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Record W4392400068 · doi:10.18103/mra.v12i2.5175

African Environmental Pressures and Carcinogenesis: The Impact on The Lymphomas, the Leukemias, and Breast cancer

2024· article· en· W4392400068 on OpenAlexaff
Christopher Kwesi O. Williams

Bibliographic record

VenueMedical Research Archives · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsBreast cancerCarcinogenesisMedicineLymphomaCancerOncologyInternal medicineCancer researchLeukemia

Abstract

fetched live from OpenAlex

The African environment has for millennia been dominated by rampant agents of infections, of which malaria is among the best known, virtually uncontrolled, and associated with lifelong human struggles, ameliorarated by measures as socioeconomicaly affordable. This has led to the emergence of a variety of genetic aberrations, some of which are deleterious, resulting in major disease dysparities, including benign ones like sickle cell disease, and malignancies like the leukaemias, lymphomas, and breast cancer. They include the reduced incidence and the absence of its peak in acute lymphoblastic leukaemia in the first quinquennium of Nigerian children, which is otherwise typically seen in the children of high-income countries. Conversely is the observation in acute myelogenous leukaemia, with its chloroma-associated variant and its incidence peaking in the second quinquennium. This epidemiology is akin to the recent observation of acute myelogenous leukemia among sickle cell disease patients among the people of African descent in California, USA. Chloroma-associated acute myelogenous leukemia, and Burkitt lymphoma are linked with low socioeconomic status, an epidemiological feature that is shared with triple negative breast cancer patients in West Africa and the women of African descent in the United States. While a role for the malaria-associated genetic aberration underlying the Duffy null genotype is confirmed in the diversity of the triple negative breast cancer in the women of West Africa and those of African descent in the United States, it is conceivable, but not yet established in acute myelogenous leukemia. The zoonosis-linked human T-cell lymphotropic virus type 1 infection is associated with at least 17% of non-BL-non-Hodgkin lymphoma in form of its sentinel disease, the adult T-lymphoma/leukemia, but unexpicably much lower than the 50-60% of other major endemic zones of Japan and the African descendants of the Caribeean. This report describes the clinical, laboratory, and epidemiological features of leukemia and lymphoma cases diagnosed between 1982 and 1984 in the city of Ibadan, Nigeria, some of the features of which are reminiscent of the observations of Ludwig Gross’s experiments on environmental influences, such as malnutrition and infections, on animal leukemogenesis. These events are the consequences of the primordial pressures that have shaped human genetics and pathophysiology. Evidence provided in this study, indicating association of increasing socioeconomic status with increasing frequency of the c-ALL subtype, is indicative of the prospects for leukemogenesis of acute lymphoblastic leukemia and its epidemiology in Nigerians. Some findings reported here indicate the influence of the African genetic ancestry in the etiology of acute myelogenous leukemia, while socioecomic status is linked to the etiology of childhood acute lymphoblastic leukemia, as well as a variant of chronic lymphocytic leukemia, and the chloroma-associated acute myelogenous leukemia. These observations are suggestive of the existence of pathways to etiological discoveries in the leukemias. Observations reviewed in this paper reflect examples of changes that have occurred over the past 200 years in the societal perception of health challenges among the new-found communities of colonial Africa and the Americas - from the reductionistic connotations such as in the “virgin-soil theory” - towards that of social determinants of health.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.024
GPT teacher head0.347
Teacher spread0.323 · 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
Published2024
Admission routes1
Has abstractyes

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