| Literature DB >> 35117388 |
Tao Jiang1, Yu-Peng Wu1, Shao-Hao Chen1, Zhi-Bin Ke1, Ying-Chun Liang1, Ning Xu1.
Abstract
BACKGROUND: To compare clinicopathological characteristics and prognosis of bilateral and unilateral renal cell carcinoma.Entities:
Keywords: Unilateral; bilateral; cancer-specific survival (CSS); overall survival (OS); renal cell carcinoma (RCC)
Year: 2020 PMID: 35117388 PMCID: PMC8798000 DOI: 10.21037/tcr.2019.11.22
Source DB: PubMed Journal: Transl Cancer Res ISSN: 2218-676X Impact factor: 1.241
Relevant patient characteristics stratified by laterality
| Laterality | Unilateral | Bilateral | Total | P value |
|---|---|---|---|---|
| N | 41,542 (99.925%) | 31 (0.075%) | 41,573 (100%) | |
| Gender | 0.047 | |||
| Female | 15,172 (36.522%) | 6 (19.355%) | 15,178 (36.509%) | |
| Male | 26,370 (63.478%) | 25 (80.645%) | 26,395 (63.491%) | |
| Age classification | 0.938 | |||
| <54 | 11,577 (27.868%) | 9 (29.032%) | 11,586 (27.869%) | |
| ≥54, <74 | 23,492 (56.550%) | 17 (54.839%) | 23,509 (56.549%) | |
| ≥74 | 6473 (15.582%) | 5 (16.129%) | 6,478 (15.582%) | |
| Race | 0.04 | |||
| Black | 4,397 (11.366%) | 7 (24.138%) | 4,404 (11.375%) | |
| White | 34,290 (88.634%) | 22 (75.862%) | 3,4312 (88.625%) | |
| Grade | 0.211 | |||
| Grade I | 3,666 (8.825%) | 3 (9.677%) | 3,669 (8.825%) | |
| Grade II | 18,074 (43.508%) | 7 (22.581%) | 18,081 (43.492%) | |
| Grade III | 11,788 (28.376%) | 13 (41.935%) | 11,801 (28.386%) | |
| Grade IV | 3,140 (7.559%) | 3 (9.677%) | 3,143 (7.560%) | |
| Unknown | 4,874 (11.733%) | 5 (16.129%) | 4,879 (11.736%) | |
| T stage | <0.001 | |||
| T1 | 22,284 (53.642%) | 6 (19.355%) | 22,290 (53.617%) | |
| T2 | 7,210 (17.356%) | 5 (16.129%) | 7,215 (17.355%) | |
| T3 | 11,591 (27.902%) | 15 (48.387%) | 11,606 (27.917%) | |
| T4 | 457 (1.100%) | 5 (16.129%) | 462 (1.111%) | |
| N stage | 0.009 | |||
| N0 | 39,647 (97.222%) | 26 (86.667%) | 39,673 (97.214%) | |
| N1 | 1,133 (2.778%) | 4 (13.333%) | 1,137 (2.786%) | |
| M stage | <0.001 | |||
| M0 | 37,963 (91.385%) | 22 (70.968%) | 37,985 (91.369%) | |
| M1 | 3,579 (8.615%) | 9 (29.032%) | 3,588 (8.631%) | |
| Pathology | 0.074 | |||
| Papillary adenocarcinoma, NOS | 4,100 (10.482%) | 5 (16.129%) | 4,105 (10.486%) | |
| Clear cell adenocarcinoma, NOS | 27,178 (69.481%) | 16 (51.613%) | 27,194 (69.466%) | |
| Renal cell carcinoma | 7,838 (20.038%) | 10 (32.258%) | 7,848 (20.048%) |
Figure 1Relationships between age and overall survival (OS) and cancer-specific survival (CSS). A nonlinear relationship between age and OS (A) and CSS (B) was identified and was still present after adjusting for factors potentially associated with OS (C) and CSS (D), including laterality, sex, tumor pathology, race, grade, and T, N, and M stages.
Threshold effect analysis of age and overall survival and cancer-specific survival using a piecewise linear regression model
| Turning point of age | CSS | CSS adjusted | OS | OS adjusted |
|---|---|---|---|---|
| <54 | 1.046 (1.037, 1.054)* | 1.012 (1.000, 1.024) | 1.045 (1.038, 1.052)* | 1.020 (1.010, 1.030)* |
| ≥54, <74 | 1.015 (1.011, 1.018)* | 1.018 (1.012, 1.023)* | 1.031 (1.028, 1.034)* | 1.034 (1.030, 1.039)* |
| ≥74 | 1.078 (1.071, 1.086)* | 1.061 (1.044, 1.079)* | 1.082 (1.077, 1.088)* | 1.074 (1.063, 1.086)* |
*P<0.001. Adjusted: laterality, gender, pathology, race, grade, T stage, N stage, M stage. CSS, cancer-specific survival; OS, overall survival.
Figure 2Multivariate Cox regression analysis of risk factors associated with overall survival and cancer-specific survival of RCC was performed and forest plots of hazard ratios generated.
Figure 3Overall survival (A) and cancer specific survival (B) of patients with renal cell carcinoma according to laterality.
Figure 4Overall survival (A) and cancer specific survival (B) of patients with renal cell carcinoma according to age category.
Figure 5Overall survival (A) and cancer specific survival (B) of patients with renal cell carcinoma according to T stage.
Figure 6Subgroup analysis was performed to determine potential confounding factors of laterality and forest plots of hazard ratio generated.