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Prognostic impact of malignant diseases in idiopathic pulmonary fibrosis.

ABSTRACT: No studies on idiopathic pulmonary fibrosis (IPF) have investigated the prognostic impact of extrapulmonary cancers in patients with IPF. We aimed to determine the prognostic impact of malignancies in patients with IPF. We retrospectively reviewed the medical records of patients diagnosed with IPF between 2001 and 2015. Patients were divided into three groups: IPF without cancer (n?=?440), IPF with lung cancer (n?=?69), and IPF with extrapulmonary cancer (n?=?70). Of the 579 patients with IPF, 139 (24%) had cancer; the three most common types were lung (11.9%), gastric (2.4%), and colorectal (1.9%). Survival was significantly worse in patients with lung cancer than in those without cancer (hazard ratio [HR]?=?1.83, 95% confidence interval [CI], 1.35-2.48) or those with extrapulmonary cancer (HR?=?1.70, 95% CI, 1.14-2.54). The rate of hospitalisation for cancer-related complications was significantly higher in IPF patients with lung cancer than in those with extrapulmonary cancer. The annual rates of decline in percent predicted forced vital capacity and diffusion capacity for carbon monoxide did not differ among the groups. Physicians should pay attention to the development and progression of cancer and its prognostic impact in patients with IPF.

SUBMITTER: Lee HY

PROVIDER: S-EPMC7588444 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Prognostic impact of malignant diseases in idiopathic pulmonary fibrosis.

Lee Hong Yeul HY Cho Jaeyoung J Kwak Nakwon N Lee Jinwoo J Park Young Sik YS Lee Chang-Hoon CH Lee Sang-Min SM Yoo Chul-Gyu CG Kim Young Whan YW Choi Sun Mi SM

Scientific reports 20201026 1

No studies on idiopathic pulmonary fibrosis (IPF) have investigated the prognostic impact of extrapulmonary cancers in patients with IPF. We aimed to determine the prognostic impact of malignancies in patients with IPF. We retrospectively reviewed the medical records of patients diagnosed with IPF between 2001 and 2015. Patients were divided into three groups: IPF without cancer (n = 440), IPF with lung cancer (n = 69), and IPF with extrapulmonary cancer (n = 70). Of the 579 patients with IPF, 1 ...[more]

PMID: 33106517

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Project description:BackgroundGiven the plethora of pathophysiologic mechanisms described in idiopathic pulmonary fibrosis (IPF), we hypothesize that the mechanisms driving fibrosis in IPF may be different from one patient to another.Research questionDo IPF endotypes exist and are they associated with outcome?Study design and methodsUsing a publicly available gene expression dataset retrieved from BAL samples of patients with IPF and control participants (GSE70867), we clustered IPF samples based on a dimension reduction algorithm specifically designed for -omics data, called DDR Tree. After clustering, gene set enrichment analysis was performed for functional annotation, associations with clinical variables and prognosis were investigated, and differences in transcriptional regulation were determined using motif enrichment analysis. The findings were validated in three independent publicly available gene expression datasets retrieved from IPF blood samples.ResultsOne hundred seventy-six IPF samples from three centers were clustered in six IPF clusters, with distinct functional enrichment. Although clinical characteristics did not differ between the clusters, one cluster conferred worse sex-age-physiology score-corrected survival, whereas another showed a numeric trend toward worse survival (P = .08). The first was enriched for increased epithelial and innate and adaptive immunity signatures, whereas the other showed important telomere and mitochondrial dysfunction, loss of proteostasis, and increased myofibroblast signatures. The existence of these two endotypes, including the impact on survival of the immune endotype, was validated in three independent validation cohorts. Finally, we identified transcription factors regulating the expression of endotype-specific survival-associated genes.InterpretationGene expression-based endotyping in IPF is feasible and can inform clinical evolution. As endotype-specific pathways and survival-associated transcription factors are identified, endotyping may open up the possibility of endotype-tailored therapy.

Dataset Information

Prognostic impact of malignant diseases in idiopathic pulmonary fibrosis.

Publications

Prognostic impact of malignant diseases in idiopathic pulmonary fibrosis.

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