Literature DB >> 27994669

Pre-treatment serum alkaline phosphatase and lactate dehydrogenase as prognostic factors in triple negative breast cancer.

Bo Chen1, Danian Dai1, Hailin Tang1, Xi Chen2, Xiaohong Ai3, Xiaojia Huang1, Weidong Wei1, Xiaoming Xie1.   

Abstract

Background: Serum parameters as prognostic parameters are studied widely. We aim to examine the prognostic significance of the serum alkaline phosphatase (ALP) level and lactate dehydrogenase (LDH) level in triple negative breast cancer (TNBC).
Methods: Total of 253 TNBC patients from Sun Yat-sen University Cancer Center who underwent treatment between January 2004 and December 2009 was conducted in this retrospective study. Before treatment serum ALP and LDH levels were routinely measured. We use the receiver operating characteristic (ROC) curve analysis to estimate the cutoff value of serum ALP and LDH levels. The Kaplan-Meier method and multivariable Cox regression analysis were used for Disease free survival (DFS) and overall survival (OS) assessed.
Results: The ROC curves determined that the optimum cutoff point for ALP and LDH were 66.5u/L and 160.5u/L, respectively. The elevated ALP and LDH were both significantly associated with decreased DFS and OS (both P < 0.001). In addition, the entire cohort was stratified into three subgroups basis of ALP levels and LDH levels. TNBC Patients who with ALP >66.5 u/L and LDH >160.5u/L had the worst DFS and OS (both P < 0.001). In TNBC patients, univariate and multivariate Cox regression analyses conformed ALP and LDH were independent unfavorable prognostic factors for DFS and OS. Conclusions: The serum levels of ALP and LDH before treatment are independent prognostic parameters and may serve as complement to help predict survival in TNBC.

Entities:  

Keywords:  Alkaline phosphatase; Biomarker.; Lactate dehydrogenase; Prognostic factor; Triple negative breast cancer

Year:  2016        PMID: 27994669      PMCID: PMC5166542          DOI: 10.7150/jca.16622

Source DB:  PubMed          Journal:  J Cancer        ISSN: 1837-9664            Impact factor:   4.207


Introduction

Cancer is an increasingly global problem and breast cancer is the main cause of cancer death in women worldwide1, 2. It is generally known that breast cancer has various genetic alterations and it to be classified into different molecular subtypes. As a refractory subtype of breast cancer, Triple negative breast cancer (TNBC) is a heterogeneous clinicopathological cancer and shows high recurrence rate and poor prognosis3. About 15% to 20% breast cancer patients are TNBC4. It has attracted increasing clinical and basic scientific research attention on the prognostic factors for patients with TNBC. A valuable prognostic factor should be accurate and reproducible, but also easily performed. In recent years, many studies focus on blood parameters and serum parameters that may be prognostic parameters in cancer. An increasing body of evidence has confirmed the utility of blood parameters and serum parameters in predicting TNBC patient prognosis. For example, increased pre-treatment neutrophil to lymphocyte ratio (NLR) may be associated with poor prognosis in early TNBC patients 5. The high fibrinogen level before operative was a risk factor for triple negative breast cancer and some other breast cancer subtypes. 6. Here, we concern about two routinely tested serums biochemical index alkaline phosphatase (ALP) and lactate dehydrogenase (LDH). ALP is a hydrolase enzyme which responsible for removing phosphate groups. LDH plays a vital role in the conversion of pyruvate to lactate. Both of them are serum enzymes, which have been found to have prognostic value in several malignancies. According to previously studies, in some kinds of cancer, the elevation of ALP or LDH might indicate a heavy tumor burden and tumor metastasis. High ALP level was reported to be related with worse prognosis in colorectal cancer 7, nasopharyngeal carcinoma 8, prostate cancer9, and esophageal squamous cell carcinoma10. Serum LDH level was demonstrated to be a prognostic factor in nasopharyngeal carcinoma11, lymphoma12, small cell lung cancer13, myeloma14 and prostate cancer15. However, the prognosis value of serum ALP and LDH in TNBC has remained unclear. In this retrospectively study, we evaluated serum ALP and serum LDH levels in 253 TNBC patients, and correlated the levels of ALP and LDH to the outcomes of the TNBC patients.

Materials and Methods

Patients

This study was conducted female patients who with histological diagnosed of triple-negative breast cancer between January 1, 2004 and December 31, 2009 in Sun Yat-sen University Cancer Center (SYSUCC). TNBC was defined as breast cancer with negative expression of Estrogen receptor (ER-), progesterone receptor (PR-), and human epidermal growth factor receptor 2 (HER-2-). ER, PR, and HER-2 analyses were performed via immunohistochemistry (IHC). ER- or PR- was defined as less than 1% of positive ER or PR expression cells. Because lacking of fluorescence in situ hybridization data, HER-2 immunohistochemical scores of 0/1+ were including as HER-2 negative. A Patient was excluded from the study: 1) without follow-up; 2) with previous or coexisting cancers; 3) Declined treatment; 4) with active infections; 5) with liver disease or heart disease; 6) without available data of ALP and LDH before treatment. All patients were followed up to November 27, 2015 or until death. Sun Yat-sen University Cancer Center Institute Research Ethics Committee approved this retrospective study, and all enrolled patients had written informed consent. The methods were in accordance with the approved guidelines.

Clinical data collection

Before patients received prior treatment, baseline serum ALP and LDH had been routinely determined by Hitachi Automatic Analyzer 7600-020 (Hitachi, Tokyo, Japan). Clinical and histopathological data were collected through database chart review. Disease staging were determined according to the American Joint Committee on Cancer (AJCC) 7th Edition by TNM staging system. Patients were followed up by the Follow-up Department through outpatient medical records or telephone.

Statistical analyses

A P value of <0.05 was considered statistically significant. SPSS for Windows version 20.0 (SPSS, Chicago, IL, USA) was used to analyze all of the statistical data. Optimal cutoff values for the ALP and LDH were calculated by applying receiver operating curve (ROC) analysis. Univariate analyses with the Chi-squared test or Fisher's exact test were performed to investigate the associations of ALP or LDH level with clinicopathologic variables. Overall survival (OS) and Disease-free survival (DFS) were calculated from the initial treatment. Survival curves were calculated by the Kaplan-Meier and compared with the log-rank test. Univariate and multivariate analyses (Cox proportional hazards regression model) examined prognostic factors. Variables which P<0.05 in the univariate analysis were entered into the multivariate analysis.

Result

Patient characteristics and ROC Analysis

We identified 502 female patients who were histopathologically diagnosed TNBC in SYSUCC. 253 female patients were enrolled after eligibility review. The reasons for the excluded patients are summarized in Fig.1. The median age of these patients was 47 years (range, 22-79 years), and their median follow-up time was 89 months (range, 2-143 months [censored]). At the end of this study, 45.8 % (116/253) of the patients experienced local/distant recurrence, and 43.1 % (109/253) died. Invasive ductal carcinoma was the predominant type (93.3%). Only 12 patients (4.7%) were diagnosed with invasive lobular carcinoma and 5 patients (2.0%) were diagnosed with intraductal carcinoma in situ. Of 253 consecutive patients, all of them received surgical treatment. 231 patients (91.3%) received neoadjuvant/ adjuvant chemotherapy and 54(21.3%) patients received radiotherapy. Using the overall survival as an endpoint, the optimal cutoff value of pre-treatment serum ALP and LDH level were determined by ROC curve analysis. The area under the ROC curve was 0.602(95%CI, 0.531-0.673) for ALP and 0.635 (95%CI, 0.565-0.705) for LDH (Fig.2). With the highest Youden's index, the cutoff point for pre-treatment serum ALP and LDH levels were 66.5u/L and 160.5u/L, respectively. Then, 76 patients (30.0 %) with ALP>66.5 u/L and 177 patients (70.0 %) with ALP≤ 66.5 u/L were classified into an ALP-high and ALP-low group, respectively. Meanwhile, by the cutoff point for LDH, 132 patients (52.2%) were classified into a LDH-high group (LDH>160.5u/L) and 121 patients (47.8%) were classified into a LDH-low group (LDH≤ 160.5u/L). To our best knowledge, this is the first report looking specifically at the predictive value of ALP and LDH in TNBC.
Figure 1

The flow chart of patient selection.

Figure 2

The cutoff value of the pre-treatment serum ALP and LDH levels. Notes: ALP with an AUC of 60.2% (sensitivity of 41.3% and specificity of 78.5%); LDH with an AUC of 63.5% (sensitivity of 67.0% and a specificity of 59.0%). Abbreviations: AUC, area under the curve.

Relationships between ALP or LDH and other clinical characteristics

Correlations between pre-treatment serum ALP or LDH level and clinicopathological parameters are shown in Table 1. An obvious difference between ALP -high group and ALP -low group in the age, menstrual status (both P < 0.001) and lymph node (LN) Infiltrated (P = 0.001); No significant difference in the Body Mass Index (BMI), tumor size, tumor status, TNM staging, LN Infiltrated and histological grade (P > 0.05). At the same time, we found that a higher level of LDH was related to the age, menstrual status (both P < 0.001), BMI (P =0.007) and LN Infiltrated (P = 0.001). No correlation was observed between LDH level and other clinical characteristics (P > 0.05).
Table 1

Correlation between the clinicopathological variables and ALP or LDH in triple negative breast cancer cases.

VariablesCases (n=253)ALPLDH
LowNo. (%)HighNo. (%)P valueLowNo. (%)HighNo. (%)P value
Age (years)<0.001*<0.001*
≤50166131(78.9%)35(21.1%)93(56.0%)73(44.0%)
>508746(52.9%)41(47.1%)28(32.2%)59(67.8%)
menopause<0.001*<0.001*
no10354(52.4%)49(47.6%)34(33.0%)69(67.0%)
yes150123(82.0%)27(18.0%)87(58.0%)63(42.0%)
BMI0.0960.007*
≤25194141(72.7%)53(27.3%)102(52.6%)92(47.4%)
>255936(61.0%)23(39.0%)19(32.2%)40(67.8%)
Tumor size0.6320.120
≤2.0cm8259(72.0%)23(28.0%)45(54.9%)37(45.1%)
>2.0cm171118(69.0%)53(31.0%)76(44.4%)95(55.6%)
Tumor status0.5220.020*
T17253(73.6%)19(26.4%)45(62.5%)27(37.5%)
T214197(68.8%)44(31.2%)60(42.6%)81(57.4%)
T32116(76.2%)5(23.8%)10(47.6%)11(52.4%)
T41911(57.9%)8(42.1%)6(31.6%)13(68.4%)
TNM staging0.063 a0.057 a
I5141(80.4%)10(19.6%)33(64.7%)18(35.3%)
II12791(71.7%)36(28.3%)56(44.1%)71(55.9%)
III6739(58.2%)28(41.8%)29(43.3%)38(56.7%)
IV86(75.0%)2(25.0%)3(37.5%)5(62.5%)
LN infiltrated0.001*0.001*
No131104(79.4%)27(20.6%)73(55.7%)58(44.3%)
Yes12273(59.8%)49(40.2%)48(39.3%)74(60.7%)
Histological grade0.154 a0.073 a
G133(100.0%)0(0.0%)0(0.0%)3(100.0%)
G212492(74.2%)32(25.8%)66(53.2%)58(46.8%)
G312682(65.1%)44(34.9%)55(43.7%)71(56.3%)
Chemotherapy0.2440.116
no2213(59.1%)9(40.9%)7(31.8%)15(68.2%)
yes231164(71.0%)67(29.0%)114(49.4%)117(50.6%)
Radiotherapy0.9410.504
no199139(69.8%)60(30.2%)93(46.7%)106(53.3%)
yes5438(70.4%)16(29.6%)28(51.9%)26(48.1%)

Abbreviation: ALP alkaline phosphatase, LDH lactate dehydrogenase, BMI body mass index, LN lymph node.

a. Using Fisher's exact test

* P < 0.05, statistically significant.

Prognostic significance of ALP and LDH in TNBC

A Kaplan-Meier survival analysis was conducted to analyze the significance of ALP and LDH in terms of clinical prognosis, (Table 2). Expectedly, the results showed that the ALP-high group patients presented shorter mean months of DFS and OS than the ALP -low group patients (P <0.001 for DFS; Fig. 3A, P <0.001 for OS; Fig. 3D). We also observed that higher level of LDH was associated with a lower disease-free survival rate and a lower overall survival rate (P <0.001 for DFS; Fig. 3B, P <0.001 for OS; Fig. 3E). In addition, we divided the patients into following three subgroups on the basis of ALP levels (≤66.5 u/L or >66.5 u/L) and LDH levels (≤160.5u/L or >160.5u/L). Group I: ALP (≤66.5 u/L) and LDH (≤160.5u/L) both in a lower level, Group III: ALP (>66.5 u/L) and LDH (>160.5u/L) both in a higher level, and the rest of patients all in Group II. There were 102 (40.3 %), 94(37.2 %), and 57 (22.5 %) patients were classified into the three groups respectively. Among the three groups, in group III, patients with a higher level of ALP and LDH had the worst DFS and OS. These results indicated that the pre-treatment serum ALP and LDH levels were significantly associated with the TNBC patients DFS and OS (P <0.001 for DFS; Fig. 3C, P <0.001 for OS; Fig. 3F).
Table 2

The DFS and OS of TNBC patients according to levels of ALP, LDH, and ALP&LDH.

VariableCaseDFS (months)OS (months)
Mean ± SEMedianP-valueMean ± SEMedianP-value
Total25393.2±3.5NR104.0±3.0136.4
ALP<0.001*<0.001*
Low group102.1 ± 3.8NR112.1 ± 3.2NR
High group71.3 ± 6.744.285.0 ± 6.088.0
LDH<0.001*<0.001*
Low group108.6 ± 4.5NR116.6 ± 3.9NR
High group78.6 ± 4.962.592.3 ± 4.399.3
ALP&LDH<0.001*<0.001*
Group I111.1 ± 4.7NR119.8 ± 3.9NR
Group II90.9 ± 5.698.9100.7 ± 4.8126.4
Group III63.4 ± 7.439.980.3 ± 6.862.5

Abbreviations: NR not reached.

* P < 0.05, statistically significant.

Figure 3

Prognostic value of the pre-treatment serum ALP and LDH levels in triple negative breast cancer patients. (A and D) TNBC patients with a higher level of pre-treatment ALP had a worse disease-free survival and overall survival than patients; (B and E) TNBC patients with a higher level of pre-treatment LDH had a worse disease-free survival and overall survival; (C and F) Group III patients(ALP>66.5 u/L and LDH>160.5 u/L) had the worst prognosis.

Based on above analyses, high ALP and high LDH levels were significantly associated with a higher recurrence and mortality in TNBC. Next, in Univariate Cox proportional hazard regression analysis revealed that tumor status, lymph node metastasis, histological grade, ALP levels and LDH levels were predictive factors of prognosis for DFS and OS in TNBC patients. Multivariate regression analysis confirmed that tumor status, lymph node metastasis, ALP levels (HR 1.826(95 % CI 1.179-2.828), P=0.007 for DFS and HR 1.772(95 % CI 1.164-2.698), P=0.008 for OS) and LDH levels (HR 1.577(95 % CI 1.027-2.422), P=0.038 for DFS and HR 1.700(95 % CI 1.126-2.567), P=0.012 for OS) were independent prognostic factors (Table 3).
Table 3

DFS and OS in triple negative breast cancer patients by univariate and multivariate analyses

VariablesOverall SurvivalDisease-free Survival
Univariate analysisMultivariate analysisUnivariate analysisMultivariate analysis
HR(95%CI)p valueHR(95%CI)p valueHR(95%CI)p valueHR(95%CI)p value
Age (years) (≤50 vs. >50)1.268(0.862-1.866)0.2291.296(0.892-1.883)0.174
Menopause (no vs. yes)1.046(0.713-1.533)0.8201.022(0.706-1.481)0.907
Tumor Size (≤2.0cm vs. >2.0cm)1.468(0.955-2.257)0.0801.514(0.999-2.295)0.050
Tumor status
T11 (Reference)1 (Reference)1 (Reference)1 (Reference)
T21.784(1.067-2.983)0.027*1.543(0.910-2.615)0.1071.779(1.088-2.907)0.022*1.515(0.915-2.506)0.106
T32.927(1.443-5.935)0.003*2.303(1.067-4.971)0.034*2.879(1.441-5.753)0.003*2.149(1.012-4.562)0.046*
T45.308(2.687-10.487)<0.001*4.135(1.974-8.661)<0.001*5.744(2.981-11.066)<0.001*4.576(2.268-9.236)<0.001*
Lymph node metastasis
N01 (Reference)1 (Reference)1 (Reference)1 (Reference)
N11.536(0.942-2.505)0.0860.959(0.570-1.612)0.8741.372(0.856-2.200)0.1890.856(0.518-1.414)0.544
N23.219(1.999-5.182)<0.001*1.885(1.112-3.196)0.019*3.125(1.974-4.948)<0.001*1.879(1.130-3.123)0.015*
N36.426(3.327-12.413)<0.001*4.724(2.400-9.299)<0.001*4.862(2.554-9.254)<0.001*3.581(1.853-6.920)<0.001*
Histological grade
G1+ G21 (Reference)1 (Reference)1 (Reference)1 (Reference)
G31.839(1.249-2.708)0.002*1.440(0.958-2.164)0.0791.837(1.263-2.670)0.001*1.417(0.956-2.102)0.082
BMI (≤25 vs. >25)1.090(0.705-1.686)0.6971.229 (0.815-1.855)0.325
ALP (low vs. high)2.126(1.451-3.117)<0.001*1.826(1.179-2.828)0.007*2.152(1.484-3.121)<0.001*1.772(1.164-2.698)0.008*
LDH (low vs. high)2.191(1.469-3.269)<0.001*1.577(1.027-2.422)0.038*2.286(1.554-3.364)<0.001*1.700(1.126-2.567)0.012*
* P < 0.05, statistically significant.

Discussion

TNBC is a diverse and heterogeneous group of breast cancer simply defined by the absence of ER, PR and HER2 amplification16. Besides the TNM stage, tremendous studies have been carried out on identifying reliable prognostic factors in TNBC. In recent years, some studies have demonstrated the prognostic value of blood parameters and serum parameters, which are inexpensive, accurate, identified by easy method of detection and validated. Although underlying mechanism is unclear, increased pretreatment blood parameters and serum parameters have been confirmed to associate with prognosis of several cancers, such as neutrophil-to-lymphocyte ratio (NLR)17, 18, lymphocyte-to-monocyte ratio (LMR), monocyte count19, platelet-to-lymphocyte ratio (PLR)20, fibrinogen21 haptoglobin 22and C-reactive protein23. The serum levels of ALP and LDH are routine diagnostic tests in clinical laboratories. In this paper, we focus on the pre-treatment serum ALP and LDH levels and explore the prognostic value of them in TNBC patients. ALP is a nonspecific enzyme whose total serum levels reflect the combined activity of several isoenzymes found in the liver, kidney, intestinal lining and bone24. An electron microscopic cytochemistry study showed that in nucleolar localization ALP could indicate proliferation 25. During the cell cycle, in the nucleolus of cancer cells, ALP activity higher and changes in localization 26. Von Hoof et al. 27 and Steiber et al.28 found that in non-metastatic breast cancer there are no significant differences in ALP levels. However, others have found a significant rise in ALP in metastasis 29. Recent small-scale studies suggested that a significant increase in serum ALP was observed in breast cancer patients 30, 31 and it has consistently been shown to predict liver metastases32 and bone metastases33, 34. It was widely recognized that a shift to aerobic glycolysis is a hallmark of most cancer cells35. LDH is a metabolic enzyme which catalyzes the interconversion of pyruvate and lactate. LDH level is increased during some important pathological process such as tissue injury, hypoxia and necrosis. In addition, various cancer cells express a higher LDH level than normal cells and the elevation of LDH might influent the tumor metabolism and microenvironment which may promote tumor progression 36. Thus, the potential role of LDH as a prognostic biomarker in oncology has long been recognized 35, 37, 38. A higher level of LDH is significantly associated with poor survival in terminal cancer patients which confirmed by several studies. 39, 40. In bisphosphonate-treated breast cancer patients, an analysis demonstrated that LDH levels correlate with survival in patients with bone metastases 41. In Previous researches, it was strongly indicated the valuable prognostic roles of ALP and LDH in cancer. However, little is known about the ALP and LDH prognostic value in TNBC patients. In the present study, we applied receiver operating curve (ROC) analysis to calculate optimal cutoff values for the pre-treatment serum ALP or LDH level. With the highest Youden's index, the cutoff values of ALP and LDH in the present study were 66.5 u/L and 160.5u/L, respectively. Then, through clinical pathological features analyzing, we discovered that both of ALP and LDH expression levels were related to the age, menstrual status and LN Infiltrated. Meanwhile, LDH also associated with BMI. In survive analysis, we examined the prognostic value of pre-treatment ALP and LDH to predict the long-term outcome of TNBC patients and found that ALP and LDH were independent predictors for DFS and OS. What's more, patients with ALP >66.5 u/L and LDH>160.5u/L had the worst DFS and OS. Univariate and multivariate regression analyses confirmed ALP levels and LDH levels were independent unfavorable prognostic factors for DFS and OS in TNBC patients. Synthesize the above results, this study currently represents the first one evaluating the prognostic value of pre-treatment ALP and LDH levels in TNBC patients. We must acknowledge that there are several limitations in our analysis which connected to its retrospective design. First, the data were obtained from a single institution. In addition, there may have been a lack of uniformity because enrolled patients not received a unified treatment which may influence patients' survival. In recent studies, depending on the gene expression profile, TNBC can be classified into seven subtypes and the different subtypes are different sensitivities to treatment 42, 43. Further prospective studies are therefore warranted to confirm these preliminary results and to investigate the correlations between TNBC subtypes and the serum levels of ALP and LDH. In conclusion, our present study demonstrated that the pre-treatment serum ALP and LDH levels are independent prognostic factors for predicting the outcomes for TNBC patients. It may help clinicians to assess the risks of relapse and death in TNBC patients. In the future, the value and the most sensitive cut-off points of serum ALP and LDH required large clinical trials to determine.
  42 in total

1.  Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies.

Authors:  Brian D Lehmann; Joshua A Bauer; Xi Chen; Melinda E Sanders; A Bapsi Chakravarthy; Yu Shyr; Jennifer A Pietenpol
Journal:  J Clin Invest       Date:  2011-07       Impact factor: 14.808

Review 2.  Triple-negative breast cancer.

Authors:  William D Foulkes; Ian E Smith; Jorge S Reis-Filho
Journal:  N Engl J Med       Date:  2010-11-11       Impact factor: 91.245

3.  The preoperative plasma fibrinogen level is an independent prognostic factor for overall survival of breast cancer patients who underwent surgical treatment.

Authors:  Jiahuai Wen; Yanning Yang; Feng Ye; Xiaojia Huang; Shuaijie Li; Qiong Wang; Xiaoming Xie
Journal:  Breast       Date:  2015-10-16       Impact factor: 4.380

Review 4.  Lactate dehydrogenase 5: an old friend and a new hope in the war on cancer.

Authors:  Katarzyna Augoff; Anita Hryniewicz-Jankowska; Renata Tabola
Journal:  Cancer Lett       Date:  2014-12-17       Impact factor: 8.679

Review 5.  Dissecting the heterogeneity of triple-negative breast cancer.

Authors:  Otto Metzger-Filho; Andrew Tutt; Evandro de Azambuja; Kamal S Saini; Giuseppe Viale; Sherene Loi; Ian Bradbury; Judith M Bliss; Hatem A Azim; Paul Ellis; Angelo Di Leo; José Baselga; Christos Sotiriou; Martine Piccart-Gebhart
Journal:  J Clin Oncol       Date:  2012-03-26       Impact factor: 44.544

6.  Serum alkaline phosphatase changes predict survival independent of PSA changes in men with castration-resistant prostate cancer and bone metastasis receiving chemotherapy.

Authors:  Guru Sonpavde; Gregory R Pond; William R Berry; Ronald de Wit; Andrew J Armstrong; Mario A Eisenberger; Ian F Tannock
Journal:  Urol Oncol       Date:  2010-10-02       Impact factor: 3.498

7.  The predictive value of alkaline phosphatase and lactate dehydrogenase for overall survival in patients with esophageal squamous cell carcinoma.

Authors:  Xiao-Li Wei; Dong-Sheng Zhang; Ming-Ming He; Ying Jin; De-Shen Wang; Yi-Xin Zhou; Long Bai; Zhe-Zhen Li; Hui-Yan Luo; Feng-Hua Wang; Rui-Hua Xu
Journal:  Tumour Biol       Date:  2015-09-01

8.  Nuclear localization of alkaline phosphatase in cultured human cancer cells.

Authors:  Koji Yamamoto; Takumi Awogi; Keiji Okuyama; Nobuo Takahashi
Journal:  Med Electron Microsc       Date:  2003-03

9.  The effect of alkaline phosphatase and intrahepatic metastases in large hepatocellular carcinoma.

Authors:  Jong Man Kim; Choon Hyuck David Kwon; Jae-Won Joh; Jae Berm Park; Justin Sangwook Ko; Joon Hyeok Lee; Sung Joo Kim; Cheol-Keun Park
Journal:  World J Surg Oncol       Date:  2013-02-21       Impact factor: 2.754

10.  Evaluation of the anti-tumor effects of lactate dehydrogenase inhibitor galloflavin in endometrial cancer cells.

Authors:  Xiaoyun Han; Xiugui Sheng; Hannah M Jones; Amanda L Jackson; Joshua Kilgore; Jessica E Stine; Monica N Schointuch; Chunxiao Zhou; Victoria L Bae-Jump
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Journal:  Biomed Res Int       Date:  2018-12-27       Impact factor: 3.411

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