Literature DB >> 10765118

A retrospective study of first indicators of breast cancer recurrence.

X Pivot1, L Asmar, G N Hortobagyi, R Theriault, F Pastorini, A Buzdar.   

Abstract

This study was performed to evaluate the first indicators of breast cancer recurrence in 1,145 patients treated at the University of Texas MD Anderson Cancer Center, between July 1973 and December 1980. Twenty patients were excluded due to incomplete data, resulting in a total number of 1,125 evaluable patients. Data collection included the first metastatic site and its means of detection (symptoms, self-examination, physical examination performed by a physician, and the results of blood and radiological tests). Whether recurrence was found at the scheduled follow-up visits or between the scheduled visits was also analyzed. Symptoms were the primary indicator of relapse for 648 cases (57.6% of the study population). An additional 361 cases (32.1% of the total group) were detected by self-examination or by physician-performed physical examination. Other investigations, e.g. bone scans, liver scans, chest X-rays, and blood tests, revealed recurrent disease in only 116 patients (10. 3% of the population). Among the 1,125 patients, 254 recurrences (22. 6% of the study population) were detected at the scheduled follow-up surveillance and, among these, 64.6% were found by history or physical examination. The distribution of metastatic sites and first indicators of metastases remained constant over time. The scheduled follow-up visits detected a mean of 25.9% of relapses during the first 36 months, while after 36 months only 16.3% of relapses were detected by systematic monitoring. There were no statistically significant differences in disease-free overall survival rates between symptomatic and asymptomatic patients at the time the first recurrence was detected. Moreover, the disease-free and overall survival rates appeared to be the same in symptomatic and asymptomatic patients, whether or not the recurrence was detected by a scheduled follow-up examination. Two conclusions emerged from the present study. Extensive, routine laboratory investigations are not justifiable following curative treatment of primary breast cancer, and it seems reasonable and cost-effective to reduce follow-up surveillance to careful history and physical examination only. The actual method of surveillance does not significantly affect the time interval to metastasis detection and seems inefficient. Clearly, more sensitive methods are needed for earlier detection of recurrent metastatic breast cancer. In addition, early detection of metastases would be even more valuable if more effective treatment modalities of recurrent or metastatic breast cancer were available. Copyright 2000 S. Karger AG, Basel

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Mesh:

Year:  2000        PMID: 10765118     DOI: 10.1159/000012098

Source DB:  PubMed          Journal:  Oncology        ISSN: 0030-2414            Impact factor:   2.935


  16 in total

1.  Resection of liver metastases from breast cancer: a multicentre analysis.

Authors:  X He; Q Zhang; Y Feng; Z Li; Q Pan; Y Zhao; W Zhu; N Zhang; J Zhou; L Wang; M Wang; Z Liu; H Zhu; Z Shao; L Wang
Journal:  Clin Transl Oncol       Date:  2019-06-22       Impact factor: 3.405

2.  First indicators of relapse in breast cancer: evaluation of the follow-up program at our hospital.

Authors:  Yoshinari Ogawa; Katsumi Ikeda; Tetsuo Izumi; Shiho Okuma; Makoto Ichiki; Tetsuro Ikeya; Jyunya Morimoto; Yukio Nishiguchi; Teruyuki Ikehara
Journal:  Int J Clin Oncol       Date:  2012-03-14       Impact factor: 3.402

3.  The development and initial validation of the Breast Cancer Recurrence instrument (BreastCaRe)-a patient-reported outcome measure for detecting symptoms of recurrence after breast cancer.

Authors:  Beverley Lim Høeg; Lena Saltbæk; Karl Bang Christensen; Randi Valbjørn Karlsen; Christoffer Johansen; Susanne Oksbjerg Dalton; Antonia Bennett; Pernille Envold Bidstrup
Journal:  Qual Life Res       Date:  2021-04-16       Impact factor: 4.147

4.  Early detection of recurrent breast cancer using metabolite profiling.

Authors:  Vincent M Asiago; Leiddy Z Alvarado; Narasimhamurthy Shanaiah; G A Nagana Gowda; Kwadwo Owusu-Sarfo; Robert A Ballas; Daniel Raftery
Journal:  Cancer Res       Date:  2010-10-19       Impact factor: 12.701

5.  Use of imaging and biomarker tests for posttreatment care of early-stage breast cancer survivors.

Authors:  Erin E Hahn; Ron D Hays; Katherine L Kahn; Mark S Litwin; Patricia A Ganz
Journal:  Cancer       Date:  2013-09-16       Impact factor: 6.860

6.  ANGPTL2 increases bone metastasis of breast cancer cells through enhancing CXCR4 signaling.

Authors:  Tetsuro Masuda; Motoyoshi Endo; Yutaka Yamamoto; Haruki Odagiri; Tsuyoshi Kadomatsu; Takayuki Nakamura; Hironori Tanoue; Hitoshi Ito; Masaki Yugami; Keishi Miyata; Jun Morinaga; Haruki Horiguchi; Ikuyo Motokawa; Kazutoyo Terada; Masaki Suimye Morioka; Ichiro Manabe; Hirotaka Iwase; Hiroshi Mizuta; Yuichi Oike
Journal:  Sci Rep       Date:  2015-03-16       Impact factor: 4.379

Review 7.  Comparative diagnostic accuracy of 18F-FDG PET/CT for breast cancer recurrence.

Authors:  Roberta Piva; Flavia Ticconi; Valentina Ceriani; Federica Scalorbi; Francesco Fiz; Selene Capitanio; Matteo Bauckneht; Giuseppe Cittadini; Gianmario Sambuceti; Silvia Morbelli
Journal:  Breast Cancer (Dove Med Press)       Date:  2017-07-04

8.  Risk of metastasis among rib abnormalities on bone scans in breast cancer patients.

Authors:  Qin Li; Zhiqiang Chen; Yansheng Zhao; Xiuqing Li; Hong Pan; Tiansong Xia; Lin Chen; Zhaoqiang Xu; Wenbin Zhou; Xiaoan Liu
Journal:  Sci Rep       Date:  2015-05-05       Impact factor: 4.379

9.  Patterns of diagnostic imaging and associated radiation exposure among long-term survivors of young adult cancer: a population-based cohort study.

Authors:  Corinne Daly; David R Urbach; Thérèse A Stukel; Paul C Nathan; Wayne Deitel; Lawrence F Paszat; Andrew S Wilton; Nancy N Baxter
Journal:  BMC Cancer       Date:  2015-09-03       Impact factor: 4.430

10.  Extramammary findings on breast MRI: prevalence and imaging characteristics favoring malignancy detection: a retrospective analysis.

Authors:  Soung Moon Yang; Sung Hun Kim; Bong Joo Kang; Byung Joo Song
Journal:  World J Surg Oncol       Date:  2016-04-21       Impact factor: 2.754

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