Late presentation of cancer in compound heterozygote PMS2 mutation carrier
Bibliographic record
Abstract
Turcot syndrome is clinically characterized by the occurrence of primary brain tumors, colorectal cancer and/or accompanying adenomas. It has been described as both an autosomal dominant and recessive condition and mutations in APC, MLH1, MSH2, MSH6 and PMS2 have been reported. Constitutional Mismatch repair (CMMR) deficiency is a variant of Lynch syndrome (LS) associated with biallelic MMR mutations. Individuals present with NF1 manifestations and generally develop hematological malignancies, brain tumors and/or LS associated cancers, in the first or second decade of life. We report an individual with café au lait macules (CAL) and a history of glioblastoma at 31 and proximal colon cancer at 32. Family history includes a mother with hematologic cancers in her 60’s, maternal half uncle with colon cancer at 48, maternal half uncle with renal cancer and three maternal great uncles with colon cancer. The proband underwent a standard clinical assessment in the cancer genetics clinic. Immunohistochemistry (IHC) and genetic testing for MLH1, MSH2, MSH6 and PMS2 was completed followed by microsatellite (MSI) studies and imunohistochemistry (IHC) for PMS2. IHC on tissue from the patient’s colorectal tumor showed very weak staining of MLH1 in both the tumor and benign colonic mucosa and lymphocytes. No mutation was detected by sequencing and MLPA for MLH1, MSH2 and MSH6. MSI was high and subsequent IHC for PMS2 showed absent staining. Sequencing of PMS2 identified two changes: 2019 delT resulting in a frameshift mutation at codon 673 and 2249G>A (G750D), a missense change in a fully conserved region. In-silico analysis by SIFT [ http://sift.jcvi.org/ ] and Polyphen [ http://genetics.bwh.harvard.edu/pph/ ] predict the missense change to be damaging. This change has also been previously reported as a biallelic mutation in individual with a complete PMS2 gene deletion and history of rectal cancer and brain tumor at 22 and 23 respectively [ 1 ]. The proband’s mother is currently being tested to confirm the two PMS2 mutations are in trans. We report an individual with Turcot syndrome and biallelic PMS2 mutations who developed her first cancer in her 30’s. In this case, biallelic mutations were suspected due to the history of CALs. This result is in keeping with recent reports suggesting a milder phenotype may exist in individuals with biallelic PMS2 mutations, particularly in those where one mutation may be hypomorphic resulting in some residual MMR proficiency.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".