| Literature DB >> 22479582 |
Hongchang Shen1, Yongqiu Li, Yida Liao, Tiehong Zhang, Qi Liu, Jiajun Du.
Abstract
Ionized calcium was involved in various cellular signal pathways,and regulates many cellular processes, including those relevant to tumorigenesis. We hypothesis that imbalance of calcium homeostasis is correlated with development of lung carcinomas. We collected the clinical data of 1084 patients with non small cell lung cancer (NSCLC) treated in Shandong Provincial Hospital, Shandong University. Logistic regression was used to determine the association between calcium levels and clinical characteristics, and COX regression and Kaplan-Meier model were applied to analyze risk factors on overall survival. Blood electrolytes were tested before treatment; and nearly 16% patients with NSCLC were complained with decreased blood calcium, which is more frequent than that in other electrolytes. Further, Multivariate logistic regression analysis disclosed that there were significant correlation between blood calcium decrease and moderate and poor differentiation (P = 0.012, OR = 1.926 (1.203-4.219)), squamous cell carcinoma (P = 0.024, OR = 1.968(1.094-3.540)), and bone metastasis (P = 0.032, OR = 0.396(0.235-0.669)). In multivariate COX regression analysis, advanced lymph node stage and decreased blood calcium were significantly and independent, unfavorable prognostic factors (P<0.001). Finally, the Kaplan-Meier Survival curve revealed that blood calcium decrease was associated with shorter survival (Log-rank; χ(2) = 26.172,P<0.001). Our finding indicates that lower blood calcium levels are associated with a higher risk of unfavorable prognosis and bone metastasis of NSCLC.Entities:
Mesh:
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Year: 2012 PMID: 22479582 PMCID: PMC3316630 DOI: 10.1371/journal.pone.0034264
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
The changes of Blood electrolytes in 1084 cases with NSCLC.
| Blood electrolytes | Calcium | Magnesium | Potassium | Sodium | Chlorine |
|
| 175 | 11 | 8 | 9 | 4 |
|
| 901 | 1064 | 1071 | 1068 | 1074 |
|
| 8 | 9 | 5 | 7 | 6 |
|
| <0.05 |
NSCLC: non small cell lung cancer;
These cases is not included, because it is too less and not enough for statistic analyses;
the incidence of calcium decrease compare with others blood electrolytes, including magnesium, potassium, sodium and chlorine.
Relations of clinical and pathological characteristics and Blood Calcium levels in NSCLC patients.
| Characteristics | No. of patients | ||||
| Calcium<2.2 | 2.2≦Calcium≧2.6 | Calcium>2.6 | Chi-square |
| |
|
| |||||
| Male | 127 | 643 | 6 | 0.103 | 0.78 |
| Female | 48 | 258 | 2 | ||
|
| |||||
| <60 | 63 | 410 | 3 | 5.374 | 0.024 |
| ≧60 | 112 | 491 | 5 | ||
|
| |||||
| Never | 53 | 351 | 2 | 5.539 | 0.019 |
| <400 | 14 | 82 | 1 | ||
| ≧400 | 108 | 467 | 5 | ||
|
| |||||
| Well | 11 | 231 | 1 | 32.308 | 0.000 |
| Moderately | 110 | 472 | 5 | ||
| Poorly | 55 | 198 | 2 | ||
|
| |||||
| Adenomas | 63 | 445 | 5 | 11.871 | 0.003 |
| Squamous | 101 | 394 | 3 | ||
| Others | 11 | 62 | 0 | ||
|
| 108 | 464 | 5 | ||
| Negative | 43 | 246 | 3 | 6.109 | 0.013 |
| Positive | 65 | 218 | 2 | ||
|
| 96 | 432 | 0 | ||
| Negative | 69 | 374 | 11.500 | 0.001 | |
| Positive | 27 | 58 | |||
|
| |||||
|
| 31 | 183 | 0 | 0.62 | 0.431 |
|
| 144 | 718 | 8 | ||
These variables is not included, because it is too less and not enough for statistics analysis;
This variable just included the resected NSCLC cases;
These cases came from the follow-up of resected NSCLC patients who were not detected bone metastases at primary care;
LN: Lymph node;
Compare of never smokers to smoking index≧400;
Compare of well differentiation to moderately and poorly differentiation;
Compare of adenomas with squamous lung carcinomas, because others is too less and have special features.
Multivariate Logistic Regression Analysis for the correlation between calcium levels and clinical characteristics.
| Variable | Adjusted OR(95%CI) |
|
|
| ||
| <60 | 0.720(0.433–1.199) | 0.207 |
| ≧60 | ||
|
| ||
| Never | 1.246(0.657–2.363) | 0.50 |
| ≧400 | ||
|
| ||
| Well | 1.926(1.203–4.219) | 0.012 |
| Moderately and poorly | ||
|
| ||
| Adenomas | 1.968(1.094–3.540) | 0.024 |
| Squamous | ||
|
| ||
| Negative | 0.714(0.427–1.195) | 0.20 |
| Positive | ||
|
| ||
| Negative | 0.396(0.235–0.669) | 0.032 |
| Positive | ||
These variables were significantly correlated with Blood Calcium, which were shown in Table 2;
This variable just included the resected NSCLC cases;
These cases came from the follow-up of resected NSCLC patients who were not detected bone metastases at primary care;
OR: Odds Ratio; CI: confidence Intervial; LN: Lymph node.
Univariate analysis of clinical characteristics' affect on 3 years survival.
| Characteristics | Chi-square |
|
|
| ||
| Female vs Male | 6.783 | 0.009 |
|
| ||
| <60 vs ≧60 | 1.374 | 0.088 |
|
| ||
| Never vs ≧400 | 0.935 | 0.241 |
|
| ||
| Well vs Moderately and Poorly | 23.803 | <0.01 |
|
| ||
| Adenomas vs Squamous | 0.781 | 0.356 |
|
| ||
| Negative vs Positive | 16.109 | 0.003 |
|
| ||
| Negative vs Positive | 1.047 | 0.158 |
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| ||
|
| 10.744 | 0.006 |
|
| ||
| <2.2 vs ≥2.2, ≤2.6 | 8.462 | 0.027 |
This variable just included the resected NSCLC cases;
These cases came from the follow-up of resected NSCLC patients who were not detected bone metastases at primary care;
LN: Lymph node.
Multivariate analysis of clinical characteristics affect on 3-year survival using COX regression model.
| Variables | HR(95%CI) |
|
|
| ||
| Female vs Male | 1.034(.0722–1.481) | 0.856 |
|
| ||
| Well vs Moderately and Poorly | 1.348(0.547–3.324) | 0.516 |
|
| ||
| Negative vs Positive | 2.237(1.469–3.406) | 0.000 |
|
| ||
|
| 0.742(0.511–1.077) | 0.117 |
|
| ||
| <2.2 vs ≧2.6 | 2.697(1.590–4.574) | 0.000 |
These variables were selected from the variables that have effects on 3-year survival using univariate analysis;
HR: Hazard Ratio; CI: Confidence Interval; LN: Lymph node.
Figure 1The Kaplan-Meier survival curve of NSCLC patients who underwent radical resection (n = 572).
It is analyzed using Kaplan-Meier survival model, including 108 cases with blood calcium <2.2, and 464 cases with 2.2< = calcium< = 2.6. Log-rank comparisons revealed that blood calcium decrease(<2.2 µM) was associated with shorter survival (Log-rank; χ2 = 26.172, P<0.001).