Gaomin Zheng
A5024933932- Cancer Mechanisms and Therapy
- Phagocytosis and Immune Regulation
- FOXO transcription factor regulation
- Cancer Immunotherapy and Biomarkers
- Mechanisms of cancer metastasis
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Pancreatic and Hepatic Oncology Research
- Immune responses and vaccinations
- Cancer-related molecular mechanisms research
- RNA modifications and cancer
- GABA and Rice Research
- Veterinary medicine and infectious diseases
- Food Quality and Safety Studies
- Immune cells in cancer
- Colorectal and Anal Carcinomas
- Vascular Tumors and Angiosarcomas
- Enterobacteriaceae and Cronobacter Research
- Pediatric Hepatobiliary Diseases and Treatments
- MicroRNA in disease regulation
- Gallbladder and Bile Duct Disorders
- Cancer-related gene regulation
- Liver Diseases and Immunity
- Single-cell and spatial transcriptomics
Sun Yat-sen University
2022-2024
Sun Yat-sen University Cancer Center
2023-2024
The First Affiliated Hospital, Sun Yat-sen University
2023-2024
Liver metastasis is the leading cause of mortality in patients with colorectal cancer. Given significance both epithelial-mesenchymal transition (EMT) tumor cells and immune microenvironment cancer liver (CRLM), interplay between them could hold key for developing improved treatment options. We employed multiomics analysis 130 samples from 18 synchronous CRLM integrated external datasets to comprehensively evaluate interaction EMT metastasis. Single-cell RNA sequencing revealed distinct...
<p>Table S1. Clinical and pathological characteristics of CRLM patients</p>
<p>Table S2. CD45+ and CD45- cell numbers of each sample from CRLM patients</p>
<p>Figure S6. Pseudotime analysis of tumor cells by Palantir and CellRank.</p>
<p>Table S1. Clinical and pathological characteristics of CRLM patients</p>
<p>Figure S8. Fn14 expression is positively correlated with the metastatic ability of colon cancer cells.</p>
<p>Figure S9. Macrophage subclusters are important in the metastasis of CRLM.</p>
<div>Abstract<p>Liver metastasis is the leading cause of mortality in patients with colorectal cancer. Given significance both epithelial–mesenchymal transition (EMT) tumor cells and immune microenvironment cancer liver (CRLM), interplay between them could hold key for developing improved treatment options. We employed multiomics analysis 130 samples from 18 synchronous CRLM integrated external datasets to comprehensively evaluate interaction EMT metastasis. Single-cell RNA...
<p>Figure S5. Dynamic change of tumor cells from primary to metastatic lesions.</p>
<p>Figure S1. Cell annotations of mCRC scRNA-seq dataset.</p>
<p>Figure S4. Extraction and validation of tumor cell analysis in mCRC cohort.</p>
<div>Abstract<p>Liver metastasis is the leading cause of mortality in patients with colorectal cancer. Given significance both epithelial–mesenchymal transition (EMT) tumor cells and immune microenvironment cancer liver (CRLM), interplay between them could hold key for developing improved treatment options. We employed multiomics analysis 130 samples from 18 synchronous CRLM integrated external datasets to comprehensively evaluate interaction EMT metastasis. Single-cell RNA...
<p>Table S3. Marker genes of subcluster for each major cell type</p>
<p>Figure S8. Fn14 expression is positively correlated with the metastatic ability of colon cancer cells.</p>
<p>Figure S5. Dynamic change of tumor cells from primary to metastatic lesions.</p>
<p>Table S4. Significantly enriched pathways in liver metastasis</p>
<div>Abstract<p>Liver metastasis is the leading cause of mortality in patients with colorectal cancer. Given significance both epithelial–mesenchymal transition (EMT) tumor cells and immune microenvironment cancer liver (CRLM), interplay between them could hold key for developing improved treatment options. We employed multiomics analysis 130 samples from 18 synchronous CRLM integrated external datasets to comprehensively evaluate interaction EMT metastasis. Single-cell RNA...
<p>Figure S3. Th17 cells promote the proliferation of tumor in CRLM model.</p>
<p>Figure S7. TWEAK+ Th17 cells are associated with the development of CRLM.</p>
<p>Figure S1. Cell annotations of mCRC scRNA-seq dataset.</p>
<p>Figure S2. Evaluation of the accuracy reference mapping.</p>
<p>Figure S2. Evaluation of the accuracy reference mapping.</p>
<p>Figure S4. Extraction and validation of tumor cell analysis in mCRC cohort.</p>