Impact of smoking on outcome of resected lung adenocarcinoma

Tomita, Masaki; Ayabe, Takanori; Chosa, Eiichi; Nakamura, Kunihide

doi:10.1007/s11748-015-0579-y

Cited by 13 publications

(7 citation statements)

References 24 publications

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“…Recent studies have showing that smoking was a significant predictive for unfavorable prognosis in lung adenocarcinoma (26). And it was robustly associated with GGO growth (27).…”

Section: Discussionmentioning

confidence: 97%

Correlation in histological subtypes with high resolution computed tomography signatures of early stage lung adenocarcinoma

Miao¹,

Zhang²,

Zou³

et al. 2017

Transl. Lung Cancer Res.

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“…Recent studies have showing that smoking was a significant predictive for unfavorable prognosis in lung adenocarcinoma (26). And it was robustly associated with GGO growth (27).…”

Section: Discussionmentioning

confidence: 97%

Correlation in histological subtypes with high resolution computed tomography signatures of early stage lung adenocarcinoma

Miao¹,

Zhang²,

Zou³

et al. 2017

Transl. Lung Cancer Res.

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“…The cumulative amount of alcohol consumption (g) was calculated as a product of daily alcohol consumption (mL) × alcohol percentage × 0.8 (g/mL) × duration of use (days). BI is a product of the number of cigarettes per day × duration of use (days) [7, 8]; BI and cumulative alcohol consumption were calculated based on the data recorded during the patient interview.…”

Section: Methodsmentioning

confidence: 99%

Study on Clinical Factors Involved in <b><i>Helicobacter pylori</i></b>-Uninfected, Undifferentiated-Type Early Gastric Cancer

et al. 2017

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Background: The factors associated with the pathogenesis of Helicobacter pylori-uninfected undifferentiated-type early gastric cancer (HPUGC) remain unclear. This study compared patient characteristics, including medical history and alcohol/tobacco use, of HPUGC patients with characteristics of patients with H. pylori-positive undifferentiated-type early gastric cancer (HPPGC) to clarify and gain understanding on those differences that could play a role in the pathogenesis. Methods: This retrospective study included 282 patients who were treated endoscopically from March 2005 to March 2014. This cohort consisted of 232 patients with HPPGC (82.3%) and 50 patients with HPUGC (17.7%). Patient characteristics were analyzed by subgroups of HPUGC vs. HPPGC, with comparisons for age, gender, cancer history, comorbidity of lifestyle diseases requiring medication (hypertension, type 2 diabetes, and dyslipidemia), cumulative amount of alcohol consumption, and smoking history (Brinkman index [BI]). Results: HPUGC patients were typically younger, had less frequent hypertension, and had higher BI values (p < 0.05 for all parameters). In a younger non-hypertensive subgroup, the OR for high BI (BI ≥340) in the HPUGC group vs. HPPGC group was 5.049 (95% CI 2.458–10.373, p < 0.0001). Conclusions: The investigation of clinical factors identified smoking history as being possibly contributing to the pathogenesis of HPUGC. Future research is necessary at the cellular and genetic levels.

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“…Available bioinformatics analyses can be a powerful tool for identifying biomarkers and therapeutic targets related to tumour progression and treatment. Previous studies have shown that novel serum biomarkers, including serum exosomes ( 27 – 29 ) and serum CEA ( 30 – 33 ), are good predictors of prognosis in lung adenocarcinoma. In addition, serum biomarkers related to inflammatory response are also good predictors of lung adenocarcinoma prognosis ( 34 , 35 ).…”

Section: Discussionmentioning

confidence: 99%

Construction of IL-1 signalling pathway correlation model in lung adenocarcinoma and association with immune microenvironment prognosis and immunotherapy: Multi-data validation

Yang²,

Yu³

et al. 2023

Front. Immunol.

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Numerous studies have confirmed the inextricable link between inflammation and malignancy, which is also involved in developing lung adenocarcinoma, where IL-1 signalling is crucial. However, the predictive role of single gene biomarkers is insufficient, and more accurate prognostic models are needed. We downloaded data related to lung adenocarcinoma patients from the GDC, GEO, TISCH2 and TCGA databases for data analysis, model construction and differential gene expression analysis. The genes of IL-1 signalling-related factors were screened from published papers for subgroup typing and predictive correlation analysis. Five prognostic genes associated with IL-1 signalling were finally identified to construct prognostic prediction models. The K-M curves indicated that the prognostic models had significant predictive efficacy. Further immune infiltration scores showed that IL-1 signalling was mainly associated with enhanced immune cells, drug sensitivity of model genes was analysed using the GDSC database, and correlation of critical memories with cell subpopulation components was observed using single-cell analysis. In conclusion, we propose a predictive model based on IL-1 signalling-related factors, a non-invasive predictive approach for genomic characterisation, in predicting patients’ survival outcomes. The therapeutic response has shown satisfactory and effective performance. More interdisciplinary areas combining medicine and electronics will be explored in the future.

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Impact of smoking on outcome of resected lung adenocarcinoma

Abstract: The smoking was significantly predictive of an unfavorable prognosis after surgery for lung adenocarcinoma. It is suggested that smoking is associated with serum CEA level, histologic subtype and GGO, resulting in unfavorable outcome.

Cited by 13 publications

References 24 publications

Correlation in histological subtypes with high resolution computed tomography signatures of early stage lung adenocarcinoma

Correlation in histological subtypes with high resolution computed tomography signatures of early stage lung adenocarcinoma

Study on Clinical Factors Involved in <b><i>Helicobacter pylori</i></b>-Uninfected, Undifferentiated-Type Early Gastric Cancer

Construction of IL-1 signalling pathway correlation model in lung adenocarcinoma and association with immune microenvironment prognosis and immunotherapy: Multi-data validation

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