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10<br />

February/March 2004<br />

<strong>Breast</strong> <strong>Cancer</strong> Action<br />

Impressions From San An<strong>to</strong>nio<br />

continued from page 1<br />

disappointing results of its Phase III trials in<br />

metastatic breast cancer patients last summer.<br />

In San An<strong>to</strong>nio, the company presented a<br />

subset analysis that, while not conclusive in<br />

itself, offers a possible direction for new trials.<br />

Patients with ER+ tumors receiving hormonal<br />

treatments while undergoing Thera<strong>to</strong>pe<br />

showed a trend (not a statistically significant<br />

difference) <strong>to</strong>ward better time <strong>to</strong> disease<br />

progression and overall survival [Miles 36].<br />

Determining which patients are most<br />

likely <strong>to</strong> respond can transform a drug failure<br />

in<strong>to</strong> a success. The monoclonal antibody<br />

Herceptin would never have shown a benefit<br />

in breast cancer, Genentech researchers say,<br />

had they not been able <strong>to</strong> develop a test that<br />

predicted Herceptin response.<br />

To date, however, Genentech<br />

has been unable <strong>to</strong> devise such a<br />

test for its new drug Avastin ® ,<br />

which targets VEGF, a gene<br />

responsible for angiogenesis (the<br />

growth of blood vessels that feed<br />

tumors).<br />

Straightforward tests for<br />

gene expression are not always<br />

useful, it seems. Many if not most of the new<br />

agents don’t show enough activity by<br />

themselves, at least not in a general patient<br />

population. So, for rational combinations <strong>to</strong><br />

be designed, much more must be learned<br />

about the complex signaling pathways within<br />

cancer cells, crosstalk between genes, and<br />

messages from outside the cancer cell that<br />

govern cell proliferation and cell death<br />

(apop<strong>to</strong>sis).<br />

Although it is now “hot,” the genomic research<br />

paradigm is not the only avenue worthy<br />

of exploration. Which cancer cells researchers<br />

target may be important, as Max Wicha, of the<br />

University of Michigan, suggested in a plenary<br />

talk in San An<strong>to</strong>nio [Wicha P1]. His research<br />

elegantly demonstrates that tumor stem cells,<br />

the original cells from which all other cancer<br />

cells differentiate, may turn out <strong>to</strong> be of crucial<br />

importance in explaining drug resistance and<br />

the incurability of many cancers. Pointing <strong>to</strong><br />

the notable success in curing metastatic testicular<br />

cancer, Wicha suggested that therapies<br />

designed <strong>to</strong> target only stem cells may be<br />

much more effective.<br />

Mining the Past <strong>to</strong> Predict the Future:<br />

Is It Possible?<br />

With the introduction of microarray and<br />

related technologies a few years ago, where<br />

the entire genetic fingerprint of a cancer (or<br />

the most relevant genes) could be analyzed on<br />

a single chip, the door seemed <strong>to</strong> swing wide<br />

<strong>to</strong> precise individualization of treatment.<br />

A single test would have the power <strong>to</strong> predict<br />

the risk of recurrence, and then <strong>to</strong> tell a<br />

woman with breast cancer exactly which<br />

treatments she needed—or whether she<br />

needed no further treatment after surgery, an<br />

even more powerful revelation for the<br />

majority of newly diagnosed women whose<br />

breast cancers are actually cured by surgery<br />

alone. The concept was mind-boggling.<br />

Imagine no more overtreatment or<br />

undertreatment. No more one-size-fits-all.<br />

And for many if not most of us, there would<br />

be the certainty of knowing we were cured.<br />

Such were the hopes. So far, the possibilities<br />

have proven <strong>to</strong> be just that—possibilities.<br />

Determining which patients are<br />

most likely <strong>to</strong> respond can transform<br />

a drug failure in<strong>to</strong> a success.<br />

The study poised <strong>to</strong> be this year’s<br />

breakthrough news involved the use of the<br />

multi-gene RT-PCR test <strong>to</strong> predict recurrence,<br />

a new 21-gene microarray developed by<br />

Genomic Health. This test is derived from a<br />

combination of genes known <strong>to</strong> govern primarily<br />

cell proliferation and hormonal<br />

regulation in tumor cells. The revolutionary<br />

premise here is that this test is done on<br />

standard diagnostic pathology specimens,<br />

namely, archived, paraffin-embedded tumor<br />

tissue. If this is proven useful, researchers will<br />

be able for the first time <strong>to</strong> correlate archived<br />

tumor tissue with known patient outcomes<br />

from studies initiated and completed years<br />

ago, avoiding lengthy and costly “prospective”<br />

clinical trials.<br />

The validation study for RT-PCR was<br />

done through the National Surgical Adjuvant<br />

<strong>Breast</strong> and Bowel Project, one of the cancer<br />

cooperative groups responsible for many<br />

important clinical trials. Researchers hoped <strong>to</strong><br />

predict who was most and least likely <strong>to</strong> have<br />

a recurrence, based on tumor tissue alone.<br />

Using samples of the tissue of 668 nodenegative<br />

breast cancer patients with ER+<br />

tumors who were treated with tamoxifen<br />

during the 1980s, the study authors said that<br />

they were able <strong>to</strong> predict outcome better than<br />

any single prognostic fac<strong>to</strong>r, apart from tumor<br />

grade. The “low risk” group they identified<br />

had a risk of recurrence of 6.8 percent at 10<br />

years, while the “high risk” group had a<br />

recurrence rate of 30.5 percent [Paik 16].<br />

Genomic Health, who will be marketing<br />

this test as Oncotype DX early in 2004 for a<br />

minimum of $3,000, claims that it will help<br />

women with node-negative ER+ tumors<br />

taking tamoxifen (as most such patients do)<br />

select treatment more wisely. But even if the<br />

test is confirmed in other studies, how much<br />

will it really help the individual woman? How<br />

will the results be confounded if Arimidex ® is<br />

widely accepted as standard of care, rather<br />

than tamoxifen? Is a 6.8 percent risk of<br />

recurrence low enough for a woman <strong>to</strong> feel<br />

comfortable refusing tamoxifen? Wouldn’t a<br />

woman in the highest risk group be<br />

considering chemotherapy anyway? Today,<br />

oncologists combine fac<strong>to</strong>rs<br />

when considering prognosis,<br />

including tumor size, involved<br />

lymph nodes, tumor grade, etc.<br />

Several complex algorithms that<br />

feed recent data from clinical<br />

trials in<strong>to</strong> a computer program<br />

are freely available <strong>to</strong> assist in<br />

this task, such as Adjuvant at<br />

www. adjuvan<strong>to</strong>nline.com. So,<br />

it’s unclear what this test will add <strong>to</strong> the<br />

picture, even if its results are widely<br />

confirmed.<br />

And speaking of confirmation, another<br />

study presented at the conference, using the<br />

same test in a similar population, some of<br />

whom who did not receive tamoxifen, was<br />

conducted at M.D. Anderson <strong>Cancer</strong> Center.<br />

This study failed <strong>to</strong> show any predictive value<br />

for recurrence [Esteva 17]. So, much more<br />

work is clearly needed. A fundamental<br />

question <strong>to</strong> be asked here, according <strong>to</strong><br />

statistician Donald Berry of the M.D.<br />

Anderson <strong>Cancer</strong> Center, is whether these<br />

incredibly complex analyses of genetic<br />

expression are likely <strong>to</strong> ever provide reliable,<br />

reproducible results, given the multiplicity of<br />

potential data points, the difficulties with<br />

uniform data collection and pathology, and a<br />

variety of other statistical and methodological<br />

issues that make interpretation of tests like<br />

this fraught with problems. ◆<br />

Musa Mayer is a 14-year survivor and the author<br />

of four books including, most recently, After<br />

<strong>Breast</strong> <strong>Cancer</strong>: Answers <strong>to</strong> the Questions<br />

You’re Afraid <strong>to</strong> Ask (O’Reilly, 2003). She<br />

provides information and support for women with<br />

metastatic breast cancer daily at www.bclist.org<br />

and www.bcmets.org.<br />

THE NEXT SAN ANTONIO <strong>BREAST</strong> <strong>CANCER</strong> SYMPOSIUM WILL BE DECEMBER 8–11, 2004…

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