Literature DB >> 32612389

Increased Serum Calcium Level Promotes the Risk of Lymph Node Metastasis in Endometrial Cancer.

Xing-Chen Li1, Yang-Yang Dong1, Yuan Cheng1, Jing-Yi Zhou1,2, Xiao Yang1, Bo-Qiang Shen1, Xiao-Tong Wu1,2, Xiao-Ping Li1, Jian-Liu Wang1,2.   

Abstract

PURPOSE: The early predictive values of diagnostic markers for lymph node metastasis (LNM) in endometrial cancer (EC) are still unclear at present. The purpose of this study is to explore the relationship between serum calcium and LNM in EC.
METHODS: We identified all patients with EC who underwent surgery between January 2012 and December 2016. Patient characteristics and various preoperative clinicopathologic data were obtained from medical records and were reviewed retrospectively. These patients were divided into two groups according to the pathology of their lymph node. Logistic regression models analyzed the relationship between the ionized calcium and LNM of EC patients, while adjusting for the potential confounders.
RESULTS: A total of 448 patients were assessed. Univariate analysis showed that ionized calcium, CA125 level, tumor grade, peritoneal cytology, FIGO stage, histological type, LVSI, and myometrial invasion were positively correlated with LNM (all P<0.05). The risk of LNM increased with the promotion of serum ionized calcium (P for trend <0.01). Ionized calcium level was significant before and after the adjustment of cofounders (unadjusted: OR=11.9, 95% CI: 4.8-29.6, P< 0.01; model I: OR=11.3, 95% CI: 4.5-28.8, P< 0.01; model II: OR=5.2, 95% CI: 1.6-17.2, P< 0.05). Additionally, the risk of ionized calcium was especially evident in patients whose age was older than 60, BMI<28 kg/m2, grade 3, negative peritoneal cytology and endometrioid endometrial adenocarcinoma.
CONCLUSION: Ionized calcium level was highly associated with LNM in EC and acted as a potential biomarker in predicting the risk of LNM in EC.
© 2020 Li et al.

Entities:  

Keywords:  EC; lymph node metastasis; serum calcium level; stratification analysis

Year:  2020        PMID: 32612389      PMCID: PMC7323808          DOI: 10.2147/CMAR.S253914

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Endometrial cancer (EC) is the most common gynecologic malignancy in developed countries.1 The estimated 5-year overall survival for early stage is 80% to 85%, a number that decreases remarkably to 67% and 15.9% for regional and distant metastasis, respectively.2 Lymph node metastasis (LNM) is an essential factor for poor prognosis in women with EC. However, there is great controversy regarding whether routine lymphadenectomy is necessary for EC patients, especially those at low-risk. While some studies suggest no survival benefit for routine lymphadenectomy in EC,3 other scholars believe that pelvic lymphadenectomy provides both diagnostic and therapeutic value. Therefore, it is imperative to find biomarkers and preoperative risk factors of LNM and improve preoperative assessment for radical lymphadenectomy in EC. Currently, several factors and models are used to predict LNM. The Mayo clinic model suggests myometrial invasion, tumor diameter and histological type,4 while the Korean Gynecologic Oncology Group’s (KGOG) modified model uses MRI, CA125, and endometrioid histology.5 Other models include lymph-vascular space invasion (LVSI), stromal involvement and estrogen receptor (ER), progesterone receptor (PR) in EC. However, risk factors for LNM resulting from EC are still unclear. Since tumor markers routinely used in EC cannot accurately predict the risk of LNM, other metastatic indexes for LNM are required. Serum calcium levels, a cheap, objective and easily accessible index in clinical work, have long been found to play an important role in LNM.6 Our previous work suggested that calcium and its channel Cav1.3, promoted proliferation and migration in EC cells.7 Calcium levels and its channel, TRPV4 had also been found playing an essential role in gastric cancer.8 High serum calcium levels have been found to be associated with many malignancies, including breast and renal carcinomas as well as squamous cell carcinomas of any organ. However, almost 50% of calcium is not physiologically active as it is bound to albumin in blood. Thus, an estimate of the active fraction of serum calcium adjusts the serum calcium for the level of serum albumin. In this study, we tried to find risk factors for LNM and evaluate the relationship between risk factors and LNM. Furthermore, we examined the correlation between LNM and preoperative activated calcium (ionized calcium) in different stratifications.

Patients and Methods

Patient Selection

Data from all patients who were diagnosed with EC and underwent surgery were retrospectively reviewed between January 2012 and December 2016 at Peking University People’s Hospital, Beijing, China. The disease was diagnosed by postoperative pathology. Patients who received neoadjuvant therapy or endocrine therapy were excluded, as well as those who were not subjected to lymphadenectomy, and those whose pathology was accompanied by other cancers or recurrent disease. The study protocol was approved by the ethics committee of Peking University People’s Hospital (2015PHB116-01). All patients signed written informed consents and this study was conducted in accordance with the Declaration of Helsinki.

Patient Characteristics

Demographic data including age, body mass index (BMI), menopausal status, diabetes and hypertension were collected from medical records. We obtained clinicopathological data such as preoperative CA125, serum calcium, albumin, number of lymph node (LN) removed, tumor grade (G), peritoneal cytology, FIGO stage, histological type, LVSI, myometrial invasion, and lymphadenectomy. The fasting venous blood was collected one day before surgery and used for the measurement of the concentrations of preoperative serum CA125, calcium, and albumin. Tumor grade and FIGO stage were defined according to FIGO guidelines revised in 2009.9 Peritoneal cytology, histological type, LVSI, myometrial invasion, LNM, and number of LN removed were obtained from the pathology reports. The relationship between these clinicopathological factors and LNM was evaluated in EC patients. The biologically active fraction of serum calcium (ionized calcium) was calculated by the following formula: Serum albumin-corrected calcium (mg/dL) = total serum calcium (mg/dL) + 0.8*(4 – albumin (g/dL)).

Statistical Analysis

Data are presented as mean ± standard deviation (SD) for continuous variables, and as frequency or percentage for categorical variables. The Mann–Whitney and Chi-square tests were used to determine any statistical difference between the means and proportions of the two groups. Both non-adjusted and multivariate adjusted models were applied. We performed tests for linear trend by entering the three categories of ionized calcium level as a continuous variable in the models. Interaction and stratified analyses were conducted according to age, BMI, menopausal status, diabetes, hypertension, preoperative CA-125, total serum calcium, albumin, tumor grade, peritoneal cytology, FIGO stage, histological type, LVSI, myometrial invasion. The interaction between ionized calcium and LNM in different subgroups was examined by likelihood ratio tests. All of the analyses were performed with the statistical software packages R version 3.4.3 (, The R Foundation) and EmpowerStats (, X&Y Solutions, Inc., Boston, MA). A two-sided significance level of 0.05 was considered statistically significant.

Results

Patients and Clinicopathological Characteristics

During the study period, 510 patients underwent surgery for EC and a total of 448 women fulfilled the inclusion and exclusion criteria were identified in this research (Figure 1). Basic characteristics of the patients stratified by positive or negative LNM are shown in Table 1. There were 401 patients in negative LNM group and 47 patents in positive LNM group. Median age in the two groups was 55.5 ± 9.5 and 57.3 ± 8.5 years old, respectively. The median value of serum calcium was 2.3 ± 0.2 mg/dL and 2.3 ± 0.3 mg/dL. After adjusting for serum albumin (4.4 ± 0.4 mg/dL and 4.0 ± 0.5 mg/dL) using the formula provided above, the calculated median ionized calcium was 2.0 ± 0.3 mg/dL and 2.3 ± 0.5 mg/dL. For CA125, the median level was 39.7 ± 98.5 U/mL and 172.8 ± 459.5 U/mL in the two groups. The majority of patients (64.3% and 57.4%) were postmenopausal in both groups. In terms of other clinicopathological indexes in the negative LNM group, 323 (80.5%) patients were in grade 1 (G1) and grade 2 (G2), 25 (19.5%) in grade 3 (G3). 6.2% (n=25) and 19.1% (n=9) of the patients had positive peritoneal cytology. Among all patients in the whole cohort, the majority of the patients were in FIGO stage I and EEA in the aspect of histological type. The distribution of patients in LVSI, myometrial invasion, and lymph node dissection (LND) was significantly different in the two groups.
Figure 1

Flow chart of selection of 448 endometrial cancer patients.

Table 1

Patient Characteristics

VariablesNegative LNM Mean ± SD or N (%)Positive LNM Mean ± SD or N (%)P
Total number40147
Age (years)55.5 ± 9.557.3 ± 8.50.182
BMI (kg/m2)26.5 ± 4.726.3 ± 3.90.955
Serum calcium (mg/dL)2.3 ± 0.22.3 ± 0.30.219
Serum albumin (g/L)4.4 ± 0.44.0 ± 0.5<0.001
Ionized calcium (mg/dL)2.0 ± 0.32.3 ± 0.5<0.001
CA125 (U/mL)39.7 ± 98.5172.8 ± 459.5<0.001
Number of LN removed16.5 ± 10.818.9 ± 8.20.168
Postmenopausal status0.353
No143 (35.7)20 (42.6)
Yes258 (64.3)27 (57.4)
Diabetes0.826
No310 (77.3)37 (78.7)
Yes91 (22.7)10 (21.3)
Hypertension0.290
No237 (59.1)24 (51.1)
Yes164 (40.9)23 (48.9)
Tumor grade<0.001
G1/G2323 (80.5)17 (36.2)
G378 (19.5)30 (63.8)
Peritoneal cytology0.005
Negative376 (93.8)38 (80.9)
Positive25 (6.2)9 (19.1)
2009 FIGO<0.001
I349 (87.0)0 (0.0)
II–IV52 (13.0)47(100.0)
Histological type<0.001
EEA357 (89.0)27 (57.4)
Other types44 (11.0)20 (42.6)
LVSI<0.001
Negative348 (86.8)20 (42.6)
Positive53 (13.2)27 (57.4)
Myometrial invasion<0.001
<50%292 (72.8)0 (0.0)
≥50%109 (27.2)47 (100.0)
Lymphadenectomy<0.001
No76 (18.9)0 (0.0)
Yes326 (81.1)46 (100.0)

Abbreviations: N, number; LNM, lymph node metastasis; LN, lymph node; BMI, body mass index; SD, standard deviation; G, tumor grade; FIGO, International Federation of Gynecology and Obstetrics; EEA, endometrioid endometrial adenocarcinoma; LVSI, lymph-vascular space invasion.

Patient Characteristics Abbreviations: N, number; LNM, lymph node metastasis; LN, lymph node; BMI, body mass index; SD, standard deviation; G, tumor grade; FIGO, International Federation of Gynecology and Obstetrics; EEA, endometrioid endometrial adenocarcinoma; LVSI, lymph-vascular space invasion. Flow chart of selection of 448 endometrial cancer patients.

Univariate Analyses Between LNM and Clinicopathologic Features

As determined by univariate analysis, ionized calcium (OR=11.9, 95% CI: 4.8–29.6, P <0.001), CA125 level (OR=1.05, 95% CI: 1.01–1.13, P=0.001), tumor grade (OR=54.6, 95% CI: 7.3–408.1, P <0.001), peritoneal cytology (OR=3.6, 95% CI: 1.6–8.2, P=0.003), FIGO stage (OR=199.7, 95% CI: 21.6–2083.9, P <0.001), histological type (OR=6.0, 95% CI: 3.1–11.6, P <0.001), LVSI (OR=8.9, 95% CI: 4.6–16.9, P <0.001), and myometrial invasion (OR=1.4, 95% CI: 1.3–1.6, P <0.001) were all significantly associated with LNM whereas age, BMI, calcium level, menopausal state, diabetes, and hypertension were not (P>0.05). The risk of LNM increased with the elevation of ionized calcium level (P for trend <0.001, Table 2).
Table 2

Results of Univariate Logistic Regression Analysis in EC Patients

VariablesUnivariate Analysis
OR (95% CI)P
Age1.0 (1.0, 1.1)0.225
BMI1.0 (0.9, 1.1)0.796
Serum calcium1.1 (0.2, 5.9)0.884
Serum albumin0.2 (0.1, 0.4)<0.001
Ionized calcium11.9 (4.8, 29.6)<0.001
CA1251.05 (1.01, 1.13)0.001
Menopausal status0.7 (0.4, 1.4)0.354
Diabetes0.9 (0.4, 1.9)0.826
Hypertension1.4 (0.8, 2.5)0.292
Tumor grade54.6 (7.3, 408.1)<0.001
Peritoneal cytology3.6 (1.6, 8.2)0.003
FIGO stage199.7 (21.6, 2083.9)<0.001
Histological type6.0 (3.1, 11.6)<0.001
LVSI8.9 (4.6, 16.9)<0.001
Myometrial invasion1.4 (1.3, 1.6)<0.001
Ionized calciumP for trend
Low (0.56–1.85mg/dL)1.0
Medium (1.85–2.07mg/dL)1.0 (0.3, 2.9)
High (2.07–3.38mg/dL)5.5 (2.3, 12.9)<0.001

Abbreviations: BMI, body mass index; OR, odds ratio; CI, confidence interval; FIGO, International Federation of Gynecology and Obstetrics; LVSI, lymph vascular space invasion.

Results of Univariate Logistic Regression Analysis in EC Patients Abbreviations: BMI, body mass index; OR, odds ratio; CI, confidence interval; FIGO, International Federation of Gynecology and Obstetrics; LVSI, lymph vascular space invasion.

Relationship Between Ionized Calcium Level and LNM

To investigate the relationship between calcium level and LNM, we conducted multivariate analysis. We built different models by adjusting different confounding factors. Model I adjusted for the baseline information of patients and Model II added in all significantly risk factors in univariate analysis including CA125, tumor grade, myometrial invasion, and histological type. The results were shown in Table 3. There was no significant association between total serum level and LNM whether adjusting confounding factors or not (OR = 0.5, 95% CI =0.1–3.1). We further conducted multivariate analysis for the relationship between ionized calcium level and LNM. We saw significant positive associations between increasing ionized calcium level and LNM in unadjusted model (OR = 11.9, 95% CI = 4.8–29.6, P<0.01), model I (OR = 11.3, 95% CI = 4.5–28.8, P<0.01) and model II (OR = 5.2, 95% CI = 1.6–17.2, P<0.05). The elevation of ionized calcium level was also significant in the multivariate model (P for trend <0.01 in unadjusted model, model I, and P for trend =0.037 in model II).
Table 3

Logistic Regression Models Evaluating the Relationship Between LNM with Serum Ionized Calcium

VariablesUnadjusted OR (95% CI)Model Ia OR (95% CI)Model IIb OR (95% CI)
Serum calcium level1.1 (0.2, 5.9)1.1 (0.2, 5.8)0.5 (0.1, 3.1)
Ionized calcium level11.9 (4.8, 29.6)**11.3 (4.5, 28.8)**5.2 (1.6, 17.2)*
Low1.01.01.0
Medium1.0 (0.3, 2.9)0.9 (0.3, 2.7)0.7 (0.2, 2.5)
High5.6 (2.4, 13.2)5.3 (2.2, 12.5)2.9 (1.1, 8.1)
P for trend<0.01<0.010.037

Notes: aAdjust I model adjust for: Age; BMI; menopausal status. bAdjust II model adjust for: age; BMI; menopausal status; CA125; tumor grade; myometrial invasion; histological type; *P < 0.05, **P < 0.01.

Abbreviations: LNM, lymph node metastasis; OR, odds ratio; CI, confidence interval.

Logistic Regression Models Evaluating the Relationship Between LNM with Serum Ionized Calcium Notes: aAdjust I model adjust for: Age; BMI; menopausal status. bAdjust II model adjust for: age; BMI; menopausal status; CA125; tumor grade; myometrial invasion; histological type; *P < 0.05, **P < 0.01. Abbreviations: LNM, lymph node metastasis; OR, odds ratio; CI, confidence interval. The associations between the ionized calcium level and LNM stratified by demographic characteristics are shown in Figure 2. In most of the groups, high level of ionized calcium was positively correlated with LNM. The statistically significant associations were observed in these subgroups such as patients older than 60 years old (OR=10.51, 95% CI: 1.25–42.59, P<0.05), BMI < 28 (OR=9.39, 95% CI: 1.93–45.70, P<0.01 in BMI<24 kg/m2 group; OR=4.80, 95% CI: 1.48–15.53, P<0.01 in BMI=24–28 kg/m2 group), grade 3 patients (OR=6.35, 95% CI: 1.67–24.20, P<0.01), negative peritoneal cytology group (OR=2.92, 95% CI: 1.29–6.64, P<0.01) and EEA group (OR=6.90, 95% CI: 1.09–43.66, P<0.05) only. Interaction analysis revealed that all the factors had no impact on the association between the ionized calcium level and LNM which indicated that the relationship between ionized calcium level and LNM was stable in different groups (all P for interaction>0.05).
Figure 2

Stratification analysis of association between serum ionized calcium level and lymph node metastasis.

Abbreviations: BMI, body mass index; OR, odds ratio; CI, confidence interval; G, tumor grade; FIGO, International Federation of Gynecology and Obstetrics; EEA, endometrioid endometrial adenocarcinoma; LVSI, lymph-vascular space invasion.

Stratification analysis of association between serum ionized calcium level and lymph node metastasis. Abbreviations: BMI, body mass index; OR, odds ratio; CI, confidence interval; G, tumor grade; FIGO, International Federation of Gynecology and Obstetrics; EEA, endometrioid endometrial adenocarcinoma; LVSI, lymph-vascular space invasion.

Discussion

Lymph node metastasis (LNM) is an important prognostic factor for survival and recurrence and is also the most common site of extra-uterine metastasis in patients with EC.1 The discrimination of patients with positive LNM is essential for tailoring adjuvant therapy and prognosis, but the therapeutic value of routine lymphadenectomy still remains controversial. Although two prospective randomized trials10 and a Surveillance, Epidemiology and End Results (SEER) Program analysis11 have reported that systematic lymphadenectomy did not improve overall or disease-free survival in EC, there are still several studies suggesting that lymphadenectomy is beneficial for EC.12,13 Predictions of LNM are well studied in EC patients, especially in FIGO stage I. One recent study constructed a nomogram for predicting the overall survival and found the nomogram was more accurate than the Mayo criteria.14 Other studies focused on a risk matrix model to identify high-risk parameters necessitating lymphadenectomy and to decide the risks and benefits of lymphadenectomy.15 A long-term argument against routine lymph node dissection was that the procedure could cause several complications such as bowel obstruction, deep venous thrombus and chronic lymphedema.16 To decrease complications related with lymphadenectomy and better select patients who would benefit most from lymphadenectomy, sentinel lymph node biopsy has been developed. Our institution has increasingly used sentinel lymph node evaluation, which involves injection of dye into the cervix and the dye travels to the sentinel nodes. The overall detection rate of sentinel lymph node in our department was 95%, with 74% positive bilaterally.17 In addition, identification of risk factors is also an important measurement for conducting lymphadenectomy. In our study, we tried to discern biomarkers for LNM before surgery to aid in prognosis and adjuvant treatment decisions. We found that ionized calcium, CA125 level, tumor grade, peritoneal cytology, FIGO stage, histological type, LVSI, and myometrial invasion were all significantly correlated with LNM. Further in the multivariate analysis, serum ionized calcium remained to be independent pathologic predictor of LNM before and after the adjustment of preoperative cofounders, suggesting that serum-ionized calcium might contribute to the metastatic ability of EC cells. What’s more, our study revealed that the increased level of ionized calcium was positively associated with the risk of LNM in EC patients excluding other clinicopathological features that may affect the development of EC. By grouping the ionized calcium level into three levels, we found that the positive relationship between serum-ionized calcium and LNM was dose-responsible (P for trend <0.01). Previously in our study, we demonstrated that in EC patients, serum calcium might be a more sensitive parameter for metabolic syndrome, which is a well-established risk factor for EC.18 Another formation of metastatic tumor cells, positive peritoneal cytology, had a strong correlation with elevated ionized calcium level, indicating that calcium might have an effect on metastatic ability of EC cells.19 It was reported that up-regulated calcium level might lead to the metabolic syndrome through Ca2+/cAMP signaling pathway.20 What’s more, epidemiological and clinical studies had found that metabolic syndrome was associated with the incidence of EC.21 Therefore, the underlying mechanism that calcium elevation in patients with LNM might be associated with metabolic syndrome in EC. There were studies concentrated on calcium level or ionized calcium in other cancers. For example, serum calcium was a risk factor for bone metastases in bladder cancer,22 and it was also associated with mammographic density in breast cancer.23 Kelly et al built a model using serum calcium and albumin to distinguish malignant and benign pelvic masses.24 These studies provided us with new insight into the potential mechanism, but they did not consider the influence of calcium level categories on the risk of the diseases and found the special group by stratification analysis. The mechanism for the metastatic ability of Ca2+ on LNM was still ongoing. Calcium ion (Ca2+) acted as a predictive role in many cancers, such as prostate, ovarian, and breast cancers.25 Ca2+ and its related channels were found to promote cell migration not only in EC, but also in hepatocellular carcinoma,26 indicating that cancer cells might require a higher Ca2+ microenvironment and more active Ca2+ uptake. Estrogen was also an essential factor for the development of EC,27 and previous studies from our group had found that estrogen might work synergistically with calcium.7 The association between higher serum calcium and different cancers had long been reported. Total and ionized serum calcium could elevate the risk for fatal prostate cancer,22 acted as a risk factor for bone metastasis in bladder cancer24 and discriminated malignant pelvic masses from benign.28 All these results agreed with our observations that elevated ionized calcium levels were a negative prognostic factor for LNM in EC patients. Possibly, hyperactive calcium channels might promote metastatic dissemination and colonization by reorganizing the actin cytoskeleton, degrading the extracellular matrix and remodeling the tumor microenvironment.29 To the best of our knowledge, this is the first study to investigate the relationship between serumionized calcium level and the LNM in EC. Although the results of this study are interesting and compelling, there are still some limitations that need to be addressed. First, this is a retrospective study and some of the patients’ records are missing, which leads to patient selection bias. Second, the study is conducted in a single medical center with a relatively small sample, which may not represent the generalized characteristics of the whole EC population. The third limitation is that our model has not been validated by other groups. In the future, we plan to carry out a validation study in other centers and explore the mechanism of metastatic lymph node cells caused by calcium levels.

Conclusions

We have shown that serum ionized calcium was independent risk factors for LNM in EC patients. The risk of LNM in EC increased with the ascending of ionized calcium levels. We also found the association was more obvious in patients whose age was older than 60, BMI<28 kg/m2, G3, negative peritoneal cytology, and EEA. The exact mechanism of action of calcium in metastasis called for deeper research and our findings needed to be confirmed by additional well designed randomized controlled studies.
  29 in total

1.  Preoperative assessment of lymph node metastasis in endometrial cancer: A Korean Gynecologic Oncology Group study.

Authors:  Sokbom Kang; Joo-Hyun Nam; Duk-Soo Bae; Jae-Weon Kim; Moon-Hong Kim; Xiaojun Chen; Jae-Hong No; Jong-Min Lee; Jae-Hoon Kim; Hidemich Watari; Seok Mo Kim; Sung Hoon Kim; Seok Ju Seong; Ki Tae Kim; Seung Cheol Kim; Jong-Hyeok Kim; Myung-Cheol Lim; Jung-Yun Lee; Sang-Young Ryu; Bingyi Yang; Byoung-Gie Kim
Journal:  Cancer       Date:  2016-11-07       Impact factor: 6.860

2.  Ca2+ channel subunit α 1D promotes proliferation and migration of endometrial cancer cells mediated by 17β-estradiol via the G protein-coupled estrogen receptor.

Authors:  Juan Hao; Xiaoxia Bao; Bo Jin; Xiujuan Wang; Zebin Mao; Xiaoping Li; Lihui Wei; Danhua Shen; Jian-Liu Wang
Journal:  FASEB J       Date:  2015-03-24       Impact factor: 5.191

3.  A prospective study of total and ionized serum calcium and time to fatal prostate cancer.

Authors:  Gary G Schwartz; Halcyon G Skinner
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-08-22       Impact factor: 4.254

4.  Systematic pelvic lymphadenectomy vs. no lymphadenectomy in early-stage endometrial carcinoma: randomized clinical trial.

Authors:  Pierluigi Benedetti Panici; Stefano Basile; Francesco Maneschi; Andrea Alberto Lissoni; Mauro Signorelli; Giovanni Scambia; Roberto Angioli; Saverio Tateo; Giorgia Mangili; Dionyssios Katsaros; Gaetano Garozzo; Elio Campagnutta; Nicoletta Donadello; Stefano Greggi; Mauro Melpignano; Francesco Raspagliesi; Nicola Ragni; Gennaro Cormio; Roberto Grassi; Massimo Franchi; Diana Giannarelli; Roldano Fossati; Valter Torri; Mariangela Amoroso; Clara Crocè; Costantino Mangioni
Journal:  J Natl Cancer Inst       Date:  2008-11-25       Impact factor: 13.506

5.  Cancer treatment and survivorship statistics, 2016.

Authors:  Kimberly D Miller; Rebecca L Siegel; Chun Chieh Lin; Angela B Mariotto; Joan L Kramer; Julia H Rowland; Kevin D Stein; Rick Alteri; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2016-06-02       Impact factor: 508.702

6.  Estrogen and insulin synergistically promote endometrial cancer progression via crosstalk between their receptor signaling pathways.

Authors:  Wenyan Tian; Fei Teng; Jinping Gao; Chao Gao; Guoyan Liu; Yanfang Zhang; Shizhu Yu; Wei Zhang; Yingmei Wang; Fengxia Xue
Journal:  Cancer Biol Med       Date:  2019-02       Impact factor: 4.248

7.  Serum calcium is a novel parameter to assess metabolic syndrome in endometrial carcinoma.

Authors:  Yanying Lin; Jingyi Zhou; Linlin Cao; Qi Xu; Juan Hao; Lijun Zhao; Jianliu Wang
Journal:  J Gynecol Oncol       Date:  2018-10-11       Impact factor: 4.401

8.  Efficacy of systematic pelvic lymphadenectomy in endometrial cancer (MRC ASTEC trial): a randomised study.

Authors:  H Kitchener; A M C Swart; Q Qian; C Amos; M K B Parmar
Journal:  Lancet       Date:  2008-12-16       Impact factor: 79.321

9.  Serum calcium, alkaline phosphotase and hemoglobin as risk factors for bone metastases in bladder cancer.

Authors:  Ping Huang; Min Lan; Ai-Fen Peng; Qing-Fu Yu; Wen-Zhao Chen; Zhi-Li Liu; Jia-Ming Liu; Shan-Hu Huang
Journal:  PLoS One       Date:  2017-09-13       Impact factor: 3.240

10.  Calcium channel α2δ1 subunit as a novel biomarker for diagnosis of hepatocellular carcinoma.

Authors:  Sana Amhimmid Badr; Maryan Waheeb Fahmi; Manal Mahmoud Nomir; Mamdouh Mohammad El-Shishtawy
Journal:  Cancer Biol Med       Date:  2018-02       Impact factor: 4.248

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  5 in total

1.  Calcium and TRPV4 promote metastasis by regulating cytoskeleton through the RhoA/ROCK1 pathway in endometrial cancer.

Authors:  Xingchen Li; Yuan Cheng; Zhiqi Wang; Jingyi Zhou; Yuanyuan Jia; Xiangjun He; Lijun Zhao; Yangyang Dong; Yuan Fan; Xiao Yang; Boqiang Shen; Xiaotong Wu; Jiaqi Wang; Chunyang Xiong; Lihui Wei; Xiaoping Li; Jianliu Wang
Journal:  Cell Death Dis       Date:  2020-11-23       Impact factor: 8.469

Review 2.  Calcium and calcium-related proteins in endometrial cancer: opportunities for pharmacological intervention.

Authors:  Ting Huang; Jingyi Zhou; Jianliu Wang
Journal:  Int J Biol Sci       Date:  2022-01-01       Impact factor: 6.580

3.  Estrogen-Induced Extracellular Calcium Influx Promotes Endometrial Cancer Progress by Regulating Lysosomal Activity and Mitochondrial ROS.

Authors:  Boqiang Shen; Juan Hao; Yanying Lin; Xingchen Li; Xiao Yang; Ting Huang; Jiaqi Wang; Yuanyuan Jia; Jingyi Zhou; Jianliu Wang
Journal:  Front Med (Lausanne)       Date:  2022-02-10

Review 4.  Advances in the study of cancer metastasis and calcium signaling as potential therapeutic targets.

Authors:  Chaochu Cui; Yongxi Zhang; Gang Liu; Shuhong Zhang; Jinghang Zhang; Xianwei Wang
Journal:  Explor Target Antitumor Ther       Date:  2021-06-28

5.  Calcium-Related Genes Predicting Outcomes and Serving as Therapeutic Targets in Endometrial Cancer.

Authors:  Ting Huang; Xuan Feng; Jiaqi Wang; Jingyi Zhou; Jianliu Wang
Journal:  Cells       Date:  2022-10-08       Impact factor: 7.666

  5 in total

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