| Literature DB >> 30961555 |
Sheng-Wen Niu1,2,3, Peir-In Liang4, Ming-Yen Lin2,5, Shih-Meng Yeh6, Yen-Yi Zhen2, Yu-Han Chang3, Pin-Chia Huang3, Chi-Chi Hung2,7, I-Ching Kuo1,2,3, Hugo You-Hsien Lin2,7, Mei-Chuan Kuo8,7, Wei-Ming Li8,7, Chun-Nung Huang8,7, Wen-Jeng Wu8,7,3, Li-Tzong Chen9, Yi-Wen Chiu2,7, Shang-Jyh Hwang10,11.
Abstract
BACKGROUND: Incidence of renal dysfunction and risks of progression to end-stage renal disease (ESRD) were reported higher in upper urinary tract urothelial carcinoma (UTUC) than in renal cell carcinoma (RCC) patients after unilateral nephrectomy.Entities:
Keywords: Glomerulosclerosis; Renal cell carcinoma; Renal survival; Tubulointerstitial nephropathy; Upper urinary tract urothelial carcinoma
Mesh:
Year: 2019 PMID: 30961555 PMCID: PMC6454684 DOI: 10.1186/s12885-019-5414-x
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Fig. 1Flowchart of subject screening
Fig. 2a Tubular necrosis. The left image shows a typical sample, and the right image shows tubular necrosis (vacuolated cells and sloughed, necrotic cells in tubular lumina, with some tubules lined by a flattened epithelium and some showing frank necrosis). (Periodic acid Schiff staining, × 20). b Tubular atrophy. The left image shows a typical sample, and the right image shows tubular atrophy (tubular basement membranes thickening and wrinkling, with simplified tubular epithelial cells, small round tubules with markedly flattened, uniform intratubular casts, and contraction of the tubular lumen adjacent to intact tubules). (Periodic acid Schiff staining, × 20). c Interstitial lymphocyte infiltration. Upper figures: The left image shows a typical sample, and the right image shows interstitial lymphocyte infiltration. The renal cortex shows a diffuse interstitial, predominantly mononuclear, inflammatory infiltrate with no changes in the glomerulus. (Periodic acid Schiff staining, × 10). Lower figures: The left image shows a typical sample, and the right image shows interstitial lymphocyte infiltration. Tubules in the center of the field are separated by inflammation and edema. (Periodic acid Schiff staining, × 20s). d Interstitial fibrosis. The left image shows a typical sample, and the right image shows interstitial fibrosis (connective tissue expansion through tubulointerstitial parenchyma and tubular loss). (Masson’s trichrome, × 10). e Global glomerulosclerosis score. The left figures show a typical sample, and the right figures shows GGS (a solidified nonretracted glomerular tuft with often recognizable tuft adhesions, splitting of Bowman’s capsule, and prominent periglomerular fibrosis). (Upper figures, periodic acid Schiff staining, × 20 and lower figures, H&E staining)
Competing risk analysis in the UTUC and RCC groups to develop renal function impairment (creatinine doubling or receiving dialysis)
| Variable | AHR (95%CI) |
|
|---|---|---|
| Hypertension (yes versus no) | 4.12 (1.57, 10.84) | 0.004 |
| Pre-existing CKD (yes versus no) | 6.20 (1.36, 28.30) | 0.019 |
| Abnormal GGS rate (yes versus no) | 2.41 (1.04, 5.59) | 0.041 |
Competing risk analysis was used as cause-specific hazard ratio estimation for renal outcomes, whereas death before dialysis or creatinine doubling or within 3 months after dialysis or creatinine doubling was considered as a competing event. Covariates in the multivariate model included tumor type (UTUC vs RCC), age, gender, a history of Chinese herb, smoking, diabetes, hyperlipidemia, hydronephrosis, renal stone, and TI score of renal histopathology. Abbreviations are the same as in Table 1
Clinical, laboratory, and pathological characteristics of UTUC and RCC groups
| Variable | UTUC | RCC |
|
|---|---|---|---|
| Female | 75 (56.8%) | 15 (24.6%) | < 0.001 |
| Age (years) | 67.9 ± 9.5 | 57.07 ± 11.58 | < 0.001 |
| Lifestyle | |||
| Chinese herb | 28 (25.0%) | 4 (6.6%) | 0.003 |
| Smoking | 27 (23.5%) | 16 (26.2%) | 0.686 |
| Comorbidity | |||
| Hypertension | 50 (40.0%) | 31 (51.7%) | 0.134 |
| Diabetes mellitus | 29 (23.2%) | 16 (26.7%) | 0.607 |
| Hyperlipidemia | 8 (6.4%) | 3 (5.0%) | 0.706 |
| Hydronephrosis | 53 (47.3%) | 2 (3.3%) | < 0.001 |
| Pre-existing CKD | 101 (76.5%) | 15 (24.6%) | < 0.001 |
| Renal stone | 14 (12.7%) | 4 (6.6%) | 0.208 |
| Laboratory data (Before nephrectomy) | |||
| BUN (mg/dl) | 21.77 ± 15.47 | 16.10 ± 10.94 | 0.015 |
| Crea (mg/dl) | 1.57 ± 1.30 | 1.14 ± 0.77 | 0.018 |
| eGFR (ml/min/m2, CKD-EPI) | 53.8 ± 24.7 | 80.0 ± 23.4 | < 0.001 |
| GPT (IU/L) | 25.08 ± 24.84 | 30.79 ± 26.39 | 0.161 |
| Albumin (mg/dl) | 3.75 ± 0.55 | 4.04 ± 0.51 | 0.017 |
| Na (mEq/L) | 137.31 ± 4.29 | 139.10 ± 2.53 | 0.021 |
| K (mEq/L) | 3.96 ± 0.44 | 3.94 ± 0.39 | 0.698 |
| WBC (× 1000/ul) | 7.70 ± 3.21 | 7.02 ± 1.91 | 0.126 |
| Hb (g/dL) | 11.60 ± 2.07 | 13.40 ± 2.08 | < 0.001 |
| PLT (×1000/ul) | 218.07 ± 76.62 | 229.30 ± 89.14 | 0.398 |
| Renal histopathology | |||
| Distribution of TI score | < 0.001* | ||
| 0 | 13 (9.85%) | 23 (37.70%) | |
| 1~4 | 47 (35.61%) | 28 (45.90%) | |
| 5~8 | 64 (48.48%) | 8 (13.12%) | |
| ≧9 | 8 (6.06%) | 2 (3.28%) | |
| Distribution of GGS rate | < 0.001* | ||
| 0 | 24 (18.18%) | 2 (3.28%) | |
| > 0~10 | 33 (25.00%) | 36 (59.02%) | |
| > 10~25 | 29 (21.97%) | 18 (29.51%) | |
| > 25~50 | 26 (19.70%) | 3 (4.92%) | |
| > 50 (DGGS) | 20 (15.15%) | 2 (3.28%) | |
| Adverse renal outcome | 22 | 4 | 0.056 |
| Creatinine doubling | 6 | 2 | |
| Dialysis | 16 | 2 | |
| Overall mortality | 45 | 15 | 0.019 |
Abbreviations. UTUC upper urinary tract urothelial carcinoma, RCC renal cell carcinoma, CKD chronic kidney disease, GGS global glomerulosclerosis, TI tubulointerstitial, eGFR glomerular filtration rates
Adverse renal outcomes, namely creatinine doubling and entering dialysis
Statistics done by unpaired t-test and *Chi-squared test; p less than 0.05 as significant
Fig. 3Distributions of global glomerulosclerosis (GGS) rates and tubulointerstitial (TI) scores. (a) GGS rate (b) TI score
Fig. 4Distributions of pre-existing chronic kidney disease (CKD) in subjects with upper urinary tract urothelial carcinoma (UTUC) and renal cell carcinoma (RCC) by age and sex. a Overall (b) Male (c) Female
Factors associated with Pre-existing CKD by logistic regression
| COR | 95% CI | AOR | 95%CI | |||
|---|---|---|---|---|---|---|
| Tumor type | ||||||
| RCC | 1.00 | Reference | 1.00 | Reference | ||
| UTUC | 9.99 | (4.92,20.29) | < 0.001 | 3.09 | (1.18,8.06) | 0.021 |
| Gender (male vs female) | 0.65 | (0.36,1.17) | 0.149 | – | – | – |
| Age | 1.14 | (1.10,1.19) | < 0.001 | 1.12 | (1.07,1.18) | < 0.001 |
| Chinese herb | 1.39 | (0.63,3.05) | 0.418 | – | – | – |
| Smoking | 0.95 | (0.47,1.89) | 0.878 | – | – | – |
| Hypertension | 1.37 | (0.75,2.49) | 0.304 | – | – | – |
| DM | 1.13 | (0.57,2.26) | 0.727 | – | – | – |
| Hyperlipidemia | 1.18 | (0.33,4.18) | 0.800 | – | – | – |
| Hydronephrosis | 3.46 | (1.68,7.10) | 0.001 | 1.42 | (0.56,3.63) | 0.459 |
| Renal stone | 2.08 | (0.71,6.12) | 0.184 | – | – | – |
| TI score | 1.24 | (1.12,1.38) | < 0.001 | 1.11 | (0.96,1.28) | 0.153 |
| Abnormal GGS | 4.79 | (2.18,10.54) | < 0.001 | 2.68 | (0.99,7.24) | 0.052 |
Abbreviation: OR odd ratio, CI confidence interval, COR crude OR, AOR adjusted OR. Abbreviations are same as in Table 1