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Glycemic status, insulin resistance, and mortality from lung cancer among individuals with and without diabetes

Cancer & Metabolism volume 12, Article number: 17 (2024) Cite this article

Abstract

Background

The effects of glycemic status and insulin resistance on lung cancer remain unclear. We investigated the associations between both glycemic status and insulin resistance, and lung cancer mortality, in a young and middle-aged population with and without diabetes.

Methods

This cohort study involved individuals who participated in routine health examinations. Lung cancer mortality was identified using national death records. Cox proportional hazards models were used to calculate hazard ratios (HRs) with 95% CIs for lung cancer mortality risk.

Results

Among 666,888 individuals (mean age 39.9 ± 10.9 years) followed for 8.3 years (interquartile range, 4.6–12.7), 602 lung cancer deaths occurred. Among individuals without diabetes, the multivariable-adjusted HRs (95% CI) for lung cancer mortality comparing hemoglobin A1c categories (5.7–5.9, 6.0–6.4, and ≥ 6.5% or 39–41, 42–46, and ≥ 48 mmol/mol, respectively) with the reference (< 5.7% or < 39 mmol/mol) were 1.39 (1.13–1.71), 1.72 (1.33–2.20), and 2.22 (1.56–3.17), respectively. Lung cancer mortality was associated with fasting blood glucose categories in a dose–response manner (P for trend = 0.001) and with previously diagnosed diabetes. Insulin resistance (HOMA-IR ≥ 2.5) in individuals without diabetes was also associated with lung cancer mortality (multivariable-adjusted HR, 1.41; 95% CI, 1.13–1.75). These associations remained after adjusting for changing status in glucose, hemoglobin A1c, insulin resistance, smoking status, and other confounders during follow-up as time-varying covariates.

Conclusions

Glycemic status within both diabetes and prediabetes ranges and insulin resistance were independently associated with an increased risk of lung cancer mortality.

Background

Lung cancer is the first and second most common cancer worldwide in men and women respectively [1], and the leading cause of cancer death despite advancements in screening and treatment [1]. Cigarette smoking remains the leading risk factor [1], though a significant proportion of lung cancer cases occur in never-smokers [2], with a recent rise in non-smoking cases [3, 4]. Additionally, a higher incidence of lung cancer among young women than men has been reported, unexplained by smoking differences [5]. Thus, identifying additional modifiable risk factors in a cohort including young and middle-aged participants may improve screening and prevention strategies, ultimately reducing lung cancer mortality.

The prevalence of diabetes is increasing worldwide, with an estimated 1 in 11 adults affected [6]. Diabetes is associated with an increased risk of cardiovascular diseases, as well as certain cancers, particularly pancreatic and liver cancers [6], and premature mortality [7]. Insulin resistance, hyperinsulinemia, and hyperglycemia, associated with diabetes, may promote cancer cell growth [8], yet studies on diabetes and lung cancer risk have shown inconsistent findings [9], ranging from positive [10, 11], to negative [12], or null [13] associations. Many studies have defined prevalent diabetes as the exposure of interest, although a few studies considered incident diabetes or time-varying diabetes status during follow-up [10, 11]. Indeed, prevalent diabetes can vary in duration, exposure to glucose-lowering medications (including insulin), and complications, making it difficult to determine the role of hyperglycemia or insulin resistance per se in lung cancer development. Furthermore, a significant proportion of individuals who have prediabetes were included in control groups although prediabetes is a state that is often accompanied by insulin resistance and is associated with an increased risk of some cancers, and also all-cause and cancer mortality [14, 15].

Currently, no single study has tested the effect of prediabetes, hemoglobin A1c (HbA1c), and measures of insulin resistance on lung cancer mortality. A Japanese study reported that elevated 2-h postload glucose levels were associated with lung cancer deaths, but did not find increased risk with elevated fasting blood glucose (FBG) levels, and did not evaluate HbA1c [16]. HbA1c is reflective of glucose concentrations in the previous 2–3 months and is more strongly associated with cardiovascular disease risk and death than fasting blood glucose (FBG) levels even in people without diabetes [17, 18]; however, no studies to date have addressed the association between HbA1c with lung cancer mortality. Insulin resistance, a key pathogenic component of diabetes, precedes diabetes [19] and may improve along with hyperglycemia through health behavior modifications before the onset of diabetes. Therefore, elucidating the association between insulin resistance and hyperglycemia and lung cancer mortality has clinical significance in the establishment of preventive measures for metabolically-associated neoplasms. Moreover, due to the high lung cancer mortality rates [1], mortality can serve as a proxy marker for incidence, and is linked to survival [20].

Hence, we investigated the associations between glycemic status in both the prediabetes and diabetes ranges, and insulin resistance, with lung cancer mortality, using a large sample of mostly young and middle-aged Korean men and women with and without diabetes.

Methods

Study population

This cohort study was part of the Kangbuk Samsung Health Study, which included adults who participated in health examinations at the Kangbuk Samsung Hospital Total Healthcare Centers in Seoul and Suwon, South Korea [21]. More than 80% of the participants were employees of companies and governmental organizations or their spouses, whereas the remainder voluntarily enrolled in the health examination program. In South Korea, the Industrial Safety and Health Law requires employees to undergo annual or biennial health examinations.

This study included participants who underwent health examinations between 2005 and 2019 (n = 682,030). A total of 15,142 participants were excluded because of unknown data on vital status (n = 3); missing data on FBG, HbA1c, and BMI (n = 1,423); and previous history of cancer (n = 13,734). Some participants met more than one exclusion criteria; hence, 666,888 participants were ultimately included in the analysis. This study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board of Kangbuk Samsung Hospital (IRB no. KBSMC 2022–05-009), which waived the requirement for informed consent because we used a preexisting de-identified dataset of routinely collected data linked to mortality data from the Korean National Statistical Office.

Data collection

Information on demographic characteristics, health behaviors, and medical history were collected using standardized self-administered questionnaires at baseline [21].

Smoking status was classified as never, former, or current smoker. Alcohol intake was categorized as none, < 20 g/day, or ≥ 20 g/day. Regular exercise was assessed as a weekly frequency of moderate-to-vigorous activity and categorized as < 3 and ≥ 3 times/week. Participants were considered to have a family history of cancer if ≥ 1 first-degree relative with any cancer type was present.

Trained nurses measured the sitting blood pressure, height, and weight of each participant. Hypertension was defined as blood pressure ≥ 140/90 mmHg or self-reported antihypertensive medication use. Obesity was defined as BMI ≥ 25 kg/m2, the proposed cutoff for diagnosing obesity in Asians [22].

Study participants were instructed to fast for at least 10 h before the blood tests, which included glycemic status markers (FBG, HbA1c, insulin); lipid levels (total cholesterol, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol); and alanine aminotransferase and high-sensitivity C-reactive protein levels. Fasting insulin was measured using immunoradiometric assays (BioSource, Nivelles, Belgium) from 2002 to 2009, and the Modular E170 system (Roche Diagnostics, Tokyo, Japan) thereafter. Insulin resistance was assessed using the homeostatic model assessment of insulin resistance (HOMA-IR) equation with a cutoff value of 2.5 as follows: fasting blood insulin (IU/L) × FBG (mg/dL)/405 [23].

FBG levels were categorized as FBG < 90, 90–99, 100–125, and ≥ 126 mg/dL (< 5.0, 5.0–5.5, 5.6–6.9, and ≥ 7.0 mmol/L, respectively). HbA1c was categorized as < 5.7, 5.7–5.9, 6.0–6.4, and ≥ 6.5% (< 39, 39–41, 42–46, and ≥ 48 mmol/mol, respectively). Diabetes was categorized into two groups: previously diagnosed diabetes, which was defined by self-reported physician-diagnosed diabetes or current glucose-lowering medication use, and screen-detected diabetes, defined as FBG ≥ 126 mg/dL (7.0 mmol/L) or HbA1c ≥ 6.5% (48 mmol/mol) measured during health examinations.

Mortality follow-up until December 31st, 2020 was based on nationwide death certificate data retrieved from the Korean National Statistical Office, which provided the date and cause of death according to the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10). Death certificate data are virtually 100% complete because of the legal requirement to report deaths in Korea. The majority (94.9%) of people with cancer of any site as the cause of death were also found to have a record of cancer diagnosis in the medical utilization data [24]. Lung cancer mortality was defined as death due to malignant neoplasm of the trachea, bronchus, and lung (C33 and C34 in the ICD-10).

Statistical analysis

We used descriptive statistics to analyze participants’ characteristics according to lung cancer mortality. Owing to differences in age and sex among patients with and without lung cancer mortality, the baseline characteristics are shown as age- and sex-adjusted means or proportions and 95% CIs.

The primary outcome was lung cancer mortality. Patients who died owing to other causes were censored at the date of death. We also performed sensitivity analyses to minimize subclinical cancer events at baseline by excluding lung cancer mortality within the first 2–4 years of follow-up.

Cox proportional hazards regression analyses were performed to compute hazard ratios (HRs) and 95% CIs for lung cancer mortality. Age was used as the timescale; we considered the age when participants received their first health examination (left truncation) and when they exited the analysis, on the date of their death or on December 31, 2020. This approach effectively controlled for age. The proportional hazards assumption was assessed by analyzing graphs of the estimated log (-log[SURVIVAL]); no violation of the assumption was found.

Models analyzing the association between glycemic status and lung cancer mortality were initially adjusted for age (as the timescale) and sex. Models were then additionally adjusted for potential confounders. These included study center (Seoul or Suwon); screening year; smoking status (never, ever, current smoker, or unknown); regular exercise (< 3, ≥ 3 times/week, or unknown); BMI; education level (< community college graduate, ≥ community college graduate, or unknown); history of hypertension; dyslipidemia medication use; history of chronic obstructive pulmonary disease (COPD); history of asthma; and family history of cancer. Additionally, to evaluate the impact of changes in glycemic status markers and other covariates and potential confounders, between baseline and follow-up, we introduced FBG, HbA1c, HOMA-IR, smoking status, and other potential confounders as time-varying covariates in additional analyses. To test for linear trends, the median value for each category was included as a continuous variable in each model.

Subgroup analyses were performed according to age (< 50 and ≥ 50 years), sex (female and male), and smoking status (never or ever). Interactions between glycemic status categories and subgroup characteristics were tested using likelihood ratio tests to compare models with and without multiplicative interaction terms. We additionally examined the association between diabetes duration and age at diagnosis of diabetes with lung cancer mortality. We also examined the association between waist circumference and lung cancer mortality, as waist circumference is associated with insulin resistance [25].

Statistical analyses were performed using Stata version 17.0 (StataCorp LP, College Station, TX, USA). The reported p values were two-tailed, and p values < 0.05 indicated statistical significance.

Results

The baseline participant characteristics are shown in Table 1. The mean age of participants was 39.9 years (SD, 10.9; median, 37; interquartile range, 31.6–45.4 years). The mean age of participants who died of lung cancer was 59.3 years at baseline, in contrast to 39.9 years in those who did not die of lung cancer during follow-up. Lung cancer mortality was positively associated with older age, male sex, current smoking status, COPD, and asthma and inversely associated with BMI, education level, dyslipidemia medication use, and family history of cancer.

Table 1 Estimateda mean values (95% CI) and adjusteda proportions (95% CI) of baseline characteristics of study participants according to lung cancer mortality (n = 666,888)
Full size table

During 5,681,158 person-years of follow-up, 602 incident lung cancer deaths occurred, and the total lung cancer mortality rate was 10.6 per 105 person-years. The median follow-up duration was 8.3 years (interquartile range, 4.6–12.7; maximum, 15.8 years). After adjustment for age and sex, increased HbA1c and FBG levels and previously diagnosed diabetes were positively associated with lung cancer mortality (Table 2). After adjusting for additional confounders, the associations of increased FBG and HbA1c levels and previously diagnosed diabetes with lung cancer mortality were consistently observed. The multivariable-adjusted HRs (95% CIs) for lung cancer mortality comparing HbA1c categories (5.7–5.9, 6.0–6.4, ≥ 6.5%) and previously diagnosed diabetes with HbA1c < 5.7% as the reference are shown in Table 2.

Table 2 Hazard ratios (95% CIs) for lung cancer mortality by glycemic status (n = 666,888)
Full size table

Insulin resistance defined as HOMA-IR ≥ 2.5 among participants without diabetes also showed a positive association with lung cancer mortality after adjustments for confounders, with a multivariable-adjusted HR (95% CI) of 1.41 (1.13–1.75). The observed associations remained significant in the time-dependent models including glycemic status markers (FBG, HbA1c), insulin resistance, and confounders analyzed as time-varying covariates (Table 2).

In the analysis according to clinically relevant subgroups, there were no significant interactions in associations of HbA1c concentration, FBG level, and insulin resistance with lung cancer mortality (Supplementary Tables S1 and S2).

In the sensitivity analysis excluding lung cancer mortality during the first 2, 3, and 4 years of follow-up, the associations of glycemic status, insulin resistance, and diabetes with lung cancer mortality remained significant (Supplementary Table S3). There was no evidence of increased risk with increasing diabetes duration and age at diagnosis of diabetes with lung cancer mortality (Supplementary Table S4 and S5). We additionally found that abdominal obesity was associated with lung cancer mortality (multivariable-adjusted HR 1.72, 95% CI 1.34–2.22), and that each 1-cm increase in waist circumference was also associated with lung cancer mortality (multivariable-adjusted HR 1.05, 95% CI 1.02–1.07) (Supplementary Table S6).

Discussion

In this retrospective cohort study, hyperglycemia based on both FBG and HbA1c levels was associated with lung cancer mortality risk in a dose–response manner among participants without previously diagnosed diabetes, and the increased risk began within the prediabetes range. Both screen-detected and previously diagnosed diabetes and insulin resistance were independently associated with lung cancer mortality. Our study included the analysis of multiple major confounders and health behaviors, and adjustments for these factors did not materially affect the associations. These associations also remained consistent when temporal changes in glycemic status, insulin resistance, and health behaviors over time during follow-up were treated as time-varying covariates. Moreover, there were no significant interactions among the subgroups, and notably, the association between insulin resistance and lung cancer mortality persisted in never-smokers. Our results suggest that hyperglycemia and insulin resistance are independently associated with lung cancer mortality, even in individuals without diabetes.

Previous studies analyzing the relationship between hyperglycemia in the prediabetes range and lung cancer are scarce [16]. A Japanese cohort study reported that impaired glucose tolerance assessed by the 2-h post-load glucose concentration in the non-diabetes range was associated with lung cancer mortality, but did not adjust for important confounders such as smoking status, and reported a null association for impaired fasting hyperglycemia [16]. Another cohort study reported that increased HbA1c was associated with increased lung cancer risk, although it included diabetes in the analysis by adjusting for it as a confounding variable and did not analyze associations in the prediabetes range [26]. Our study is the first to show that both increased FBG and HbA1c levels in the prediabetes range are associated with lung cancer mortality among individuals without diabetes.

Furthermore, our study is the first to include a cohort of both men and women and show an independent association between insulin resistance and lung cancer mortality among individuals without diabetes. Waist circumference, which is associated with insulin resistance [25], was also associated with lung cancer mortality, consistent with a previous study which showed increased risk of lung cancer mortality with higher waist circumference [27]. A few studies have suggested that insulin resistance is associated with lung cancer risk [28,29,30], yet others failed to show an association with lung cancer mortality [31]. One study reported a positive association between HOMA-IR and lung cancer risk; however, this was a cross-sectional study that did not assess diabetes status [28].

A cohort study reported an increased lung cancer risk in the highest quartile of insulin levels with a similar trend among people without diabetes; however the study included only male smokers and the association was not found in people within higher glucose quartiles [29]. Similarly, a Mendelian randomization study suggested an association between fasting insulin and lung cancer risk [30], whereas another study reported no association between type 2 diabetes and lung cancer risk [32]. In light of these findings, insulin resistance with hyperinsulinemia may be the key factor influencing the association between glycemic status and lung cancer risk. One study that analyzed cancer incidence according to diabetes duration found that cancer incidence peaked along with C-peptide levels at 4–8 years after diabetes diagnosis, whereas with longer durations of diabetes, cancer risk gradually decreased along with C-peptide levels, probably owing to β-cell exhaustion, indicating a role of hyperinsulinemia in cancer development [11]. Insulin resistance plays an important role in the pathogenesis of type 2 diabetes [19]. In addition, glucose-lowering medications show inconsistent associations with lung cancer risk, that is, an apparent decreased risk with metformin [33] and increased risk with insulin and insulin secretagogues, with potential for confounding by indication [34].

Regarding the association between diabetes and lung cancer risk, previous cohort studies have reported inconsistent findings [10, 12], and meta-analyses have reported no significant associations overall in men and increased risk among women [9, 35]. The substantial heterogeneity between the included studies may be responsible for these inconsistencies. The heterogeneity between studies in men was substantial, whereas the heterogeneity between studies in women was low [9, 35]. In our study, there was no significant interaction by sex for the association between glycemic status and insulin resistance and lung cancer mortality, although there were a smaller number of lung cancer deaths in women (123 vs. 479). While previously diagnosed diabetes was associated with increased lung cancer mortality risk, the risk was even stronger in screen-detected diabetes. Other studies have also suggested that cancer risk is highest in the years immediately after diabetes diagnosis, with the potential for reverse causality [10]. Nonetheless, the association between glycemic status, insulin resistance, and lung cancer mortality remained consistent in our sensitivity analysis in which we excluded cancer events during the first 2 to 4 years of follow-up.

Lung cancer is generally diagnosed among older populations; according to a national lung cancer patient registry in Korea, the median age at diagnosis was 70 years [36]. Although we did not have data on lung cancer incidence, the median age at death among participants who died of lung cancer was even lower at 68 years (interquartile range, 60.1 to 74.5 years), probably because our cohort consisted of mostly a young and middle-aged population. Previous studies analyzing young vs. older lung cancer patients reported that younger patients had more advanced stage at diagnosis [37, 38]. The observed higher lung cancer mortality in a relatively young population with hyperglycemia and insulin resistance might be attributed to these later-stage diagnoses. However, further research is necessary, as specific information on cancer stages and incidence rates was not available for this study. Nonetheless, the associations between glucose levels, HbA1c, and insulin resistance with lung cancer mortality did not differ in the subgroup analysis of the age groups < 50 vs. ≥ 50.

Several plausible mechanisms may underlie the association between insulin resistance, glycemic status, and lung cancer mortality. Increased insulin exposure due to insulin resistance or even insulin administration in patients with diabetes may contribute to carcinogenesis [8] through the upregulation of IGF-I activity or downregulation of IGF-binding protein-1 activity [39]. IGF-I is involved in cell proliferation, migration, and apoptosis [40], and IGF-I and IGF-II levels were reportedly found in higher levels in bronchial tissue with high-grade dysplasia than in normal tissue [41]. Insulin also stimulates the Ras signaling pathway, which is important in lung carcinogenesis [42] and may also stimulate local angiogenesis [43] or promote tumor cell growth through insulin receptors on lung cancer cells [44]. In turn, hyperglycemia causes oxidative stress and chronic inflammation, which may cause damage to DNA and the lungs [45], increasing susceptibility to carcinogenesis and promoting cancer proliferation through the induction of epidermal growth factor. Hyperglycemia may also promote tumor invasion and metastasis through upregulation of the transforming growth factor-beta1/phosphoinositide 3-kinase/protein kinase B signaling pathway [46].

Strengths and limitations

Our study included a large longitudinal cohort of mostly young and middle-aged participants free of cancer at baseline, with a long follow-up period and adjustments for multiple confounders. However, our study had some limitations. First, information on the type of diabetes and glucose-lowering medication was unavailable. However, most people in our cohort had type 2 diabetes [6], and the prevalence of type 1 diabetes is reported as only 1.19% of all patients living with diabetes in Korea [47]. In addition, in our study, all previously diagnosed and screen-detected diabetes and insulin resistance, a pathogenic factor for type 2 diabetes, was associated with lung cancer mortality. Second, screen-detected diabetes was identified using a single FBG and HbA1c measurement, whereas guidelines recommend repeated testing for confirmation of diabetes diagnosis. However, HbA1c levels reflect chronic hyperglycemia and exhibit low biological variability [18]. In addition, our main results remained unchanged in participants with screen-detected diabetes identified through both FBG and HbA1c levels, in previously diagnosed diabetes, and in analyses using time-varying covariates that accounted for any change in glucose status between baseline and follow-up. Third, insulin resistance was based on HOMA-IR and not on euglycemic insulin clamp analysis, which is the gold standard method for the assessment of insulin sensitivity. However, HOMA-IR correlates well with hyperinsulinemic–euglycemic insulin clamp data assessing whole-body insulin sensitivity [48], and insulin clamps are impractical in routine health examinations. Fourth, information on lung cancer histology and incident lung cancer was not available. While the association between glycemic status and insulin resistance with lung cancer mortality may differ by the histologic subtype, a previous study reported that the association between insulin levels and lung cancer risk did not differ across histological subtypes [29]. However, other studies reported an association between higher glycemic index and squamous cell carcinoma (SCC) [49], and elevated GLUT1 expression in SCC [50] compared to adenocarcinoma, warranting further studies analyzing the association between glycemic status and lung cancer mortality by histopathology. Regarding lack of lung cancer incidence, because of its short median survival, lung cancer incidence approximates its high mortality [1]. In Korea, the 5-year relative survival rate for lung cancer was low (16.5% in 2001–2005 and 30.2% in 2013–2017) [51]. Hence, similar findings for lung cancer incidence may be expected, although it is not possible to separate the effects of glycemic status on incidence and survival from studies on cancer mortality. The association between diabetes and poor lung cancer prognosis [52] may also have contributed to the associations observed in our study. Lung cancer mortality is likely to represent lung cancer with a poor prognosis; hence we may have missed lung cancer with a more indolent course. Nonetheless, people who developed incident lung cancer during follow-up but did not die would have been categorized into the control group, creating a misclassification bias that would attenuate the strength of the associations observed in our study towards the null. Fifth, although our cohort included available data for multiple confounders, data on risk factors such as occupational exposure and passive smoking were unavailable, and unmeasured or residual confounders could not be excluded. Finally, because our study included young and middle-aged Koreans, the results may not be generalizable to populations with different characteristics.

Conclusions

In conclusion, hyperglycemia and insulin resistance among individuals without diabetes, as well as individuals with previously diagnosed and screen-detected diabetes, were associated with an increased risk of lung cancer mortality, regardless of smoking status. Further studies are required to investigate whether theses associations exist for lung cancer incidence, and whether interventions to treat hyperglycemia and insulin resistance, such as increased physical activity, weight loss, and healthy dietary habits, reduce the incidence and mortality of lung cancer.

Availability of data and materials

The data underlying this article are not available for public distribution as we do not have permission from the IRB. Supporting information or data is available from the corresponding author upon reasonable request.

Abbreviations

BMI:

Body mass index

CI:

Confidence interval

COPD:

Chronic obstructive pulmonary disease

FBG:

Fasting blood glucose

HbA1c:

Hemoglobin A1c

HOMA-IR:

Homeostasis model assessment of insulin resistance

HR:

Hazard ratio

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Acknowledgements

Not applicable.

Clinical trial number

Not applicable.

Funding

This study was supported by the SKKU Excellence in Research Award Research Fund, Sungkyunkwan University (2021). Christopher D. Byrne was supported in part by the Southampton National Institute for Health and Care Research (NIHR) Biomedical Research Centre, UK (IS-BRC-20004).

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Author notes

  1. In Young Cho and Yoosoo Chang contributed equally as co-first authors.

Authors and Affiliations

  1. Department of Family Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-Ro, Jongno-Gu, Seoul, 03181, Republic of Korea

    In Young Cho, Eunju Sung, Jae-Heon Kang & Hocheol Shin

  2. Department of Family Medicine & Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

    In Young Cho

  3. Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, 04514, Republic of Korea

    Yoosoo Chang, Hocheol Shin & Seungho Ryu

  4. Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Samsung Main Building B2, 250 Taepyung-Ro 2Ga, Jung-Gu, Seoul, 04514, Republic of Korea

    Yoosoo Chang & Seungho Ryu

  5. Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul, 06355, Republic of Korea

    In Young Cho, Yoosoo Chang & Seungho Ryu

  6. Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea

    Boyoung Park

  7. Usher Institute, University of Edinburgh, Edinburgh, UK

    Sarah H. Wild

  8. Nutrition and Metabolism, Faculty of Medicine, University of Southampton, Southampton, UK

    Christopher D. Byrne

  9. National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK

    Christopher D. Byrne

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Contributions

Y.C. and S.R. planned, designed, and directed the study. S.R. analyzed the data. E.S. and S.R. supervised the field activities. I.Y.C., Y.C. E.S., J.-H.K., H.S., and S.R. interpreted the results. All authors conducted a literature review and prepared the Research Design and Methods and Discussion sections of the text. I.Y.C. and Y.C. wrote the manuscript. All authors, including C.D.B. and S.H.W., contributed to the critical revision of the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Eunju Sung or Seungho Ryu.

Ethics declarations

Ethics approval and consent to participate

This study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board of Kangbuk Samsung Hospital (IRB no. KBSMC 2022–05-009), which waived the requirement for informed consent because we used a preexisting de-identified dataset of routinely collected data.

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Not applicable.

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The authors declare no competing interests.

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Supplementary Information

40170_2024_344_MOESM1_ESM.docx

Supplementary Material 1: Supplementary Table S1. Hazard ratios (95% CIs) for lung cancer mortality per glucose and HbA1c category in clinically relevant subgroups. Supplementary Table S2. Hazard ratios (95% CIs) for lung cancer mortality by insulin resistance in clinically relevant subgroups. Supplementary Table S3. Hazard ratios (95% CIs) for lung cancer mortality per glucose category in the overall population after excluding lung cancer mortality cases that occurred during the first 2–4 years of the follow-up period. Supplementary Table S4. Hazard ratios (95% CIs) for lung cancer mortality by glycemic status and duration of diabetes (n = 658,973). Supplementary Table S5. Hazard ratios (95% CIs) for lung cancer mortality by glycemic status and age at diabetes diagnosis (n = 658,973). Supplementary Table S6. Hazard ratios (95% CIs) for lung cancer mortality by waist circumference (n = 562,111).

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Cho, I.Y., Chang, Y., Sung, E. et al. Glycemic status, insulin resistance, and mortality from lung cancer among individuals with and without diabetes. Cancer Metab 12, 17 (2024). https://doi.org/10.1186/s40170-024-00344-4

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Keywords

Cancer & Metabolism

ISSN: 2049-3002