Evidence map›Paper›PMID 41164128›Full record

ArticleFrontiers in oncology2025

Neoadjuvant chemoimmunotherapy in patients with locally advanced squamous head and neck cancer: A retrospective study.

Qiu-Yi Huang, Ling-Feng Xu, Yuan Wu, Jian Chen

Abstract read
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Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Qiu-Yi Huang *Department of Head and Neck Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ling-Feng Xu *Department of Head and Neck Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yuan WuDepartment of Radiation Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jian ChenDepartment of Head and Neck Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The conventional approach for the treatment of locally advanced head and neck squamous cell carcinoma (HNSCC) entails the combination of surgery with radiotherapy or chemoradiotherapy. However, the survival rate of patients has not improved. This is frequently attributed to the strong invasive and metastatic capabilities of the tumor, which makes it prone to recurrence. In recent years, neoadjuvant chemoimmunotherapy has emerged as a focal point of research. This is primarily due to its remarkable enhancement of the pathological response rate and patient survival. The objective of this study was to conduct a retrospective analysis to evaluate the safety and efficacy of neoadjuvant chemoimmunotherapy in locally advanced HNSCC. Methods: The clinical data of 82 patients with HNSCC, who underwent surgery subsequent to neoadjuvant chemoimmunotherapy during the period from January 1, 2019, to May 31, 2024, were retrospectively incorporated in this study. Analyses were conducted on the pathological response rate, survival data, and adverse events associated with the treatment. Results: This study enrolled 82 patients in total. The oral cavity was the site of malignancies in 41, 50.0% of the cases. Nearly half of the patients (32, 39.0%) were treated with two cycles of neoadjuvant chemoimmunotherapy, while the remaining patients received three or more cycles. 78 patients (95.1%) achieved R0 resection and 65 patients (79.3%) achieved objective response rate (ORR). The pathological complete response (pCR) rate was 25.6% [95% confidence interval (CI), 15.3%-35.1%], and the major pathological response (MPR) rate was 41.5% (95% CI, 30.4%-52.0%). All patients demonstrated good tolerance of neoadjuvant therapy, with a grade 3/4 treatment-related adverse event rate of 14.6%. After a median follow-up of 16 (3-48) months, the 1-year disease-free survival rate was 80.5% (95%CI: 72.4%- 88.6%) and the 1-year overall survival rate was 93.7% (95%CI: 88.7%-99.14%). Conclusions: Neoadjuvant chemoimmunotherapy significantly improves the pathological response rate and R0 resection rate in patients with locally advanced HNSCC with a low incidence of treatment-related adverse events, and our findings suggest its potential as a treatment strategy for locally advanced HNSCC.

Indexed as

chemotherapyhead and neck squamous cell carcinomaimmunotherapyneoadjuvant therapypathological response

Identifiers

PMID41164128
PMCPMC12558733

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.