Identification of single nucleotide polymorphisms in the human kallikrein 10 (<i>KLK10</i>) gene and their association with prostate, breast, testicular, and ovarian cancers
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Bibliographic record
Abstract
BACKGROUND: The KLK10 gene (also known as the normal epithelial cell-specific 1 gene) is a member of the expanded human kallikrein gene family. Recently, it has been reported that KLK10 is a tumor suppressor gene and that its expression is downregulated in various forms of cancer and cancer cell lines. KLK10 is also upregulated in ovarian cancer. We thus hypothesized that the KLK10 gene may be a target for mutations in various cancers. METHODS: We sequenced the five coding exons of the KLK10 gene using genomic DNA from various tumors, normal tissues, and blood, by PCR amplification and automated sequencing. RESULTS: In none of the tumor-derived DNAs, we identified somatic mutations that could inactivate this gene. However, we identified a prevalent germline single nucleotide variation at codon 50 (exon 3) of this gene [GCC (alanine) to TCC (serine)]. The GCC genotype was less prevalent in prostatic cancer patients in comparison to control subjects (P = 0.027) but no differences were seen with testicular, ovarian, and breast cancer. We also identified four genetic variations in exon 4, at codons106 [GGC (glycine) to GGA (glycine)], codon 112 [ACG (threonine) to ACC (threonine)], codon 141 [CTA (leucine) to CTG (leucine)], and at codon 149 [CCG (proline) to CTG (leucine)]. None of these variations was significantly different between normal subjects and cancer groups. CONCLUSIONS: We found no evidence for somatic mutations of the KLK10 gene in cancers of the prostate, breast, ovary, and testis. The single nucleotide variation at codon 50 appears to be associated with prostate cancer risk.
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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 | 0.001 | 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 it