The good news is that scientists are still working on improving our odds by finding new ways to expand the scope and accuracy of early testing. And they recently had a promising breakthrough. Cancers are much easier to treat if they can be caught before they spread.
And yet aggressive screening can have downsides: Recent data show that mammograms and prostate cancer screenings have led people to have unnecessary surgeries and other invasive procedures for cancers that were unlikely to harm them.
Such tests can mislead us about our risks.
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- We Just Won a Skirmish in the War on Cancer
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Researchers at Johns Hopkins University studied a group of 10, women between ages 65 and 75 with no history of cancer. In 26 of them, the blood test combined with full-body imaging revealed malignant tumors.
The results, published in Science, were impressive. The 26 women with detected tumors got early treatments for cancer. All are still alive, and most are in remission. On prostate imaging test own, the blood tests generated false positives, but none of those women were mistakenly treated for cancer.
- Sep 05, Philips introduces computational pathology software for automated prostate and ovarian tumor detection at ECP Artificial Intelligence AI -powered TissueMark  software enables molecular research labs to reduce variability in tumor estimation and related costs Amsterdam, The Netherlands and Bilbao, Spain — Royal Philips NYSE: PHG, AEX: PHIA prostate imaging test, a global leader in health technology, today announced the latest release of TissueMarkwhich now supports region of interest detection for the majority of molecular testing and helps research labs improve the accuracy of tumor estimation.
- Aggressive cancer in prostate - Aggressive cancer in prostate.
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Some had unnecessary follow-up tests, such as endoscopies, but none underwent surgeries. Bert Vogelstein, who was one of the authors of the study and has spent years working on early cancer detection, said the test relies on the fact that most cancers have at least one of 16 telltale genetic mutations.
The blood tests can find it.
Story continues The test detected a number of ovarian cancers, several lung cancers, and a uterine cancer. In a previous study, prostatita de fumat and colleagues at Johns Hopkins used a blood test on a set of confirmed pancreatic cancer patients and a control group with no known health problems. The test yielded a positive result for most of the cancer cases, and only one of the people in the control group.
Whether it was a false positive or an undetected cancer remained unknown. This prostate imaging test study was the first of its kind done on subjects believed to be entirely healthy, and in which subjects were told their results so they could seek treatment. The false positives were presumed to be cancer free if no tumors were detected in the imaging, but only time will tell.
The test is not ready for standard practice quite yet, but the promising results will lead to more studies to better understand who would benefit from such tests and how to best interpret the results.
The coronavirus pandemic has brought with it a deluge of bad news, including that people are getting fewer screening tests.
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- In each group of lesions with cribriform architecture benign, premalignant and malignant intraductal or infiltratingthere are situations in which histological classification of the lesion is difficult or impossible on routine stains.
- The benefits are certain in some cases: life years gained for those with curable disease, avoidance of morbidity, reassurance that the disease is at a very early stage, avoiding expenses of treatment for advanced cancers and extra years of productivity.
But we should still celebrate good news where we can find it, and a breakthrough in cancer-detection research is undoubtedly something to cheer. This column does not necessarily reflect the opinion of the editorial board or Bloomberg LP and its owners.
We Just Won a Skirmish in the War on Cancer
Faye Flam is a Bloomberg Opinion columnist. She has a degree in geophysics from the California Institute of Technology.
Copyright © Elsevier Inc.
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