Detection of Genetic Markers of Lung Cancer
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ClinicalTrials.gov Identifier: NCT00280202 |
Recruitment Status :
Recruiting
First Posted : January 20, 2006
Last Update Posted : March 13, 2023
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Tracking Information | |||||||||
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First Submitted Date | January 18, 2006 | ||||||||
First Posted Date | January 20, 2006 | ||||||||
Last Update Posted Date | March 13, 2023 | ||||||||
Study Start Date | June 1996 | ||||||||
Estimated Primary Completion Date | December 2050 (Final data collection date for primary outcome measure) | ||||||||
Current Primary Outcome Measures |
The odds ratio for the risk of lung cancer associated with molecular markers [ Time Frame: No specific time frame ] | ||||||||
Original Primary Outcome Measures |
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Change History | |||||||||
Current Secondary Outcome Measures |
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Original Secondary Outcome Measures |
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Current Other Pre-specified Outcome Measures | Not Provided | ||||||||
Original Other Pre-specified Outcome Measures | Not Provided | ||||||||
Descriptive Information | |||||||||
Brief Title | Detection of Genetic Markers of Lung Cancer | ||||||||
Official Title | Detection of Genetic Markers of Lung Cancer Initiation and Progression | ||||||||
Brief Summary | The purpose of this research study is to determine the genetic changes and immunologic changes that are involved in the development and progression of bronchogenic lung cancer. | ||||||||
Detailed Description | The multistage theory of carcinogenesis includes the development of multiple activating genetic changes due to exposure to carcinogens, either primarily, or superimposed upon pre-existing mutations in the genome. These changes result in activation of protooncogenes, lack of expression of tumor suppressor genes, or combinations of the above, the sum of which results in malignant transformation. Detailed analyses of chromosomal lesions in bronchogenic lung cancer reveal several recurring abnormalities, including deletions, duplications or polysomy of chromosomes 1, 3, 7 and 20. Aberrations in the short arm of chromosome 3, in particular, are found in many small cell and non-small cell lung cancers, and polysomy 7 is a frequent finding in non-small cell lung cancers. Many of these abnormalities have no identified significance, however the application of current and evolving techniques of molecular biology have revealed specific genomic changes leading to malignant phenotypes in several tumors, for example, the application of polymerase chain reaction amplification techniques has revealed a striking incidence of mutations in the h- and k-ras protooncogenes have been discovered, associated with over-expression of growth factors or receptors, for example epidermal growth factor receptor. As all epithelial cells are exposed to similar environmental conditions, it seems likely that many cells undergo mutagenesis simultaneously. Clinically, this is frequently apparent, as 10-20% of patients with lung cancer have another epithelial cancer arise, either concurrently, or at some later time in their course. The predisposition for development of second malignancies also affects other epithelial surfaces, for example, there is a strong tendency for patients with cancer of the head and neck to develop a second malignancy (bronchogenic lung cancer) in the aerodigestive tract. Despite decreases in the smoking rate overall in the United States, projections through 2025 indicate that there will still be 100,000 deaths annually from lung cancer and other smoking-associated cancers. Therefore, it would be of great benefit to patients at risk of developing lung cancer to identify these changes prior to the development of invasive malignant lesions. This is particularly true of patients who have already developed a cancer, or in patients with a strong family history who may have occupational (eg., asbestos) or habitual (eg., cigarette smoke) exposure to carcinogens. Identification of cancers in the pre-clinical stage has been attempted previously, for example with screening chest x-rays or sputum cytologies, however, these approaches have not proven to be beneficial, as current detection methods are not sensitive enough to identify early, non-phenotypic changes. The proposal outlined herein is designed to clarify this issue by examining bronchial tissue from patients at risk for development of a second cancer (patients undergoing primary resection for cure of bronchogenic lung cancer) and assessing the biopsy tissue for the presence of chromosomal abnormalities and mutations in the h- and k-ras protooncogenes. These changes may be present for long periods of time in airway epithelial cells prior to the development of overt pathologic changes, and methods to recognize these changes would be useful to assess and follow patients at risk for developing malignancy. Importance of lymph node status in lung cancer: In patients with non-small cell lung cancer (NSCLC), tumor stage is the strongest determinant of prognosis. Stratification of patients into stages facilitates individual treatment decisions based on the survival statistics of a population. Within these staged populations however, subsets of patients with apparent early disease will still suffer cancer recurrence. This is due to the inability of current staging methods to detect small numbers of disseminated tumor cells (micrometastases) in these patients. Reverse transcription-PCR (RT-PCR) for cancer related messenger RNA's has been shown to detect the presence of micrometastases in histologically negative lymph node specimens, and these findings correlate with poor outcome. Unfortunately, routine clinical application of this technique has been limited by "false positive" results in control tissues and a low specificity for predicting disease recurrence. We have recently shown that quantitative RT-PCR (QRT-PCR) can discriminate between true and false positives, and that this results in an improved ability to predict recurrence. In this proposal we intend to analyze lymph nodes from patients undergoing surgical resection for NSCLC using quantitative RT-PCR. These patients will then be followed for five years to determine tumor recurrence. The goal is to use QRT-PCR to try and identify which patients are at highest risk for disease recurrence and who may therefore benefit from more aggressive therapies. Specific Aims
Significance Several researchers have already established that chromosomal changes occur in a non-random pattern in non-small cell lung cancer. It appears that these changes correlate with specific genetic changes, resulting in the malignant phenotype. Furthermore, a great deal of experimental evidence supports the multistage theory of carcinogenesis, whereby incremental changes in the genome accumulate, resulting in the malignant phenotype. The final product of the accumulated changes is determined by the cell of origin and the number and severity of changes occurring. We hope to establish that early changes (as expressed by karyotypic changes or by particular point mutations) can be identified which would indicate the likelihood of particular patient developing another malignancy. This information could then be applied to clinical situations, for example, to determine the frequency of clinical follow-up by chest x-ray, screening bronchoscopy, or sputum cytology. Furthermore, the information gathered could help identify one or a few genetic changes necessary for transformation, which could then be explored to further define the transformation process. The presence of malignant cells in lymph nodes is a critical parameter in the staging of lung cancer patients. Assessment of lymph nodes is currently done by histopathology alone. The long-term survival of lung cancer patients who have Stage IB disease (no known lymph node involvement with a tumor greater than 2 cm) is lower than patients who are Stage IA (no known lymph node involvement with a tumor less than 2 cm). Likewise, the survival rates of patients who are judged to be Stage II based on histologically positive level one lymph nodes is often no better than that of higher stage patients who have level two lymph node involvement. These observations suggest that micrometastases are often present in lymph nodes that are not detectable by histological assessment. This proposal will supplement the histopathological examination of lymph nodes with methods that detect occult metastatic cells to determine whether assigning patients to a higher stage more accurately reflects their disease burden. This could affect subsequent treatment and patient outcomes. |
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Study Type | Observational | ||||||||
Study Design | Observational Model: Cohort Time Perspective: Prospective |
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Target Follow-Up Duration | Not Provided | ||||||||
Biospecimen | Retention: Samples With DNA Description: Blood, tissue, and lymph nodes
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Sampling Method | Non-Probability Sample | ||||||||
Study Population | Eligible patients will be selected from investigator's clinic. | ||||||||
Condition | Lung Cancer | ||||||||
Intervention |
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Study Groups/Cohorts | Not Provided | ||||||||
Publications * | Not Provided | ||||||||
* Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline. |
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Recruitment Information | |||||||||
Recruitment Status | Recruiting | ||||||||
Estimated Enrollment |
6000 | ||||||||
Original Enrollment |
2000 | ||||||||
Estimated Study Completion Date | December 2050 | ||||||||
Estimated Primary Completion Date | December 2050 (Final data collection date for primary outcome measure) | ||||||||
Eligibility Criteria | Inclusion Criteria:
Exclusion Criteria: None |
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Sex/Gender |
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Ages | 18 Years to 100 Years (Adult, Older Adult) | ||||||||
Accepts Healthy Volunteers | No | ||||||||
Contacts |
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Listed Location Countries | United States | ||||||||
Removed Location Countries | |||||||||
Administrative Information | |||||||||
NCT Number | NCT00280202 | ||||||||
Other Study ID Numbers | STUDY19060269 UPCI #99-053 ( Other Identifier: UPittsburgh Cancer Institute Protocol Review Committee ) |
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Has Data Monitoring Committee | Yes | ||||||||
U.S. FDA-regulated Product |
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IPD Sharing Statement |
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Current Responsible Party | Arjun Pennathur, University of Pittsburgh | ||||||||
Original Responsible Party | Not Provided | ||||||||
Current Study Sponsor | University of Pittsburgh | ||||||||
Original Study Sponsor | Same as current | ||||||||
Collaborators | National Institutes of Health (NIH) | ||||||||
Investigators |
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PRS Account | University of Pittsburgh | ||||||||
Verification Date | March 2023 |