基于 DNA 超分子水凝胶的保护性 NK 细胞储库用于增强三阴性乳腺癌治疗
Protective NK Cell Reservoir Based on DNA Supramolecular Hydrogel for Enhanced Triple-Negative Breast Cancer Therapy.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Emerging Biomarkers to Predict Immunotherapy Response in Breast Cancer.
Emerging Biomarkers to Predict Immunotherapy Response in Breast Cancer.
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综述目的:总结并更新乳腺癌免疫治疗应答生物标志物的最新证据,包括目前已使用和正在研究的标志物。 最新发现:目前,免疫检查点抑制剂(ICI)仅获批用于三阴性乳腺癌(TNBC)患者,但所有乳腺癌亚型中都在积极研究ICI。由于仅部分患者能从ICI中获得临床获益,预测性生物标志物对于合理选择治疗至关重要。在转移性TNBC中,肿瘤细胞和/或免疫细胞PD-L1阳性可界定有资格接受ICI治疗的患者,但该标志物并不完美,其表达并不总与ICI获益相关。高肿瘤突变负荷(TMB)和高度微卫星不稳定性(MSI-H)等其他标志物也可作为不依赖肿瘤类型的ICI应答指标。在早期TNBC中,ICI获益似乎不依赖PD-L1表达。TIL(肿瘤浸润淋巴细胞)水平较高通常与更好的ICI应答相关。基因表达特征正在成为新的ICI应答预测因子。乳腺癌中ICI的适应证正在迅速增加。目前可用的生物标志物尚不足以准确预测哪些患者最有可能从ICI治疗中获益,凸显了进一步研究的必要性,以更合理地筛选患者、最大化疗效并限制毒性。
PURPOSE OF REVIEW: Summarize and update the most recent evidence on biomarkers of immunotherapy response in breast cancer including currently used and investigational markers. RECENT FINDINGS: Currently, immune checkpoint inhibitors (ICIs) are approved only for patients with triple negative breast cancers (TNBC); however, ICIs are actively investigated in all breast cancer subtypes. Because only a subset of patients derives clinical benefit from ICIs, predictive biomarkers are crucial for rational treatment selection. In metastatic TNBC, PD-L1 positivity of the tumor and/or immune cells defines the patient population eligible for ICI therapy; however, it is an imperfect biomarker, and its expression does not always correlate with ICI benefit.
Other biomarkers such as high tumor mutation burden (TMB) and microsatellite instability (MSI)-High status also serve as tumor-agnostic indicators of ICI response. In early-stage TNBC, ICI benefit appears to be independent of PD-L1 expression. Higher tumor infiltrating lymphocytes (TILs) are generally associated with improved ICI responses.
Gene expression signatures are emerging as novel predictors of ICI response. The indications for ICIs in breast cancer are rapidly increasing. Currently available biomarkers fall short of accurately predicting which patients will benefit most from ICI therapy, highlighting the need for further research for more rational selection of patients to maximize efficacy and limit toxicities.
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