Jungyoon Choi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Jungyoon Choi has a total of 83 co-authors. Here are the top co-authors by number of shared publications:
- Xingyi Guo
Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, USA
29 shared publications - Wanqing Wen
Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, USA
28 shared publications - Xiao-Ou Shu
Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA
27 shared publications - Wei Zheng
Division of Epidemiology, Department of Medicine, Vanderbilt‐Ingram Cancer Center, Vanderbilt Epidemiology Center Vanderbilt University School of Medicine Nashville Tennessee USA
26 shared publications - Jason Kyungha Sa
Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
23 shared publications - Kyong Hwa Park
Division of Hemato-Oncology, Department of Internal Medicine, Korea University College of Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
23 shared publications
Latest Publications
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S2 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
References for NCCN guidelines
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S2 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
References for NCCN guidelines
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S7 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Stratified analyses of the association between TMB and MSI among the Asian population across three cancer types in KM data
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S7 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Stratified analyses of the association between TMB and MSI among the Asian population across three cancer types in KM data
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Data from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Background:Microsatellite instability (MSI) and tumor mutational burden (TMB) are predictive biomarkers for pan-cancer immunotherapy. The interrelationship between MSI-high (MSI-H) and TMB-high (TMB-H) in human cancers and their predictive value for immunotherapy in lung cancer remain unclear.Methods:We analyzed somatic mutation data from the Genomics Evidence Neoplasia Information Exchange (n = 46,320) to determine the relationship between MSI-H and TMB-H in human cancers using adjusted multivariate regression models. Patient survival was examined using the Cox proportional hazards model. The association between MSI and genetic mutations was assessed.Results:Patients (31–89%) with MSI-H had TMB-low phenotypes across 22 cancer types. Colorectal and stomach cancers showed the strongest association between TMB and MSI. TMB-H patients with lung cancer who received immunotherapy exhibited significantly higher overall survival [HR, 0.61; 95% confidence interval (CI), 0.44–0.86] and progression-free survival (HR, 0.65; 95% CI, 0.47–0.91) compared to the TMB-low group; no significant benefit was observed in the MSI-H group. Patients with TMB and MSI phenotypes showed further improvement in overall survival and PFS. We identified several mutated genes associated with MSI-H phenotypes, including known mismatch repair genes and novel mutated genes, such as ARID1A and ARID1B.Conclusions:Our results demonstrate that TMB-H and/or a combination of MSI-H can serve as biomarkers for immunotherapies in lung cancer.Impact:These findings suggest that distinct or combined biomarkers should be considered for immunotherapy in human cancers because notable discrepancies exist between MSI-H and TMB-H across different cancer types.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessData from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Background:Microsatellite instability (MSI) and tumor mutational burden (TMB) are predictive biomarkers for pan-cancer immunotherapy. The interrelationship between MSI-high (MSI-H) and TMB-high (TMB-H) in human cancers and their predictive value for immunotherapy in lung cancer remain unclear.Methods:We analyzed somatic mutation data from the Genomics Evidence Neoplasia Information Exchange (n = 46,320) to determine the relationship between MSI-H and TMB-H in human cancers using adjusted multivariate regression models. Patient survival was examined using the Cox proportional hazards model. The association between MSI and genetic mutations was assessed.Results:Patients (31–89%) with MSI-H had TMB-low phenotypes across 22 cancer types. Colorectal and stomach cancers showed the strongest association between TMB and MSI. TMB-H patients with lung cancer who received immunotherapy exhibited significantly higher overall survival [HR, 0.61; 95% confidence interval (CI), 0.44–0.86] and progression-free survival (HR, 0.65; 95% CI, 0.47–0.91) compared to the TMB-low group; no significant benefit was observed in the MSI-H group. Patients with TMB and MSI phenotypes showed further improvement in overall survival and PFS. We identified several mutated genes associated with MSI-H phenotypes, including known mismatch repair genes and novel mutated genes, such as ARID1A and ARID1B.Conclusions:Our results demonstrate that TMB-H and/or a combination of MSI-H can serve as biomarkers for immunotherapies in lung cancer.Impact:These findings suggest that distinct or combined biomarkers should be considered for immunotherapy in human cancers because notable discrepancies exist between MSI-H and TMB-H across different cancer types.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S3 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Baseline characteristics of the proportions of MSI-H and TMB-H
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S3 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Baseline characteristics of the proportions of MSI-H and TMB-H
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S1 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Clinical and demographic characteristics of patients from GENIE, KM, and TCGA
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S1 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Clinical and demographic characteristics of patients from GENIE, KM, and TCGA
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 2 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Association between MSI and TMB using multivariable linear regression models
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 2 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Association between MSI and TMB using multivariable linear regression models
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S8 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Stratified analyses of the association between TMB and MSI by race across three cancer types in TCGA data
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S8 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Stratified analyses of the association between TMB and MSI by race across three cancer types in TCGA data
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S6 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Stratified analyses of the association between TMB and MSI by race across 22 cancer types in GENIE data
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S6 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Stratified analyses of the association between TMB and MSI by race across 22 cancer types in GENIE data
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S10 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Significant genes contributing to MSI-H among endometrial, colorectal, and stomach cancer cases: results from KM and TCGA
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S10 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Significant genes contributing to MSI-H among endometrial, colorectal, and stomach cancer cases: results from KM and TCGA
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S5 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Association between TMB and MSI adjusted for multiple covariates across 22 cancer types in GENIE data
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S5 from Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden
Association between TMB and MSI adjusted for multiple covariates across 22 cancer types in GENIE data