# Clinicopathologic features of superficial esophageal squamous cell carcinoma in different infiltrative growth pattern

**Authors:** Xing Qi, Zhenxiang Zuo, Bin Yu, Huimin Zhang, Xiujie Cui, Guangchun Li, Honglei Wu

PMC · DOI: 10.3389/fonc.2025.1512433 · Frontiers in Oncology · 2025-07-30

## TL;DR

This study examines how different infiltrative growth patterns in superficial esophageal cancer relate to tumor features and outcomes.

## Contribution

The study identifies specific clinicopathological predictors for different infiltrative growth patterns in superficial esophageal cancer.

## Key findings

- Tumor size, IPCL type, and infiltration depth are significant predictors of INFb-type SESCC.
- Lymphovascular invasion is a strong independent risk factor for INFc-type SESCC.
- INFc-type SESCC is associated with deeper infiltration and higher postoperative resection margins.

## Abstract

Superficial esophageal squamous cell carcinoma (SESCC) is defined as neoplastic lesions limited to the mucosa or submucosa regardless of the nodal status. The infiltrative growth pattern (INF) has been implicated in tumor aggressiveness and prognosis in various cancers, but the application research of INF in SESCC is still unclear. We aimed to investigate the association between INF types and clinicopathological features in SESCC.

We retrospectively analyzed 368 SESCC patients who underwent endoscopic submucosal dissection and precisely defined INF classification from 2014 to 2023. INF was classified as INFa/b/c per Japanese Esophageal Society guidelines. Clinicopathological characteristics were compared across INF types using univariate analysis. Significant variables from univariate analysis were included in multivariate logistic regression to identify independent predictors of INF types.

Univariate analysis revealed that the INF of tumor was associated with tumor size, gross morphology, intraepithelial papillary capillary loop (IPCL), infiltration depth, lymphovascular invasion, and vertical positive margins (All P < 0.05). Multivariate logistic regression demonstrated that tumor size (β=0.28, P=0.004; OR=1.32, 95%CI:1.09-1.59), IPCL (β=0.81, P=0.004; OR=2.24, 95%CI:1.30-3.85), and infiltration depth (β=0.81, P=0.017; OR=2.24, 95%CI:1.15-4.35) were significantly correlated with INFb, while lymphovascular invasion (β=8.77, P=0.007; OR=6456.93, 95%CI:10.96-3803785.49) as an independent risk factor for INFc.

Increased tumor size, presence of IPCL type B2, and depressed gross morphology were more indicative of INFc-type SESCC. Compared with INFa and INFb, INFc type SESCC has deeper infiltration depth and is more likely to have lymphovascular invasion and positive postoperative resection margins. Therefore, careful endoscopic visualization of tumor size, IPCL, and gross morphology can improve the prediction of INF and tumor status, facilitating informed preoperative selection of surgical approach and subsequent postoperative treatments.

## Linked entities

- **Diseases:** esophageal cancer (MONDO:0007576)

## Full-text entities

- **Genes:** IFNA17 (interferon alpha 17) [NCBI Gene 3451] {aka IFN-alphaI, IFNA, INFA, LEIF2C1}
- **Diseases:** bladder and colorectal cancers (MESH:D015179), node (MESH:D012804), B1 (MESH:C566196), metastases (MESH:D009362), malignant tumor (MESH:D009369), INFb lesions (MESH:D009059), lymph node metastasis (MESH:D008207), ESCC (MESH:D018307), IPCL (MESH:D002291), INFa/b/c (MESH:D030401), carcinoma in situ (MESH:D002278), SESCC (MESH:D000077277), gastric cancer (MESH:D013274), depressed (MESH:D003866), EC (MESH:D004938), IPCL of type B2 (MESH:C536943), EAC (MESH:D000230), upper tract urothelial cancer (MESH:D014523), submucosal carcinoma (MESH:C563509)
- **Chemicals:** H&amp;E (MESH:D006371), Hematoxylin (MESH:D006416), formalin (MESH:D005557), Eosin (MESH:D004801)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12343229/full.md

## References

28 references — full list in the complete paper: https://tomesphere.com/paper/PMC12343229/full.md

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Source: https://tomesphere.com/paper/PMC12343229