• 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

相似文献

1
Risk, molecular subtype and prognosis of second primary breast cancer: an analysis based on first primary cancers.第二原发性乳腺癌的风险、分子亚型及预后:基于第一原发性癌症的分析
Am J Cancer Res. 2023 Jul 15;13(7):3203-3220. eCollection 2023.
2
Characteristics of second primary breast cancer after ovarian cancer: a Korea central cancer registry retrospective study.卵巢癌后发生的第二原发性乳腺癌的特征:一项韩国中央癌症登记处的回顾性研究
Front Oncol. 2023 Sep 14;13:1208320. doi: 10.3389/fonc.2023.1208320. eCollection 2023.
3
Survival prediction in second primary breast cancer patients with machine learning: An analysis of SEER database.基于 SEER 数据库的机器学习在第二原发乳腺癌患者生存预测中的分析。
Comput Methods Programs Biomed. 2024 Sep;254:108310. doi: 10.1016/j.cmpb.2024.108310. Epub 2024 Jun 25.
4
Prognostic Factors Affecting Survival of Patients With Single Primary Breast Cancer vs Patients With Multiple Primary Cancers in Lifetime, One of Which is Breast Cancer.影响单发性原发性乳腺癌患者与一生中存在多种原发性癌症(其中一种为乳腺癌)患者生存的预后因素。
Am Surg. 2024 Nov;90(11):2745-2755. doi: 10.1177/00031348241248695. Epub 2024 Apr 27.
5
Risk of second primary breast cancer among cancer survivors: Implications for prevention and screening practice.癌症幸存者中第二原发乳腺癌的风险:对预防和筛查实践的影响。
PLoS One. 2020 Jun 4;15(6):e0232800. doi: 10.1371/journal.pone.0232800. eCollection 2020.
6
Clinical characteristics and survival of second primary breast carcinoma with extramammary malignancies.伴有乳腺外恶性肿瘤的第二原发性乳腺癌的临床特征与生存情况
Front Oncol. 2023 Mar 17;13:1160370. doi: 10.3389/fonc.2023.1160370. eCollection 2023.
7
Relationship between metastasis and second primary cancers in women with breast cancer.乳腺癌女性患者转移与第二原发性癌症之间的关系。
Front Oncol. 2022 Sep 29;12:942320. doi: 10.3389/fonc.2022.942320. eCollection 2022.
8
Second Primary Breast Cancer in Young Breast Cancer Survivors.年轻乳腺癌幸存者的第二原发乳腺癌。
JAMA Oncol. 2024 Jun 1;10(6):718-725. doi: 10.1001/jamaoncol.2024.0286.
9
The changes of subtype markers between first and second primary breast cancers.首次和二次原发性乳腺癌之间亚型标志物的变化。
Cancer Med. 2023 Jun;12(12):13649-13660. doi: 10.1002/cam4.5979. Epub 2023 Apr 25.
10
Tumor marker phenotype concordance in second primary breast cancer, California, 1999-2004.1999-2004 年加利福尼亚州第二原发乳腺癌的肿瘤标志物表型一致性。
Breast Cancer Res Treat. 2010 Feb;120(1):217-27. doi: 10.1007/s10549-009-0469-z. Epub 2009 Jul 21.

引用本文的文献

1
Development and validation of novel machine learning-based prognostic models and propensity score matching for comparison of surgical approaches in mucinous breast cancer.基于新型机器学习的预后模型的开发与验证以及倾向评分匹配用于黏液性乳腺癌手术方法比较
Front Endocrinol (Lausanne). 2025 Jun 3;16:1557858. doi: 10.3389/fendo.2025.1557858. eCollection 2025.
2
Random survival forest predicts survival in patients with metastatic laryngeal and hypopharyngeal cancer and the prognostic benefits of surgery and radiotherapy.随机生存森林预测转移性喉癌和下咽癌患者的生存情况以及手术和放疗的预后益处。
J Cancer. 2025 Jan 1;16(2):603-621. doi: 10.7150/jca.103793. eCollection 2025.
3
Comparison of clinical characteristics and pathologic complete response rate after neoadjuvant chemotherapy in women under 35 years and older women with breast cancer.35岁以下和35岁及以上乳腺癌女性新辅助化疗后的临床特征及病理完全缓解率比较
Gland Surg. 2024 Nov 30;13(11):1907-1920. doi: 10.21037/gs-24-293. Epub 2024 Nov 24.
4
Deep neural network provides personalized treatment recommendations for metastatic breast cancer patients.深度神经网络为转移性乳腺癌患者提供个性化治疗建议。
J Cancer. 2024 Oct 28;15(20):6668-6685. doi: 10.7150/jca.101293. eCollection 2024.
5
Prevalence of cardiometabolic outcomes in women who underwent salpingo-oophorectomy to prevent hereditary breast and ovarian cancer: a meta-analysis.预防遗传性乳腺癌和卵巢癌的女性行输卵管卵巢切除术的心血代谢结局的患病率:一项荟萃分析。
Fam Cancer. 2024 Nov 15;24(1):5. doi: 10.1007/s10689-024-00431-x.

本文引用的文献

1
Risk factors and prognostic nomogram for patients with second primary cancers after lung cancer using classical statistics and machine learning.利用经典统计学和机器学习方法分析肺癌患者发生第二原发性肿瘤的风险因素和预后列线图。
Clin Exp Med. 2023 Sep;23(5):1609-1620. doi: 10.1007/s10238-022-00858-5. Epub 2022 Jul 11.
2
Cancer statistics, 2022.癌症统计数据,2022 年。
CA Cancer J Clin. 2022 Jan;72(1):7-33. doi: 10.3322/caac.21708. Epub 2022 Jan 12.
3
Nonmetastatic breast cancer patients subsequently developing second primary malignancy: A population-based study.非转移性乳腺癌患者随后发生第二原发性恶性肿瘤:一项基于人群的研究。
Cancer Med. 2021 Dec;10(23):8662-8672. doi: 10.1002/cam4.4351. Epub 2021 Oct 13.
4
Second Primary Malignancies in Patients With Hepatocellular Carcinoma: A Population-Based Analysis.肝细胞癌患者的第二原发性恶性肿瘤:一项基于人群的分析。
Front Oncol. 2021 Aug 23;11:713637. doi: 10.3389/fonc.2021.713637. eCollection 2021.
5
The risk and prognosis of secondary primary malignancy in lung cancer: a population-based study.肺癌中继发原发性恶性肿瘤的风险和预后:一项基于人群的研究。
Future Oncol. 2021 Nov;17(33):4497-4509. doi: 10.2217/fon-2021-0045. Epub 2021 Aug 17.
6
Increased risk of breast cancer-specific mortality among cancer survivors who developed breast cancer as a second malignancy.在因第二种恶性肿瘤而患有乳腺癌的癌症幸存者中,乳腺癌特异性死亡风险增加。
BMC Cancer. 2021 May 3;21(1):491. doi: 10.1186/s12885-021-08132-9.
7
Breast Cancer Risk Genes - Association Analysis in More than 113,000 Women.乳腺癌风险基因 - 超过 113000 名女性的关联分析。
N Engl J Med. 2021 Feb 4;384(5):428-439. doi: 10.1056/NEJMoa1913948. Epub 2021 Jan 20.
8
Association of First Primary Cancer With Risk of Subsequent Primary Cancer Among Survivors of Adult-Onset Cancers in the United States.美国成年癌症患者中首次原发性癌症与随后发生的原发性癌症风险之间的关联。
JAMA. 2020 Dec 22;324(24):2521-2535. doi: 10.1001/jama.2020.23130.
9
Mutation Rates in Cancer Susceptibility Genes in Patients With Breast Cancer With Multiple Primary Cancers.患有多发性原发性癌症的乳腺癌患者中癌症易感基因的突变率
JCO Precis Oncol. 2020 Aug 19;4. doi: 10.1200/PO.19.00301. eCollection 2020.
10
Risk of second primary breast cancer among cancer survivors: Implications for prevention and screening practice.癌症幸存者中第二原发乳腺癌的风险:对预防和筛查实践的影响。
PLoS One. 2020 Jun 4;15(6):e0232800. doi: 10.1371/journal.pone.0232800. eCollection 2020.

第二原发性乳腺癌的风险、分子亚型及预后:基于第一原发性癌症的分析

Risk, molecular subtype and prognosis of second primary breast cancer: an analysis based on first primary cancers.

作者信息

Li Chaofan, Du Chong, Wang Yusheng, Liu Mengjie, Zhao Fang, Li Jia, Wang Weiwei, Wei Xinyu, Qu Jingkun, Zhou Zhangjian, Zhang Yinbin, Zhang Shuqun

机构信息

Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University No. 157 West Fifth Street, Xi'an, Shaanxi, P. R. China.

Department of Otolaryngology, The Second Affiliated Hospital of Xi'an Jiaotong University No. 157 West Fifth Street, Xi'an, Shaanxi, P. R. China.

出版信息

Am J Cancer Res. 2023 Jul 15;13(7):3203-3220. eCollection 2023.

PMID:37559977
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10408461/
Abstract

Second primary breast cancer (SPBC) was potentially related to other cancers, which may impact its incidence, prognosis and therapeutic approaches. Nevertheless, few studies have characterized this relationship and analyzed the subtypes of SPBC. Our study intended to investigate the occurrence and prognosis of SPBC. We analyzed the patterns, clinical characteristics, standardized incidence ratio (SIR) and standardized mortality ratio (SMR) of patients with SPBC. The propensity score matching (PSM) approach was further used to balance the differences in clinical features between patients with primary breast cancer (PBC) and SPBC, then Kaplan-Meier (KM) survival analysis was used to compare their overall survival and breast cancer-specific survival. Finally, a predictive model was constructed to estimate the 3- and 5-year survival rates of SPBC patients. We found that the SIR of individuals with SPBC was significantly higher in cancer survivors than in the general population (SIR=1.16, 95% CI=1.15-1.17, P<0.05). SPBC patients with first primary lung/bronchus cancer had a much higher SMR (SMR=1.71, 95% CI=1.58-1.85, P<0.05) compared with survivors of other malignancies. Individuals with SPBC had a larger proportion of the HR-/HER2- subtype than those with PBC. Particularly among survivors of estrogen-dependent ovarian and breast cancer, the proportion of the HR-/HER2- subtype of SPBC considerably rose. After propensity score matching, we discovered that SPBC patients' overall survival remained poorer than that of PBC patients (HR=1.43, 95% CI=1.39-1.47, P<0.001). However, the prognosis of SPBC in first primary thyroid cancer survivors was better than PBC patients (HR=0.64, 95% CI=0.55-0.75, P<0.001). Also, an extreme gradient boosting (XGBoost) model was developed to evaluate the 3-year (AUC=0.817) and 5-year survival (AUC=0.825) of SPBC patients. Our data demonstrated the distinct biological performance of SPBC with various first primary cancers. Furthermore, our findings revealed an indispensable role of first primary cancer (FPC) in the development of SPBC and provided an additional theoretical basis for the clinical follow-up and identification of SPBC.

摘要

第二原发性乳腺癌(SPBC)可能与其他癌症相关,这可能会影响其发病率、预后和治疗方法。然而,很少有研究描述这种关系并分析SPBC的亚型。我们的研究旨在调查SPBC的发生情况和预后。我们分析了SPBC患者的模式、临床特征、标准化发病率比(SIR)和标准化死亡率比(SMR)。进一步采用倾向得分匹配(PSM)方法来平衡原发性乳腺癌(PBC)患者和SPBC患者之间临床特征的差异,然后使用Kaplan-Meier(KM)生存分析来比较他们的总生存期和乳腺癌特异性生存期。最后,构建了一个预测模型来估计SPBC患者的3年和5年生存率。我们发现,癌症幸存者中SPBC个体的SIR显著高于一般人群(SIR = 1.16,95%CI = 1.15 - 1.17,P < 0.05)。与其他恶性肿瘤幸存者相比,第一原发性为肺/支气管癌的SPBC患者的SMR要高得多(SMR = 1.71,95%CI = 1.58 - 1.85,P < 0.05)。SPBC个体中HR-/HER2-亚型的比例高于PBC个体。特别是在雌激素依赖型卵巢癌和乳腺癌的幸存者中,SPBC的HR-/HER2-亚型比例大幅上升。经过倾向得分匹配后,我们发现SPBC患者的总生存期仍然比PBC患者差(HR = 1.43,95%CI = 1.39 - 1.47,P < 0.001)。然而,第一原发性为甲状腺癌的幸存者中SPBC的预后比PBC患者好(HR = 0.64,95%CI = 0.55 - 0.75,P < 0.001)。此外,还开发了一种极端梯度提升(XGBoost)模型来评估SPBC患者的3年(AUC = 0.817)和5年生存率(AUC = 0.825)。我们的数据证明了不同第一原发性癌症的SPBC具有独特的生物学特性。此外,我们的研究结果揭示了第一原发性癌症(FPC)在SPBC发生发展中的不可或缺的作用,并为SPBC的临床随访和识别提供了额外的理论依据。