A hypothetical method for controlling highly glycolytic cancers and metastases

Metabolomic Biomarkers in Blood Samples Identify Cancers in a Mixed Population of Patients with Nonspecific Symptoms

PURPOSE

Early diagnosis of cancer is critical for improving patient outcomes, but cancers may be hard to diagnose if patients present with nonspecific signs and symptoms. We have previously shown that nuclear magnetic resonance (NMR) metabolomics analysis can detect cancer in animal models and distinguish between differing metastatic disease burdens. Here, we hypothesized that biomarkers within the blood metabolome could identify cancers within a mixed population of patients referred from primary care with nonspecific symptoms, the so-called "low-risk, but not no-risk" patient group, as well as distinguishing between those with and without metastatic disease.

EXPERIMENTAL DESIGN

Patients (n = 304 comprising modeling, n = 192, and test, n = 92) were recruited from 2017 to 2018 from the Oxfordshire Suspected CANcer (SCAN) pathway, a multidisciplinary diagnostic center (MDC) referral pathway for patients with nonspecific signs and symptoms. Blood was collected and analyzed by NMR metabolomics. Orthogonal partial least squares discriminatory analysis (OPLS-DA) models separated patients, based upon diagnoses received from the MDC assessment, within 62 days of initial appointment.

RESULTS

Area under the ROC curve for identifying patients with solid tumors in the independent test set was 0.83 [95% confidence interval (CI): 0.72-0.95]. Maximum sensitivity and specificity were 94% (95% CI: 73-99) and 82% (95% CI: 75-87), respectively. We could also identify patients with metastatic disease in the cohort of patients with cancer with sensitivity and specificity of 94% (95% CI: 72-99) and 88% (95% CI: 53-98), respectively.

CONCLUSIONS

For a mixed group of patients referred from primary care with nonspecific signs and symptoms, NMR-based metabolomics can assist their diagnosis, and may differentiate both those with malignancies and those with and without metastatic disease. See related commentary by Van Tine and Lyssiotis, p. 1477.

In vitro quantification: Long-term effect of glucose deprivation on various cancer cell lines

OBJECTIVE

Although metabolic treatment of highly glycolytic cancers and metastases is becoming an important research field, the effects of such treatments are not fully quantified yet. In this article we attempt to quantify the effect of long-term glucose deprivation (similar to ketogenic diets) on cancer cells using in vitro tests.

METHODS

Two tumorigenic cell lines were used, namely a metastatic breast and a cervical cancer cell line. The non-tumorigenic control cell line was an immortalized breast cell line. All the cell lines were stabilized at a typical average human blood glucose level of 6 mmol/L. The cell lines were then exposed to the therapeutic blood glucose level of 3 mmol/L for 90 d.

RESULTS

The tests indicated that glucose deprivation restricted the different cancer cell lines' growth more than that of non-tumorigenic cells. The different cell lines were also differentially affected, which suggests that long-term glucose deprivation will not be equally effective for different types of cancer. The highly glycolytic breast cancer cell line was most adversely affected, with cell growth decreasing to 30% after 26 d. Cell growth was stable at this level for up to 22 d. Furthermore, all of the other cancer cell lines were similarly affected.

CONCLUSIONS

This in vitro data could help to direct future human in vivo tests to find the most therapeutic time (cancer cells at their most vulnerable) for additional short-term adjuvant therapies. Partial recovery of proliferation occurred after 90 d. Therefore, as expected, the results also indicated that without an adjuvant treatment, full extinction cannot be reached with the proposed long-term metabolic treatment. The need for more clinical data on long-term glucose deprivation treatments for cancer is well described in the literature. This paper attempts to add to the available pool of knowledge.

The emerging role of ketogenic diets in cancer treatment

PURPOSE OF REVIEW

Altered glucose metabolism in cancer cells is an almost ubiquitous observation, yet hardly exploited therapeutically. However, ketogenic diets have gained growing attention in recent years as a nontoxic broad-spectrum approach to target this major metabolic difference between normal and cancer cells. Although much research still needs to be done, new knowledge has been gained about the optimal utilization of ketogenic diets for cancer treatment that this review aims to summarize.

RECENT FINDINGS

Although most preclinical studies indicate a therapeutic potential for ketogenic diets in cancer treatment, it is now becoming clear that not all tumors might respond positively. Early clinical trials have investigated ketogenic diets as a monotherapy and - while showing the safety of the approach even in advanced cancer patients - largely failed to prove survival prolonging effects. However, it gradually became clear that the greatest potential for ketogenic diets is as adjuvant treatments combined with pro-oxidative or targeted therapies initiated in early stages of the disease. Beneficial effects on body composition and quality of life have also been found.

SUMMARY

Ketogenic diets against cancer are worth further exploration, both in the laboratory and clinically. Patients wishing to undertake a ketogenic diet during therapy should receive dietary counselling to avoid common mistakes and optimize compliance. Future research should focus more on important clinical endpoints.