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TERT Mutations in Patients with Squamous Cell Carcinoma of the Tongue and Refractory Anemia

2008· article· en· W2554918032 on OpenAlexaff
Geraldine Aubert, Mark Hills, Carol Cremin, Irma Vulto, Barbara McGillivray, Peter M. Lansdorp

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsBC Children's HospitalBC Cancer AgencyTerry Fox Research Institute
Fundersnot available
KeywordsDyskeratosis congenitaTelomereBone marrow failureTelomerase RNA componentPathologyCancerMedicineGastroenterologyCancer researchInternal medicineTelomeraseBiologyTelomerase reverse transcriptaseGeneticsGene

Abstract

fetched live from OpenAlex

Abstract Dyskeratosis Congenita (DC) is a marrow failure syndrome characterized by skin and nail abnormalities, oral leukoplakia and very short telomeres in circulating leukocytes. Heritable defects in telomere maintenance have been directly implicated in DC by the discovery of mutations in genes encoding components of the telomerase complex: DKC1, TERT, and TERC as well as mutations in the gene encoding the telomere binding protein TINF2. Defective telomeres in DC result in impaired hematopoiesis and predispose to myeloproliferative disorders. Heritable mutations in TERT and TERC have also been implicated in patients presenting with aplastic anemia (AA) and idiopathic pulmonary fibrosis (IPF) without clinical signs of DC. Because short telomeres appear to be associated with increased risks for various human cancers, including head and neck cancer, we sequenced TERT and TERC in two patients with oral carcinoma and anemia. The first patient presented at age 47 with invasive squamous cell carcinoma (SCC) of the tongue. The patient had a male sibling said to be also suffering from SCC which was not available for analysis and his mother died at age 37 from lymphoma. The patient displayed mild macrocytic anemia and oral leukoplakia. The telomere lengths of peripheral blood cells from the patient, determined by flow-FISH, were found to be below the first percentile expected for his age. In contrast, the leukocyte telomere lengths for the patient’s father and a female sibling were within the normal range. Bi-directional sequence analysis of TERT and TERC was conducted on DNA isolated from whole blood for the three family members. A novel mutation in exon 9 of TERT, C842T, situated within the reverse transcriptase domain of the telomerase enzyme catalytic component was identified in the patient but not in the 2 unaffected relatives. This suggested inheritance of a TERT mutation from the mother. The function of TERT C842T was compared to wildtype (WT) TERT by transfecting WT and mutant TERT cDNA into clonal Jurkat T cells and measuring telomere elongation by flow-FISH following 4 weeks of culture. TERT C842T showed 30% of the elongation obtained with WT TERT (p=0.0034). The second patient is a 60 yr old male with SCC of the tongue and refractory anemia with ring sideroblasts. The leukocyte telomere length was around the 1st percentile expected for his age. TERT sequencing revealed a three nucleotide deletion resulting in loss of 441E while retaining frame that is expected to impair telomerase activity. Our data support the concept that mutations in TERT can cause defective telomere maintenance and thereby compromise the proliferation of hematopoietic as well as epithelial cells. The resulting loss of normal cells selects for cells with defective DNA damage checkpoints that are triggered by chromosome ends without telomere repeats. Such cells are at high risk of becoming malignant because their proliferation will be stimulated by the loss of normal cells and their genome is very unstable as telomere function is compromised. Together these factors facilitate and enable clonal evolution of abnormal cells by DNA repair defects and cycles of chromosome fusions/bridge/breakage. Hematological and pathological findings consistent with Dyskeratosis Congenita together with peripheral blood telomere length measurements appear useful parameters to screen for telomere defects in patients and facilitate the discovery of mutations in “telomere maintenance” genes. The TERT mutations in patients with oral carcinomas illustrate that disease manifestations of telomere dysfunction in humans can be very diverse and range from DC, to defective hematopoiesis, pulmonary fibrosis and cancer predisposition.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.008
GPT teacher head0.196
Teacher spread0.189 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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