Pingjun Chen

Dr. Pingjun Chen

Institute for Data Science in Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 May 2019 in Nature Machine Intelligence
Verified
Journal Article
Closed access
PDF file
ZZZizhao Zhang
Zizhao Zhang
Pingjun ChenPingjun Chen
Pingjun Chen
MMMason McGough
Mason McGough
FXFuyong Xing
Fuyong Xing
CWChunbao Wang
Chunbao Wang
LYLin Yang
Lin Yang

13 June 2019 in Computerized Medical Imaging and Graphics
Verified
Journal Article
Closed access
Pingjun ChenPingjun Chen
Pingjun Chen
LGLinlin Gao
Linlin Gao
XSXiaoshuang Shi
Xiaoshuang Shi
KAKyle Allen
Kyle Allen
LYLin Yang
Lin Yang

11 April 2024 in Nature Communications
Verified
Journal Article
Open access
PDF file
SSSheeba Jenifer Sujit
Sheeba Jenifer Sujit
MAMuhammad Aminu
Muhammad Aminu
TKTatiana V. Karpinets
Tatiana V. Karpinets
Pingjun ChenPingjun Chen
Pingjun Chen
MSMaliazurina B. Saad
Maliazurina B. Saad
Jia WuJia Wu
Jia Wu
While we recognize the prognostic importance of clinicopathological measures and circulating tumor DNA (ctDNA), the independent contribution of quantitative image markers to prognosis in non-small cell lung cancer (NSCLC) remains underexplored. In our multi-institutional study of 394 NSCLC patients, we utilize pre-treatment computed tomography (CT) and 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) to establish a habitat imaging framework for assessing regional heterogeneity within individual tumors. This framework identifies three PET/CT subtypes, which maintain prognostic value after adjusting for clinicopathologic risk factors including tumor volume. Additionally, these subtypes complement ctDNA in predicting disease recurrence. Radiogenomics analysis unveil the molecular underpinnings of these imaging subtypes, highlighting downregulation in interferon alpha and gamma pathways in the high-risk subtype. In summary, our study demonstrates that these habitat imaging subtypes effectively stratify NSCLC patients based on their risk levels for disease recurrence after initial curative surgery or radiotherapy, providing valuable insights for personalized treatment approaches.

8 February 2023 in Nature Communications
Verified
Journal Article
Open access
PDF file
LHLingzhi Hong
Lingzhi Hong
MAMuhammad Aminu
Muhammad Aminu
SLShenduo Li
Shenduo Li
XLXuetao Lu
Xuetao Lu
MPMilena Petranovic
Milena Petranovic
NVNatalie I. Vokes
Natalie I. Vokes
The role of combination chemotherapy with immune checkpoint inhibitors (ICI) (ICI-chemo) over ICI monotherapy (ICI-mono) in non-small cell lung cancer (NSCLC) remains underexplored. In this retrospective study of 1133 NSCLC patients, treatment with ICI-mono vs ICI-chemo associate with higher rates of early progression, but similar long-term progression-free and overall survival. Sequential vs concurrent ICI and chemotherapy have similar long-term survival, suggesting no synergism from combination therapy. Integrative modeling identified PD-L1, disease burden (Stage IVb; liver metastases), andSTK11andJAK2alterations as features associate with a higher likelihood of early progression on ICI-mono.CDKN2Aalterations associate with worse long-term outcomes in ICI-chemo patients. These results are validated in independent external (n = 89) and internal (n = 393) cohorts. This real-world study suggests that ICI-chemo may protect against early progression but does not influence overall survival, and nominates features that identify those patients at risk for early progression who may maximally benefit from ICI-chemo.

9 August 2020 in Artificial Intelligence in Medicine
Verified
Journal Article
Closed access
YLYuan Li
Yuan Li
Pingjun ChenPingjun Chen
Pingjun Chen
ZLZhiyuan Li
Zhiyuan Li
HSHai Su
Hai Su
LYLin Yang
Lin Yang
DZDingrong Zhong
Dingrong Zhong

4 September 2017
Verified
Book Chapter
Closed access
PDF file
ZZZizhao Zhang
Zizhao Zhang
Pingjun ChenPingjun Chen
Pingjun Chen
MSManish Sapkota
Manish Sapkota
LYLin Yang
Lin Yang