[Expression of SOX10 and GATA3 in breast cancer and their significance].

关贸总协定3 乳腺癌 医学 免疫组织化学 索克斯10 三阴性乳腺癌 癌症 肿瘤科 淋巴结 转移 病理 内科学 癌症研究 生物 转录因子 生物化学 基因
作者
J L Liu,D S Chen,Z Q Cheng,J T Hu
出处
期刊:Chinese Journal of Pathology [Chinese Medical Association]
卷期号:51 (6): 536-541
标识
DOI:10.3760/cma.j.cn112151-20211025-00773
摘要

Objective: To investigate the expression characteristics of SOX10 and GATA3 in breast cancer and the value of their combination. Methods: A total of 360 breast cancer specimens with SOX10 immunohistochemical staining were collected from the Department of Pathology in Shenzhen People's Hospital from 2018 to 2021, including 268 cases with simultaneous SOX10 and GATA3 staining. The expression of SOX10 and GATA3 in primary and metastatic breast cancer was detected, and the correlations between SOX10 and GATA3 and the molecular types and clinicopathological features of breast cancer were compared, and the distribution differences among each group were statistically analyzed. Results: The overall expression of SOX10 and GATA3 in breast cancer were 25.8%(93/360) and 81.7%(219/268), and that in triple negative breast cancer (TNBC) were 83.3%(80/96) and 42.7%(32/75), respectively. SOX10 was strongly associated with TNBC (P<0.001), whereas GATA3 was highly expressed in luminal A, luminal B and HER2 over expression breast cancers (P<0.001). The expression of SOX10 and GATA3 was negatively correlated in TNBC, and the combined expression rates of SOX10 and GATA3 in breast cancer and TNBC could reach 97.8% (262/268) and 94.7%(71/75), respectively. In addition, the expression of SOX10 was closely correlated with high histological grade, high Ki-67 proliferation index and lymph node metastasis, and negatively correlated with AR. The expression of GATA3 was correlated with low histological grade and lymph node metastasis, and positively correlated with AR, and the difference was statistically significant. Conclusions: SOX10 is a sensitive marker of TNBC, while GATA3 is highly expressed in non-triple negative breast cancer. The two complementary, combined application of SOX10-GATA3 can improve the detection rate of breast cancer, especially TNBC. SOX10 is associated with malignant characteristics of the tumor, suggesting that SOX10 can be used as a prognostic marker and potential therapeutic target for breast cancer.目的: 探讨SOX10和GATA3在乳腺癌中的表达特点及其联合应用的价值。 方法: 收集深圳市人民医院病理科2018—2021年行SOX10免疫组织化学染色的乳腺癌标本360例,其中同时行SOX10和GATA3染色的乳腺癌标本268例,分析SOX10和GATA3在原发性及转移性乳腺癌中的表达,并比较二者与乳腺癌分子分型、临床病理特征之间的相关性,统计其在各分组间的分布差异。 结果: SOX10和GATA3在乳腺癌中的总表达率分别为25.8%(93/360)、81.7%(219/268),在三阴型乳腺癌(triple negative breast cancer,TNBC)中的总表达率分别为83.3%(80/96)、42.7%(32/75)。SOX10在TNBC中高表达(P<0.001),而GATA3在luminal A型、luminal B型及HER2过表达型中高表达(P<0.001)。在TNBC中SOX10与GATA3的表达呈负相关,二者联合应用在乳腺癌及TNBC中的表达率可分别高达97.8%(262/268)、94.7%(71/75)。此外,SOX10的表达与高组织学分级、高Ki-67阳性指数及淋巴结转移密切相关,与雄激素受体(AR)呈负相关,GATA3的表达与低组织学分级及淋巴结转移密切相关,与AR呈正相关,差异有统计学意义。 结论: SOX10是TNBC的灵敏标志物,而GATA3在非三阴型乳腺癌中高表达,二者互补,联合应用SOX10及GATA3可提高乳腺癌尤其是TNBC的检出率。此外,SOX10与肿瘤恶性特征相关,提示SOX10可作为乳腺癌预后评估及潜在治疗靶点。.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
英俊的铭应助5999采纳,获得50
刚刚
hhhaaa发布了新的文献求助10
1秒前
所所应助KyleYF采纳,获得10
1秒前
1秒前
博弈完成签到 ,获得积分10
1秒前
1秒前
2秒前
研友_VZG7GZ应助WTQ采纳,获得10
2秒前
蚍蜉渡海完成签到,获得积分10
2秒前
3秒前
3秒前
Arctic完成签到,获得积分10
3秒前
李健应助石榴汁的书采纳,获得10
4秒前
陈happy完成签到 ,获得积分10
4秒前
orixero应助XYN1采纳,获得10
4秒前
柏柏应助默笙采纳,获得10
5秒前
5秒前
12138完成签到,获得积分10
5秒前
7秒前
7秒前
sun发布了新的文献求助10
8秒前
泽泽泽泽完成签到 ,获得积分10
8秒前
liuxinyu发布了新的文献求助10
9秒前
天天快乐应助yyds采纳,获得10
11秒前
11秒前
11秒前
11秒前
爆米花应助Yang采纳,获得30
12秒前
香香发布了新的文献求助10
12秒前
酷波er应助wanglu采纳,获得10
12秒前
hhhaaa完成签到,获得积分10
13秒前
13秒前
地址锤关注了科研通微信公众号
14秒前
spencerleo完成签到,获得积分20
14秒前
深情安青应助学术魔域采纳,获得10
15秒前
15秒前
LS完成签到,获得积分10
15秒前
spencerleo发布了新的文献求助10
16秒前
无无无无无无完成签到 ,获得积分10
16秒前
思源应助lennon962464采纳,获得10
16秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7256108
求助须知:如何正确求助?哪些是违规求助? 8878243
关于积分的说明 18750650
捐赠科研通 6936353
什么是DOI,文献DOI怎么找? 3200710
关于科研通互助平台的介绍 2374970
邀请新用户注册赠送积分活动 2176279