Catherine H. Feng

ORCID: 0000-0002-7413-9748
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About
Contact & Profiles
Research Areas
  • Ubiquitin and proteasome pathways
  • Histone Deacetylase Inhibitors Research
  • RNA modifications and cancer
  • Radiomics and Machine Learning in Medical Imaging
  • Colorectal Cancer Treatments and Studies
  • Cancer Genomics and Diagnostics
  • MicroRNA in disease regulation
  • Peptidase Inhibition and Analysis
  • Genetics and Neurodevelopmental Disorders
  • Colorectal Cancer Screening and Detection
  • Gene expression and cancer classification
  • Cancer Immunotherapy and Biomarkers
  • vaccines and immunoinformatics approaches
  • Bioinformatics and Genomic Networks
  • interferon and immune responses
  • Global Cancer Incidence and Screening
  • Molecular Biology Techniques and Applications
  • Cutaneous Melanoma Detection and Management

Dana-Farber Cancer Institute
2025

Harvard University Press
2025

The University of Texas MD Anderson Cancer Center
2024

Oregon Health & Science University
2023

Montgomery High School
2021

Metastasis drives mortality and morbidity in cancer. While some patients develop broad metastatic disease across multiple organs, others exhibit organ-specific spread. To identify mechanisms underlying organotropism, we analyzed clinico-genomic data from over 7,000 with cutaneous melanoma three independent cohorts (one primary discovery two validation including a nationwide electronic health record-derived deidentified database), leveraging machine learning approaches to clinical data. We...

10.1101/2025.01.24.633441 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2025-01-27

Classification of patient multicategory survival outcomes is important for personalized cancer treatments. Machine Learning (ML) algorithms have increasingly been used to inform healthcare decisions, but these models are vulnerable biases in data collection and algorithm creation. ML previously shown exhibit racial bias, their fairness towards patients from different age sex groups yet be studied. Therefore, we compared the multimetric performances 5 (random forests, multinomial logistic...

10.1101/2025.02.14.638368 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2025-02-19

Colorectal cancer (CRC) is one of the most common cancers worldwide, and a leading cause deaths. Better classifying multicategory outcomes CRC with clinical omic data may help adjust treatment regimens based on individual's risk. Here, we selected features that were useful for four-category survival outcome using transcriptomic data, or clinical, transcriptomic, microsatellite instability oncogenic-driver (all data) TCGA. We also optimized multimetric feature selection to develop best...

10.1038/s41374-021-00662-x article EN publisher-specific-oa Laboratory Investigation 2021-09-18

miRNA biogenesis is a cellular process that produces mature miRNAs from their primary transcripts, pri-miRNAs, via two RNAse III enzyme complexes: the Drosha-DGCR8 microprocessor complex in nucleus and Dicer-TRBP cytoplasm. Emerging evidence suggests tightly regulated by posttranscriptional posttranslational modifications aberrant associated with various human diseases including cancer. DGCR8 has been shown to be modified SUMOylation. Yet, SUMO ligase mediating SUMOylation currently unknown....

10.1158/2767-9764.crc-22-0344 article EN cc-by Cancer Research Communications 2023-02-16

The introduction of immune checkpoint blockade (ICB) has markedly improved outcomes for advanced melanoma. However, many patients develop resistance through unknown mechanisms. While combination ICB response rate and progression-free survival, it substantially increases toxicity. Biomarkers to distinguish who would benefit from therapy versus aPD-1 remain elusive. We analyzed whole-exome sequencing pretreatment tumors four cohorts ( n = 140) ICB-naïve treated with aPD-1. High genomic...

10.1126/sciadv.adp4670 article EN cc-by-nc Science Advances 2024-11-27

<p>Supplementary Fig. S3 shows that the knockdown of Drosha does not affect USP36 interaction with DGCR8 and Drosha.</p>

10.1158/2767-9764.22546738 preprint EN cc-by 2023-04-04

<p>Supplementary Fig. S4 shows the effects of USP36 on DGCR8 ubiquitination and that SUMOylation does not depend its DUB activity.</p>

10.1158/2767-9764.22546735 preprint EN cc-by 2023-04-04

<p>Supplementary Fig. S2 shows that DGCR8 and Drosha can localize in the nucleolus USP36 colocalize with nucleolus.</p>

10.1158/2767-9764.22546741 preprint EN cc-by 2023-04-04

<p>Supplementary Fig. S1 shows that knockdown of USP36 decreases the levels mature miRNAs in HeLa and IMR-90 cells.</p>

10.1158/2767-9764.22546744 preprint EN cc-by 2023-04-04

<div><p>miRNA biogenesis is a cellular process that produces mature miRNAs from their primary transcripts, pri-miRNAs, via two RNAse III enzyme complexes: the Drosha-DGCR8 microprocessor complex in nucleus and Dicer-TRBP cytoplasm. Emerging evidence suggests miRNA tightly regulated by posttranscriptional posttranslational modifications aberrant associated with various human diseases including cancer. DGCR8 has been shown to be modified SUMOylation. Yet, SUMO ligase mediating...

10.1158/2767-9764.c.6551239.v1 preprint EN 2023-04-04

<div><p>miRNA biogenesis is a cellular process that produces mature miRNAs from their primary transcripts, pri-miRNAs, via two RNAse III enzyme complexes: the Drosha-DGCR8 microprocessor complex in nucleus and Dicer-TRBP cytoplasm. Emerging evidence suggests miRNA tightly regulated by posttranscriptional posttranslational modifications aberrant associated with various human diseases including cancer. DGCR8 has been shown to be modified SUMOylation. Yet, SUMO ligase mediating...

10.1158/2767-9764.c.6551239 preprint EN 2023-04-04

<p>Supplementary Fig. S1 shows that knockdown of USP36 decreases the levels mature miRNAs in HeLa and IMR-90 cells.</p>

10.1158/2767-9764.22546744.v1 preprint EN cc-by 2023-04-04

<p>Supplementary Fig. S2 shows that DGCR8 and Drosha can localize in the nucleolus USP36 colocalize with nucleolus.</p>

10.1158/2767-9764.22546741.v1 preprint EN cc-by 2023-04-04

<p>Supplementary Fig. S4 shows the effects of USP36 on DGCR8 ubiquitination and that SUMOylation does not depend its DUB activity.</p>

10.1158/2767-9764.22546735.v1 preprint EN cc-by 2023-04-04

<p>Supplementary Fig. S3 shows that the knockdown of Drosha does not affect USP36 interaction with DGCR8 and Drosha.</p>

10.1158/2767-9764.22546738.v1 preprint EN cc-by 2023-04-04
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