• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于预测接受前哨淋巴结活检的原发性皮肤黑色素瘤患者结局的 31 基因表达谱的效用。

Utility of a 31-gene expression profile for predicting outcomes in patients with primary cutaneous melanoma referred for sentinel node biopsy.

机构信息

Department of Surgery, Division of Surgical Oncology, Oregon Health & Science University, Portland, OR, USA.

School of Public Health, Texas A and M University, College Station, TX, USA.

出版信息

Am J Surg. 2021 Jun;221(6):1195-1199. doi: 10.1016/j.amjsurg.2021.03.028. Epub 2021 Mar 17.

DOI:10.1016/j.amjsurg.2021.03.028
PMID:33773750
Abstract

BACKGROUND

A 31-gene genetic expression profile (31-GEP; Class 1 = low risk, Class 2 = high risk) developed to predict outcome in cutaneous melanoma (CM) has been validated by retrospective, industry-sponsored, or small series.

METHODS

Tumor features, sentinel node biopsy (SNB) results, and outcomes were extracted from a prospective database of 383 C M patients who underwent SNB and had a 31-GEP run on their primary tumor. Groups were compared by uni- and multi-variable analysis. Relapse-free and distant metastasis-free survival (RFS, DMFS) were estimated by Kaplan-Meier method.

RESULTS

Breslow thickness, T stage, and SNB positivity were significantly higher in Class 2 patients. Recurrence rates were higher for Class 2 vs Class 1 patients and highest in patients who were Class 2 and SNB positive. GEP class was predictive of RFS and DMFS and independently predicted relapse in AJCC "low risk" (stages IA-IIA) patients.

CONCLUSIONS

31-GEP adds prognostic information in CM patents undergoing SNB.

摘要

背景

一种用于预测皮肤黑色素瘤(CM)患者预后的 31 基因表达谱(31-GEP;Class 1=低风险,Class 2=高风险)已通过回顾性、行业赞助或小系列研究得到验证。

方法

从 383 例接受前哨淋巴结活检(SNB)且原发肿瘤进行了 31-GEP 检测的 CM 患者的前瞻性数据库中提取肿瘤特征、SNB 结果和结局数据。通过单变量和多变量分析比较组间差异。采用 Kaplan-Meier 法估计无复发生存(RFS)和无远处转移生存(DMFS)。

结果

Class 2 患者的 Breslow 厚度、T 分期和 SNB 阳性率显著更高。Class 2 患者的复发率高于 Class 1 患者,Class 2 且 SNB 阳性患者的复发率最高。GEP 分级可预测 RFS 和 DMFS,并可独立预测 AJCC“低危”(IA-IIA 期)患者的复发。

结论

31-GEP 在接受 SNB 的 CM 患者中提供了预后信息。

相似文献

1
Utility of a 31-gene expression profile for predicting outcomes in patients with primary cutaneous melanoma referred for sentinel node biopsy.用于预测接受前哨淋巴结活检的原发性皮肤黑色素瘤患者结局的 31 基因表达谱的效用。
Am J Surg. 2021 Jun;221(6):1195-1199. doi: 10.1016/j.amjsurg.2021.03.028. Epub 2021 Mar 17.
2
Prospective validation of the prognostic 31-gene expression profiling test in primary cutaneous melanoma.原发皮肤黑色素瘤中预后 31 基因表达谱检测的前瞻性验证。
Cancer Med. 2019 May;8(5):2205-2212. doi: 10.1002/cam4.2128. Epub 2019 Apr 5.
3
Performance of a prognostic 31-gene expression profile in an independent cohort of 523 cutaneous melanoma patients.在 523 例皮肤黑素瘤患者的独立队列中评估预后 31 基因表达谱的性能。
BMC Cancer. 2018 Feb 5;18(1):130. doi: 10.1186/s12885-018-4016-3.
4
The interval between primary melanoma excision and sentinel node biopsy is not associated with survival in sentinel node positive patients - An EORTC Melanoma Group study.原发性黑色素瘤切除与前哨淋巴结活检之间的间隔时间与前哨淋巴结阳性患者的生存率无关——一项欧洲癌症研究与治疗组织黑色素瘤协作组的研究。
Eur J Surg Oncol. 2016 Dec;42(12):1906-1913. doi: 10.1016/j.ejso.2016.05.012. Epub 2016 May 27.
5
Evaluation of a Gene Expression Profiling Assay in Primary Cutaneous Melanoma.原发性皮肤黑素瘤的基因表达谱分析评估。
Ann Surg Oncol. 2021 Aug;28(8):4582-4589. doi: 10.1245/s10434-020-09563-7. Epub 2021 Jan 23.
6
Validation of a clinicopathological and gene expression profile model to identify patients with cutaneous melanoma where sentinel lymph node biopsy is unnecessary.验证一种临床病理和基因表达谱模型,以识别无需进行前哨淋巴结活检的皮肤黑色素瘤患者。
Eur J Surg Oncol. 2022 Feb;48(2):320-325. doi: 10.1016/j.ejso.2021.11.010. Epub 2021 Nov 10.
7
Identification of high-risk cutaneous melanoma tumors is improved when combining the online American Joint Committee on Cancer Individualized Melanoma Patient Outcome Prediction Tool with a 31-gene expression profile-based classification.当将在线美国联合癌症委员会个体化黑色素瘤患者预后预测工具与基于 31 个基因表达谱的分类相结合时,可以提高高危皮肤黑色素瘤肿瘤的识别能力。
J Am Acad Dermatol. 2017 May;76(5):818-825.e3. doi: 10.1016/j.jaad.2016.11.051. Epub 2017 Jan 19.
8
Predicting sentinel and residual lymph node basin disease after sentinel lymph node biopsy for melanoma.预测黑色素瘤前哨淋巴结活检术后前哨和残留淋巴结区域疾病
Cancer. 2000 Jul 15;89(2):453-62. doi: 10.1002/1097-0142(20000715)89:2<453::aid-cncr34>3.0.co;2-v.
9
Recurrence of cutaneous melanoma of the head and neck after negative sentinel lymph node biopsy.前哨淋巴结活检阴性后头颈部皮肤黑色素瘤复发
Head Neck. 2015 Aug;37(8):1116-21. doi: 10.1002/hed.23718. Epub 2014 Jul 11.
10
Patterns of initial recurrence and prognosis after sentinel lymph node biopsy and selective lymphadenectomy for melanoma.黑色素瘤前哨淋巴结活检及选择性淋巴结清扫术后的初始复发模式及预后
Plast Reconstr Surg. 2003 Aug;112(2):486-97. doi: 10.1097/01.PRS.0000070989.23469.1F.

引用本文的文献

1
Predictive Factors for Sentinel Lymph Node Positivity in Melanoma Patients-The Role of Liquid Biopsy, MicroRNA and Gene Expression Profile Panels.黑色素瘤患者前哨淋巴结阳性的预测因素——液体活检、微小RNA和基因表达谱检测板的作用
Cancers (Basel). 2025 Apr 10;17(8):1281. doi: 10.3390/cancers17081281.
2
A prospective, multicenter analysis of the integrated 31-gene expression profile test for sentinel lymph node biopsy (i31-GEP for SLNB) test demonstrates reduced number of unnecessary SLNBs in patients with cutaneous melanoma.一项针对前哨淋巴结活检的综合31基因表达谱检测(i31-GEP用于SLNB)的前瞻性多中心分析表明,皮肤黑色素瘤患者中不必要的前哨淋巴结活检数量有所减少。
World J Surg Oncol. 2025 Jan 3;23(1):5. doi: 10.1186/s12957-024-03640-x.
3
The Prognostic Value of the 31-Gene Expression Profile Test in Cutaneous Melanoma: A Systematic Review and Meta-Analysis.
31基因表达谱检测在皮肤黑色素瘤中的预后价值:一项系统评价与Meta分析
Cancers (Basel). 2024 Nov 4;16(21):3714. doi: 10.3390/cancers16213714.
4
Integrating the melanoma 31-gene expression profile test with clinical and pathologic features can provide personalized precision estimates for sentinel lymph node positivity: an independent performance cohort.将黑色素瘤 31 基因表达谱检测与临床和病理特征相结合,可为前哨淋巴结阳性提供个体化的精确估计:一项独立的性能队列研究。
World J Surg Oncol. 2024 Aug 30;22(1):228. doi: 10.1186/s12957-024-03512-4.
5
Clinical and Imaging Follow-Up for High-Risk Cutaneous Melanoma: Current Evidence and Guidelines.高危皮肤黑色素瘤的临床及影像学随访:当前证据与指南
Cancers (Basel). 2024 Jul 18;16(14):2572. doi: 10.3390/cancers16142572.
6
Management of melanoma: can we use gene expression profiling to help guide treatment and surveillance?黑色素瘤的治疗管理:我们能否利用基因表达谱分析来帮助指导治疗和监测?
Clin Exp Metastasis. 2024 Aug;41(4):439-445. doi: 10.1007/s10585-023-10241-7. Epub 2023 Dec 8.
7
Expert Consensus on the Use of Prognostic Gene Expression Profiling Tests for the Management of Cutaneous Melanoma: Consensus from the Skin Cancer Prevention Working Group.皮肤黑色素瘤管理中预后基因表达谱检测应用的专家共识:皮肤癌预防工作组共识
Dermatol Ther (Heidelb). 2022 Apr;12(4):807-823. doi: 10.1007/s13555-022-00709-x. Epub 2022 Mar 30.
8
Using a 31-Gene Expression Profile Test to Stratify Patients with Stage I-II Cutaneous Melanoma According to Recurrence Risk: Update to a Prospective, Multicenter Study.使用31基因表达谱检测根据复发风险对Ⅰ-Ⅱ期皮肤黑色素瘤患者进行分层:一项前瞻性多中心研究的更新
Cancers (Basel). 2022 Feb 19;14(4):1060. doi: 10.3390/cancers14041060.