, most used (MSKCC, ACCENT) based on several decades-old patient series from trials, likely overestimating current risk recurrence, especially low-risk groups, as outcomes have improved over time. The aim was to develop and validate an updated model prediction within 5 years after surgery using routinely collected...

10.1080/0284186x.2021.1953138 article EN cc-by-nc-nd Acta Oncologica 2021-07-19

Abstract Mutational analyses of tumor DNA guide the use targeted therapies and checkpoint inhibitors in management solid tumors. Reducing false positive mutation calls without compromising sensitivity as gene panels increase size, whole exome genome sequencing enters clinical use, remains a major challenge. Aiming for robust somatic setting, we have developed VARify, an integrated, accurate computationally efficient software cancer encompassing all steps from pre-processing reads to...

10.1101/2023.06.08.23291143 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2023-06-14

Background: Cancer immunity is based on the interaction of a multitude cells in spatial context tumor tissue. Immune cell patterns are connected to patient prognosis and response therapy. Clinically relevant immune signatures therefore anticipated fundamentally improve accuracy predicting disease progression.Methods Findings: Through multiplex situ analysis pipeline we evaluated 15 classes 352 colorectal cancers associated infiltration with clinical outcome. By combining prognostic...

10.2139/ssrn.4204783 article EN SSRN Electronic Journal 2022-01-01

Summary The Receiver Operating Characteristic (ROC) is a de facto standard for determining the accuracy of in vitro diagnostic (IVD) medical devices, and thus exactness its probability distribution crucial toward accurate statistical inference. We show exact ROC AUC-value, hence critical values p-values are readily obtained. Because calculations computationally intense, we demonstrate method geometric interpolation which special case but generally an approximation, vastly increasing...

10.1101/2022.12.13.520256 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2022-12-15

Abstract Immune cells in the microenvironment shape tumor development and progression. The prognostic value of T-cell-based immune scores exceeds those clinical parameters colon cancer, but reflects only a part anti-tumor response. Here, we assessed 15 distinct cell classes identified simple signature based on pro- anti-tumoral microenvironment. ratio cytotoxic lymphocytes to supportive macrophages predicted survival better than state-of-art score cancer had highest relative contribution...

10.1101/2021.03.24.436814 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2021-03-24

Summary Immune cells in the microenvironment shape tumor development and progression. Through situ analyses we assessed 15 immune cell classes 352 colorectal cancers identified a simple prognostic signature based on ratio of anti-tumoral CD8+ lymphocytes to tumor-supportive M2-like macrophages (CD68+CD163+) microenvironment. The ability this was superior state-of-art score also demonstrated four other types. Single-cell these as source complement C1q, CD8A C1QA gene expression levels bulk...

10.2139/ssrn.3976482 article EN SSRN Electronic Journal 2021-01-01
Coming Soon ...