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Anti-Human Epidermal Growth Factor Receptor-2 Therapies in Biliary Tract Cancers: A Meta-Analysis on Disease Location, Human Epidermal Growth Factor Receptor-2 Status, and Survival Outcomes.

메타분석 1/5 보강
Oncology 📖 저널 OA 20.8% 2023: 0/1 OA 2025: 7/29 OA 2026: 9/47 OA 2023~2026 2026 Vol.104(3) p. 306-318
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
환자: HER2-positive locally advanced/metastatic BTC treated with anti-HER2 therapies
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSIONS] Our meta-analyses have revealed improved efficacy in patients with HER2 3+ metastatic BTC and in patients with GBC or eCCA treated with anti-HER2 therapies, with a considerable mPFS and mOS in the overall population of the phase II trials analyzed. Further studies are paramount to confirm our preliminary results.

Camera S, Rimini M, Foti S, Lo Prinzi F, Vitiello F, Amadeo E

📝 환자 설명용 한 줄

[INTRODUCTION] In recent years, the therapeutic scenario of metastatic biliary tract cancers (BTCs) beyond first-line has profoundly changed owing to target therapies.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value p = 0.0119
  • p-value p = 0.0275
  • 95% CI 1.34-10.25
  • 연구 설계 systematic review

이 논문을 인용하기

↓ .bib ↓ .ris
APA Camera S, Rimini M, et al. (2026). Anti-Human Epidermal Growth Factor Receptor-2 Therapies in Biliary Tract Cancers: A Meta-Analysis on Disease Location, Human Epidermal Growth Factor Receptor-2 Status, and Survival Outcomes.. Oncology, 104(3), 306-318. https://doi.org/10.1159/000545308
MLA Camera S, et al.. "Anti-Human Epidermal Growth Factor Receptor-2 Therapies in Biliary Tract Cancers: A Meta-Analysis on Disease Location, Human Epidermal Growth Factor Receptor-2 Status, and Survival Outcomes.." Oncology, vol. 104, no. 3, 2026, pp. 306-318.
PMID 40418900 ↗
DOI 10.1159/000545308

Abstract

[INTRODUCTION] In recent years, the therapeutic scenario of metastatic biliary tract cancers (BTCs) beyond first-line has profoundly changed owing to target therapies. human epidermal growth factor receptor-2 (HER2) represents a promising molecular target that is frequently altered in BTC. The present meta-analyses aimed to describe the response rates and survival outcomes in patients with HER2-positive locally advanced/metastatic BTC treated with anti-HER2 therapies. Moreover, the study is intended to provide an update on the evolving therapeutic scenario of HER2-overexpressed BTC.

[METHODS] We performed a systematic review of the literature to identify clinical trials investigating any regimen comprising a HER2-targeted therapy for metastatic BTC, and we conducted three subsequent meta-analyses on second-line phase II trials. The first one was performed to compare the group of HER2 3+ versus the group of HER2 2+ BTC patients for objective response rate (ORR). The second one compared patients according to the tumor location (gallbladder carcinoma [GBC] or extrahepatic cholangiocarcinoma [eCCA] versus intrahepatic cholangiocarcinoma [iCCA]) for ORR. The third one evaluated the overall outcomes in terms of overall survival (OS) and progression-free survival (PFS).

[RESULTS] Patients with advanced BTC and HER2 3+ had better ORR compared to HER2 2+, with a 3.7-fold higher probability of experiencing objective responses (HR 3.70, 95% CI, 1.34-10.25, p = 0.0119). Likewise, patients with GBC or eCCA had a 2.74-fold higher probability of experiencing an objective response compared to patients with iCCA (HR 2.74, 95% CI, 1.12-6.73, p = 0.0275). The weighted pooled analysis of trials with anti-HER2 agents in second line or beyond revealed an mPFS of 4.9 months (95% CI, 4.2-5.6), while mOS was 10.8 months (95% CI, 9.0-12.8).

[CONCLUSIONS] Our meta-analyses have revealed improved efficacy in patients with HER2 3+ metastatic BTC and in patients with GBC or eCCA treated with anti-HER2 therapies, with a considerable mPFS and mOS in the overall population of the phase II trials analyzed. Further studies are paramount to confirm our preliminary results.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

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