About Careers Internship MedBlogs Contact us
Web-based Calculator to Predict If Breast Cancer Will Recur

Web-based Calculator to Predict If Breast Cancer Will Recur

Font : A-A+

  • A web-based calculator has been developed to predict the risk of breast cancer returning to another part of the body, post-hormone therapy for breast cancer
  • There is an increased risk of developing a late metastasis or cancer spreading in over 50 percent of women who have finished hormonal treatment for their breast cancer
  • The new tool can help oncologists and patients predict women who are at highest risk and decide whether extending hormone therapy beyond five years is worthwhile and appropriate

A prognostic online tool that can better predict the long-term risk of breast cancer returning in other areas of the body has been devised by a research team from London. The study has been published online in the Journal of Clinical Oncology.

Western countries have seen a significant increase in the rate of invasive breast cancer over the last three decades - invasive refers to cancer that has spread outside the breast to other parts of the body.


Studies have also shown that approximately 85 percent of patients were diagnosed with estrogen-receptor-positive or ER+ cancer, which means that the cancer cells receive signals from estrogen just like normal breast cells and can hence grow in response to the hormone.

Why was the New Tool Developed?

Current therapy for breast cancer includes standard treatment (surgery, chemotherapy, and/or radiation therapy) followed by five years of hormone therapy for almost all the patients, to lower the risk of cancer returning.

Oncologists usually have to decide whether the endocrine or hormone therapy has to be continued or stopped beyond five years since the therapy can have significant side effects for some patients, including weakness of bone tissue, and worsening of menopausal symptoms.

Hormone-sensitive breast cancer is also one of the few cancers where the recurrence at a later date is common; hence, predicting who is at high risk is particularly important.
  • The new tool was devised to address this problem - to decide which patients are at high enough risk of their cancer returning after receiving the hormone therapy, and so could benefit from the continuation of treatment.
  • The tool has another benefit of predicting which patients are at low risk of recurrence, and so can avoid any further therapy along with the potential adverse side effects.

Study - Clinical Treatment Score Post-5-years

Clinical Treatment Score Post-5-years (CTS5) was developed after reviewing data from two previously published studies which together provided information on 11,446 postmenopausal women with ER-positive breast cancer who had received five years of hormone therapy (tamoxifen, anastrozole, or letrozole).

Professor Mitch Dowsett, Head of The Royal Marsden Ralph Lauren Centre for Breast Cancer Research and Professor of Biochemical Endocrinology at The Institute of Cancer Research (ICR), and Professor Jack Cuzick and Dr. Ivana Sestak from Queen Mary University of London were instrumental in the development of the web-based tool.

They obtained the data set from one of the studies and measured the number of women who developed metastasis or cancer that had spread, five to 10 years after they finished endocrine therapy.

They combined this information with details about the tumor that had been measured at the time of diagnosis and produced a risk equation known as CTS5.

The validity of CTS5 was determined by testing it against the data from the second study. CTS5 could -
  • Accurately separate women into groups of low, intermediate, or high risk of developing breast cancer again at a later date, after five years of hormone therapy.
  • Identify that 42 percent of the women had a sufficiently low risk of recurring cancer so that extending hormone therapy would have been of very little value.
Co-lead researcher Professor Mitch Dowsett, Head of The Royal Marsden Ralph Lauren Centre for Breast Cancer Research and Professor of Biochemical Endocrinology at The Institute of Cancer Research, London, said: "What we have developed could improve clinical practice, benefiting breast cancer patients by avoiding potentially unnecessary extended treatment. Clinicians require expertise and the best tools to help them make crucial decision on treatment for patients, decisions that can make a difference to patient's quality of life."

The researchers from Queen Mary University of London went ahead with the development of the web-based CTS5 calculator that would benefit clinicians.

Once the patients' details like age, tumor size and tumor grade are inputted, the calculator gives an estimated 5-10 year risk of cancer returning in another part of the woman's body, along with an estimated benefit from extending their hormone therapy.

Co-lead researcher Professor Jack Cuzick from Queen Mary University of London said: "While our ability to predict hormone sensitive breast cancer is highly likely to improve in the future, we're providing a simple tool which is available now, and is easily used and well tested. Our tool provides a very simple way of obtaining the risk of a late metastasis for each woman individually. It is very important to identify these women in the clinic and the calculator provides help in the decision-making process."

However, the data collected and used were from studies that began over 20 years ago on patients with hormone receptor-positive tumors. These studies did not use the drug trastuzumab for cancer management; hence, clinicians should be cautious when using CTS5 on the specific patient population that uses trastuzumab.

Source: Medindia

Citations   close

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Suchitra Chari. (2018, August 27). Web-based Calculator to Predict If Breast Cancer Will Recur. Medindia. Retrieved on May 19, 2022 from https://www.medindia.net/news/healthinfocus/web-based-calculator-to-predict-if-breast-cancer-will-recur-182070-1.htm.

  • MLA

    Suchitra Chari. "Web-based Calculator to Predict If Breast Cancer Will Recur". Medindia. May 19, 2022. <https://www.medindia.net/news/healthinfocus/web-based-calculator-to-predict-if-breast-cancer-will-recur-182070-1.htm>.

  • Chicago

    Suchitra Chari. "Web-based Calculator to Predict If Breast Cancer Will Recur". Medindia. https://www.medindia.net/news/healthinfocus/web-based-calculator-to-predict-if-breast-cancer-will-recur-182070-1.htm. (accessed May 19, 2022).

  • Harvard

    Suchitra Chari. 2021. Web-based Calculator to Predict If Breast Cancer Will Recur. Medindia, viewed May 19, 2022, https://www.medindia.net/news/healthinfocus/web-based-calculator-to-predict-if-breast-cancer-will-recur-182070-1.htm.


News A-Z
What's New on Medindia
Black Water: Benefits and Uses
World Hypertension Day 2022 - Measure Blood Pressure Accurately, Control It, Live Longer!
Drinking This Popular Beverage May Drop Dementia Risk
View all
Recommended Reading
News Archive
News Category

Medindia Newsletters Subscribe to our Free Newsletters!
Terms & Conditions and Privacy Policy.

More News on:
Women and Cancer Breast Biopsy Pagets disease of the breast Mastitis Cancer and Homeopathy Breast Cancer Facts Cancer Facts Cancer Tattoos A Body Art Breasts - Structures and Types 

Most Popular on Medindia

Accident and Trauma Care Nutam (400mg) (Piracetam) Loram (2 mg) (Lorazepam) Sinopril (2mg) (Lacidipine) Turmeric Powder - Health Benefits, Uses & Side Effects Drug - Food Interactions Pregnancy Confirmation Calculator Find a Hospital Vent Forte (Theophylline) Drug Side Effects Calculator

Disclaimer - All information and content on this site are for information and educational purposes only. The information should not be used for either diagnosis or treatment or both for any health related problem or disease. Always seek the advice of a qualified physician for medical diagnosis and treatment. Full Disclaimer

© All Rights Reserved 1997 - 2022

This site uses cookies to deliver our services. By using our site, you acknowledge that you have read and understand our Cookie Policy, Privacy Policy, and our Terms of Use