Prognostic heterogeneity of Ki67 in non-small cell lung cancer: A comprehensive reappraisal on immunohistochemistry and transcriptional data.
Yujing YangXinye ShaoZhi LiLingyun ZhangBowen YangBo JinXuejun HuXiujuan QuXiaofang CheYun-Peng LiuPublished in: Journal of cellular and molecular medicine (2024)
In the present study, the debatable prognostic value of Ki67 in patients with non-small cell lung cancer (NSCLC) was attributed to the heterogeneity between lung adenocarcinoma (LUAD) and lung squamous carcinoma (LUSC). Based on meta-analyses of 29 studies, a retrospective immunohistochemical cohort of 1479 patients from our center, eight transcriptional datasets and a single-cell datasets with 40 patients, we found that high Ki67 expression suggests a poor outcome in LUAD, but conversely, low Ki67 expression indicates worse prognosis in LUSC. Furthermore, low proliferation in LUSC is associated with higher metastatic capacity, which is related to the stronger epithelial-mesenchymal transition potential, immunosuppressive microenvironment and angiogenesis. Finally, nomogram model incorporating clinical risk factors and Ki67 expression outperformed the basic clinical model for the accurate prognostic prediction of LUSC. With the largest prognostic assessment of Ki67 from protein to mRNA level, our study highlights that Ki67 also has an important prognostic value in NSCLC, but separate evaluation of LUAD and LUSC is necessary to provide more valuable information for clinical decision-making in NSCLC.
Keyphrases
- small cell lung cancer
- single cell
- end stage renal disease
- neoadjuvant chemotherapy
- poor prognosis
- risk factors
- epithelial mesenchymal transition
- rna seq
- newly diagnosed
- ejection fraction
- chronic kidney disease
- stem cells
- prognostic factors
- peritoneal dialysis
- gene expression
- signaling pathway
- squamous cell carcinoma
- randomized controlled trial
- endothelial cells
- systematic review
- transcription factor
- meta analyses
- risk assessment
- radiation therapy
- vascular endothelial growth factor
- climate change
- small molecule
- lymph node
- patient reported
- long non coding rna
- human health
- health information
- artificial intelligence
- rectal cancer
- wound healing