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Saturday 21st September 2019

Killing Cancer

19th July 2011
book_killing cancer This new book urges use of antidepressants to treat and prevent cancer.

“Killing Cancer” by Dr. Julian Lieb reviews the medical literature showing that antidepressants have remarkable anticancer properties.

More than 120 clinical, laboratory and epidemiological studies support the anticancer properties of antidepressants. Antidepressants kill cancer cells, inhibit their division, protect nonmalignant cells from damage by ionizing radiation and chemotherapy toxicity, and convert multidrug resistant cells to sensitive. Depression significantly increases the risk of cancer, and increases and accelerates its mortality. Antidepressants are capable of arresting cancer even in advanced stages, and occasionally eradicating it. Studies show that antidepressants are potentially effective for many malignancies, including some notoriously resistant to chemotherapy and radiation. Antidepressants can alleviate pain, alone or in potentiating opiates, as well as many side effects of chemotherapy.

Lieb points out that the use of relatively inexpensive antidepressants could make cancer treatment available to low-income and disadvantaged segments of the population. By slashing the cost of cancer care, antidepressants could energize health reform, stabilize Medicare, and help to reduce the deficit.

In making the case for antidepressants, Lieb discusses prostaglandins, molecules that regulate the physiology of every cell in the body. When produced above a critical threshold, prostaglandins cause many disorders, including depression and cancer. By inhibiting the production of prostaglandins, antidepressants can neutralize or defeat cancer. Cancer is not a hundred different diseases, as touted, but one disease with innumerable variations.

Every patient, physician and citizen has the human and ethical right to evaluate a new treatment approach for themselves, without interference by any third party. They may exercise that right by accessing Pubmed or other biomedical database.

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