Why doctors need to check breast cancer for mutations

A new breast cancer study shows that tumors can mutate in response to treatments that reduce estrogen levels in the body.

While estrogen-lowering drugs are often effective in reducing tumor size, sometimes the tumors become resistant to these therapies and continue to grow and spread.

“The tumors are spawning new sub-clones that subsequently can survive and grow despite therapy.”

The findings suggest that analyzing a single sample of the breast tumor is insufficient for understanding how a patient should best be treated.

“Estrogen-receptor-positive breast cancers are not created equal,” says co-senior author Elaine R. Mardis, a professor of medicine at Washington University School of Medicine in St. Louis and co-senior author of the study in Nature Communications. “Each woman’s disease can have a range of responses to estrogen-lowering drugs.

“This study demonstrates that reducing estrogen levels in estrogen-receptor-positive breast cancer changes the genetics of the tumor, and these changes may be important for deciding how best to treat a patient after the surgical removal of the tumor.”

The researchers analyzed 22 breast tumors before and after four months of treatment with aromatase inhibitors, drugs commonly given to post-menopausal women with breast cancer.

After menopause, the ovaries no longer produce estrogen, and aromatase inhibitors block the body’s remaining production of the hormone. Successful treatment reduces the size of a tumor before it is surgically removed, and the therapy has been shown to improve long-term outcomes for patients.

“In the post-treatment tumor samples, we found many new mutations or enrichment of mutations already seen in the pre-treatment samples,” says co-senior author Matthew J. Ellis, a professor at Baylor College of Medicine. “This means that under the environmental stress of the treatment, the tumors are spawning new sub-clones that subsequently can survive and grow despite therapy, and that is why we are having difficulty in the end treating estrogen-receptor-positive breast cancer. We found this result in the majority of tumors we studied.”

Check the tumor again and again

The majority of the tumors analyzed—18 of 22—had complex genetic landscapes and dynamic responses to hormone deprivation therapy, meaning that many of the gene mutations present in the tumors before and after treatment were different.

For example, in one patient, certain mutations present in 92 percent of the initial tumor were totally absent in samples taken after four months of aromatase inhibitor therapy.

“The broad implication is that patients who undergo aromatase inhibitor therapy for several months prior to surgery should be re-evaluated immediately before their operation to determine how the tumor may have changed in response to the therapy,” Mardis says. “Such information can help indicate whether further estrogen suppression treatment is likely to contribute to a lower risk of relapse.”

Breast cancer tumors aren’t the same throughout

The researchers analyzed only one tumor that had a complex but stable genetic landscape, meaning it was largely unchanged by aromatase inhibitor treatment. Another tumor had very simple and stable genetics before and after treatment. And two patient samples indicated evidence of two independent but intertwining tumors with separate genetic origins.

“It was surprising to find two ‘collision’ tumors in a group of only 22 patients,” says first author Christopher A. Miller, instructor in medicine at Washington University. “This hints that collision tumors may be more common than we have previously realized. In these cases, estrogen suppression was the right approach for one of the tumors, but not the other, which limited the effectiveness of the treatment.”

“Our study also demonstrated that even single tumors can evolve in response to therapy very quickly,” Miller adds. “This suggests that sequencing a tumor at diagnosis is not enough. Periodically scanning a tumor’s genome to understand how it is changing may ultimately help us evolve our treatment strategies to match.”

Source: Washington University in St. Louis

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Source: Futurity