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Cancer Genomic Medicine: Essential Course

ATLAS (Asian clinical TriaLs network for cAncerS) project - Training Program
Cancer Genomic Medicine Course
Target trainees: Physicians, laboratory technicians and other relevant professionals who engage or would like to engage cancer genome-based medicine.

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Latest announcements

29 Jul 2025
New Lectures Added in “Biostatistics for Clinical Trials on Cancer” Course
NEW
15 Jul 2025
A new course, “Biostatistics for Clinical Trials on Cancer,” has launched with 4 lectures.
07 Feb 2025
Four new contents added to “ATLAS Monthly Webinar”
07 Jan 2025
Four new contents added to "ATLAS Monthly Webinar"
12 Nov 2024
Four new lectures added in "ATLAS Monthly Webinar"

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Skip Fresh Insights Playlist

Fresh Insights Playlist

Embark on a learning adventure with our "Fresh Insights Playlist," a curated collection of the latest lectures that promise to spark curiosity and elevate your educational journey. Stay tuned for a dynamic blend of cutting-edge content designed to keep you at the forefront of knowledge.
1:06:14
Randomization and Confounding
In the previous lectures, we focused on explaining methods of data analysis according to the type of outcome.However, being able to analyze data does not necessarily mean that you will be able to correctly interpret the results.The purpose of this lecture is to understand "confounding," one of the most important concepts to understand in clinical research, and why randomized clinical trials are necessary.
Views20
User evaluation
Updated on：29 May 2025
0:45:36
Multivariate Analysis 1
This lecture will explain multivariate analysis, which is used to rule out confounding.A brief explanation of the structure of statistical models and how hazard ratios and odds ratios are estimated from statistical models will also be provided.
Views4
User evaluation
Updated on：29 May 2025
0:35:49
Multivariate Analysis 2
Multivariate analysis can be used for purposes other than confounding adjustment, such as predicting recurrence and prognosis, predicting the occurrence of adverse events such as complications, and predicting the efficacy of medicinal products.This lecture will focus on the points to be aware of when performing multivariate analysis for prediction purposes.
Views4
User evaluation
Updated on：29 May 2025
0:58:17
Sample Size Calculation
This lecture explains how to calculate sample size, which is necessary in the planning stage of clinical research.Specifically, how to set alpha, beta, and treatment effects is explained using a randomized controlled trial of cancer as an example.
Views5
User evaluation
Updated on：29 May 2025
0:59:59
Describing Data
When summarizing continuous data such as age or laboratory results, do you think that you should provide the median and range? Can you explain why it's not the average?This lecture will explain the basics, such as interpreting data using histograms and scatter plots, and choosing analysis methods.This lecture will also explain data cleaning and preliminary analysis that should be performed before conducting tests or estimations.
Views21
User evaluation
Updated on：29 May 2025
0:29:46
Hypothesis Testing 1
This lecture will explain the basics of statistical hypothesis testing.You might always see p-values in papers and academic presentations, but do you accurately understand the definition and concept of p-value?Take this lecture and become able to explain it yourself.
Views8
User evaluation
Updated on：29 May 2025
0:34:47
Hypothesis Testing 2
This lecture focuses on cases where the outcome is continuous or categorical variables.Don't you easily assume that "Wilcoxon's log rank test is used for datasets with small N and continuous variable" or "Fisher's exact test is used for those with small N and categorical variable"?This lecture will explain appropriate understandings of the testing.
Views8
User evaluation
Updated on：29 May 2025
1:09:35
Survival Analysis
This lecture will explain survival analysis, which is a particularly important analytical method in clinical cancer research.This method is required when the outcome is survival. Why is it inappropriate to use analytical methods for continuous or categorical variables? This lecture will provide you the basic concepts of survival analysis.
Views14
User evaluation
Updated on：29 May 2025
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Skip Recommended Lectures

Recommended Lectures

The recommended lectures from each course have been picked out. This recommendations help you discover more of the lectures you are interested in.
0:27:38
Cancer Biology and Molecular Biology
This content is going to discuss a lecture titled “Cancer Biology and Molecular Biology” for the Cancer Genome-based Medicine Course as part of the presentation series in the ATLAS Training Program.
Views208
User evaluation4.48
Updated on：30 Nov 2021
0:20:50
Sample handling
1. Sample Handling Process in Cancer Genomic Medicine2. Tumor Sample Evaluation Procedure3. Examples of Tumor Evaluation4. Tumor Sample Evaluation (Tumor Cell Content)
Views91
User evaluation4.35
Updated on：29 Jun 2021
0:18:06
Procedures and Interpretation of Next Generation Sequencing Results
1. Characteristics of gene panel tests and interpretation of the results2. Pathogenic significance of detected mutations3. Mutations and associated therapeutic agents4. Candidate drugs and their evidence levels
Views68
User evaluation4.22
Updated on：9 Jul 2021
0:18:25
Methods of utilizing NGS test results (off-label, clinical trial, etc.)
Information on the topics listed on this slide will be presented in the lecture.・Cancer genomic medicine and comprehensive genomic profiling (CGP) test・Treatment based on cancer genomic profiling
Views70
User evaluation4.33
Updated on：12 Dec 2022
0:34:37
ISO 15189 accreditation program for molecular-genetic laboratories
1. Efforts for quality assurance in molecular-genetic testing2. Implementation guidance of ISO 15189 for NGS-based tests3. Regional and international efforts to standardize the pre-examination process4. International efforts to standardize multiplex molecular-genetic tests5. Challenges to the EQA/PT program
Views22
User evaluation0.00
Updated on：2 Jun 2021
0:26:04
Basic Knowledge and Practical Consideration of Phase I Trials in Oncology
Information on the topics listed on this slide will be presented in the lecture.1. First administration of novel anticancer drugs in human.2. Determining the optimal dose and administration method.3. Dose escalation test using toxicity as an index.
Views54
User evaluation4.50
Updated on：27 Mar 2023
0:40:03
The General Role Of CRCs In Cancer Clinical Trials
1. Role of CRC in Cancer Clinical Trials2. Provide Support to Subjects Participating in Cancer Clinical Trials3. Support for conducting Cancer Clinical Trials
Views46
User evaluation4.39
Updated on：23 May 2022
0:28:53
Review of cancer clinical trial protocols from a CRC perspective
1. Role and definition of the protocol2. Perspective of CRC reading of the protocol3. Uncomfortable situations when conducting clinical trials4. Summary
Views38
User evaluation4.29
Updated on：24 May 2022
0:18:37
Minimum statistical knowledge required for clinical trials on cancer - Part 1 of 2
Some key points for interpreting the results of phase III randomized controlled trials are introduced in this lecture. Particularly, this part outlines survival curve and randomization.
Views41
User evaluation4.67
Updated on：20 Sep 2023
0:31:42
Designs for clinical trials on cancer - Part 1 of 2
Development flow and clinical trial designs of anticancer drugs are introduced in this lecture. Particularly, this part outlines development flow and phase I clinical trial designs.
Views21
User evaluation4.33
Updated on：20 Sep 2023
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Introduction to Clinical Research

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Cancer Genomic Medicine: Essential Course
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