Unknown

Dataset Information

0

Lymph Node Dissections for T3T4 Stage Penile Cancer Patients Without Preoperatively Detectable Lymph Node Metastasis Bring More Survival Benefits: A Propensity Matching Analysis.


ABSTRACT:

Background and aims

The current guidelines for the treatment of penile cancer patients with clinically non-invasive normal inguinal lymph nodes are still broad, so the purpose of this study is to determine which patients are suitable for lymph node dissection (LND).

Methods

Histologically confirmed penile cancer patients (primary site labeled as C60.9-Penis) from 2004 to 2016 in the Surveillance, Epidemiology, and Results database were included in this analysis. Univariate and multivariate Cox regression analyses were applied to determine an overall estimate of LND on overall survival and cancer-specific survival. A 1:1 propensity matching analysis (PSM) was applied to enroll balanced baseline cohort, and further Kaplan-Meier (KM) survival analysis was used to get more reliable results.

Results

Out of 4,458 histologically confirmed penile cancer patients with complete follow-up information, 1,052 patients were finally enrolled in this analysis. Age, pathological grade, T stage, and LND were identified as significant predictors for overall survival (OS) in the univariate Cox analysis. In the multivariate Cox regression, age, pathological grade, T stage, and LND were found significant. The same results were also found in the univariate and multivariate Cox regression analyses for cancer-specific survival (CSS). After the successful PSM, further KM analysis revealed that LND could bring significant OS and CSS benefits for T3T4 patients without lymph node metastasis.

Conclusion

Lymph node dissection may bring survival benefits for penile cancer patients without preoperatively detectable lymph node metastasis, especially for T3T4 stage patients. Further randomized control trial is needed.

SUBMITTER: Li H 

PROVIDER: S-EPMC8497980 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC6589420 | biostudies-literature
| S-EPMC6584403 | biostudies-literature
| S-EPMC8479104 | biostudies-literature
| S-EPMC8339927 | biostudies-literature
| S-EPMC7033474 | biostudies-literature
| S-EPMC9562497 | biostudies-literature
| S-EPMC7465352 | biostudies-literature
| S-EPMC6985546 | biostudies-literature
| S-EPMC4724756 | biostudies-other
| S-EPMC9266734 | biostudies-literature