# Preoperative Low Serum Basophil Levels Predict Poor Prognosis for the Patients with Esophageal Squamous Cell Carcinoma

## TL;DR

Low preoperative basophil levels in blood predict worse outcomes for patients with esophageal cancer, offering a new, low-cost biomarker for prognosis.

## Contribution

Identifies low basophil count as an independent prognostic factor in ESCC, distinct from other inflammation markers.

## Key findings

- Low basophil count is an independent predictor of poor overall survival in ESCC patients.
- Basophil count is not correlated with C-reactive protein levels, suggesting unique prognostic value.
- Patients with low basophil counts had worse clinicopathological outcomes.

## Abstract

A decrease in peripheral basophil count has recently been suggested as a potential marker of poor prognosis in malignancies. This study aimed to determine the optimal cutoff value for basophil count and assess its clinicopathological and prognostic significance in esophageal squamous cell carcinoma (ESCC).

We retrospectively analyzed 194 patients with ESCC (157 men, 37 women; mean age, 67 years [range, 34–88]) who underwent curative surgery between 2010 and 2020, including 100 who received neoadjuvant chemotherapy. Receiver-operating characteristic curve analysis identified an optimal basophil cutoff value of 17.4/μL. Patients were divided into low- and high-basophil groups, and clinicopathological factors and prognosis were assessed using univariate and multivariate analyses.

Low-basophil counts were significantly correlated with low neutrophil counts but not with C-reactive protein level. Multivariate analysis to predict overall survival identified deep invasion, elevated C-reactive protein, and low-basophil count as independent predictors of a poor prognosis (P <0.05).

Low preoperative basophil count is an independent adverse prognostic factor in ESCC. As basophil count was not correlated with C-reactive protein, it may provide prognostic value beyond conventional inflammation-based markers and could represent a simple, low-cost biomarker to aid risk stratification in the preoperative setting.