| Literature DB >> 32606976 |
Xingyuan Wang1,2, Zeyu Chen1,2, Shi Qiu1,3, Dehong Cao1, Kun Jin1,2, Jin Li1,2, Bo Chen1,2, Yin Huang1,2, Yige Bao1, Liangren Liu1, Qiang Wei1.
Abstract
OBJECTIVE: To study the effect of cryptorchidism on clinical stage (CS) of testicular seminoma (TS). PATIENTS AND METHODS: In the Surveillance Epidemiology and End Results (SEER) database (2006-2016), people with TS were enrolled in our research. Multivariable logistic regression models were constructed to compare the impact of cryptorchidism on CS.Entities:
Keywords: clinical stage; cryptorchidism; testicular seminoma
Year: 2020 PMID: 32606976 PMCID: PMC7320749 DOI: 10.2147/CMAR.S236618
Source DB: PubMed Journal: Cancer Manag Res ISSN: 1179-1322 Impact factor: 3.989
Figure 1Flowchart of the patients’ selection.
Baseline Characteristics of 12,991 Patients Stratified Based on Primary Site of Testis
| Primary Site of Testis | Normal Testis | Cryptorchidism | Testis, NOS | P value |
|---|---|---|---|---|
| 5644 | 272 | 7075 | ||
| 36.0 (14.0–90.0) | 36.5 (13.0–71.0) | 37.0 (13.0–107.0) | <0.001 | |
| <0.001 | ||||
| Pacific Coast | 3400 (60.24%) | 127 (46.69%) | 3382 (47.80%) | |
| Alaska | 16 (0.28%) | 0 (0.00%) | 13 (0.18%) | |
| East | 1075 (19.05%) | 117 (43.01%) | 2916 (41.22%) | |
| Northern Plains | 568 (10.06%) | 15 (5.51%) | 497 (7.02%) | |
| Southwest | 585 (10.36%) | 13 (4.78%) | 267 (3.77%) | |
| <0.001 | ||||
| Single | 2148 (38.06%) | 107 (39.34%) | 2614 (36.95%) | |
| Married | 2850 (50.50%) | 138 (50.74%) | 3441 (48.64%) | |
| Divorced/widowed | 328 (5.81%) | 16 (5.88%) | 435 (6.15%) | |
| Unknown | 318 (5.63%) | 11 (4.04%) | 585 (8.27%) | |
| <0.001 | ||||
| White | 5066 (89.76%) | 226 (83.09%) | 6211 (87.79%) | |
| Black | 154 (2.73%) | 17 (6.25%) | 255 (3.60%) | |
| Asian/Pacific Islander | 221 (3.92%) | 22 (8.09%) | 283 (4.00%) | |
| American Indian/Alaska Native | 75 (1.33%) | 2 (0.74%) | 85 (1.20%) | |
| Unknown | 128 (2.27%) | 5 (1.84%) | 241 (3.41%) | |
| <0.001 | ||||
| 2006 | 442 (7.83%) | 24 (8.82%) | 606 (8.57%) | |
| 2007 | 455 (8.06%) | 25 (9.19%) | 593 (8.38%) | |
| 2008 | 460 (8.15%) | 20 (7.35%) | 677 (9.57%) | |
| 2009 | 488 (8.65%) | 30 (11.03%) | 644 (9.10%) | |
| 2010 | 499 (8.84%) | 41 (15.07%) | 644 (9.10%) | |
| 2011 | 407 (7.21%) | 30 (11.03%) | 725 (10.25%) | |
| 2012 | 403 (7.14%) | 17 (6.25%) | 732 (10.35%) | |
| 2013 | 563 (9.98%) | 17 (6.25%) | 653 (9.23%) | |
| 2014 | 681 (12.07%) | 28 (10.29%) | 622 (8.79%) | |
| 2015 | 612 (10.84%) | 22 (8.09%) | 566 (8.00%) | |
| 2016 | 634 (11.23%) | 18 (6.62%) | 613 (8.66%) | |
| <0.001 | ||||
| Left | 2671 (47.32%) | 116 (42.65%) | 3264 (46.13%) | |
| Right | 2942 (52.13%) | 146 (53.68%) | 3657 (51.69%) | |
| Bilateral | 1 (0.02%) | 3 (1.10%) | 8 (0.11%) | |
| Only one side – side unspecified | 6 (0.11%) | 1 (0.37%) | 25 (0.35%) | |
| Paired site, but no information concerning side | 24 (0.43%) | 6 (2.21%) | 121 (1.71%) |
Clinical Stage of Different Group Patients
| Clinical Stage | Primary Site of Testis | P value | ||
|---|---|---|---|---|
| Normal Testis | Cryptorchidism | Testis, NOS | ||
| I | 3995 (70.78%) | 164 (60.29%) | 5023 (71.00%) | <0.001 |
| II | 485 (8.59%) | 40 (14.71%) | 553 (7.82%) | |
| III | 299 (5.30%) | 28 (10.29%) | 420 (5.94%) | |
| NA | 865 (15.33%) | 40 (14.71%) | 1079 (15.25%) | |
Figure 2Clinical stage in patients with normal testis and cryptorchidism.
Multivariable Logistic Regression Analysis for CS
| Primary Site of Testis | Non-Adjusted Model | Adjusted Model | ||
|---|---|---|---|---|
| OR (95% CI) | P value | OR (95% CI) | P value | |
| Normal testis | 0 | 0 | ||
| Cryptorchidism | 0.14 (0.01, 0.28) | 0.0407 | 0.23 (0.13, 0.32) | <0.0001 |
| Testis, NOS | 0.00 (−0.04, 0.04) | 0.8906 | 0.04 (0.01, 0.07) | 0.0110 |