Therapeutically targeting metabolic vulnerabilities in breast cancer

Therapeutically targeting metabolic vulnerabilities in breast cancer

Therapeutically targeting metabolic vulnerabilities in breast cancerCancer cells commonly exhibit alterations in carbon metabolism, namely of glucose, fatty acids, and amino acids. While the benefits of such alterations to cancer cells remain under study, it is generally thought that cancer cells do not fully metabolize glucose to provide building blocks for other anabolic pathways (“the Warburg effect” of aerobic glycolysis). We found that estrogen receptor alpha (ER)-positive breast cancer cells increase mitochondrial respiration when confronted with the stress of anti-estrogens that block ER transcriptional activity. Mitochondrial alterations have been observed in other cancer types under treatment with anti-cancer drugs, suggesting that this may be a widespread mechanism that promotes drug resistance. Our ongoing studies are testing the therapeutic tractability of inhibiting mitochondrial oxidative phosphorylation to kill ER+ breast cancer cells and prevent disease recurrence.

Mitochondria are a major site of fatty acid oxidation, the process through which fatty acids are broken down to yield substrates that feed the TCA cycle and, ultimately, provide metabolites that feed mitochondrial respiration. A high-fat diet promotes anti-estrogen resistance in ER+ breast cancer in mice. We are currently testing the therapeutic potential of inhibiting fatty acid uptake and synthesis by ER+ breast cancer cells.

Developing a precision medicine basis for estrogen therapy for breast cancer

Developing a precision medicine basis for estrogen therapy for breast cancer

Developing a precision medicine basis for estrogen therapy for breast cancerFollowing recurrence of estrogen receptor alpha (ER)-positive breast cancer, advanced/metastatic disease is managed with further anti-estrogen therapies, targeted therapies, and DNA-damaging chemotherapies. Nearly all metastatic breast cancers eventually become completely refractory to these therapies. Prior to the approval of tamoxifen, estrogens were frequently used for the treatment of breast cancer. This may seem counterintuitive since we now rely on anti-estrogens for disease management, but response rates to estrogens are similar to those of anti-estrogens in the setting of advanced disease. Approximately 1/3 of anti-estrogen-resistant breast cancers respond to estrogen therapy, translating into ~100,000 new patients each year who could benefit. Similarly, some cancers respond to withdrawal of anti-estrogen therapy, which may be caused by ER transcriptional reactivation. Breast tumor responses to estrogen therapies and anti-estrogen withdrawal have been observed for >70 years, but the lack of A) understanding of the therapeutic mechanism(s), and B) criteria to identify patients likely to benefit have hindered clinical use.

Developing a precision medicine 2

Our studies are providing insight into the mechanism(s) underlying sensitivity of anti-estrogen-resistant breast cancers to estrogen therapy, which will significantly and durably impact the understanding and clinical management of ER+ breast cancer. Identifying molecular markers that predict benefit from estrogen therapy, and the optimal duration of therapy required to maximize anti-cancer effects, will be critical to legitimize this inexpensive, widely accessible, relatively safe and tolerable treatment option, and to provide a precision medicine basis to limit its use to patients with cancers likely to respond. Understanding this mechanism will also reveal candidate drug targets to enhance the anti-cancer effects of ER reactivation.

Delineating cellular adaptations to dormancy in breast cancer

Delineating cellular adaptations to dormancy in breast cancer

Patients with a primary tumor (i.e., untreated and located in the organ of origin) often undergo surgery to remove their tumor. Such patients may then receive “adjuvant” therapy with a drug following surgery to target undetectable “micro-metastatic” dormant cancer cells to prevent tumor recurrence and metastasis. In some cases, this therapy may be given prior to surgery (“neoadjuvant” therapy) to also help shrink the primary tumor, but the main purpose is to target micro-metastatic cancer cells.

In patients with recurrent or metastatic cancer, tumors are detectable by routine imaging methods (MRI, PET/CT). A one-centimeter tumor contains around one billion cells and its own micro-environment, complete with blood vessels, regional areas of hypoxia and pH variations, immune cell infiltrate, inflammation, and structural support cells (i.e., fibroblasts, mesenchymal stem cells).

Schematic of disease timeline

Precision oncology requires delivering the right drug to the right patient at the right time, but “time” is rarely studied in cell culture and animal models before a new drug enters clinical trials. The existing paradigm in clinical drug development is to demonstrate that a new drug is effective against recurrent/metastatic tumors, and then test that drug in the (neo)adjuvant setting to target micro-metastatic cancer cells. This paradigm makes the unfounded assumption that cancer cells within a growing tumor have the same vulnerabilities as dormant cancer cells. As a result, drugs shown to prevent progression of advanced/metastatic solid tumors are sometimes found to be ineffective at preventing cancer recurrence when administered in the (neo)adjuvant setting. The long-term clinical benefit realized from (neo)adjuvant therapies lies in anti-cancer effects on micro-metastatic, dormant cancer cells; the biology underlying such anti-cancer effects is practically unknown, creating a gap for evaluating new drugs.

Understanding how clinically dormant cancer cells vs. established tumors respond to a novel therapy will guide clinical testing in the appropriate disease setting(s), and reveal targets for combination therapies to enhance efficacy. More thorough characterization of drug efficacy in relevant preclinical models will increase the drug success rate in clinical trials, thus decreasing the cost of drug development. Estrogen receptor alpha (ER)-positive breast cancer presents a scenario in which understanding responses of clinically dormant cancer cells vs. established tumors to treatment with novel therapies would have a significant global impact. ER+ breast cancer causes more recurrences and deaths than all other breast cancer subtypes combined. Patients with early-stage (non-metastatic) ER+ breast cancer are treated with adjuvant anti-estrogen therapies that block ER activity and reduce breast cancer recurrence. However, approximately 1/3 of these patients (~300,000 women per year worldwide) ultimately experience local and/or distant recurrence. Despite adjuvant anti-estrogen therapies, micro-metastatic dormant cancer cells persist, suggesting that such cells are growth-suppressed but not eliminated by anti-estrogens; eliminating such clinically dormant cancer cells would prevent recurrence.