Letter
Open Access
Redefining Pathologic Complete Response through Standardized Assessment and Molecular Surveillance in Esophageal Squamous Cell Carcinoma
1
Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou, China
2
Postgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, China
3
Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China
* Corresponding Authors:
Feng Li,
[email protected]; Jian Zeng,
[email protected]
Volume 1, Issue 1
2026
Received: 05 March 2026
Accepted: 06 April 2026
Published: 08 April 2026
Article Information
Abstract
This is a Letter discussing a recently published article.
Keywords
Esophageal squamous cell carcinoma
Pathologic complete response
Letter
Data Availability Statement
Not applicable.
Funding
This work was supported without any funding.
Conflicts of Interest
The authors declare no conflicts of interest.
AI Use Statement
The authors declare that no generative AI was used in the preparation of this manuscript.
Ethical Approval and Consent to Participate
Not applicable.
References
- Yuan, C., Chen, C., Liu, Z., Tan, L., Li, Y., Tian, Z., ... & Liu, Z. (2026). Pathologic complete response after neoadjuvant immunochemotherapy: persistent recurrence risk highlights the need for stratified management. The Journal of Thoracic and Cardiovascular Surgery.
[CrossRef] [Google Scholar] - Deutsch, J. S., Scolyer, R. A., Burton, E., Busam, K. J., Chen, K. Y., Cimino-Mathews, A., ... & SITC and INMC. (2026). Updated pan-tumor guidelines for neoadjuvant scoring of pathologic response: a joint SITC and INMC effort. Annals of Oncology, 37(2), 141-154.
[CrossRef] [Google Scholar] - Cote, R. J. (2003). Occult metastases: real harm or false alarm? The Journal of Thoracic and Cardiovascular Surgery, 126(2), 332-333.
[CrossRef] [Google Scholar] - Liu, Z., Wang, G., Yang, Y., Su, Y., Zhang, H., Liu, J., ... & Liu, Z. (2025). ctDNA detects residual disease after neoadjuvant chemoradiotherapy and guides adjuvant therapy in esophageal squamous cell carcinoma. Cell Reports Medicine, 6(9), 102334.
[CrossRef] [Google Scholar]
Cite This Article
APA Style
Pan, Y., Li, F., & Zeng, J. (2026). Redefining Pathologic Complete Response through Standardized Assessment and Molecular Surveillance in Esophageal Squamous Cell Carcinoma. Oncology Communications, 1(1), 43–44. https://doi.org/10.62762/OC.2026.701176
Export Citation
RIS Format
Compatible with EndNote, Zotero, Mendeley, and other reference managers
TY - JOUR AU - Pan, Yang AU - Li, Feng AU - Zeng, Jian PY - 2026 DA - 2026/04/08 TI - Redefining Pathologic Complete Response through Standardized Assessment and Molecular Surveillance in Esophageal Squamous Cell Carcinoma JO - Oncology Communications T2 - Oncology Communications JF - Oncology Communications VL - 1 IS - 1 SP - 43 EP - 44 DO - 10.62762/OC.2026.701176 UR - https://www.icck.org/article/abs/OC.2026.701176 KW - Esophageal squamous cell carcinoma KW - Pathologic complete response KW - Letter AB - This is a Letter discussing a recently published article. SN - 3142-8894 PB - Institute of Central Computation and Knowledge LA - English ER -
BibTeX Format
Compatible with LaTeX, BibTeX, and other reference managers
@article{Pan2026Redefining,
author = {Yang Pan and Feng Li and Jian Zeng},
title = {Redefining Pathologic Complete Response through Standardized Assessment and Molecular Surveillance in Esophageal Squamous Cell Carcinoma},
journal = {Oncology Communications},
year = {2026},
volume = {1},
number = {1},
pages = {43-44},
doi = {10.62762/OC.2026.701176},
url = {https://www.icck.org/article/abs/OC.2026.701176},
abstract = {This is a Letter discussing a recently published article.},
keywords = {Esophageal squamous cell carcinoma, Pathologic complete response, Letter},
issn = {3142-8894},
publisher = {Institute of Central Computation and Knowledge}
}
Article Metrics
Publisher's Note
ICCK stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and Permissions
Copyright © 2026 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
Scan to read this article