Suppr超能文献

1995年詹姆斯·扬·辛普森爵士纪念讲座。乳腺癌预防:病理学家的视角。

Sir James Young Simpson Memorial Lecture 1995. Breast cancer prevention: a pathologist's approach.

作者信息

Simpson H W

机构信息

University Department of Surgery, Royal Infirmary, Glasgow, UK.

出版信息

J R Coll Surg Edinb. 1996 Dec;41(6):359-70.

PMID:8997020
Abstract

Few would argue that there is not substantial room for an improvement in breast cancer practice. It has to be borne in mind that the United Kingdom experience in the 1980s was a 50:50 survival to death ratio in the 10 years after diagnosis. Preliminary analysis of the effects of mammographic screening suggests that there will be a real but small fall in overall mortality. Existing practice involves three stages: first, the 'earliest' detection of a lump by palpation or imaging; second, diagnosis by histopathology; and third, treatment by surgery, etc. Evidence is given that the limited success of existing practice could be due, in part, to a failure to recognize the precancerous state of the mammary tissue as a whole in cancer cases; and a failure to exploit this state for earlier diagnosis. In support of these contentions, comparative data from the microscopy of cancer-associated breasts and age-matched normal breast are given. There is a gross excess of focal hyperplasia in premenopausal cancer-associated breast tissue. Further, epidemiological data are consistent in that the tissue is subject to a sixfold increase in the risk of further primary carcinogenesis. A method is presented for detecting the cancer-associated breast. It exploits the breast menstrual cycle, a subject which is reviewed in extenso. Physiologically the premenopausal mammary tissue goes into a monthly pregnancy rehearsal with glandular proliferation and increased blood supply. The latter effects a luteal heat cycle, which can be measured readily by an electronic thermometric bra as increased breast surface temperature (1 degree C). Data are presented in terms of 50 normal breasts and 41 cancer-associated breasts studied daily (with progesterone assays) for one menstrual cycle. The cancer-associated breasts exhibit an absent or altered response to endogenous progesterone during the luteal phase of the menstrual cycle. The abnormality in the luteal heat cycle is maximal during the few days just after ovulation. Our data indicate that a 1-h clinical test at this time achieves a sensitivity of 71% and a specificity of 80% for "clinically normal' yet cancer-associated breast tissue. Such patients would be candidates for increased surveillance and chemoprevention.

摘要

很少有人会认为乳腺癌的治疗水平没有大幅提升的空间。必须牢记的是,英国20世纪80年代的情况是,确诊后10年的生存率与死亡率之比为50:50。对乳腺钼靶筛查效果的初步分析表明,总体死亡率将会有实际但微小的下降。现有的治疗流程包括三个阶段:首先,通过触诊或影像学手段“最早”发现肿块;其次,通过组织病理学进行诊断;第三,通过手术等进行治疗。有证据表明,现有治疗手段取得的有限成功可能部分归因于在癌症病例中未能将整个乳腺组织的癌前状态视为一个整体;以及未能利用这种状态进行早期诊断。为支持这些论点,给出了来自癌症相关乳房和年龄匹配的正常乳房显微镜检查的对比数据。绝经前癌症相关乳房组织中的局灶性增生明显过多。此外,流行病学数据一致表明,该组织发生进一步原发性致癌的风险增加了六倍。本文提出了一种检测癌症相关乳房的方法。它利用了乳房月经周期,对此主题进行了详尽的阐述。从生理角度来看,绝经前乳腺组织每月都会经历一次类似怀孕的过程,伴有腺体增生和血液供应增加。后者引发黄体期热循环,通过电子测温胸罩可以很容易地测量到,表现为乳房表面温度升高(1摄氏度)。本文给出了对50个正常乳房和41个癌症相关乳房进行每日(同时进行孕酮检测)一个月经周期研究的数据。癌症相关乳房在月经周期的黄体期对内源性孕酮的反应缺失或改变。黄体期热循环异常在排卵后几天内最为明显。我们的数据表明,此时进行1小时的临床检测,对于“临床正常”但与癌症相关的乳房组织,灵敏度达到71%,特异性达到80%。这类患者将成为加强监测和化学预防的对象。

相似文献

2
A non-invasive test for the pre-cancerous breast.一种针对癌前乳腺病变的非侵入性检测方法。
Eur J Cancer. 1995 Oct;31A(11):1768-72. doi: 10.1016/0959-8049(95)00379-w.
3
Progesterone resistance in women who have had breast cancer.患过乳腺癌的女性中的孕酮抵抗
Br J Obstet Gynaecol. 1998 Mar;105(3):345-51. doi: 10.1111/j.1471-0528.1998.tb10098.x.
4
Differences in measured mammographic density in the menstrual cycle.月经周期中乳腺X线密度测量值的差异。
Cancer Epidemiol Biomarkers Prev. 2009 Jul;18(7):1993-9. doi: 10.1158/1055-9965.EPI-09-0074. Epub 2009 Jun 30.
9
The luteal heat cycle of the breast in disease.
Breast Cancer Res Treat. 1996;37(2):169-78. doi: 10.1007/BF01806498.
10
Timing of surgery with regard to the menstrual cycle in women with primary breast cancer.
Surg Clin North Am. 1999 Oct;79(5):1047-59. doi: 10.1016/s0039-6109(05)70060-8.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验