Next Article in Journal
An Overview of Short-Bowel Syndrome in Pediatric Patients: Focus on Clinical Management and Prevention of Complications
Next Article in Special Issue
Targeting Non-Alcoholic Fatty Liver Disease with Hawthorn Ethanol Extract (HEE): A Comprehensive Examination of Hepatic Lipid Reduction and Gut Microbiota Modulation
Previous Article in Journal
Infants Fed Breastmilk or 2′-FL Supplemented Formula Have Similar Systemic Levels of Microbiota-Derived Secondary Bile Acids
Previous Article in Special Issue
Low Zinc Alleviates the Progression of Thoracic Aortic Dissection by Inhibiting Inflammation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Positive Association of Serum Vitamin B6 Levels with Intrapulmonary Lymph Node and/or Localized Pleural Metastases in Non-Small Cell Lung Cancer: A Retrospective Study

1
Department of Nutrition, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
2
Department of Respiratory and Critical Medicine, Medical School of Chinese People’s Liberation Army, Beijing 100853, China
3
Department of Radiotherapy, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
4
National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Nutrients 2023, 15(10), 2340; https://doi.org/10.3390/nu15102340
Submission received: 16 April 2023 / Revised: 12 May 2023 / Accepted: 15 May 2023 / Published: 17 May 2023
(This article belongs to the Special Issue Metabolic Features and Nutritional Interventions in Chronic Diseases)

Abstract

:
The relationship between vitamin B levels and the development and progression of lung cancer remains inconclusive. We aimed to investigate the relationship between B vitamins and intrapulmonary lymph nodes as well as localized pleural metastases in patients with non-small cell lung cancer (NSCLC). This was a retrospective study including patients who underwent lung surgery for suspected NSCLC at our institution from January 2016 to December 2018. Logistic regression models were used to evaluate the associations between serum B vitamin levels and intrapulmonary lymph node and/or localized pleural metastases. Stratified analysis was performed according to different clinical characteristics and tumor types. A total of 1498 patients were included in the analyses. Serum vitamin B6 levels showed a positive association with intrapulmonary metastasis in a multivariate logistic regression (odds ratio (OR) of 1.016, 95% confidence interval (CI) of 1.002–1.031, p = 0.021). After multivariable adjustment, we found a high risk of intrapulmonary metastasis in patients with high serum vitamin B6 levels (fourth quartile (Q4) vs. Q1, OR of 1.676, 95%CI of 1.092 to 2.574, p = 0.018, p for trend of 0.030). Stratified analyses showed that the positive association between serum vitamin B6 and lymph node metastasis appeared to be stronger in females, current smokers, current drinkers, and those with a family history of cancer, squamous cell carcinoma, a tumor of 1–3 cm in diameter, or a solitary tumor. Even though serum vitamin B6 levels were associated with preoperative NSCLC upstaging, B6 did not qualify as a useful biomarker due to weak association and wide confidence intervals. Thus, it would be appropriate to prospectively investigate the relationship between serum vitamin B6 levels and lung cancer further.

1. Introduction

Lung cancer is one of the most prevalent malignancies and remains the leading cause of cancer death worldwide [1]. Non-small cell lung cancer (NSCLC) accounts for approximately 85% of lung cancers and represents a significant economic and social burden [2,3]. Tumor–nodes–metastasis (TNM) staging is commonly used to clarify the staging of NSCLC and plays an important role in the treatment and prognosis [4]. However, it is difficult to accurately assess tumor staging preoperatively, as the results are mainly obtained by computed tomography, positron emission tomography, and local biopsy, and they are often incomplete and differ from the final pathological results [4,5,6]. This is mainly due to the challenge of carrying out a comprehensive and accurate preoperative assessment of lymph nodes and localized pleural metastases [7,8,9,10,11].
The B vitamins (including vitamin B1, B2, B6, B9, and B12) play important roles as cofactors in various biological processes, such as tissue metabolism, cellular stress responses, signal transduction pathways, and gene expression regulation [12,13,14]. The relationship between B vitamin levels and the development and progression of lung cancer has been a popular topic, but the results remain inconclusive [15,16,17,18,19,20,21,22]. B vitamins were reported as tumor promoters [15,23,24,25,26], tumor suppressors [19], or being unrelated to carcinogenesis [27,28] in various studies. Meanwhile, there have been few reports on the association of B vitamins with different stages of lung cancer. The present study aimed to investigate the association between B vitamins and intrapulmonary lymph nodes as well as localized pleural metastases in NSCLC patients, and to clarify the association in different populations by stratified analysis.

2. Materials and Methods

2.1. Study Population

This retrospective study was approved by the Ethics Committee of Chinese PLA General Hospital (No. S2022-615-01) and was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was registered in the Chinese Clinical Trial Registry (chictr.org.cn, ChiCTR2300069309). Informed consent was waived for this retrospective analysis. From January 2016 to December 2018, patients who underwent lung surgery in our hospital for suspected NSCLC were screened for inclusion. The inclusion criteria were as follows: (1) age ≥ eighteen years old; (2) preoperatively evaluated for the absence of distant metastasis; (3) lung nodule(s) or mass(es) treated by surgical resection for suspected NSCLC; (4) no chemotherapy, radiotherapy, targeted drug therapy, or immunotherapy prior to surgery; (5) received serum B vitamin testing (fasting for more than eight hours) within three days before surgery; (6) the diets of patients were arranged by the Nutrition Department, and the daily vitamin B6 intake was about 2 mg, which met the Chinese Daily Reference Intake (DRI) recommendations and ensured the uniformity of dietary intake; and (7) no nutritional support therapy or additional nutritional supplements in the past year. The exclusion criteria included: (1) nutritional status score ≥ 1 or total score ≥ 3 in the Nutrition Risk Screening 2002; (2) comorbidities such as uncontrolled diabetes, autoimmune disease, extrapulmonary malignancy, or severe renal or hepatic insufficiency; (3) pregnant female patients during; (4) taking antiepileptics, non-steroidal anti-inflammatory drugs, or oral contraceptives within six months; and/or (5) meeting conditions that the investigator believed may influence vitamin B metabolism. In total, 1498 patients were enrolled in this study.

2.2. Data Collection

Clinical data were collected using the medical record system of our institute, and included age, sex, body mass index (BMI), family history of cancer, marital status, smoking history, alcohol consumption, the season of blood sampling for vitamin testing, educational level, surgical records, pathological findings including diameter and number of tumor(s), lung computed tomography report for the density of tumor(s), and serum levels of vitamins B1, B2, B6, B9, and B12.

2.3. Serum Vitamin Level Testing

We used a vitamin analyzer approved by the Chinese National Medical Products Administration (LK3000V, Tianjin Lanbiao Electronic Technology Development Co., Ltd., Tianjin, China) to detect the serum content of vitamin B1, vitamin B2, vitamin B6, vitamin B9, and vitamin B12 in the form of thionine, riboflavin, pyridoxal 5′ phosphate (PLP), L-5,6,7,8-tetrahydrofolic acid, and cobalamin, respectively. The analyzer enabled the use of an electrochemiluminescence method to deposit the measured substance on the sensor surface; then, the reverse voltage was applied to dissolve the substance accumulated on the sensor and the content was analyzed based on the polarization curve of the dissolution process. The normal thresholds were as follows: vitamin B1, 50–150 nmol/L, vitamin B2, 4.26–18.42 mg/L; vitamin B6, 14.6–72.9 nmol/L; vitamin B9, 6.8–36.3 nmol/L; and vitamin B12, 200–900 pg/mL.

2.4. Intrapulmonary Metastasis Status Classification

We evaluated intrapulmonary lymph nodes and pleural metastases using surgical records and pathology reports. The location and number of metastases were recorded. All the metastatic findings were pathologically confirmed according to the World Health Organization Classification of Thoracic Tumors 2021 [29] and the 8th edition of the Pathological Tumor–Node–Metastasis (pTNM) Staging from the Union for International Cancer Control [4]. Patients were then divided into two groups based on the presence or absence of intrapulmonary metastases.

2.5. Covariates

Based on previous experience and studies [18,23,27,30], clinical characteristics were evaluated as potential confounders of the association between serum vitamin levels and intrapulmonary metastasis status, including age, sex, BMI, family history of cancer, smoking history, alcohol consumption, the season of blood collection for vitamin testing, educational level, and tumor type (pathology, diameter, number, and density).

2.6. Statistical Analyses

Continuous variables are presented as mean ± standard deviation (normal distribution) or median [interquartile range] (non-normal distribution). Categorical variables are presented as numbers and percentages. Quantitative variables were compared between groups using Student’s t-test, analysis of variance, or non-parametric tests, while comparisons of categorical variables between groups were made using chi-squared tests.
Univariate and multivariate logistic regression analyses were used to evaluate the associations between serum vitamin levels and the presence of lung cancer or intrapulmonary metastases. Patients were then divided into four groups by quartiles of the serum vitamins selected by multivariate logistic regression analysis. A stratified analysis was used to examine the vitamin–metastasis association for different levels of factors including: age (<40, 40–60, or >60 years), sex, BMI (<18.5, 18.5–24, or >24 kg/m2), family history of tumors (yes or no), smoking history (never a smoker, ex-smoker, or current smoker), alcohol consumption (yes or no), and the pathology (adenocarcinoma or squamous cell carcinoma), diameter (<1, 1–3, or >3 cm), number (solitary or multiple), and density (solid or subsolid) of the tumor(s). Estimated effects were reported as odds ratios (OR) and 95% confidence intervals (95% CI). The last three quartiles of serum vitamins were each compared to the first quartile with the lowest concentration. Tests for linear trends across serum vitamin quartiles were performed by assigning medians to each quartile and calculating coefficients for the quartile variables. p-values for interactions were also assessed by likelihood ratio tests comparing regression models with and without the cross-product terms for each assessed factor and serum vitamin levels (quartiles).
All analyses were performed in R software (version 4.2.2, The Free Software Foundation, Boston, MA, USA) and IBM SPSS Statistics for Windows, version 26.0 (IBM Corp., Armonk, NY, USA). A two-sided p-value < 0.05 was considered statistically significant for all tests.

3. Results

3.1. Participant Characteristics

A total of 1498 patients with suspected NSCLC who underwent lung surgery were enrolled, of whom 1283 patients had postoperative pathologically confirmed NSCLC and 215 patients had benign pulmonary nodules (Table 1). Compared to patients with benign nodules, NSCLC patients were older (59 years, p < 0.001), had more male patients (49.6%, p = 0.001), larger nodule diameters (p = 0.018), more subsolid nodules (47.4%, p < 0.001), and higher vitamin B6 levels (35.6 nmol/L vs. 32.4 nmol/L, p = 0.023).
In 1283 NSCLC patients, 276 patients had intrapulmonary metastases, including 223 (80.8%) patients with lymph node metastases (metastatic group) and 53 (19.2%) patients with localized pleural metastases (non-metastatic group) (Table 2). Age, BMI, marital status, and the season of blood sampling were similar in both groups. Compared to the non-metastatic group, the metastatic group had more female patients (62.3%, p < 0.001), more patients with no family history of cancer (83.7%, p = 0.044), more current smokers (32.6%, p < 0.001) and current drinkers (35.5%, p = 0.014), more squamous cell carcinoma (21.0%, p < 0.001), a larger tumor size (2.5 [1.8, 3.5] cm vs. 1.5 [1.0, 2.2] cm, p < 0.001), more multiple tumors (19.9%, p < 0.001), and more solid tumors (79.3%, p < 0.001). For serum vitamins, the metastatic group had a higher vitamin B6 level (36.7 nmol/L vs. 35.1 nmol/L, p = 0.037) and a lower vitamin B12 level (p = 0.039) than the non-metastatic group. There were no significant differences in the serum vitamin B1, B2, and B9 levels between the two groups (Table 2).

3.2. Association of Serum B Vitamin Levels with Presence of Lung Cancer

None of the serum B vitamins showed a significant association with the presence of lung cancer in the univariate logistic regression (Table 3). In multivariate analysis, age and a subsolid tumor were positively associated with the presence of lung cancer.

3.3. Association of Serum B Vitamin Levels with Intrapulmonary Metastases

Among the serum B vitamins, only vitamin B6 levels showed a positive association with intrapulmonary metastases in a multivariate logistic regression (OR: 1.016; 95%CI: 1.002–1.031) (Table 4). Other significantly associated factors included: female gender, the diameter and number of the tumors as risk factors, and the density of the tumor as a protective factor. Meanwhile, there were no significant differences in the demographic, clinical, or tumor characteristics of patients in different quartiles for serum vitamin B6, except for those with different smoking histories (p < 0.032) (Table 5).
After multivariable adjustment, the highest quartile (Q4) of serum vitamin B6 was significantly associated with a 67.6% higher risk of metastasis compared with those in the lowest quartile (Q1) (OR = 1.676, 95% CI = 1.092–2.574, p = 0.018), with a p for trend of 0.030 (Table 6). We also evaluated the effect modification of the association between serum vitamin B6 and metastases by age, sex, BMI, family history of cancer, smoking history, alcohol consumption, and the pathology, diameter, number, and density of the tumor(s) (Table 6). The risk association appeared stronger for women (Q4 vs. Q1: OR of 1.968, 95% CI of 1.144 to 3.386, p = 0.014, p for trend = 0.014). Patients with a family history of cancer also appeared to have experienced a stronger association between vitamin B6 and metastasis (Q4 vs. Q1: OR of 5.337, 95% CI of 1.492 to 19.093, p = 0.010, p for trend = 0.010). The association between serum vitamin B6 and intrapulmonary metastasis also appeared to be stronger for current smokers, current drinkers, and patients with squamous cell carcinoma, a tumor of 1–3 cm in diameter, or a solitary tumor (Table 6). Meanwhile, age, sex, smoking history, alcohol consumption, and tumor type (pathology, diameter, number, and density) showed significant interactions with vitamin B6.

4. Discussion

In this retrospective study, we found that serum vitamin B6 levels might be positively associated with intrapulmonary lymph nodes and/or localized pleural metastases in NSCLC patients, and the risk association was stronger for women, current smokers, current drinkers, and patients with squamous cell carcinoma, tumors 1–3 cm in diameter, or a solitary tumor. However, even though serum vitamin B6 levels were associated with preoperative NSCLC upstaging, B6 did not qualify as a useful biomarker due to weak associations and wide confidence intervals. Preoperative vitamin B6 levels might have some value in the preoperative evaluation of intrapulmonary lymph nodes and/or localized pleural metastases in NSCLC; thus, it would be appropriate to prospectively investigate the relationship between serum vitamin B6 levels and lung cancer further.
Vitamin B6 promotes cell growth, differentiation, proliferation, and metastasis [31] and has adjuvant anti-inflammatory and antioxidant effects [32]. Although large cohort studies have been conducted, the association between vitamin B6 intake, blood levels, and catabolic levels with lung cancer remains inconclusive. Vitamin B6 has been implicated as a tumor promoter [15,23,24,25,26], tumor suppressor [19], or being unrelated to carcinogenesis [27,28] in various studies. This contradiction may be attributed to the significant variation in vitamin B6 among populations of different races, diets, lifestyles, and vitamin supplementation habits [33,34]. In our study, we found that patients with lung cancer had higher serum vitamin B6 levels than patients with benign lung nodules, while patients with intrapulmonary metastases had higher serum vitamin B6 levels than non-metastatic patients, i.e., serum vitamin B6 levels increased with increasing tumor status. Theoretically, vitamin B6 could promote tumor cell growth, differentiation, and proliferation, as well as be a risk factor for lung carcinogenesis [35,36]. On the other hand, it could act as an antitumor factor with regard to the inflammatory response caused by tumor cells [37,38,39]. Several studies have shown that vitamin B6 can act as a promotor in tumors by affecting DNA stability [40,41] and the activation of antioxidant enzymes [42,43,44,45], which are involved in the regulation of post-translational modifications of activated proteins. The relationship of vitamin B6 with post-translational modifications of key proteins such as NF-κB [46,47], as well as inflammasomes such as NLRP3 [48,49] and receptor-interacting protein 140 (RIP140) [47,50], has received significant attention. Although there are no specific findings related to the mechanism of vitamin B6 and lung cancer metastasis, we speculated that these two aspects mentioned above together determine the effect of vitamin B6 on tumors. Factors such as demographics and tumor type may play different roles in both aspects, leading to different conclusions. In our study, the positive relationship between vitamin B6 and intrapulmonary metastasis suggests that vitamin B6 may contribute to tumor metastasis in NSCLC patients.
We measured serum PLP as an assessment of vitamin B6 levels. Vitamin B6 consists of pyridoxal (PN), pyridoxamine (PM), pyridoxal (PL), and their phosphorylated derivatives pyridoxal 5’-phosphate (PNP), pyridoxamine 5’-phosphate (PMP), and PLP [51]. PLP is the bioactive form of vitamin B6 in vivo and has been the common measure of vitamin B6 status testing in previous studies [19,38,51,52,53,54]. However, PLP is considered unstable because it may be influenced by inflammatory status, alkaline phosphatase levels, serum albumin, and inorganic phosphate [55]. Recent studies have used plasma vitamer ratios (PAr), calculated as PA:(PLP + PL), to eliminate the influence of the above factors [55,56]. However, PAr requires the simultaneous measurement of three indices, and mainly reflects the catabolism of vitamin B6 in the inflammatory state. In contrast, PLP serves as a representation of the true vitamin B6 levels and can directly reflect the relationship between vitamin B6 and lung cancer. PLP is also more compatible with clinical applications because it requires less blood sampling and is less expensive.
A stratified analysis was performed to clarify the association of vitamin B6 with intrapulmonary metastasis in different populations. We found that the risk association was much stronger in some situations. Vitamin B6 served as a strong risk factor in females, current smokers, current drinkers, and those with a family history of cancer. The study by Fanidi et al. also found a positive trend for elevated PLP levels and lung cancer risk in their cohort of Asian women [19]. In addition, an elevated serum vitamin B6 level, even within the normal range, was a risk factor for those with a family history of cancer, suggesting a possible genetic link might exist between them. Meanwhile, smoking and alcohol consumption are well-known risk factors for lung cancer [15,19]. Vitamin B6 may be associated with smoking-induced inflammation and immune activation, which was also one of the mechanisms related to smoking in lung cancer development [30,57,58].
Interestingly, pathology, tumor size, tumor number, and morphology all seemed to influence the strength of vitamin B6 as a risk factor for intrapulmonary metastasis. Previous studies showed that increased vitamin B6 catabolism was positively associated with the risk of lung carcinogenesis, especially in squamous cell carcinoma [15]. This finding was confirmed in our study. In addition, we found a stronger risk association in patients with a solitary tumor or a tumor 1–3 cm in diameter. A consistent trend toward an increased risk of metastasis with increasing vitamin B6 levels was also found in the subsolid tumor population. These associations have not been previously studied, and the theoretical basis for them remains unclear. In clinical practice, patients with a solitary, subsolid tumor or a tumor 1–3 cm in diameter without metastases are good candidates for surgery. If the vitamin–metastasis association could be confirmed by future studies, vitamin B6 could be of great value in supporting surgical treatment as a preoperative predictor for metastasis assessment.
In this study, we found that age, sex, smoking history, alcohol consumption, and several characteristics of tumors had significant interactions with vitamin B6, respectively. That is, different degrees of the above factors could significantly affect the strength of the association between vitamin B6 and intrapulmonary metastasis. The results of the interaction and stratified analysis further confirmed that women, current smokers, current drinkers, patients with squamous cell carcinoma, those with tumors 1–3 cm in size, and those with a solitary tumor may be a part of the special population whose vitamin B6 levels should be of great concern. In addition, although there was a significant interaction between age and vitamin B6, the p for trend was found to be statistically insignificant (ranging from 0.112 to 0.119), which might be caused by the sample size. Furthermore, there was no significant interaction between family history and vitamin B6, suggesting that the effect of family history on the association should be further investigated.
Tumor staging is crucial in cancer treatment and determines the outcome. The pTNM staging results could not be obtained comprehensively before surgery. Clinical TNM staging might be relatively accurate in evaluating the tumor stage, but are not precise in the evaluation of the nodule and metastasis stage, especially in the early stage of lung cancer. In our study, we found 53 patients (53/1283) who underwent surgery had postoperative confirmation of localized pleural metastases, suggesting that surgical treatment may not be appropriate for them. Vitamin B6 testing may have the potential to improve preoperative TNM staging. Further studies with larger sample sizes are needed to verify the value of vitamin B6 in surgical management.
Notably, the results obtained in this study should be treated with caution. On one hand, the association between lung cancer and vitamins is very complex. Many factors may affect serum vitamin levels, including dietary habits, vitamin supplements, body metabolism, and a variety of complications. In this study, we collected as much nutritional information as possible and excluded conditions that could affect serum vitamins. However, more rigorous prospective studies are necessary to properly research the pathogenetic relationship between vitamin levels in the blood and the occurrence and progression of lung cancer. On the other hand, even though vitamin B6 levels showed positive association with intrapulmonary metastases in NSCLC patients, the relationship was weak, and the confidence intervals overlapped hugely. Thus, the statistically significant difference between groups of patients could not be translated into a predictor on the level of individual patients based on the results of this study. Vitamin B6 levels might have some value in the preoperative evaluation of intrapulmonary metastases in NSCLC, but more research is needed before conclusions can be drawn.
This study had several limitations. First, the sample size of this study was limited. Studies with larger sample sizes are needed for further validation. Second, there may be an interaction between vitamin B6 and tumor metastasis status. The study identified a positive association between vitamin B6 and intrapulmonary metastases, but the cause-and-effect relationship between them was not clear. Third, this study was retrospective; therefore, prospective cohort studies are needed to explore the mechanism of action of vitamin B6 levels and lung cancer. Fourth, we collected as much information as possible about patients’ dietary intake, nutritional status, and nutritional supplementation, but as a retrospective study, nutrition-related clinical information was not sufficiently detailed and might influence the results.

5. Conclusions

In conclusion, our study demonstrated a possible positive association between serum vitamin B6 levels and intrapulmonary lymph nodes and/or localized pleural metastases in NSCLC patients, and the association was stronger in specific populations including women, current smokers, current drinkers, patients with squamous cell carcinoma, those with tumors 1–3 cm in diameter, and those with a solitary tumor. However, B6 did not qualify as a useful biomarker due to weak associations and wide confidence intervals. Preoperative vitamin B6 levels might have some value in the preoperative evaluation of intrapulmonary lymph nodes and/or localized pleural metastases in NSCLC, and thus the relationship between serum vitamin B6 levels and lung cancer should be prospectively investigated in the future.

Author Contributions

Conceptualization, design, supervision, and project administration, Y.L. and L.L.; resources, Q.X., Y.Z. and X.Z.; methodology and investigation, J.B., Z.Y. and L.L.; data analysis, interpretation, and writing—original draft preparation, H.Y. and L.L.; writing—review and editing, Y.L., Q.X., Y.Z., X.Z., J.B. and Z.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Key Project of Chinese Military Health Care Projects, grant number 22BJZ20.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Ethics Committee of Chinese PLA General Hospital (protocol code: No. S2022-615-01, and date of approval: 26 October 2022).

Informed Consent Statement

Patient consent was waived by the Ethics Committee of Chinese PLA General Hospital due to the following reasons: (1) the medical records and biological specimens used were obtained in previous clinical consultations; (2) the risk to the subject of the study was no greater than the minimal risk; (3) subjects’ privacy and personally identifiable information was protected; (4) waiving informed consent or some elements of informed consent did not affect the rights and health of the subject; and (5) no further follow-up of subject information was required.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Siegel, R.L.; Miller, K.D.; Jemal, A. Cancer Statistics, 2017. CA Cancer J. Clin. 2017, 67, 7–30. [Google Scholar] [CrossRef] [PubMed]
  2. Miller, K.D.; Siegel, R.L.; Lin, C.C.; Mariotto, A.B.; Kramer, J.L.; Rowland, J.H.; Stein, K.D.; Alteri, R.; Jemal, A. Cancer treatment and survivorship statistics, 2016. CA Cancer J. Clin. 2016, 66, 271–289. [Google Scholar] [CrossRef] [PubMed]
  3. Minguet, J.; Smith, K.H.; Bramlage, P. Targeted therapies for treatment of non-small cell lung cancer--Recent advances and future perspectives. Int. J. Cancer 2016, 138, 2549–2561. [Google Scholar] [CrossRef] [PubMed]
  4. Goldstraw, P.; Chansky, K.; Crowley, J.; Rami-Porta, R.; Asamura, H.; Eberhardt, W.E.; Nicholson, A.G.; Groome, P.; Mitchell, A.; Bolejack, V.; et al. The IASLC Lung Cancer Staging Project: Proposals for Revision of the TNM Stage Groupings in the Forthcoming (Eighth) Edition of the TNM Classification for Lung Cancer. J. Thorac. Oncol. 2016, 11, 39–51. [Google Scholar] [CrossRef] [PubMed]
  5. Musika, W.; Kamsa-Ard, S.; Jirapornkul, C.; Santong, C.; Phunmanee, A. Lung Cancer Survival with Current Therapies and New Targeted Treatments: A Comprehensive Update from the Srinagarind Hospital-Based Cancer Registry from (2013 to 2017). Asian Pac. J. Cancer Prev. 2021, 22, 2501–2507. [Google Scholar] [CrossRef] [PubMed]
  6. MacMahon, H.; Naidich, D.P.; Goo, J.M.; Lee, K.S.; Leung, A.N.C.; Mayo, J.R.; Mehta, A.C.; Ohno, Y.; Powell, C.A.; Prokop, M.; et al. Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017. Radiology 2017, 284, 228–243. [Google Scholar] [CrossRef] [PubMed]
  7. Bitenc, M.; Cufer, T.; Kern, I.; Miklavcic, M.; Petrovic, S.; Groznik, V.; Sadikov, A. Real-life long-term outcomes of upfront surgery in patients with resectable stage I–IIIA non-small cell lung cancer. Radiol. Oncol. 2022, 56, 346–354. [Google Scholar] [CrossRef]
  8. Solberg, S.; Nilssen, Y.; Terje Brustugun, O.; Magnus Haram, P.; Helland, A.; Moller, B.; Strand, T.E.; Gyrid Freim Wahl, S.; Fjellbirkeland, L. Concordance between clinical and pathology TNM-staging in lung cancer. Lung Cancer 2022, 171, 65–69. [Google Scholar] [CrossRef]
  9. Navani, N.; Fisher, D.J.; Tierney, J.F.; Stephens, R.J.; Burdett, S.; Group, N.M.-a.C. The Accuracy of Clinical Staging of Stage I-IIIa Non-Small Cell Lung Cancer: An Analysis Based on Individual Participant Data. Chest 2019, 155, 502–509. [Google Scholar] [CrossRef]
  10. Zheng, X.; He, B.; Hu, Y.; Ren, M.; Chen, Z.; Zhang, Z.; Ma, J.; Ouyang, L.; Chu, H.; Gao, H.; et al. Diagnostic Accuracy of Deep Learning and Radiomics in Lung Cancer Staging: A Systematic Review and Meta-Analysis. Front. Public Health 2022, 10, 938113. [Google Scholar] [CrossRef]
  11. Zhu, M.; Yang, Z.; Wang, M.; Zhao, W.; Zhu, Q.; Shi, W.; Yu, H.; Liang, Z.; Chen, L. A computerized tomography-based radiomic model for assessing the invasiveness of lung adenocarcinoma manifesting as ground-glass opacity nodules. Respir. Res. 2022, 23, 96. [Google Scholar] [CrossRef] [PubMed]
  12. Kurzius-Spencer, M.; da Silva, V.; Thomson, C.A.; Hartz, V.; Hsu, C.H.; Burgess, J.L.; O’Rourke, M.K.; Harris, R.B. Nutrients in one-carbon metabolism and urinary arsenic methylation in the National Health and Nutrition Examination Survey (NHANES) 2003–2004. Sci. Total Environ. 2017, 607–608, 381–390. [Google Scholar] [CrossRef] [PubMed]
  13. Islam, A.; Shaukat, Z.; Hussain, R.; Gregory, S.L. One-Carbon and Polyamine Metabolism as Cancer Therapy Targets. Biomolecules 2022, 12, 1902. [Google Scholar] [CrossRef] [PubMed]
  14. Lyon, P.; Strippoli, V.; Fang, B.; Cimmino, L. B Vitamins and One-Carbon Metabolism: Implications in Human Health and Disease. Nutrients 2020, 12, 2867. [Google Scholar] [CrossRef]
  15. Brasky, T.M.; White, E.; Chen, C.L. Long-Term, Supplemental, One-Carbon Metabolism-Related Vitamin B Use in Relation to Lung Cancer Risk in the Vitamins and Lifestyle (VITAL) Cohort. J. Clin. Oncol. 2017, 35, 3440–3448. [Google Scholar] [CrossRef]
  16. Vollset, S.E.; Clarke, R.; Lewington, S.; Ebbing, M.; Halsey, J.; Lonn, E.; Armitage, J.; Manson, J.E.; Hankey, G.J.; Spence, J.D.; et al. Effects of folic acid supplementation on overall and site-specific cancer incidence during the randomised trials: Meta-analyses of data on 50,000 individuals. Lancet 2013, 381, 1029–1036. [Google Scholar] [CrossRef]
  17. Fanidi, A.; Carreras-Torres, R.; Larose, T.L.; Yuan, J.M.; Stevens, V.L.; Weinstein, S.J.; Albanes, D.; Prentice, R.; Pettinger, M.; Cai, Q.; et al. Is high vitamin B12 status a cause of lung cancer? Int. J. Cancer 2019, 145, 1499–1503. [Google Scholar] [CrossRef]
  18. Ebbing, M.; Bonaa, K.H.; Nygard, O.; Arnesen, E.; Ueland, P.M.; Nordrehaug, J.E.; Rasmussen, K.; Njolstad, I.; Refsum, H.; Nilsen, D.W.; et al. Cancer incidence and mortality after treatment with folic acid and vitamin B12. JAMA 2009, 302, 2119–2126. [Google Scholar] [CrossRef]
  19. Fanidi, A.; Muller, D.C.; Yuan, J.M.; Stevens, V.L.; Weinstein, S.J.; Albanes, D.; Prentice, R.; Thomsen, C.A.; Pettinger, M.; Cai, Q.; et al. Circulating Folate, Vitamin B6, and Methionine in Relation to Lung Cancer Risk in the Lung Cancer Cohort Consortium (LC3). J. Natl. Cancer Inst. 2018, 110, 57–67. [Google Scholar]
  20. Yang, J.; Li, H.; Deng, H.; Wang, Z. Association of One-Carbon Metabolism-Related Vitamins (Folate, B6, B12), Homocysteine and Methionine with the Risk of Lung Cancer: Systematic Review and Meta-Analysis. Front. Oncol. 2018, 8, 493. [Google Scholar] [CrossRef]
  21. Yan, H.; Jin, X.; Yin, L.; Zhu, C.; Feng, G. Investigating Causal Associations of Circulating Micronutrients Concentrations with the Risk of Lung Cancer: A Mendelian Randomization Study. Nutrients 2022, 14, 4569. [Google Scholar] [CrossRef] [PubMed]
  22. O’Connor, E.A.; Evans, C.V.; Ivlev, I.; Rushkin, M.C.; Thomas, R.G.; Martin, A.; Lin, J.S. Vitamin and Mineral Supplements for the Primary Prevention of Cardiovascular Disease and Cancer: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA 2022, 327, 2334–2347. [Google Scholar] [CrossRef] [PubMed]
  23. Zuo, H.; Ueland, P.M.; Midttun, O.; Tell, G.S.; Fanidi, A.; Zheng, W.; Shu, X.; Xiang, Y.; Wu, J.; Prentice, R.; et al. Vitamin B6 catabolism and lung cancer risk: Results from the Lung Cancer Cohort Consortium (LC3). Ann. Oncol. 2019, 30, 478–485. [Google Scholar] [CrossRef] [PubMed]
  24. Zuo, H.; Ueland, P.M.; Eussen, S.J.; Tell, G.S.; Vollset, S.E.; Nygard, O.; Midttun, O.; Meyer, K.; Ulvik, A. Markers of vitamin B6 status and metabolism as predictors of incident cancer: The Hordaland Health Study. Int. J. Cancer 2015, 136, 2932–2939. [Google Scholar] [CrossRef]
  25. Zuo, H.; Ueland, P.M.; Midttun, O.; Vollset, S.E.; Tell, G.S.; Theofylaktopoulou, D.; Travis, R.C.; Boutron-Ruault, M.C.; Fournier, A.; Severi, G.; et al. Results from the European Prospective Investigation into Cancer and Nutrition Link Vitamin B6 Catabolism and Lung Cancer Risk. Cancer Res. 2018, 78, 302–308. [Google Scholar] [CrossRef]
  26. Meyer, H.E.; Willett, W.C.; Fung, T.T.; Holvik, K.; Feskanich, D. Association of High Intakes of Vitamins B6 and B12 from Food and Supplements with Risk of Hip Fracture Among Postmenopausal Women in the Nurses’ Health Study. JAMA Netw. Open 2019, 2, e193591. [Google Scholar] [CrossRef]
  27. Takata, Y.; Shu, X.O.; Buchowski, M.S.; Munro, H.M.; Wen, W.; Steinwandel, M.D.; Hargreaves, M.K.; Blot, W.J.; Cai, Q. Food intake of folate, folic acid and other B vitamins with lung cancer risk in a low-income population in the Southeastern United States. Eur. J. Nutr. 2020, 59, 671–683. [Google Scholar] [CrossRef]
  28. Obeid, R.; Pietrzik, K.; Smoking, B. Vitamins, and Lung Cancer: The Chicken or the Egg Causality Dilemma. J. Clin. Oncol. 2018, 36, 626–627. [Google Scholar] [CrossRef]
  29. Board WCoTE. World Health Organization Classification of Tumours, Volume 5: Thoracic Tumours, 5th ed.; IARC Press: Lyon, France, 2021; Available online: https://tumourclassification.iarc.who.int/ (accessed on 15 April 2023).
  30. Lu, X.; Ma, L.; Yin, X.; Ji, H.; Qian, Y.; Zhong, S.; Yan, A.; Zhang, Y. The impact of tobacco exposure on tumor microenvironment and prognosis in lung adenocarcinoma by integrative analysis of multi-omics data. Int. Immunopharmacol. 2021, 101, 108253. [Google Scholar] [CrossRef]
  31. Parra, M.; Stahl, S.; Hellmann, H. Vitamin B(6) and Its Role in Cell Metabolism and Physiology. Cells 2018, 7, 84. [Google Scholar] [CrossRef]
  32. Bird, R.P. The Emerging Role of Vitamin B6 in Inflammation and Carcinogenesis. Adv. Food Nutr. Res. 2018, 83, 151–194. [Google Scholar] [PubMed]
  33. Midttun, O.; Theofylaktopoulou, D.; McCann, A.; Fanidi, A.; Muller, D.C.; Meyer, K.; Ulvik, A.; Zheng, W.; Shu, X.O.; Xiang, Y.B.; et al. Circulating concentrations of biomarkers and metabolites related to vitamin status, one-carbon and the kynurenine pathways in US, Nordic, Asian, and Australian populations. Am. J. Clin. Nutr. 2017, 105, 1314–1326. [Google Scholar] [CrossRef] [PubMed]
  34. Theofylaktopoulou, D.; Midttun, O.; Ueland, P.M.; Meyer, K.; Fanidi, A.; Zheng, W.; Shu, X.O.; Xiang, Y.B.; Prentice, R.; Pettinger, M.; et al. Impaired functional vitamin B6 status is associated with increased risk of lung cancer. Int. J. Cancer 2018, 142, 2425–2434. [Google Scholar] [CrossRef] [PubMed]
  35. Stach, K.; Stach, W.; Augoff, K. Vitamin B6 in Health and Disease. Nutrients 2021, 13, 3229. [Google Scholar] [CrossRef]
  36. Calderon-Ospina, C.A.; Nava-Mesa, M.O.; Paez-Hurtado, A.M. Update on Safety Profiles of Vitamins B1, B6, and B12: A Narrative Review. Ther. Clin. Risk Manag. 2020, 16, 1275–1288. [Google Scholar] [CrossRef]
  37. Federico, A.; Morgillo, F.; Tuccillo, C.; Ciardiello, F.; Loguercio, C. Chronic inflammation and oxidative stress in human carcinogenesis. Int. J. Cancer 2007, 121, 2381–2386. [Google Scholar] [CrossRef]
  38. Elinav, E.; Nowarski, R.; Thaiss, C.A.; Hu, B.; Jin, C.; Flavell, R.A. Inflammation-induced cancer: Crosstalk between tumours, immune cells and microorganisms. Nat. Rev. Cancer 2013, 13, 759–771. [Google Scholar] [CrossRef]
  39. Merigliano, C.; Mascolo, E.; Burla, R.; Saggio, I.; Verni, F. The Relationship between Vitamin B6, Diabetes and Cancer. Front. Genet. 2018, 9, 388. [Google Scholar] [CrossRef]
  40. Myte, R.; Gylling, B.; Haggstrom, J.; Schneede, J.; Magne Ueland, P.; Hallmans, G.; Johansson, I.; Palmqvist, R.; Van Guelpen, B. Untangling the role of one-carbon metabolism in colorectal cancer risk: A comprehensive Bayesian network analysis. Sci. Rep. 2017, 7, 43434. [Google Scholar] [CrossRef]
  41. Selhub, J.; Byun, A.; Liu, Z.; Mason, J.B.; Bronson, R.T.; Crott, J.W. Dietary vitamin B6 intake modulates colonic inflammation in the IL10-/- model of inflammatory bowel disease. J. Nutr. Biochem. 2013, 24, 2138–2143. [Google Scholar] [CrossRef]
  42. Quail, D.F.; Joyce, J.A. Microenvironmental regulation of tumor progression and metastasis. Nat. Med. 2013, 19, 1423–1437. [Google Scholar] [CrossRef] [PubMed]
  43. Tape, C.J.; Ling, S.; Dimitriadi, M.; McMahon, K.M.; Worboys, J.D.; Leong, H.S.; Norrie, I.C.; Miller, C.J.; Poulogiannis, G.; Lauffenburger, D.A.; et al. Oncogenic KRAS Regulates Tumor Cell Signaling via Stromal Reciprocation. Cell 2016, 165, 910–920. [Google Scholar] [CrossRef]
  44. Biswas, S.K. Does the Interdependence between Oxidative Stress and Inflammation Explain the Antioxidant Paradox? Oxid. Med. Cell. Longev. 2016, 2016, 5698931. [Google Scholar] [CrossRef] [PubMed]
  45. Halliwell, B. The antioxidant paradox. Lancet 2000, 355, 1179–1180. [Google Scholar] [CrossRef] [PubMed]
  46. Jain, S.S.; Bird, R.P. Elevated expression of tumor necrosis factor-alpha signaling molecules in colonic tumors of Zucker obese (fa/fa) rats. Int. J. Cancer 2010, 127, 2042–2050. [Google Scholar] [CrossRef] [PubMed]
  47. Hu, Y.C.; Yi, Z.J.; Zhou, Y.; Li, P.Z.; Liu, Z.J.; Duan, S.G.; Gong, J.P. Overexpression of RIP140 suppresses the malignant potential of hepatocellular carcinoma by inhibiting NF-kappaB-mediated alternative polarization of macrophages. Oncol. Rep. 2017, 37, 2971–2979. [Google Scholar] [CrossRef] [PubMed]
  48. Lin, C.; Zhang, J. Inflammasomes in Inflammation-Induced Cancer. Front. Immunol. 2017, 8, 271. [Google Scholar] [CrossRef] [PubMed]
  49. Zhang, P.; Tsuchiya, K.; Kinoshita, T.; Kushiyama, H.; Suidasari, S.; Hatakeyama, M.; Imura, H.; Kato, N.; Suda, T. Vitamin B6 Prevents IL-1beta Protein Production by Inhibiting NLRP3 Inflammasome Activation. J. Biol. Chem. 2016, 291, 24517–24527. [Google Scholar] [CrossRef]
  50. Huq, M.D.; Wei, L.N. Post-translational modification of nuclear co-repressor receptor-interacting protein 140 by acetylation. Mol. Cell. Proteom. 2005, 4, 975–983. [Google Scholar] [CrossRef]
  51. Huang, S.C.; Wei, J.C.; Lin, P.T.; Wu, D.J.; Huang, Y.C. Plasma pyridoxal 5′-phosphate is not associated with inflammatory and immune responses after adjusting for serum albumin in patients with rheumatoid arthritis: A preliminary study. Ann. Nutr. Metab. 2012, 60, 83–89. [Google Scholar] [CrossRef]
  52. Campbell, B.M.; Charych, E.; Lee, A.W.; Moller, T. Kynurenines in CNS disease: Regulation by inflammatory cytokines. Front. Neurosci. 2014, 8, 12. [Google Scholar] [CrossRef] [PubMed]
  53. Ciorba, M.A. Kynurenine pathway metabolites: Relevant to vitamin B-6 deficiency and beyond. Am. J. Clin. Nutr. 2013, 98, 863–864. [Google Scholar] [CrossRef]
  54. Di Salvo, M.L.; Safo, M.K.; Contestabile, R. Biomedical aspects of pyridoxal 5′-phosphate availability. Front. Biosci. Elite Ed. 2012, 4, 897–913. [Google Scholar] [PubMed]
  55. Ueland, P.M.; Ulvik, A.; Rios-Avila, L.; Midttun, O.; Gregory, J.F. Direct and Functional Biomarkers of Vitamin B6 Status. Ann. Rev. Nutr. 2015, 35, 33–70. [Google Scholar] [CrossRef] [PubMed]
  56. Ulvik, A.; Midttun, O.; Pedersen, E.R.; Eussen, S.J.; Nygard, O.; Ueland, P.M. Evidence for increased catabolism of vitamin B-6 during systemic inflammation. Am. J. Clin. Nutr. 2014, 100, 250–255. [Google Scholar] [CrossRef] [PubMed]
  57. Shiels, M.S.; Katki, H.A.; Freedman, N.D.; Purdue, M.P.; Wentzensen, N.; Trabert, B.; Kitahara, C.M.; Furr, M.; Li, Y.; Kemp, T.J.; et al. Cigarette smoking and variations in systemic immune and inflammation markers. J. Natl. Cancer Inst. 2014, 106, dju294. [Google Scholar] [CrossRef]
  58. Zhang, H.; Zhang, G.; Zhang, J.; Xiao, M.; Cui, S.; Wu, S.; Jin, C.; Yang, J.; Lu, X. Transcription factor SP1 and oncoprotein PPP1R13L regulate nicotine-induced epithelial-mesenchymal transition in lung adenocarcinoma via a feedback loop. Biochem. Pharmacol. 2022, 206, 115344. [Google Scholar] [CrossRef]
Table 1. Basic characteristics of all patients enrolled in this study.
Table 1. Basic characteristics of all patients enrolled in this study.
CharacteristicsAll Patients
(n = 1498)
Patients with Non-Small Cell Lung CancerPatients with Benign Lung Nodulep-Value
(n = 1283)(n = 215)
Age (year), median [IQR]58 [53, 64]59 [51, 65]52 [48, 55]<0.001
Sex
  Male, N (%)717 (47.9)636 (49.6)81 (37.7)0.001
  Female, N (%)781 (52.1)647 (50.4)134 (62.3)
BMI (kg/m2), median [IQR]24.4 [22.3, 26.8]24.4 [22.5, 26.6]24.9 [22.7, 27.3]0.323
Family history of cancer
  No, N (%)1188 (79.3)1018 (79.3)170 (79.1)0.926
  Yes, N (%)310 (20.7)265 (20.7)45 (20.9)
Marital status
  Married, N (%)1466 (97.9)1256 (97.9)210 (97.7)0.514
  Never married, N (%)8 (0.5)6 (0.5)2 (0.9)
  Divorced or widowed, N (%)24 (1.6)21 (1.6)3 (1.4)
Smoking history
  Never a smoker, N (%)937 (62.6)807 (62.9)130 (60.5)0.308
  Ex-smoker, N (%)207 (13.8)182 (14.2)25 (11.6)
  Current smoker, N (%)354 (23.6)294 (22.9)60 (27.9)
Alcohol consumption
  No, N (%)1042 (69.6)904 (70.5)138 (64.2)0.064
  Yes, N (%)456 (30.4)379 (29.5)77 (35.8)
Season of blood sampling for vitamin testing
  June–September, N (%)616 (41.1)529 (41.2)87 (40.5)0.833
  Other, N (%)882 (58.9)754 (58.8)128 (59.5)
Educational level
  No greater than elementary school, N (%)203 (13.5)179 (14.0)24 (11.2)0.985
  High school graduation, N (%)693 (46.3)585 (45.6)108 (50.2)
  University or postgraduate graduation, N (%)602 (40.2)519 (40.5)83 (38.6)
Diameter of tumor (cm), median [IQR]1.5 [1.0, 2.4]1.6 [1.0, 2.5]1.5 [0.9, 2.4]0.018
Number of tumor(s)
  Solitary, N (%)1405 (93.8)1197 (93.3)208 (96.7)0.053
  Multiple, N (%)93 (6.2)86 (6.7)7 (3.3)
Density of tumor
  Solid, N (%)854 (57.0)675 (52.6)179 (83.3)<0.001
  Subsolid, N (%)644 (43.0)608 (47.4)3 6(16.7)
Serum vitamin levels
  Vitamin B1, nmol/L88.3 [75.2, 108.2]88.3 [77.9, 104.1]88.8 [73.5, 108.6]0.685
  Vitamin B2, mg/L4.5 [4.0, 5.1]4.5 [4.1, 5.1]4.6 [4.1, 5.3]0.538
  Vitamin B6, nmol/L35.1 [29.3, 39.8]35.6 [30.2, 40.4]32.4 [25.8, 38.5]0.023
  Vitamin B9, nmol/L20.4 [16.6, 24.5]20.4 [17.4, 24.0]20.8 [17.5, 24.2]0.643
  Vitamin B12, pg/mL432.4 [348.2, 519.5]434.8 [360.4, 529.3]423.7 [326.6, 537.2]0.688
IQR, interquartile range; BMI, body mass index.  p-value based on non-parametric test (continuous variable).  p-value based on chi-squared test (categorical variable).
Table 2. Basic characteristics of NSCLC patients in this study.
Table 2. Basic characteristics of NSCLC patients in this study.
CharacteristicsTotal
(n = 1283)
Patients with Intrapulmonary MetastasesPatients without Intrapulmonary Metastasesp-Value
(n = 276)(n = 1007)
Age (year), median [IQR]59 [51, 65]59 [52, 65]59 [51, 65]0.800
Sex
  Male, N (%)636 (49.6)104 (37.7)532 (52.8)<0.001
  Female, N (%)647 (50.4)172 (62.3)475 (47.2)
BMI (kg/m2), median [IQR]24.4 [22.5, 26.6]24.4 [22.1, 26.9]24.4 [22.5, 26.5]0.909
Family history of cancer
  No, N (%)1018 (79.3)231 (83.7)787 (78.2)0.044
  Yes, N (%)265 (20.7)45 (16.3)220 (21.8)
Marital status
  Married, N (%)1256 (97.9)270 (97.8)985 (97.9)0.919
  Never married, N (%)6 (0.5)1 (0.4)5 (0.5)
  Divorced or widowed, N (%)21 (1.6)5 (1.8)16 (1.6)
Smoking history
  Never a smoker, N (%)807 (62.9)134 (48.6)673 (66.8)<0.001
  Ex-smoker, N (%)182 (14.2)52 (18.8)130 (12.9)
  Current smoker, N (%)294 (22.9)90 (32.6)204 (20.3)
Alcohol consumption
  No, N (%)904 (70.5)178 (64.5)726 (72.1)0.014
  Yes, N (%)379 (29.5)98 (35.5)281 (27.9)
Season of blood sampling for vitamin testing
  June–September, N (%)529 (41.2)126 (45.7)403 (40.0)0.092
  Other, N (%)754 (58.8)150 (54.3)604 (60.0)
Educational level
  No greater than elementary school, N (%)179 (14.0)42 (15.2)137 (13.6)0.007
  High school graduation, N (%)585 (45.6)145 (52.5)440 (43.7)
  University or postgraduate graduation, N (%)519 (40.5)89 (32.2)430 (42.7)
Pathology of tumor
  Adenocarcinoma, N (%)1125 (87.7)218 (79.0)907 (90.1)<0.001
  Squamous cell carcinoma, N (%)158 (12.3)58 (21.0)100 (9.9)
Intrapulmonary metastasis
  Lymph node, N (%)223 (17.5)223 (80.8) NA §
  Localized pleura, N (%)53 (4.1)53 (19.2)
  None, N (%)1007 (78.4) 1007 (100)
Diameter of tumor (cm), median [IQR]1.6 [1.0, 2.5]2.5 [1.8, 3.5]1.5 [1.0, 2.2]<0.001
Number of tumor(s)
  Solitary, N (%)1197 (93.3)221 (80.1)976 (96.9)<0.001
  Multiple, N (%)86 (6.7)55 (19.9)31 (3.1)
Density of tumor
  Solid, N (%)675 (52.6)219 (79.3)456 (45.3)<0.001
  Subsolid, N (%)608 (47.4)57 (20.7)551 (54.7)
Serum vitamin levels
  Vitamin B1, nmol/L88.3 [77.9, 104.1]89.3 [77.7, 108.6]88.1 [78.0, 102.7]0.237
  Vitamin B2, mg/L4.5 [4.1, 5.1]4.6 [4.2, 5.2]4.5 [4.1, 5.1]0.162
  Vitamin B6, nmol/L35.6 [30.2, 40.4]36.7 [30.5, 42.0]35.1 [30.2, 40.2]0.037
  Vitamin B9, nmol/L20.4 [17.4, 24.0]20.2 [17.1, 24.5]20.5 [17.5, 23.9]0.929
  Vitamin B12, pg/mL434.8 [360.4, 529.3]418.2 [340.6, 532.3]437.8 [365.7, 527.4]0.039
IQR, interquartile range; BMI, body mass index.  p-value based on non-parametric test (continuous variable).  p-value based on chi-squared test (categorical variable). § used for grouping, not for comparison between groups.
Table 3. Association between clinical characteristics and presence of lung cancer in all patients.
Table 3. Association between clinical characteristics and presence of lung cancer in all patients.
CharacteristicsUnivariate AnalysisMultivariate Analysis
OR (95% CI)p-ValueOR (95% CI)p-Value
Age, year (continuous)1.060 (1.044, 1.076)<0.0011.073 (1.056, 1.090)<0.001
Female (vs. male)0.615 (0.457, 0.827)0.001
BMI, kg/m2 (continuous)0.976 (0.931, 1.023)0.305
Family history of cancer (vs. none)0.983 (0.689, 1.403)0.926
Married (vs. other)1.419 (0.499, 4.041)0.512
Current smoker (vs. never a smoker and ex-smoker)0.903 (0.764, 1.068)0.232
Current drinker (vs. not)0.751 (0.555, 1.018)0.065
Blood sampling in Jun–Sep (vs. other)0.969 (0.722, 1.300)0.833
High educational level (vs. low)0.980 (0.793, 1.211)0.852
Diameter of tumor, cm (continuous)1.086 (0.973, 1.212)0.143
Multiple tumors (vs. solitary tumor)2.135 (0.974, 4.677)0.058
Subsolid tumor (vs. solid tumor)4.479 (3.080, 6.513)<0.0015.690 (3.850, 8.408)<0.001
Serum vitamin levels
  Vitamin B1 (continuous)0.999 (0.992, 1.005)0.728
  Vitamin B2 (continuous)0.985 (0.911, 1.065)0.711
  Vitamin B6 (continuous)1.009 (0.944, 1.024)0.251
  Vitamin B9 (continuous)0.995 (0.968, 1.023)0.731
  Vitamin B12 (continuous)1.000 (0.999, 1.001)0.759
OR, odds ratio; 95% CI, 95% confidence interval; BMI: body mass index.
Table 4. Association between clinical characteristics and presence of intrapulmonary metastases in NSCLC patients.
Table 4. Association between clinical characteristics and presence of intrapulmonary metastases in NSCLC patients.
CharacteristicsUnivariate AnalysisMultivariate Analysis
OR (95% CI)p-ValueOR (95% CI)p-Value
Age, year (continuous)1.003 (0.989, 1.017)0.703
Female (vs. male)1.852 (1.410, 2.434)<0.0011.439 (1.039, 1.993)0.028
BMI, kg/m2 (continuous)1.006 (0.963, 1.051)0.786
Family history of cancer (vs. none)0.697 (0.490, 0.991)0.045
Married (vs. other)1.181 (0.481, 2.903)0.716
Current smoker (vs. never a smoker and ex-smoker)1.511 (1.298, 1.759)<0.001
Current drinker (vs. not)1.422 (1.073, 1.887)0.014
Blood sampling in Jun–Sep (vs. other)0.794 (0.607, 1.039)0.093
High educational level (vs. low)0.778 (0.643, 0.942)0.010
Squamous cell carcinoma (vs. adenocarcinoma)2.413 (1.691, 3.444)<0.001
Diameter of tumor, cm (continuous)1.686 (1.530, 1.859)<0.0011.495 (1.337, 1.672)<0.001
Multiple tumors (vs. solitary tumor)7.835 (4.928, 12.459)<0.00126.004 (14.517, 46.580)<0.001
Subsolid tumor (vs. solid tumor)0.215 (0.157, 0.296)<0.0010.220 (0.142, 0.342)<0.001
Serum vitamin levels
Vitamin B1 (continuous)1.004 (0.999, 1.010)0.134
Vitamin B2 (continuous)1.013 (0.943, 1.088)0.725
Vitamin B6 (continuous)1.016 (1.004, 1.028)0.0101.016 (1.002, 1.031)0.021
Vitamin B9 (continuous)1.004 (0.979, 1.030)0.729
Vitamin B12 (continuous)0.999 (0.998, 1.000)0.074
OR, odds ratio; 95% CI, 95% confidence interval; BMI: body mass index.
Table 5. Characteristics of NSCLC patients by quartile of serum vitamin B6 in this study.
Table 5. Characteristics of NSCLC patients by quartile of serum vitamin B6 in this study.
CharacteristicsSerum Vitamin B6 Quartilep-Value
Q1Q2Q3Q4
(n = 322)(n = 320)(n = 321)(n = 320)
Age (year), median [IQR]59 [51, 64]59 [51, 66]58 [50, 64]59 [53, 66]0.369
Sex
  Male, N (%)162 (50.3)165 (51.6)158 (49.2)151 (47.2)0.724
  Female, N (%)160 (49.7)155 (48.4)163 (50.8)169 (52.8)
BMI (kg/m2), median [IQR]24.5 [22.2, 26.5]24.5 [22.6, 26.6]24.3 [22.7, 26.5]24.3 [22.3, 26.6]0.835
Family history of cancer
  No, N (%)245 (76.1)254 (79.4)257 (80.1)262 (81.9)0.329
  Yes, N (%)77 (23.9)66 (20.6)64 (19.9)58 (18.1)
Smoking history
  Never a smoker, N (%)198 (61.5)207 (64.7)209 (65.1)193 (60.3)0.032
  Ex-smoker, N (%)47 (14.6)39 (12.2)33 (10.3)63 (19.7)
  Current smoker, N (%)77 (23.9)74 (23.1)79 (24.6)64 (20.0)
Alcohol consumption
  No, N (%)228 (70.8)222 (69.4)242 (75.4)212 (66.3)0.083
  Yes, N (%)94 (29.2)98 (30.6)79 (24.6)108 (33.8)
Pathology of tumor
  Adenocarcinoma, N (%)282 (87.6)282 (88.1)285 (88.8)276 (86.3)0.794
  Squamous cell carcinoma, N (%)40 (12.4)38 (11.9)36 (11.2)44 (13.8)
Diameter of tumor (cm), median [IQR]1.6 [1.0, 2.5]1.5 [1.0, 2.5]1.5 [1.0, 2.5]1.8 [1.0, 2.7]0.277
Number of tumor(s)
  Solitary, N (%)297 (92.2)305 (95.3)304 (94.7)291 (90.9)0.089
  Multiple, N (%)25 (7.8)15 (4.7)17 (5.3)29 (9.1)
Density of the tumor
  Solid, N (%)176 (54.7)166 (51.9)166 (51.7)167 (52.2)0.864
  Subsolid, N (%)146 (45.3)154 (48.1)155 (48.3)153 (47.8)
IQR, interquartile range; BMI, body mass index; Q, quartile of vitamin B6.  p-value based on non-parametric test (continuous variable).  p-value based on chi-squared test (categorical variable).
Table 6. Multivariable-adjusted odds ratios and 95% confidence intervals of intrapulmonary metastases by quartile of serum vitamin B6, stratified by age, sex, BMI, family history of cancer, smoking history, alcohol consumption, tumor pathology and characteristics in NSCLC patients in this study *.
Table 6. Multivariable-adjusted odds ratios and 95% confidence intervals of intrapulmonary metastases by quartile of serum vitamin B6, stratified by age, sex, BMI, family history of cancer, smoking history, alcohol consumption, tumor pathology and characteristics in NSCLC patients in this study *.
Stratified CharacteristicsVit B6 (μmol/L) (in Quartiles)p for Trend p for Interaction §
Q1Q2Q3Q4
(n = 322)(n = 320)(n = 321)(n = 320)
All patients(n = 1283)OR1.0 (Ref)1.208 (0.775, 1.885)1.123 (0.717, 1.759)1.676 (1.092, 2.574)0.030
p-value 0.4040.6120.018
Age, y<40 (n = 43)OR1.0 (Ref) NA NA NA NA 0.032
p-value
40 to 60 (n = 693)OR1.0 (Ref) 1.432 (0.769, 2.669)1.130 (0.593, 2.152)1.803 (0.978, 3.325)0.112
p-value 0.2580.7110.059
>60 (n = 547)OR1.0 (Ref) 1.172 (0.602, 2.283)1.084 (0.549, 2.137)1.738 (0.914, 3.305)0.119
p-value 0.640 0.8170.092
SexMale (n = 636)OR1.0 (Ref) 0.966 (0.473, 1.946)0.731 (0.338, 1.579)1.172 (0.569, 2.414)0.838<0.001
p-value 0.9260.4250.667
Female (n = 647)OR1.0 (Ref) 1.252 (0.704, 2.229)1.404 (0.799, 2.466)1.968 (1.144, 3.386)0.014
p-value 0.4440.2380.014
BMI, kg/m2<18.5 (n = 11)OR1.0 (Ref) NA NA NA NA 0.527
p-value
18.5 to 24.0 (n = 553)OR1.0 (Ref) 1.478 (0.749, 2.917)0.949 (0.472, 1.909)1.947 (0.999, 3.793)0.137
p-value 0.260 0.8840.050
>24.0 (n = 719)OR1.0 (Ref) 1.025 (0.560, 1.873)1.245 (0.683, 2.271)1.633 (0.920, 2.898)0.069
p-value 0.9370.4740.094
Family history of cancerNo (n = 1018)OR1.0 (Ref) 0.997 (0.614, 1.618)0.847 (0.515, 1.393)1.375 (0.865, 2.185)0.2520.846
p-value † 0.9890.5130.179
Yes (n = 265)OR1.0 (Ref) 4.176 (1.151, 15.146)4.646 (1.377, 15.674)5.337 (1.492, 19.093)0.010
p-value 0.0300.013 0.010
Smoking historyNever a smoker (n = 807)OR1.0 (Ref) 1.428 (0.754, 2.704)1.257 (0.653, 2.421)1.356 (0.709, 2.593)0.476<0.001
p-value 0.2740.4940.357
Ex-smoker (n = 182)OR1.0 (Ref) 1.684 (0.564, 5.026)0.528 (0.138, 2.022)1.810 (0.694, 4.722)0.393
p-value 0.350 0.3510.225
Current smoker (n = 294)OR1.0 (Ref) 0.697 (0.298, 1.630)1.211 (0.555, 2.642)2.462 (1.104, 5.491)0.016
p-value 0.4050.6310.028
Alcohol consumptionNever a drinker (n = 904)OR1.0 (Ref) 1.441 (0.837, 2.483)0.818 (0.463, 1.445)1.371 (0.797, 2.358)0.642<0.001
p-value 0.1880.4880.254
Current drinker (n = 379)OR1.0 (Ref) 0.800 (0.357, 1.793)2.159 (1.008, 4.628)2.163 (1.041, 4.492)0.006
p-value 0.5880.0480.039
Pathology of tumorAdenocarcinoma (n = 1125)OR1.0 (Ref) 1.124 (0.682, 1.853)1.193 (0.725, 1.962)1.360 (0.836, 2.214)0.211<0.001
p-value 0.6450.4870.216
Squamous cell carcinoma (n = 158)OR1.0 (Ref) 1.523 (0.519, 4.470)0.761 (0.248, 2.333)3.933 (1.421, 10.888)0.024
p-value 0.4440.6330.008
Diameter of tumor, cm<1 (n = 370)OR1.0 (Ref) 0.339 (0.031, 3.656)0.450 (0.055, 3.659)1.069 (0.183, 6.262)0.898<0.001
p-value 0.3730.4550.941
1–3 (n = 731)OR1.0 (Ref) 1.661 (0.944, 2.923)1.759 (1.000, 3.094)2.152 (1.233, 3.755)0.009
p-value 0.0780.050 0.007
>3 (n = 182)OR1.0 (Ref) 0.684 (0.279, 1.679)0.455 (0.180, 1.149)1.406 (0.605, 3.265)0.645
p-value 0.4080.0960.429
Number of tumor(s)Solitary (n = 1197)OR1.0 (Ref) 1.205 (0.752, 1.932)1.156 (0.719, 1.859)1.664 (1.051, 2.636)0.043<0.001
p-value 0.4390.5480.030
Multiple (n = 86)OR1.0 (Ref) 1.058 (0.225, 4.985)0.578 (0.118, 2.826)1.319 (0.327, 5.323)0.776
p-value 0.9430.4990.698
Density of tumorSolid (n = 675)OR1.0 (Ref) 1.251 (0.760, 2.059)1.048 (0.634, 1.730)1.519 (0.932, 2.477)0.167<0.001
p-value 0.3790.8560.094
Subsolid (n = 608)OR1.0 (Ref)1.113 (0.388, 3.191)1.628 (0.559, 4.743)2.468 (0.963, 6.325)0.038
p-value 0.8420.3720.060
OR, odds ratio; Q, quartile of vitamin B6; BMI, body mass index. * Adjusted for factors including age, sex, BMI, family history of cancer, smoking history, alcohol consumption, season of blood sampling for serum vitamin testing, educational level, pathology, and tumor type (diameter, number, and density), unless the factor is used for stratification. Q2–Q4 of serum vitamin B6 are each compared with Q1.  p for trend is based on the statistical significance of the coefficient of the quartile variable (median value within each quartile). § p for interaction is based on the statistical significance of the cross-product term added to multivariable models. not enough data for stratified analysis.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Liu, L.; Yu, H.; Bai, J.; Xu, Q.; Zhang, Y.; Zhang, X.; Yu, Z.; Liu, Y. Positive Association of Serum Vitamin B6 Levels with Intrapulmonary Lymph Node and/or Localized Pleural Metastases in Non-Small Cell Lung Cancer: A Retrospective Study. Nutrients 2023, 15, 2340. https://doi.org/10.3390/nu15102340

AMA Style

Liu L, Yu H, Bai J, Xu Q, Zhang Y, Zhang X, Yu Z, Liu Y. Positive Association of Serum Vitamin B6 Levels with Intrapulmonary Lymph Node and/or Localized Pleural Metastases in Non-Small Cell Lung Cancer: A Retrospective Study. Nutrients. 2023; 15(10):2340. https://doi.org/10.3390/nu15102340

Chicago/Turabian Style

Liu, Lu, Hang Yu, Jingmin Bai, Qing Xu, Yong Zhang, Xinsheng Zhang, Zhimeng Yu, and Yinghua Liu. 2023. "Positive Association of Serum Vitamin B6 Levels with Intrapulmonary Lymph Node and/or Localized Pleural Metastases in Non-Small Cell Lung Cancer: A Retrospective Study" Nutrients 15, no. 10: 2340. https://doi.org/10.3390/nu15102340

APA Style

Liu, L., Yu, H., Bai, J., Xu, Q., Zhang, Y., Zhang, X., Yu, Z., & Liu, Y. (2023). Positive Association of Serum Vitamin B6 Levels with Intrapulmonary Lymph Node and/or Localized Pleural Metastases in Non-Small Cell Lung Cancer: A Retrospective Study. Nutrients, 15(10), 2340. https://doi.org/10.3390/nu15102340

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop