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View article: Minimally invasive biopsy‐based diagnostics in support of precision cancer medicine
Minimally invasive biopsy‐based diagnostics in support of precision cancer medicine Open
Precision cancer medicine (PCM) to support the treatment of solid tumors requires minimally invasive diagnostics. Here, we describe the development of fine‐needle aspiration biopsy‐based (FNA) molecular cytology which will be increasingly …
View article: Supplementary Table S3 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Table S3 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Analysis of deviance comparing models with and without genome instability parameters.
View article: Supplementary Figure S4 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S4 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Kaplan Meier curves of clinicopathological and image cytometric data.
View article: Supplementary Figure S3 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S3 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Univariable Cox regressions, disease-specific survival.
View article: Supplementary Figure S2 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S2 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Test for proportional hazards.
View article: Supplementary Figure S3 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S3 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Univariable Cox regressions, disease-specific survival.
View article: Data from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Data from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Purpose:The choice of therapy for patients with breast cancer is often based on clinicopathologic parameters, hormone receptor status, and HER2 amplification. To improve individual prognostication and tailored treatment decisions, we combi…
View article: Supplementary Table S3 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Table S3 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Analysis of deviance comparing models with and without genome instability parameters.
View article: Supplementary Table S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Table S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Steps of Cox regression analyses to final models.
View article: Supplementary Figure S5 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S5 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Multivariable Cox regressions including the standard proliferation variable.
View article: Supplementary Figure S4 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S4 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Kaplan Meier curves of clinicopathological and image cytometric data.
View article: Supplementary Figure S2 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S2 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Test for proportional hazards.
View article: Supplementary Table S2 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Table S2 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Correlation between standard clinicopathological and genome instability parameters.
View article: Supplementary Figure S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Examples of different genome instability profiles.
View article: Supplementary Table S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Table S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Steps of Cox regression analyses to final models.
View article: Supplementary Figure S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Examples of different genome instability profiles.
View article: Data from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Data from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Purpose:The choice of therapy for patients with breast cancer is often based on clinicopathologic parameters, hormone receptor status, and HER2 amplification. To improve individual prognostication and tailored treatment decisions, we combi…
View article: Supplementary Table S2 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Table S2 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Correlation between standard clinicopathological and genome instability parameters.
View article: Supplementary Figure S5 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S5 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Multivariable Cox regressions including the standard proliferation variable.
View article: Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade
Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade Open
Background Improved molecular diagnosis is needed in prostate cancer (PC). Fine needle aspiration (FNA) is a minimally invasive biopsy technique, less traumatic compared to core needle biopsy, and could be useful for diagnosis of PC. Molec…
View article: Fast, streamlined fluorescence nanoscopy resolves rearrangements of SNARE and cargo proteins in platelets co-incubated with cancer cells
Fast, streamlined fluorescence nanoscopy resolves rearrangements of SNARE and cargo proteins in platelets co-incubated with cancer cells Open
Background Increasing evidence suggests that platelets play a central role in cancer progression, with altered storage and selective release from platelets of specific tumor-promoting proteins as a major mechanism. Fluorescence-based super…
View article: Fast, streamlined fluorescence nanoscopy resolves rearrangements of SNARE and cargo proteins in platelets co-incubated with cancer cells.
Fast, streamlined fluorescence nanoscopy resolves rearrangements of SNARE and cargo proteins in platelets co-incubated with cancer cells. Open
This folder contains all raw data underlying the results presented in a manuscript, submitted to Journal of Nanobiotechnology, and entitled: Fast, streamlined fluorescence nanoscopy resolves rearrangements of SNARE and cargo proteins in pl…
View article: Fast, streamlined fluorescence nanoscopy resolves rearrangements of SNARE and cargo proteins in platelets co-incubated with cancer cells.
Fast, streamlined fluorescence nanoscopy resolves rearrangements of SNARE and cargo proteins in platelets co-incubated with cancer cells. Open
This folder contains all raw data underlying the results presented in a manuscript, submitted to Journal of Nanobiotechnology, and entitled: Fast, streamlined fluorescence nanoscopy resolves rearrangements of SNARE and cargo proteins in pl…
View article: Fast, automatized fluorescence nanoscopy resolves rearrangements of SNARE and cargo proteins in platelets co-incubated with cancer cells.
Fast, automatized fluorescence nanoscopy resolves rearrangements of SNARE and cargo proteins in platelets co-incubated with cancer cells. Open
This folder contains all raw data underlying the results presented in a manuscript, submitted to Nanoscale, and entitled: Fast, automatized fluorescence nanoscopy resolves rearrangements of SNARE and cargo proteins in platelets co-incubate…
View article: Fast, automatized fluorescence nanoscopy resolves rearrangements of SNARE and cargo proteins in platelets co-incubated with cancer cells.
Fast, automatized fluorescence nanoscopy resolves rearrangements of SNARE and cargo proteins in platelets co-incubated with cancer cells. Open
This folder contains all raw data underlying the results presented in a manuscript, submitted to Journal of Nanobiotechnology, and entitled: Fast, automatized fluorescence nanoscopy resolves rearrangements of SNARE and cargo proteins in pl…
View article: 464 Markers on platelet microvesicles for diagnostics of ovarian cancer
464 Markers on platelet microvesicles for diagnostics of ovarian cancer Open
Introduction/Background* Routine blood markers provide poor diagnostic capacity for ovarian cancer. Ultrasound examination using the criteria developed by International Ovarian Tumor Analysis group is the most sensitive and specific diagno…
View article: Additional file 3 of Hard wiring of normal tissue-specific chromosome-wide gene expression levels is an additional factor driving cancer type-specific aneuploidies
Additional file 3 of Hard wiring of normal tissue-specific chromosome-wide gene expression levels is an additional factor driving cancer type-specific aneuploidies Open
Additional file 3: Table S3. Mean gene expression levels of each chromosome arm in each cancer type (from TCGA).
View article: Additional file 16 of Hard wiring of normal tissue-specific chromosome-wide gene expression levels is an additional factor driving cancer type-specific aneuploidies
Additional file 16 of Hard wiring of normal tissue-specific chromosome-wide gene expression levels is an additional factor driving cancer type-specific aneuploidies Open
Additional file 16: Table S11. Fraction of all cancer driver genes on each chromosome arm that are considered as oncogenes in cancer types from a given tissue of origin.