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Posted Thursday, September 25, 2008 3:38 PM

Will Chemo Work for You?

Sharon Begley

There’s a lot of research these days aimed at identifying characteristics of cancer cells that make them susceptible to particular treatments, as breast-cancer cells with extra expression of the her2 protein are treatable with Herceptin. Equally important, it seems to me, is identifying cancers that will not respond to standard chemo, which can be hugely debilitating. It would be a great help to patients if doctors could tell before administering a single dose whether the chemo will help.

 

Now scientists at MIT have shown, in a paper in the online edition of the journal Genes and Development, that 48 specific genes explain a good deal of the variation in whether malignant cells will be killed by chemo.

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The old-line chemo drugs, such as those based on platinum compounds such as oxaliplatin, work by damaging DNA. That prevents malignant cells from multiplying. But the MIT scientists find that a group of 48 genes can predict how susceptible a patient is to a toxic compound called MNNG that, like common chemo agents, kills cells by inducing irreparable DNA damage. Which of the 48 genes someone has produces huge variability in response to DNA-damaging compounds. “A cell line from one person would be killed dramatically, while that from another person was resistant to exposure,” said Rebecca Fry, former MIT research scientist and lead author of the paper who is now at the University of North Carolina School of Public Health. “It wasn’t known that cell lines from different people could have such dramatic differences in responses.”

 

MNNG (N-methyl-N-nitro-N-nitrosoguanidine) causes DNA lesions, leading to cell death. But MNNG can also turn on genes that repair DNA. The net result—cell death or not—seems to reflect the interplay of biochemical pathways controlled by the 48 genes. After measuring the expression of every gene in each cell line, the scientists could predict from the expression of just 48 whether MNNG would kill cells, with 94 percent accuracy. Now the push is on to predict individuals’ responses to cisplatin, a common chemotherapy agent, and temozolomide, used to treat brain cancer. It’s exactly the kind of advance that critics of the war on cancer—with its focus on elucidating basic biology rather than discoveries useful to patients—are calling for.
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Posted By: Gregory D. Pawelski (October 7, 2008 at 1:36 AM)

Predicting Individuals' Responses To Chemo

There is a headlong rush to develop tests to identify molecular predisposing mechanisms, whose presence still does not guarantee that a drug will be effective for an individual patient. Nor can they, for any patient or even large group of patients, discriminate the potential for clinical activity among different agents of the same class.

The challenge is to identify which patients targeted treatment will be most effective. Tumors can become resistant to a targeted treatment, or the drug no longer works, even if it has previously been effective in shrinking a tumor. Drugs are combined with existing ones to target the tumor more effectively. Most cancers cannot be effectively treated with targeted drugs alone.

Paraffin embedded, fixed, minced, or frozen tissue can change over time. One gets more accurate information when using intact RNA isolated from "fresh" living tissue than from using degraded RNA, which is present in paraffin-fixed tissue.

Established cell line is not reflective of the behavior of fresh tumor cells in primary culture in the lab, much less in the patient. You get different results when you test passaged cells compared to primary, fresh tumors. Molecular testing methods detect the presence or absence of selected gene mutations which theoretically correlate with single agent drug activity. Cells are never exposed to anti-cancer agents.

What is needed is to measure the net effect of all processes within the cancer, acting with and against each other in real time, and test living cells actually exposed to drugs and drug combinations of interest. The key to understanding the genome is understanding how cells work. How is the cell being killed regardless of the mechanism?

Cell culture testing methods assess the net effect of all inter-cellular and intra-cellular processes occurring in real time when cells are exposed to anti-cancer agents. Tests are performed using intact, living cancer cells plated in 3D microclusters. It allows for testing of different drugs within the same class and drug combinations to detect drug synergy and drug antagonism.

The core understanding is the cell, composed of hundreds of complex molecules that regulate the pathways necessary for vital cellular functions. If a targeted drug could perturb any of these pathways, it is important to examine the effects of drug combinations within the context of the cell.

Both genomics and proteomics can identify potential therapeutic targets, but these targets require the determination of cellular endpoints. You still need to measure the net effect of all processes, not just the individual molecular targets.

Literature Citation:

Eur J Clin Invest, Volume 37(suppl. 1):60, April 2007

BMJ 2007;334(suppl 1):s18 (6 January), doi:10.1136/bmj.39034.719942.94