| Literature DB >> 33106517 |
Hong Yeul Lee1, Jaeyoung Cho1, Nakwon Kwak1, Jinwoo Lee1, Young Sik Park1, Chang-Hoon Lee1, Sang-Min Lee1, Chul-Gyu Yoo1, Young Whan Kim1, Sun Mi Choi2.
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.Entities:
Mesh:
Year: 2020 PMID: 33106517 PMCID: PMC7588444 DOI: 10.1038/s41598-020-75276-2
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Prevalence of malignancies in patients with idiopathic pulmonary fibrosis.
| Malignancy | IPF cohort (n = 579) | |
|---|---|---|
| Event | % | |
| IPF without cancer | 440 | 76.0 |
| Lung cancer | 69 | 11.9 |
| Gastric cancer | 14 | 2.4 |
| Colorectal cancer | 11 | 1.9 |
| Hepatocellular carcinoma | 11 | 1.9 |
| Prostate cancer | 6 | 1.0 |
| Lymphoma, leukaemia | 6 | 1.0 |
| Pancreatobiliary cancer | 4 | 0.7 |
| Neuroendocrine tumour | 3 | 0.5 |
| Breast cancer | 2 | 0.3 |
| Multiple myeloma | 2 | 0.3 |
| Bladder cancer | 2 | 0.3 |
| Malignancy of undefined primary origin | 2 | 0.3 |
| Renal cell carcinoma | 2 | 0.3 |
| Cervical cancer | 1 | 0.2 |
| Thyroid cancer | 1 | 0.2 |
| Head and neck cancer | 1 | 0.2 |
| Skin cancer | 1 | 0.2 |
| Angiosarcoma | 1 | 0.2 |
IPF idiopathic pulmonary fibrosis.
Baseline characteristics of the study population.
| Variables | IPF without cancer | IPF with lung cancer | IPF with extrapulmonary cancer | |
|---|---|---|---|---|
| Age at IPF diagnosis, years | 68.0 (61.0–73.0) | 69.0 (62.0–72.0) | 68.0 (60.0–73.0) | 0.978 |
| Male | 298 (67.7%) | 64 (92.8%) | 57 (81.4%) | < 0.001 |
| Body mass index, kg·m−2 | 24.0 ± 3.1 | 24.0 ± 2.8 | 23.2 ± 2.9 | 0.080 |
| Smokers | 246 (58.0%) | 59 (86.8%) | 53 (77.9%) | < 0.001 |
| Smoking amount, pack-year | 10.0 (0.0–30.0) | 40.0 (23.5–50.0) | 20.0 (10.0–40.0) | < 0.001 |
| History of HT | 148 (33.6%) | 26 (37.7%) | 22 (31.4%) | 0.725 |
| History of DM | 121 (27.5%) | 13 (18.8%) | 20 (28.6%) | 0.294 |
| History of TB | 74 (16.8%) | 10 (14.5%) | 12 (17.1%) | 0.882 |
| FVC, L | 2.40 (1.92–3.01) | 2.94 (2.53–3.44) | 2.78 (2.41–3.31) | < 0.001 |
| FVC, % pred | 74.0 (61.0–87.0) | 78.0 (72.0–93.0) | 82.0 (69.0–96.0) | 0.002 |
| FEV1, L | 1.98 (1.61–2.42) | 2.35 (2.07–2.65) | 2.24 (2.00–2.61) | < 0.001 |
| FEV1, % pred | 88.0 (74.0–103.0) | 88.0 (82.0–103.0) | 94.0 (76.0–114.0) | 0.079 |
| FEV1/FVC, % | 83.0 (77.5–87.0) | 79.0 (74.0–84.0) | 82.0 (75.0–86.0) | < 0.001 |
| DLCO, mL/mm Hg/min | 10.3 (7.8–12.7) | 12.5 (10.3–14.7) | 11.5 (7.9–14.3) | < 0.001 |
| DLCO, % pred | 59.5 (48.0–75.0) | 68.0 (56.0–84.0) | 66.0 (50.0–86.0) | 0.005 |
| GAP score | 3.1 ± 1.4 | 3.0 ± 1.2 | 3.0 ± 1.2 | 0.302 |
Data are presented as n (%), mean ± standard deviation, or median (interquartile range).
D diffusing capacity of the lung for carbon monoxide, DM diabetes mellitus, FEV forced expiratory volume in 1 s, FVC forced vital capacity, GAP score gender, age, and physiology score, HT hypertension; IPF idiopathic pulmonary fibrosis, TB pulmonary tuberculosis, % pred percent predicted.
Figure 1Kaplan–Meier curves for survival in patients with idiopathic pulmonary fibrosis (IPF) stratified by cancer status. (a) The IPF patients with lung cancer group are further classified into the early and advanced groups. (b) Subgroup analysis for survival in IPF patients with lung cancer according to the cancer stage at diagnosis (c) and first-line treatment after lung cancer diagnosis (d). IPF idiopathic pulmonary fibrosis.
Univariate and multivariate Cox regression analysis of the prognostic factors associated with survival in patients with idiopathic pulmonary fibrosis.
| Variables | No. of patients | Univariate analysis | Multivariate analysis | ||
|---|---|---|---|---|---|
| HR (95% CI) | HR (95% CI) | ||||
| IPF without cancer | 440 | Ref | Ref | ||
| IPF with lung cancer | 69 | 1.69 (1.27–2.25) | < 0.001 | 1.83 (1.35–2.48) | < 0.001 |
| IPF with extrapulmonary cancer | 70 | 1.06 (0.77–1.44) | 0.726 | 1.08 (0.78–1.48) | 0.652 |
| Female | 160 | Ref | Ref | ||
| Male | 419 | 1.75 (1.37–2.24) | < 0.001 | 1.65 (1.26–2.15) | < 0.001 |
| < 65 | 217 | Ref | Ref | ||
| ≥ 65 | 362 | 2.41 (1.93–3.02) | < 0.001 | 2.61 (2.06–3.31) | < 0.001 |
| < 18.5 | 26 | Ref | Ref | ||
| ≥ 18.5– < 25 | 349 | 0.30 (0.20–0.47) | < 0.001 | 0.39 (0.25–0.60) | < 0.001 |
| ≥ 25 | 204 | 0.23 (0.15–0.35) | < 0.001 | 0.30 (0.19–0.47) | < 0.001 |
| < 20 | 255 | Ref | |||
| ≥ 20 | 263 | 1.14 (0.92–1.42) | 0.226 | ||
| None | 383 | Ref | |||
| Present | 196 | 0.96 (0.78–1.19) | 0.707 | ||
| None | 425 | Ref | Ref | ||
| Present | 154 | 1.22 (0.97–1.52) | 0.084 | 1.06 (0.84–1.34) | 0.609 |
| ≥ 80 | 245 | Ref | Ref | ||
| < 80 | 333 | 1.64 (1.33–2.02) | < 0.001 | 1.51 (1.16–1.96) | 0.002 |
| ≥ 80 | 387 | Ref | Ref | ||
| < 80 | 191 | 1.20 (0.97–1.48) | 0.089 | 1.06 (0.82–1.38) | 0.656 |
| ≥ 70 | 541 | Ref | |||
| < 70 | 37 | 0.80 (0.52–1.23) | 0.313 | ||
| ≥ 80 | 126 | Ref | Ref | ||
| < 80 | 439 | 1.36 (1.05–1.76) | 0.021 | 1.68 (1.27–2.22) | 0.001 |
D diffusing capacity of the lung for carbon monoxide, FEV forced expiratory volume in 1 s, FVC forced vital capacity, HR hazard ratio, IPF idiopathic pulmonary fibrosis, % pred percent predicted. All variables with a p value of 0.20 or less in the univariate analysis were included in the multivariate analysis.
Cox regression analysis of the prognostic factors associated with survival in lung cancer patients with idiopathic pulmonary fibrosis.
| Variables | No. of patients | Adjusted HR* (95% CI) | |
|---|---|---|---|
| Stage I | 21 | Ref | |
| Stage II | 10 | 1.23 (0.49–3.10) | 0.657 |
| Stage III | 19 | 3.79 (1.73–8.27) | 0.001 |
| Stage IV | 19 | 5.17 (2.31–11.5) | < 0.001 |
| Conservative treatment | 13 | Ref | |
| Surgery | 19 | 0.09 (0.03–0.23) | < 0.001 |
| Radiotherapy | 14 | 0.56 (0.25–1.24) | 0.149 |
| CCRT | 7 | 0.30 (0.10–0.91) | 0.034 |
| Chemotherapy | 16 | 0.69 (0.30–1.59) | 0.385 |
CCRT concurrent chemoradiation therapy, HR hazard ratio. *Adjusted for sex, age, body mass index, forced vital capacity (percent predicted), and diffusing capacity of the lung for carbon monoxide (percent predicted).
Figure 2Rates of emergency room visit and admission to the intensive care unit per 100 person-years. (a) The differences in the rates of emergency room (ER) visits per 100 person-years among the groups. I bars indicate the standard error. (b) The differences in the rates of admission to the intensive care unit (ICU) per 100 person-years among the groups. I bars indicate the standard error. IPF idiopathic pulmonary fibrosis.
Figure 3Annual rates of absolute change from the baseline in FVC and DLCO. (a) The differences in the annual rates of absolute change in FVC among the groups. I bars indicate the standard error. (b) The differences in the annual rates of absolute change in percent predicted DLCO among the groups. I bars indicate the standard error. IPF idiopathic pulmonary fibrosis, FVC forced vital capacity, D diffusing capacity of the lung for carbon monoxide, % pred percent predicted.