Single-cell transcriptomic profiling and machine learning identify S-nitrosylation-associated LAMC2 as a key prognostic driver in pancreatic cancer

This study establishes S-nitrosylation as a crucial PTM in pancreatic cancer and introduces a robust machine-learning-based prognostic model. LAMC2 is identified as a key oncogenic effector connecting S-nitrosylation dysregulation to tumor aggressiveness, providing novel prognostic and therapeutic insights for pancreatic cancer management.

Institutions

Publication Details

Journal
Discover Oncology
Published
2025-12-21
DOI
https://doi.org/10.1007/s12672-025-04324-y
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single-cell transcriptomic profiling and machine learning identify S-nitrosylation-associated LAMC2 as a key prognostic driver in pancreatic cancer

Discover Oncology
Pancreatic and Hepatic Oncology Research
article

Single-cell transcriptomic profiling and machine learning identify S-nitrosylation-associated LAMC2 as a key prognostic driver in pancreatic cancer

article en

Abstract

This study establishes S-nitrosylation as a crucial PTM in pancreatic cancer and introduces a robust machine-learning-based prognostic model. LAMC2 is identified as a key oncogenic effector connecting S-nitrosylation dysregulation to tumor aggressiveness, providing novel prognostic and therapeutic insights for pancreatic cancer management.

Discover OncologyVol. 17(1)
Xuzhou Medical College (CN), Huaian First People’s Hospital (CN), Chengdu Military General Hospital (CN), Second People’s Hospital of Huai’an (CN), Nanjing Medical University (CN)
Openalex Percentile: Top 43%
Pancreatic and Hepatic Oncology Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.