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Neoadjuvant chemotherapy combined with anti-PD-1 monoclonal antibody in locally advanced resectable oral squamous cell carcinoma: efficacy evaluation and prediction.

1/5 보강
Oral oncology 📖 저널 OA 16.3% 2021: 2/13 OA 2022: 2/23 OA 2023: 2/10 OA 2024: 5/23 OA 2025: 7/36 OA 2026: 7/39 OA 2021~2026 2025 Vol.170() p. 107744
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 3/4)

유사 논문
P · Population 대상 환자/모집단
25 patients who underwent surgical resection.
I · Intervention 중재 / 시술
surgical resection and five received nonsurgical therapy
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
M1 macrophage infiltration, validated by both RNA-seq and IHC, emerges as a novel predictive biomarker for pathological response, providing mechanistic insight into PD-1 blockade efficacy within the tumor microenvironment. [TRIAL REGISTRATION] Chinese clinical trial registry, ChiCTR2400091891.

He X, Xu Y, Ren Y, Wang J, Ni Y, Zheng Y

📝 환자 설명용 한 줄

[BACKGROUND] Neoadjuvant chemotherapy (NAC) combined with anti-PD-1 antibody therapy is a potential treatment option for resectable oral squamous cell carcinoma (OSCC).

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value P < 0.05
  • p-value P < 0.001

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↓ .bib ↓ .ris
APA He X, Xu Y, et al. (2025). Neoadjuvant chemotherapy combined with anti-PD-1 monoclonal antibody in locally advanced resectable oral squamous cell carcinoma: efficacy evaluation and prediction.. Oral oncology, 170, 107744. https://doi.org/10.1016/j.oraloncology.2025.107744
MLA He X, et al.. "Neoadjuvant chemotherapy combined with anti-PD-1 monoclonal antibody in locally advanced resectable oral squamous cell carcinoma: efficacy evaluation and prediction.." Oral oncology, vol. 170, 2025, pp. 107744.
PMID 41075361 ↗

Abstract

[BACKGROUND] Neoadjuvant chemotherapy (NAC) combined with anti-PD-1 antibody therapy is a potential treatment option for resectable oral squamous cell carcinoma (OSCC). Identifying biomarkers to predict therapeutic efficacy remains critical for optimizing this regimen.

[METHODS] Thirty patients with locally advanced, resectable OSCC (T3-T4, N0-N2, M0) who received two cycles of neoadjuvant chemoimmunotherapy (NACI) consisting of paclitaxel (175 mg/m) and cisplatin (75 mg/m) plus the anti-PD-1 monoclonal antibody sintilimab (200 mg) were enrolled in this single-arm phase II trial. Twenty-five patients underwent surgical resection and five received nonsurgical therapy. The primary and secondary end points were pathological response and clinical response, respectively. AI-powered nuclear segmentation and classification was applied to pre-treatment biopsy samples to spatially map inflammatory cell infiltration. Transcriptome RNA sequencing (RNA-seq) analysis and IHC were used to identify differentially expressed genes and immune cell subtypes between patients with and without major pathological response (MPR).

[RESULTS] The MPR rate was 44.0 % among the 25 patients who underwent surgical resection. The objective response rate (ORR) was 53.3 %. The primary tumor location significantly correlated with pathological response (P < 0.05). While AI analysis showed no significant difference in overall inflammatory cell infiltration between groups, immune infiltration analysis of the RNA-seq data revealed significant differences in the proportions of M1- and M2-type macrophages between the MPR and non-MPR groups. CD86 IHC validation across all 12 sequenced patients confirmed significantly elevated M1 infiltration in MPR tumors (13.75 % vs. 4.5 % CD86 cells, P < 0.001), directly linking M1 polarization to therapeutic sensitivity to PD-1 inhibition.

[CONCLUSIONS] NAC combined with anti-PD-1 antibody therapy demonstrates clinically meaningful efficacy in OSCC, accompanied by a manageable toxicity profile. M1 macrophage infiltration, validated by both RNA-seq and IHC, emerges as a novel predictive biomarker for pathological response, providing mechanistic insight into PD-1 blockade efficacy within the tumor microenvironment.

[TRIAL REGISTRATION] Chinese clinical trial registry, ChiCTR2400091891.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

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🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반