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Record W2020685176 · doi:10.1002/ijc.27744

Current tobacco and water‐pipe smoking enhance human cancer invasion and metastasis

2012· letter· en· W2020685176 on OpenAlexaffabout
Etienne Mfoumou, Zhang Li, Ala‐Eddin Al Moustafa

Bibliographic record

VenueInternational Journal of Cancer · 2012
Typeletter
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsMcGill UniversityConcordia University
Fundersnot available
KeywordsMedicineCancerMetastasisOncologyEpithelial–mesenchymal transitionBreast cancerLung cancerDiseaseCancer cellCarcinomaInternal medicineCancer researchPathology

Abstract

fetched live from OpenAlex

We want to congratulate the authors of the article “Smoking at diagnosis and survival in cancer patients”1 for their input in cancer research on this very important topic. This analysis is based on 5,185 cancer patients in the USA, including 13 sites of cancer disease containing at least 100 patients diagnosed after a median follow-up of 12 years. They reported that current tobacco smoking increased overall mortality (OM) and disease-specific mortality (DSM) risk when compared with former or never smoking patients, using Cox proportional hazards analysis. More specifically, they revealed that current smoking increased mortality risks in lung, head and neck, prostate as well as leukemia in men and breast, ovary, uterus and melanoma in women. This study also showed that current smoking was not associated with any survival benefits in any disease site. Finally, their data confirm that current smoking increase long-term OM and DSM. On the other hand, it is established that metastatic carcinomas are responsible for the majority of cancer-related deaths, either directly due to tumour invasion of critical organs or indirectly due to complications of therapy to control tumour growth and spread. In parallel, epithelial–mesenchymal transition (EMT) describes the dedifferentiation switch between polarized epithelial cancer cells and contractile and motile mesenchymal (invasive) cells during cancer progression and metastasis.2 For instance, epithelial-like cancer cells “carcinoma cells” in the primary tumour can initiate a multi-step process whereby cells down-regulate the expression patterns of intracellular proteins, such as E-cadherin, catenins, ZO1 as well as claudins and up-regulate signaling pathways and proteins, such as N-cadherin and vimentin associated with a more motile, mesenchymal phenotype. Such changes lead to the progression of EMT which incites the reduction in cell–cell adhesion and enhances migratory capacity.2, 3 Interestingly, earlier studies, including ours, demonstrated that epidermal growth factor receptor (EGF-R) activation provokes the development of EMT in several human carcinomas especially lung cancer. Meanwhile, it has been well documented that EGF-R mutations, that occur under the effect of tobacco smoking,4 and consequently its activation is involved in the development of numerous human carcinomas.3 More interestingly, recent studies found that tobacco smoking including nicotine induces the development of EMT and deregulates its key genes, such as E-cadherin and catenins, which subsequently provoke cell invasion and metastasis of lung cancer.5, 6 Alternatively, water-pipe smoking (WPS) is common especially in the Eastern Mediterranean Region, as it is believed that 20% of adult people living in these countries smoke water-pipe.7 Moreover, WPS has recently been spreading among young people in the western countries including the United States and Canada.8, 9 Smoke from water-pipes contains most of the compounds that are also present in cigarette smoke, although in different proportions.10 More importantly, the longer duration of a WPS session leads to a much higher yield of toxic molecules than cigarette smoking.9, 10 Thus, we believe that current water-pipe and tobacco smoking are important risk factors in the initiation of cancer invasion and metastasis through the EMT event and deregulation of its key genes. However, more molecular and cellular biological studies are necessary to determine the exact role of tobacco and WPS in the progression of several human carcinomas. The authors are thankful to Mrs A. Kassab for her critical reading of the letter. Yours sincerely, Etienne Mfoumou Zhang Li Ala-Eddin Al Moustafa Etienne Mfoumou*, Zhang Li , Ala-Eddin Al Moustafa* §, * Department of Mechanical Engineering, Concordia University, Montreal, Quebec, Canada, Department of Urology, Zhong Shan Hospital of Shanghai, China, Syrian Research Cancer Centre of the Syrian Society against Cancer, § Department of Oncology, McGill University, Montreal, Quebec, Canada.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

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)0.0080.001

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 head0.040
GPT teacher head0.368
Teacher spread0.328 · 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 designBench or experimental
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".

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Citations4
Published2012
Admission routes2
Has abstractyes

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