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Record W2164491820 · doi:10.1080/13590840500535396

Environmental influences in cancer aetiology

2005· article· en· W2164491820 on OpenAlexaboutno aff
J.A. Newby, C. V. Howard

Bibliographic record

VenueJournal of Nutritional & Environmental Medicine · 2005
Typearticle
Languageen
FieldMedicine
TopicCancer Risks and Factors
Canadian institutionsnot available
Fundersnot available
KeywordsEtiologyEpidemiologyMedicineEnvironmental healthIncidence (geometry)CancerEnvironmental epidemiologyCancer incidenceEpidemiology of cancerCancer preventionPathologyBreast cancerInternal medicine

Abstract

fetched live from OpenAlex

Purpose. The purpose of this review is to inform both scientists and clinicians about the increase in cancer incidence throughout the Western World and to discuss environmental influences in cancer aetiology, in order to stimulate thoughts about plausible aetiological mechanisms and possible preventative measures.Design. Literature review.Materials and methods. This review was conducted by searching biomedical databases such as PubMed and Medline. Further research to obtain cancer incidence data involved accessing UK cancer registries, major cancer charities and government statistical records from the Office of National Statistics, the Department of Health, and the Department of Environment, Food and Rural Affairs.Results. Cancer incidence rates have increased in the Western World and this increased incidence affects the whole age spectrum. Epidemiological studies have provided some evidence of an association between exposure to environmental contaminants such as organochlorines and increased cancer risk. However, many epidemiological studies have been inconclusive. Similar reviews concerning environmental influences in cancer aetiology concluded that exposures to carcinogenic or endocrine‐disrupting chemicals exist at concentrations too low or have carcinogenic potential too weak to be considered a major factor in cancer aetiology. However, animal and in vitro studies together with epidemiological evidence discussed in this review would dispute that claim; even if healthy adults are not at risk, it would seem that the developing foetus, infant, child and young adults are at risk. In addition, studies discussed in this review show that low oestrogenic potency cannot be used as a marker of the capability of a chemical to cause oestrogenic responses and endocrine disruption. Genetic polymorphisms, which can predispose people to cancer, may interact with environmental contaminants such as organochlorines and endocrine disrupters, thus providing a modifying effect. Prevention measures have hitherto predominately centred on tobacco smoking cessation and diet education. Anecdotal evidence from practising physicians in pre‐industrial and traditional living societies, i.e. Canadian Inuits and Brazilian Indians suggests malignant disease was rare. A relatively new theory other than the somatic mutation theory has been proposed, the main premise being that carcinogenesis is a problem of tissue organization, comparable with organogenesis.Conclusions. It is feasible that chemical environmental contaminants, in particular synthetic pesticides and organochlorines with endocrine‐disrupting properties, could be major factors in cancer aetiology, particularly for hormone‐dependent malignancies, such as breast, testicular and prostate cancers. Animal and in vitro studies provide good evidence of a feasible mechanism whereby environmentally relevant levels of organochlorines and substances of low oestrogenic potency can cause endocrine disruption and consequently malignant disease. In addition, low oestrogenic potency should not be used as a marker of the capability of a chemical to cause oestrogenic responses and endocrine disruption. Preventative measures other than education about tobacco, diet and the promotion of physical activity should be considered. Moreover, it seems to be the most vulnerable members of society: the developing foetus, the developing child and adolescent and the genetically predisposed, who are at risk of developing cancer following involuntary exposure to environmental contaminants. This may be an appropriate time for governments to adopt the precautionary principle until substances to which members of society are involuntarily exposed are proved safe from long‐term, low‐level effects on human health. The World Health Organization estimates that between 1 and 5% of malignant disease in developed countries is attributable to environmental factors: it is possible that this figure may be underestimated. Anecdotal evidence suggests that cancer may be a disease of industrialization. Further research into the tissue organization field theory may be warranted, as some forms of pre‐malignant states are attributed to dysorganogenesis, for example an undescended testis.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.307
Teacher spread0.288 · 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

Citations28
Published2005
Admission routes1
Has abstractyes

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