Integrated single-cell and bulk RNA sequencing reveals regulated necrosis-associated heterogeneity in pancreatic

Lei Feng1,2, Jianmin Zhang3, Zhonghui Zhu4

  • 1Department of Hepatobiliary Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550001, Guizhou, China. fenglei10806@163.com.

Abstract

Insights

Regulated necrosis-related genes (RNRGs) in pancreatic cancer (PC) show significant heterogeneity, particularly in non-malignant and immune cells. This heterogeneity impacts patient prognosis, with high necrosis activity linked to poorer survival rates.

Area of Science:

  • Oncology
  • Cell Biology
  • Genomics

Background:

  • Regulated necrosis, a form of programmed cell death, plays a role in cancer development.
  • The specific involvement of regulated necrosis-related genes (RNRGs) in pancreatic cancer (PC) is not well understood.
  • This study investigates the heterogeneity of RNRGs within PC.

Purpose of the Study:

  • To elucidate the heterogeneity of regulated necrosis-related genes (RNRGs) in pancreatic cancer (PC).
  • To explore the prognostic implications of RNRG expression patterns in PC.
  • To identify potential therapeutic targets based on RNRG heterogeneity.

Main Methods:

  • Utilized single-cell RNA sequencing (scRNA-seq) data from the Gene Expression Omnibus database.
  • Analyzed transcriptome profiling, somatic mutations, and copy-number alterations from TCGA and ICGC databases.
  • Developed a classifier integrating single-cell and bulk RNA-seq data.

Main Results:

  • Regulated necrosis status in non-malignant cells, especially immunosuppressive immune cells, significantly contributed to PC heterogeneity.
  • PCs were classified into two prognostic groups based on regulated necrosis activity: low activity correlated with better survival, while high activity correlated with poorer survival.
  • Identified A2ML1 as a candidate gene associated with regulated necrotic activity in PC.

Conclusions:

  • Heterogeneity of RNRGs in PC was identified using an integrated scRNA-seq and bulk RNA-seq classifier.
  • Findings enhance understanding of RNRGs in PC, offering new prognostic insights for physicians.
  • Results pave the way for developing more personalized and effective therapeutic strategies for PC.