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Tumor metabolic features identified by FDG PET correlates with gene networks of immune cell microenvironment in head and neck cancer
J Nucl Med 2018 59(1):31–37. Abstract The importance of 18F-FDG PET in imaging head and neck squamous cell carcinoma (HNSCC) has grown in recent decades. Because PET has prognostic values, and provid…

A risk stratification model for lung cancer based on gene coexpression network and deep learning
Biomed Res Int 2018 16;2018:2914280 Abstract Risk stratification model for lung cancer with gene expression profile is of great interest. Instead of previous models based on individual prognostic gen…

Immune landscape of papillary thyroid cancer and immunotherapeutic implications
Endocr Relat Cancer 2018 25(5):523–531. Abstract Although papillary thyroid cancer (PTC) is curable with excellent survival rate, patients with dedifferentiated PTC suffer the recurrence or death. As…

Association of metabolic and genetic heterogeneity in head and neck squamous cell carcinoma with prognostic implications: integration of FDG PET and genomic analysis
EJNMMI research, 9(1), 1–11. Abstract Purpose The linkage between the genetic and phenotypic heterogeneity of the tumor has not been thoroughly evaluated. Herein, we investigated how the genetic and …

Comprehensive gene expression analysis for exploring the association between glucose metabolism and differentiation of thyroid cancer
BMC Cancer. 2019;19(1):1260. Abstract Background: The principle of loss of iodine uptake and increased glucose metabolism according to dedifferentiation of thyroid cancer is clinically assessed by im…

A pan-cancer analysis of the clinical and genetic portraits of somatostatin receptor expressing tumor as a potential target of peptide receptor imaging and therapy
EJNMMI Res. 2020;10(1):42. Abstract Purpose: Although somatostatin receptor (SST) is a promising theranostic target and is widely expressed in tumors of various organs, the indication for therapies t…

Tumor immune profiles noninvasively estimated by FDG PET with deep learning correlate with immunotherapy response in lung adenocarcinoma
Theranostics. 2020;10(23):10838–10848. Abstract The metabolic properties of tumor microenvironment (TME) are dynamically dysregulated to achieve immune escape and promote cancer cell survival. Howeve…

Differences in Tumor Immune Microenvironment in Metastatic Sites of Breast Cancer
Front Oncol. 2021;11:649004. Abstract Introduction: Tumor immune microenvironment (TIME) promotes immune escape, allowing for tumor progression and metastasis. In spite of the current evidence of the…

Glucose metabolic profiles evaluated by PET associated with molecular characteristic landscape of gastric cancer.
Gastric Cancer. 2021 Aug 7. doi: 10.1007/s10120–021–01223–3. Online ahead of print. Abstract Background: Although FDG-PET is widely used in cancer, its role in gastric cancer (GC) is still controvers…
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Portrai's Authors
Capturing and compounding Portrai's insights.
Daeseung Lee
CEO
Physician-scientist who left clinical practice to bring spatial biology into oncology drug discovery
Hongyoon Choi
CTO
Builds the algorithms that turn spatial transcriptomics into actionable target intelligence
Hyung-Jun Im
CSO
Nuclear medicine specialist linking imaging biomarkers to next-generation radiopharmaceuticals
Kwonjoong Na
CMO
Translates platform insights into IND-enabling decisions across oncology programs
Portrai
Official posts from the Portrai team, decoding disease with spatial intelligence