Genomic testing in cancer: Patient knowledge, attitudes, and expectations
Bibliographic record
Abstract
BACKGROUND: Genomic testing in cancer (GTC) characterizes genes that play an important role in the development and growth of a patient's cancer. This form of DNA testing is currently being studied for its ability to guide cancer therapy. The objective of the current study was to describe patients' knowledge, attitudes, and expectations toward GTC. METHODS: A 42-item self-administered GTC questionnaire was developed by a multidisciplinary group and patient pretesting. The questionnaire was distributed to patients with advanced cancer who were referred to the Princess Margaret Cancer Center for a phase 1 clinical trial or GTC testing. RESULTS: Results were reported from 98 patients with advanced cancer, representing 66% of the patients surveyed. Seventy-six percent of patients were interested in learning more about GTC, and 64% reported that GTC would significantly improve their cancer care. The median score on a 12-item questionnaire to assess knowledge of cancer genomics was 8 of 12 items correct (67%; interquartile range, 7-9 of 12 items correct [58%-75%]). Scores were associated significantly with patients' education level (P < .0001). Sixty-six percent of patients would consent to a needle biopsy, and 39% would consent to an invasive surgical biopsy if required for GTC. Only 48% of patients reported having sufficient knowledge to make an informed decision to pursue GTC whereas 34% of patients indicated a need for formal genetic counseling. CONCLUSIONS: Patients with advanced cancer are motivated to participate in GTC. Patients require further education to understand the difference between somatic and germline mutations in the context of GTC. Educational programs are needed to support patients interested in pursuing GTC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".