Choosing Most Effective Treatment Using Genomic Profiling Of Lung Tumors

Main Category: Lung Cancer
Also Included In: Genetics;  Clinical Trials / Drug Trials
Article Date: 01 Oct 2007 - 3:00 PDT

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Determining the genetic profile of a particular lung tumor can help clinicians make the crucial decision about which chemotherapy treatment to try first.

A new study led by researchers from the Duke University Comprehensive Cancer Center and the Duke Institute for Genome Sciences & Policy (IGSP) found distinct differences in the susceptibility different tumors have to widely used chemotherapy drugs.

"We were able to predict which tumors would be most likely to respond to standard first-line therapy and which would respond better to what has traditionally been a second-line therapy, based on gene expression profiling," said David Hsu, M.D., Ph.D. an oncologist at Duke and lead author on the publication. "This represents a big step in the move toward individualized medicine. This could also make a huge difference in the treatment of patients with late-stage lung cancer, as most of these patients gain the most benefit from their initial treatment strategy."

The researchers published their findings in the October 1, 2007 issue of the Journal of Clinical Oncology. The study was funded by the Jimmy V Foundation and the National Cancer Institute.

Researchers looked at the sensitivity of multiple cancerous cell lines to cisplatin, the most commonly used agent in the treatment of lung cancer. After determining which cell lines were responsive to cisplatin they looked at the RNA of these tumors and generated a genomic signature -- a pattern of gene expression particular to each individual sample. They were able to draw conclusions about which genes were turned on and which were turned off in these samples, and subsequently created a genomic map for cisplatin sensitivity. The genomic map was then applied to 91 non-small cell lung cancer (NSCLC) tumor samples to determine which tumors were most likely to be responsive to cisplatin, Hsu said.

"We found that tumors known to be sensitive to cisplatin expressed certain genes that were not expressed in tumors that were resistant to cisplatin," said senior author Anil Potti, M.D., an oncologist at Duke and a researcher in the IGSP. "The reverse was true, as well; genes that were not expressed in tumors resistant to cisplatin seemed to be turned on in tumors that were sensitive to it."

The important second part of this project was to come up with a therapy option for the tumors that weren't sensitive, Potti said.

"It's one thing for a doctor to tell a patient that he won't respond to cisplatin," he said, "but we have to know what to do when he asks 'what do you have for me?"

The researchers then examined several common second-line therapies, such as a drug called pemetrexed which uses a different mechanism of action to attack NSCLC tumors.

"We found the strongest inverse correlation between tumors that were sensitive to cisplatin and those that were sensitive to pemetrexed," Potti said. "This suggests that some patients who are not likely to respond to cisplatin should perhaps be treated with pemetrexed first."

A clinical trial -- the first of its kind in lung cancer -- based on the findings of genomics studies is currently underway at Duke. "These are not experimental drugs, we know they work," Potti said. "It's just a matter of giving each patient the right one on the first try."

Almost 180,000 people are diagnosed with lung cancer each year in the United States, and about 160,000 patients die from the disease yearly, according to the American Cancer Society. Non-small cell lung cancer is the most common form of the disease -- accounting for 80 percent of all cases.

Almost half of NSCLC patients are found to have stage four disease, meaning the cancer has spread beyond the lung into other areas of the body. Currently, only 15 to 30 percent of people treated for stage four lung cancer will be alive a year later and only two percent are alive after five years, making this the deadliest form of cancer.

Standard therapy often includes administration of what is called platinum-based chemotherapy, which works by damaging DNA and interrupting the chain of cellular events that leads to cancer proliferation. Response rate to this type of chemotherapy, however, is about 20 to 30 percent, meaning that up to 80 percent of patients getting this treatment do not see their tumors shrink in response to therapy. Those patients may go on to receive what is known as second-line therapy: drugs such as pemetrexed or docetaxel, which work by interrupting the cellular machinery of tumor cells.

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Other researchers involved in this study were Bala Balakumaran, Chaitanya Acharya, Vanja Vlahovic, Kelli Walters, Katherine Garman, Carey Anders, Richard Riedel, David Harpole, Holly Dressman, Joseph Nevins and Phillip Febbo of Duke; and Johnathan Lancaster of the H. Lee Moffitt Cancer Center at the University of South Florida.

Source: Lauren Shaftel Williams
Duke University Medical Center

Article adapted by Medical News Today from original press release.
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Cellular And Gene Expression Profiling

posted by Gregory D. Pawelski on 7 Oct 2007 at 1:57 pm

The interest in and the knowledge of gene expression profiling in cancer medicine has heighten since the completion of the human genome project. However, researchers have cautioned the science of gene expression profiling, in which scientists examine the genetic signature of a cell.

Over the past few years, gene expression profiling has been suggested as the best or only way of determining ex vivo drug sensitivity. However, the clinical applicaton of these DNA content assays have been shown to correlate only with response and not survival. And due to almost all patients being treated with combination chemotherapy, this methodology cannot even be calibrated without the use of cell function analysis. This analysis can actually integrate all the gene expression into one convenient test result.

Many had hoped that the molecular tests would hold the key to success, particularly as more specific drugs are designed to hit the molecular changes that are responsible for the uncontrolled growth of cancer cells. Like testing breast cancer for the presence of hormone receptors and over-expression of growth factor receptors. But, most drugs cannot be looked at in this way and tests that are now in use have limited predictive accuracy.

So how about exposing "live" cancer cells to the drug and testing their effect? You need to expose the cancer cells to the drugs without altering their behavior from the original tumor. It is not possible to remove the non-cancer cells from the tumor without doing this. But certain assay culture methods can get rid of the non-cancer cells before the end of the culture period. These cell culture assays have contributed to the molecular understanding of chemosensitivity and resistance.

An international study published in the August 5, 2004 issue of the New England Journal of Medicine reported that cell culture assay tests with a cell-death endpoint are effective in identifying gene expression patterns that correlate with clinical drug resistance. The study employed the cell-death assay to examine drug resistance at the molecular level.

The investigators exposed cells to drugs and cultured in a 96 hour suspension cell culture drug resistance assay to define sensitivity and resistance. They used the data to define gene expression patterns associated with sensitivity and resistance to each of four drugs commonly used in cancer treatment. They were able to show that the gene expression definitions of sensitivity and resistance were significantly and independently associated with treatment outcome.

In obtaining information from gene mutations (DNA content assays) and/or gene expression (RNA content) it must be realized that DNA structure is only important insofar as it predicts for RNA content, which is only important insofar as it predicts for protein content, which is only important insofar as it predicts for protein function, which is important only insofar as it predicts for cell response, which is only important insofar as it predicts for tumor response and function. In other words, it correlates only with response and not survival, in entirely retrospective (not prospective) studies.

There is cell function analysis (functional profiling) that shows data indicating a near doubling in the survival of patients with platinum resistant ovarian cancer, striking correlations between platinum activity and patient survival in previously-untreated ovarian cancer, and a comprehensive meta-analysis of scores of studies reporting response and survival correlations in thousands of patients.

Plus a study using an angiogenesis assay describing correlations between cell culture assay results and survival in patients with non-small cell lung cancer. These correlations were based on the actual assay results which had been reported, in real time, prospectively to the doctors who had ordered the assay laboratory tests. There were striking correlations between test results and patient survival, not just response.

Not only is cellular profiling a very important predictive test, but it is a unique tool for identifying newer, better drugs, testing drug combinations, and serving as a "gold standard" to develop new DNA, RNA, and protein-based tests of drug activity.

Improving cancer patient diagnosis and treatment through a combination of cellular and gene-based testing will offer predictive insight into the nature of an individual's particular cancer and enable oncologists to prescribe treatment more in keeping with the heterogeneity of the disease. The biologies are very different and the response to given drugs is very different.

Sources: Various Bio-Assay Labs

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

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