Clinical and genomic features in patients with second primary glioblastoma following first primary renal cell carcinoma

BMC Cancer. 2023 Jan 30;23(1):104. doi: 10.1186/s12885-023-10541-x.

Abstract

Purpose: To explore the potential pathogenesis and clinical features of second primary glioblastoma (spGBM) following first primary renal cell carcinoma (fpRCC).

Methods: Patients with spGBM after fpRCC were enrolled from our institution and the SEER dataset. Sanger sequencing, whole genome sequencing, and immunehistochemistry were used to detect molecular biomarkers.

Results: Four and 122 cases from our institution and the SEER dataset, respectively, were collected with an overall median age of 69 years at spGBM diagnosis following fpRCC. The median interval time between fpRCC and spGBM was 50.7 months and 4 years, for the four and 122 cases respectively. The median overall survival time was 11.2 and 6.0 months for the two datasets. In addition, spGBM patients of younger age (< 75 years) or shorter interval time (< 1 year) had favorable prognosis (p = 0.081 and 0.05, respectively). Moreover, the spGBM cases were molecularly classified as TERT only paired with TP53 mutation, PIK3CA mutation, EGFR alteration, low tumor mutation burden, and stable microsatellite status.

Conclusions: This is the first study to investigate the pathogenesis and clinical features of spGBM following spRCC. We found that spGBMs are old-age related, highly malignant, and have short survival time. Moreover, they might be misdiagnosed and treated as brain metastases from RCC. Thus, the incidence of spGBMs after fpRCC is underestimated. Further studies are needed to investigate the underlying molecular mechanisms and clinical biomarkers for the development of spGBM following fpRCC.

Keywords: Clinical feature; Genomic feature; Glioblastoma; Renal cell carcinoma.

MeSH terms

  • Aged
  • Biomarkers, Tumor / genetics
  • Carcinoma, Renal Cell* / pathology
  • Genomics
  • Glioblastoma* / pathology
  • Humans
  • Kidney Neoplasms* / pathology
  • Mutation
  • Prognosis

Substances

  • Biomarkers, Tumor