Prediction models for the viability of pulmonary metastatic lesions after chemotherapy in nonseminomatous germ cell tumors

Resection of Residual Masses After Chemotherapy for Metastatic Nonseminomatous Germ Cell Tumors in Adolescents and Adults

The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context. A case presentation is followed by a description of diagnostic and management challenges, a review of the relevant literature, and a summary of the authors' suggested management approaches. The goal of this series is to help readers better understand how to apply the results of key studies, including those published in the Journal of Clinical Oncology, to patients seen in their own clinical practice.Optimal treatment of patients with testicular germ cell tumors requires a coordinated multidisciplinary approach, so that surgery, chemotherapy, and, when appropriate, radiation therapy can be integrated into a coherent and comprehensive treatment plan. Nonseminomatous germ cell tumors (NSGCT) are often a mixture of teratoma and cancer (choriocarcinoma, embryonal carcinoma, seminoma, and/or yolk sac tumor). While the cancers are highly sensitive to and often cured by chemotherapy, teratoma is resistant to chemotherapy and radiation therapy and generally must be resected surgically to be successfully treated. Therefore, the standard of care for metastatic NSGCT is to resect all resectable residual masses after chemotherapy. If such resection reveals only teratoma and/or necrosis/fibrosis, then patients are put on a surveillance schedule to monitor for relapse. If viable cancer is found and there are positive margins or 10% or more of any of the residual masses consists of viable cancer, then two cycles of adjuvant chemotherapy should be considered.

LAPTM5 Plays a Key Role in the Diagnosis and Prognosis of Testicular Germ Cell Tumors

Objective

Testicular germ cell tumors (TGCT) are a serious malignant tumor with low early diagnosis rates and high mortality.

Methods

To investigate novel biomarkers to predict the diagnosis and prognosis of this cancer, bioinformatics analysis was used as an accurate, efficient, and economical method.

Results

Our study detected 39 upregulated and 589 downregulated differentially expressed genes (DEGs) using the GEO and TCGA databases. To identify the function of DEGs, GO functional analysis, three pathway analysis (KEGG, REACTOME, and PANTHER), and protein-protein interaction network were performed using the KOBAS website, as well as the String database. After a series of analyses in GEPIA and TIMER, including differential expression, we found one candidate gene related to the prognosis and diagnosis of TGCT. LAPTM5 was also associated with CD8+ T cell and PDCD1 expression, which suggests that it may affect immune infiltration.

Conclusions

LAPTM5 was identified as a hub gene, which could be used as a potential biomarker for TGCT diagnosis and prognosis.