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Record W7043703318

Towards an Understanding of the Growing Incidence of Colorectal Cancer and Appendiceal Neoplasms in Young Adults

2022· dissertation· en· W7043703318 on OpenAlexaboutno aff

Bibliographic record

VenueAdelaide Research & Scholarship (AR&S) (University of Adelaide) · 2022
Typedissertation
Languageen
FieldMedicine
TopicCancer Risks and Factors
Canadian institutionsnot available
Fundersnot available
KeywordsIncidence (geometry)EtiologyColorectal cancerYoung adultMalignancyEpidemiologyCancerGermlineGermline mutationGenetic predisposition
DOInot available

Abstract

fetched live from OpenAlex

Colorectal cancer (CRC) incidence and mortality rates are rising in young adults aged <50 years old [referred to as young-onset CRC (YOCRC)] in Australia and many other countries while there has been a steady decline in overall rates of this malignancy in individuals aged ≥50 years old. In addition, the incidence and mortality rates of appendiceal neoplasms (ANs) have also been reported to be on the rise in both age groups (<50 years and ≥50) in the United States, Canada and Netherlands. Currently, the causes of these observations remain largely unknown. Identifying the underlying aetiological factors for YOCRC and ANs is a primary public health priority because addressing these contributing factors is a key prevention strategy. The main aim of this thesis is to explore the observation of the increasing incidence of CRC and ANs in young adults. The aetiology of YOCRC is likely to be heterogeneous, comprising a spectrum of genetic and environmental triggers. To this end, we have investigated the role of type 2 diabetes (T2D) as a marker of increased risk, and explored the exome in YOCRC patients for pathogenic germline variants. Consistent evidence suggests an association between T2D at any age and increased CRC risk. An observational study found that a personal history of T2D was significantly higher in YOCRC patients compared to controls (age- and sex-matched individuals with clear colonoscopies). In addition, analysis of exome sequencing data of YOCRC patients showed that one in six YOCRC patients had clinically actionable germline variants in at least one cancer-predisposing gene, with 35% of these being in genes associated with breast or ovarian cancer. First-degree relatives with CRC were rarely seen in variant carriers and three patients with variants in polyposis associated genes (MUTYH (bi-allelic), RNF43 and BMPR1A) showed no polyposis. In addition, two individuals with CRC were identified from a single-family carrying a likely-pathogenic germline variant in RNF43:c.375+1G>A. Tumours from both carriers were BRAFV600E-mutated and mismatch repair-proficient indicating that the CRCs arose in sessile serrated lesions. However, the proband did not meet the clinical criteria for serrated polyposis. Both studies taken together suggest that phenotype was a poor predictor of genotype. Trends in incidence and mortality rates of ANs in Australia were explored by performing a retrospective analysis on national data obtained from the Australian Institute of Health and Welfare from 1982 to 2013. Similar to the observed trend in other countries, this work has demonstrated that the incidence and mortality rates of ANs are alarmingly on the rise in Australia in both age groups (<50 years and ≥50), both genders, and within diverse histological subtypes. In conclusion, findings from this work suggest that there is an enrichment for personal history of T2D in patients with YOCRC, and that carriers of variants in breast/ovarian cancer-related genes might need to receive surveillance tests for CRC earlier than the general population, and importantly, that multigene panel testing is warranted for all YOCRC patients regardless of family history or phenotype. The findings also lend weight to further consideration for a hereditary role for RNF43 as a tumour suppressor gene in colorectal tumorigenesis outside the setting of individuals meeting the clinical criteria for serrated polyposis. In addition, an apparent rise in the incidence and mortality rates of ANs in Australia was demonstrated, the causes of which remain unclear. Further research exploring the risk factors for YOCRC and ANs is warranted, to stem the rising trend of both these malignancies.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.058
GPT teacher head0.358
Teacher spread0.300 · 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 teacher head, not a consensus.

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
Published2022
Admission routes1
Has abstractyes

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