Local and systemic immunity predict survival in patients with pulmonary sarcomatoid carcinoma

Erin Schenk, Jennifer Boland, Aaron Mansfield, Marie Christine Aubry, Allan B Dietz

Research output: Contribution to journalArticlepeer-review

Abstract

Pulmonary sarcomatoid cancer (PSC) is a rare, aggressive subtype of non-small cell lung cancer, and measures of local and systemic immunity as biomarkers are incompletely known. We performed this study to characterize the leukocyte composition within the tumor, stroma, and peripheral blood in patients with PSC and correlated our findings with overall survival. Tissue from 30 patients diagnosed with PSC was evaluated by IHC for the presence of CD3+, CD14+, and CD19+ cells and PD-L1 expression. A lymphocyte-to-monocyte ratio (LMR) was calculated for the tumor microenvironment (TME) and peripheral blood. Survival analyses were performed based on IHC scores or groups defined by receiver operating characteristic curve cutoffs. CD3+ and CD14+ cells were found throughout the TME. CD19+ cells were almost exclusive to the stroma and correlated with superior overall survival (HR 0.40, 95% CI 0.21–0.72, p = 0.003). Most patients expressed PD-L1 on the tumor and/or the infiltrating immune cells, but neither the presence nor PD-L1 expression level impacted survival. A more prolific immune infiltration of the TME was associated with improved survival (HR 0.82, 95% CI 0.70–0.98, p = 0.029). PSC patients with a TME LMR ≥1.2 had a median survival of 1598 versus 488 days for a TME LMR <1.2 (p = 0.010). In the peripheral blood, an LMR ≥2.3 was associated with improved median survival (1579 vs. 332 days, p < 0.001). Our data demonstrate multiple measures of the local and systemic immunity are associated with patient survival in PSC.

Original languageEnglish (US)
Article number140
JournalMedical Oncology
Volume34
Issue number8
DOIs
StatePublished - Aug 1 2017

Keywords

  • Immune biomarkers
  • PD-L1
  • Sarcomatoid lung cancer
  • Tumor microenvironment

ASJC Scopus subject areas

  • Hematology
  • Oncology
  • Cancer Research

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