Journal of Biosciences and Medicines, 2014, 2, 44-53
Published Online June 2014 in SciRes. http://www.scirp.org/journal/jbm
http://dx.doi.org/10.4236/jbm.2014.24008
How to cite this paper: Ye, S.F., et al. (2014) Prospective Clinical Application of Thioredoxin Reductase as a Novel Diagnos-
tic Tumor Marker. Journal of Biosciences and Medicines, 2, 44-53. http://dx.doi.org/10.4236/jbm.2014.24008
Prospective Clinical Application of
Thioredoxin Reductase as a Novel
Diagnostic Tumor Marker
Suofu Ye1,2*, Nong Yang3*, Weiwei Ma1,2, Yanran Fu1,2, Lin Wu4, Yueqin Li4, Lihui Liu5,6,
Yi Hui1,2, Yu Qiu3, Siqing Mei7, Yan Li7#, Huihui Zeng1,2,4#
1Health Science Center, Peking University, Beijing, China
2State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing, China
3Department of Medical Oncology, Hunan Provincial Tumor Hospital, Changsha, China
4Keaise Clinical Examination Lab, Wuhan, China
5Keaise Medicine (Tianjin) Co., Ltd, Tianjin, China
6Tianjin International Joint Academy of Biotechnology and Medicine, Tianjin, China
7Department of Clinical Laboratory, Renmin Hospital, Wuhan University, Wuhan, China
Email: #yanlitf@yahoo.com.cn, #zenghh@bjmu.edu.cn
Received April 2014
Abstract
Background: Developing a novel, efficient biomarker for detecting malignant tumors is essential
for the early diagnosis of cancers. Our aim was to assess the diagnostic value of a potential plasma
tumor marker, thioredoxin reductase (TR), which is expressed in many types of malignant tumor,
for the non-invasive detection of cancers. Methods: The plasma activities of TR were measured in
1513 patients with common clinical diseases, 59 patients with benign tumors, and 154 patients
with cancers and 586 healthy controls. The area under the ROC curve (AUC) of TR and logistic re-
gression results of different groups were compared by sensitivity, specificity and Youden’s index.
Diagnostic cut-offs and clinical reference intervals were established via ROC curve analysis. Re-
sults: The logistic regression indicated that TR activity can discriminate between cancers and be-
nign tumors or other common diseases very well (p < 0.0001), with an area under the curve from
the receiver-operator characteristics between 0.91 and 0.96. The positive critical value was 2.51
and the cancer critical value was 9.90. The diagnostic gray zone (2.51 - 9.90) may be associated
with benign tumors and some common clinical diseases. Conclusion s: As a novel potential marker
of malignant tumors with quantitative evaluation of proliferation, TR activity detection has an ex-
cellent diagnostic potential for early-stage malignant tumo rs. Impact: The convenient, economical,
relatively non-invasive, and reproducible detection method of TR activity makes it suitable for
routine clinical practice.
Keywords
Thioredoxin Reductase, Diagnostic Marker, Cancer, Malignant Tumor, TR Acti vity, Abnormal
*Suofu Ye and Nong Yang contributed equally to this work.
#
Corresponding authors.
S. F. Ye et al.
45
Hyperplasia, Proliferation
1. Introduction
Cancer is the second most common cause of death worldwide, exceeded only by heart disease, and accounts for
nearly 1 in every 4 deaths. Development of an efficient biomarker for the early diagnosis of cancer is an impor-
tant step in reducing mortality from this disease.
Thioredoxin reductase (TR) is a homodimeric flavoenzyme that catalyzes the reduction of thioredoxin (Trx),
which is widely expressed in tissue. Several studies have shown that TR is induced in both tumor cells and
pre-neoplastic cells [1] [2]. Up-regulation of TR has also been found in lung malignancies such as non-small cell
carcinoma [3], malignant mesothelioma [4] [5], glioblastoma multiforme [6], thyroid cancer [7], oral squamous
cell carcinoma [8], breast cancer [9], pancreatic cancer [10], prostate cancer [11], hepatocellular carcinoma [12],
astrocytic brain tumors [13], and in tumor nodules in a model of hepatocellular carcinogenesis [14]. The
up-regulation of TR in tumors could reflect its role in DNA synthesis and in coping with increased oxidative
stress, but might also be linked to the regulatory response mediated by p53, indicating that TR is particularly re-
levant in highly malignant cancers.
Previous studies established the potential of TR as a biomarker in the development of improved diagnostics.
Therefore, for the first time, our group applied thioredoxin reductase (TR) detecting method into clinical cancer
diagnosis, which was approved by China Food and Drug Administration (CFDA).
It was previously demonstrated that plasma TR activity differs significantly between healthy individuals and
those with cancers [15]. However, to date, the plasma TR activity reference intervals for the clinical diagnosis of
cancer remains unclear and it is not known if there is an association between plasma TR activities and cancer in
patients with gray-zone TR levels.
In the present study, we investigated the plasma TR activities of healthy controls, patients with 12 kinds of
common, non-malignant disease, benign tumors, and malignant tumors. We set up a clinical TR reference inter-
val for cancer diagnosis, and determined the cut-off values using a receiver-operator characteristic (ROC) curve,
established the diagnostic efficiency, and assessed disease and cancer detection in patients with gray-zone TR
levels.
2. Materials and Met hods
2.1. Study Groups
Data on 2,312 subjects between October 2011 and October 2013 were collected from Chinese hospitals and
medical center databases: 193 from Beijing, 345 from Tianjin, 849 from Shandong, 755 from Hubei, 110 from
Hunan and 60 from Zhejiang. Four groups of subjects were included in the study: 586 [25.35%] healthy control
subjects, 1513 [65.44%] patients with clinical, non-malignant common diseases, 59 [2.55%] patients with be-
nign tumors and 154 [6.66%] patients with cancer. All subjects filled in the informed consent and provided a
plasma sample. The study was carried out according to the Helsinki Declaration and approved by the Ethical
Committee of Peking University.
2.2. Control Subjects
We enrolled control subjects with no smoking, alcoholism or illegal drug use, all of whom were screened by
complete physical examination and routine clinical examinations, including electrocardiogram (ECG), standard
blood and urine tests, blood biochemistry, chest X-ray film examination, and type-B ultrasound checks.
2.3. Subjects with Common Non-Malignant Diseases
The principle inclusion criteria for this group were a clear medical history and imaging results revealing a spe-
cific, non-malignant disease. These were hyperglycemia, fatty liver, hypertension, benign prostatic hyperplasia
(BPH), uterine fibroids, pure breast hyperplasia, liver cyst, renal cyst, kidney calculi, gallstone, and gallbladder
polyp.
S. F. Ye et al.
46
2.4. Subjects with Benign Tumors
The clinical diagnosis was confirmed by a CT scan, type-B ultrasound checks, endoscopic exploration, and his-
topathological examination. The subjects were selected on the basis of presence of benign tumor only, including
24 [40.68%] benign lumps, 7 [11.86%] lipoma, 19 [32.20%] fibroadenoma, and 9 [15.25%] fibrocystic disease.
2.5. Subjects with Cancer (Malignant Tumor)
All the cancers were confirmed by patient history taking, complete physical examination, a CT scan, type-B ul-
trasound checks, endoscopic exploration, and histopathological and cytological examination. The date of these
examinations was considered as the date of cancer diagnosis. Lung cancer, hepatic carcinoma, colorectal cancer,
gastric cancer, lymphoma, cervical cancer, cervical metastatic cancer, esophageal cancer, bone cancer, naso-
pharyngeal carcinoma, breast cancer, kidney cancer, oral cancer, and ovarian cancer cases were all included in
this study (Tab le 1). These subjects were in early stages (stages I and II) and treatment naïve.
2.6. Sample Processing in the Preanalytical Phase
Draw the whole blood from the subjects and centrifuge at 3500 rpm/min, 5 min. The plasma of subjects was ex-
tracted from whole blood and stored at 20˚C.
2.7. Measurement of TR Activity
TR activity was determined spectrophotometrically by monitoring the NADPH-dependent production of 2-nitro-
5-thiobenzoate (extinction coefficient of 13.6001 cm1) at 412 nm and at 37˚C. This was achieved using a 1 -
1.5 ml plasma sample with the Thioredoxin Reductase (TR) Detection Kit (batch number 2010030, Clair-
voyance Health Technology Co., Ltd, Wuhan, China) and a microplate reader (Multiskan Mk3, Thermo Scien-
tific Company), following the manufacturer’s instructions. A unit of TR activity was expressed as 1 micromole
of NADPH oxidized to NADP+ in one minute under assay conditions.
Sensitivity: the lower limit of detection (LOD) was 1.20 U/mL; the linear range was 1.2 - 60.0 U/ml. Accura-
cy: The agreement rate of negative and positive sample groups both reached at 100%. Precision: the coefficients
of variability (CV) within group was 8.11%, the CV between groups was 0%. Stability: under the condition of
37˚C, reagent can be stably stored for 7 days. Thioredoxin Reductase (TR) Detection Kit has been approved by
China Food and Drug Administration (Registration number: No. 3400264 2014).
Table 1. Cancer types of recruited subjects.
Types of cancers Number of subjects Percentage (%)
Lung cancer 43 27.92
Hepatic carcinoma 12 7.79
Colorectal cancer 10 6.49
Gastric canc er 9 5.84
Lymphoma 9 5.84
Cervical cancer 8 5.19
Cervical metastatic cancer 7 4.55
Esophageal cancer 6 3.90
Bone cancer 5 3.25
Nasopharyngeal carcinoma 12 7.79
Breast cancer 18 11.69
Kidney cancer 4 2.60
Oral cancer 6 3.90
Ovarian cancer 5 3.25
Total 154 100
S. F. Ye et al.
47
2.8. Statistical Analysis
The Statistical Package for Social Sciences 15 (SPSS 15) was used for the statistical analysis of the data. The
distribution of plasma TR activity values in the healthy controls, non-malignant disease, benign and cancer
groups were assessed using the Kolmogorov-Smirnov test. All values were expressed as the median and inter-
quartile range because the measured data were markedly skewed. The differences between sex groups were
analyzed using the non-parametric Mann-Whitney test with the Bonferroni correction for multiple comparisons
of age groups. P values <0.05 were considered to be statistically significant. The statistical significance of dif-
ferences in plasma TR activities between groups was determined by logistic regression. The overall risk (OR)
values were calculated to reflect the risk level of a disease developing into a malignancy. To further assess the
ability of TR activity to predict cancer, ROC curves, which correlate true and false positive rates (sensitivity and
1-specificity), were constructed, and an area under the curve (AUC) was calculated for each marker. Youden’s
index (sensitivity + specificity -1) and the cut-off values (the largest Youden’s index) were also calculated to set
up the clinical reference intervals.
3. Results
3.1. Demographic Data
The study cohort consisted of 2312 people with 1726 patients and 586 healthy controls, who were divided into
groups by sex and age as shown in Table 2. The median-interquartile ranges of TR levels did not differ signifi-
cantly between males and females (p > 0.05). TR activities in each group were non-normally distributed by the
Kolmogorov-Smirnov test (p < 0.01), and non-parametic tests were used in the following statistical analysis.
Table 2. TR activity (U/ml) in different gender and age groups.
Group n The percentage of
each group (%) The percentage of people
with malignant cancer (%) Median (IQR) of TR
activity value (U/ml) p-value
Gender 2189a Wilcoxon-Mann-Whitney test
Male 1116 50.98 7.17 1.20c (4.90) 0.97
Female 1073 49.02 4.75 1.20 (4.47)
Age (years) 2191b Bonferroni correction
≤30 381 17.39 2.36 1.20 (3.25)
1.00 (vs 2)
1.00 (vs 3)
1.00 (vs 3)
0.76 (vs 5)
30 - 40 554 25.29 1.99 1.20 (4.69)
1.00 (vs 1)
1.00 (vs 3)
1.00 (vs 4)
0.10 (vs 5)
40 - 50 551 25.15 5.08 1.20 (4.75)
1.00 (vs 1)
1.00 (vs 2)
1.00 (vs 4)
0.74 (vs 5)
50 - 60 402 18.35 8.71 1.20 (5.68)
1.00 (vs 1)
1.00 (vs 2)
1.00 (vs 3)
1.00 (vs 5)
≥60 303 13.83 15.51 1.20 (6.52)
0.76 (vs 1)
0.10 (vs 2)
0.74 (vs 3)
1.00 (vs 4)
agender information lost in 123 cases; bage information lost in 121 cases; cTR value is equal to 1.2 when the real TR activity of the
patient was lower than the detection limits of the TR detection method.
S. F. Ye et al.
48
The median value of TR activity of every age group was 1.20 U/mL, while the interquartile ranges tended to
increase with age, indicating the wide distribution of TR activities. However, no age group was found to be sig-
nificantly different from any others (p > 0.05).
TR activity in non-malignant disease, and benign and malignant tumors. Logistic regression showed that
plasma TR activity was significantly different between healthy controls and patients with hyperglycemia (p <
0.05), hypertension (p < 0.01), liver cysts (p < 0.05), gallstone (p < 0.05), benign tumors (p < 0.0001), and ma-
lignant tumors (p < 0.0001) as shown in Table 3.
The OR for the benign and malignant groups were both greater than 1, as was the 95% confidence interval of
the OR, indicating that TR activity is sufficient to distinguish between healthy controls and those with benign or
mali gnant tumors. The OR values of hyperglycemia, hypertension, liver cysts, gallstones were slightly higher
than 1, indicating the diagnostic potential of TR activities in these diseases. As shown in Table 3, the median
TR activity (1.20 U/mL) and the interquartile range (5.97 U/mL) of the benign group was significantly lower
than those of the malignant group (median = 13.78 U/mL, interquartile range = 8.8 U/mL) (p < 0.01). The hete-
rogeneity of tumor specimen may result in a great distribution of TR activities in malignant group; however, a
significant higher OR value between malignant tumor group (1.35) compared to the benign tumor group (1.12)
suggested its significant diagnostic capability for malignancy.
3.2. The Diagnostic Efficiency of TR Activity between Malignant and
Non-Malignant Disease
Given the complicated background of patients with various diseases, TR activity should not only be used to dis-
tinguish between patients with malignant disease and healthy controls, but also between those with benign tu-
mors or non-malignant disease. Logistic regression analysis indicates that TR activity can be used to discrimi-
nate between malignant and benign tumors, as well as between malignant tumors and non-malignant disease (p
< 0.0001; Table 4). As shown in Fig ure 1 and Table 4, the AUCs of TR in malignant and benign tumors or
non-malignant disease are 0.91 - 0.96, suggesting that TR is statistically significant to distinguish malignant
disease from other cases.
Table 3. Diagnostic value of TR activity (U/ml) in different diseases.
Disease N Median IQR p-va lueb OR 95% CI
Healthy control 586 1.20c 2.22
Malignant tumor 154 13.78 8.80 <0.0001 1.35a (1.29, 1.41)
Non-malignant disease
Hypergl yce mia 37 1.20 7.02 0.0009 1.06 (1.02, 1.09)
Fatty liver 416 1.20 3.25 0.19 1.02 (0.99, 1.04)
Hypertension 169 1.20 6.00 0.0006 1.06 (1.03, 1.10)
BPH 50 1.20 5.93 0.09 1.04 (0.99, 1.08)
Benign tumor 59 1.20 5.97 <0.0001 1.12 (1.07, 1.17)
Uterine fibroids 44 1.20 2.82 1.00 1.00 (0.94,1.07)
Pure breast hyperplasia 405 1.20 3.62 0.22 1.02 (0.99, 1.05)
Liver cyst 108 1.20 5.79 0.04 1.04 (1.00, 1.08)
Renal cyst 76 1.20 4.33 0.24 1.03 (0.98, 1.07)
Kidney calculi 77 1.20 5.03 0.08 1.04 (1.00, 1.08)
Gallstone 82 1.90 5.40 0.03 1.04 (1.01, 1.08)
Gallbladder polyp 49 1.20 4.28 0.55 1.02 (0.96, 1.07)
aThe OR value of the malignant group was 1.35, signifying a 1.35 fold increase in risk of developing malignancy if TR activity increases
by one unit; bP value for logistic regression; cTR value is equal to 1.2 when the real TR activity of the patient was lower than the
detection limits of the TR detection method.
S. F. Ye et al.
49
Fig ure 1. ROC analysis of the healthy control vs. non-malignant disease group, and the
benign vs. malignant tumor groups.
Table 4. Diagnostic value of TR activity for malignant tumors.
Disease Pf ORa 95% CIb AUCc (95% CI) Cut-o ff Sed Spe Youden Index
Hypergl yce mia <0.0001 1.43 (1.28, 1.61) 0.91 (0.86, 0.96) 3.48 1.00 0.62 0.62
Fatty liver <0.0001 1.24 (1.19, 1.29) 0.95 (0.93, 0.96) 3.74 0.99 0.78 0.77
Hypertension <0.0001 1.36 (1.28, 1.45) 0.91 (0.88, 0.94) 5.37 0.91 0.73 0.64
BPH <0.0001 1.42 (1.29, 1.58) 0.91 (0.86, 0.96) 6.49 0.88 0.80 0.68
Benign tumor <0.0001 1.55 (1.37, 1.75) 0.94 (0.55, 0.81) 9.90 0.78 0.95 0.73
Uterine fibroids <0.0001 1.67 (1.42, 1.96) 0.96 (0.92, 1.00) 4.32 0.96 0.84 0.80
Pure breast hyperplasia <0.0001 1.45 (1.36, 1.54) 0.95 (0.94, 0.97) 5.03 0.92 0.86 0.78
Liver cyst <0.0001 1.40 (1.30, 1.51) 0.92 (0.89, 0.96) 6.25 0.89 0.81 0.70
Renal cyst <0.0001 1.50 (1.33, 1.61) 0.93 (0.90, 0.97) 6.62 0.88 0.86 0.74
Kidney calculi <0.0001 1.40 (1.29, 1.53) 0.92 (0.88, 0.96) 6.50 0.88 0.83 0.71
Gallstone <0.0001 1.47 (1.33, 1.61) 0.93 (0.90, 0.96) 6.25 0.89 0.82 0.71
Gallbladder polyp <0.0001 1.64 (1.42, 1.90) 0.96 (0.93, 0.98) 4.93 0.92 0.82 0.74
aodds ratio; bconfidence interval; carea under curve; dsensitivity; especificity; fP values for logistic regression.
3.3. Evaluation of TR Diagnostic Parameters
The sensitivity, specificity, and Youden’s index (Table 4) of TR were calculated according to the ROC curves
and the stepwise logistic regression. The sensitivities of TR for distinguishing malignant tumors from non-ma-
lignant diseases are from 0.78 to 1.00, among which hyperglycemia revealed the highest sensitivities and benign
S. F. Ye et al.
50
tumors revealed the lowest. The specificity of TR activity ranged between 0.62 and 0.95, among which benign
tumor was the highest and hyperglycemia the lowest. The Youden’s indexes ranged between 0.62 and 0.80 with
uterine fibroids the highest and hyperglycemia the lowest.
3.4. TR Diagnostic Intervals and Margins of Various Segments
In order to provide reasonable reference intervals to clinical diagnosis, the cut-off value of the healthy volunteer
versus non-malignant group (2.51) was set as the positive critical value while the cut-off value for the benign
versus malignant groups (9.90) was set as the malignant tumor critical value (Figure 1). The interval between
the positive critical value and malignant tumor critical value is a clinical diagnostic ‘gray area’.
In order to further characterize this diagnostic gray zone, the cut-off values of the non-malignant disease
group and malignant tumor group were calculated (Table 4). Results have shown that these cut -off values
ranged from 3.48 to 6.62 dependent on various diseases, all of which were lower than the malignant tumor criti-
cal value (9.90). These data also suggested that the diagnostic gray zone (2.51 - 9.90) may be associated with
high blood pressure, high blood sugar, fatty liver, prostate hyperplasia, breast hyperplasia, uterine fibroids, liver
cysts, renal cysts, kidney stones, gallstones, gallbladder polyps, and benign tumors (Figure 2).
4. Discussion
TR is an important part of thioredoxin system that is involved in many central intracellular and extracellular
processes including cell proliferation, redox regulation of gene expression and signal transduction, protection
against oxidative stress, inhibition of apoptosis, growth factor and co-cytokine response, and regulation of the
redox state of the extracellular environment [2]. Previous studies suggested that TR expression in tumor cells is
ten timeshigher than that in normal tissue [16]. Immunocytochemistry have been used to simultaneously deter-
mine the expression and localization of TR in primary human cancers, including breast cancer, thyroid, prostate
and colorectal carcinoma, and malignant melanoma, showing greatly over-expressed TR in aggressive tumors
with a high proliferation capacity, a low apoptosis rate and an elevated metastatic potential [2]. A correlation
between the expression level of TR and degree of differentiation/proliferation has also been observed in human
lung cancer [17] and in cell lines derived from mesothelioma [18] [19]. Taken together, these findings strongly
suggest an essential role for TR in oncogenesis and hypothesize its potential as a novel marker of a wide range
of human malignant tumors, capable of allowing early diagnosis and indicating the level of abnormal hyperpla-
sia.
In this study, the healthy volunteers and patients were randomly enrolled from multiple medical centers on the
basis of a comprehensive and integrated examination and accurate diagnosis. Statistical analyses showed no dif-
ference in plasma TR activity with respect to sex and age, suggesting that these would not be confounding fac-
tors in screening.
Figure 2. The cut-off values of the non-malignant disease and malignant tumor groups.
S. F. Ye et al.
51
Statistical analyses showed that the median values of TR activity of the healthy control, benign and malignant
group was 1.20 U/mL, 1.20 U/mL, and 13.78 U/mL, with interquartile ranges of 2.22 U/mL, 5.97 U/mL, and
8.80 U/mL, respectively (p < 0.01). The wide distribution of TR activities in malignant cases may reflect varia-
tions of TR activity in the different cancers.
The plasma TR level was associated with tumor differentiation and proliferation. Hence, similar clinical pro-
liferative diseases and benign tumors may also lead to elevated TR activity. Logistic regression is a multivariate
model suitable for comparing the diagnostic validity of tumor markers in patients with different diseases. The
logistic regression indicated that TR activity can effectively discriminate between patients with malignant tu-
mors and those with benign tumors or other non-malignant diseases (p < 0.0001). Likewise, the AUCs for TR
activity in cases of malignant and benign tumors or non-malignant disease were 0.91 - 0.96, suggesting a high
diagnostic potential of TR for malignant tumors, even in the background of other diseases.
The AUC and Youden’s index (sensitivity + specificity 1) reveal diagnostic potential, and help to establish
an optimal cut-off value (the highest Youden’s index) for distinguishing between malignant and non-malignant
cases. The cut-off value to distinguish between the healthy control and non-malignant disease groups was 2.51,
which was set as the positive critical value. The cut-off value for distinguishing between the benign and malig-
nant groups was 9.90, which was set as the malignant tumor critical value. The interval between the positive
critical value and malignant tumor critical value is defined as a clinical diagnostic ‘gray zone’.
Based on the logistic regression, the OR for the malignant group was 1.35, defining the risk of developing
cancer increases 1.35 times if the TR activity increases by one unit, and may indicate that individuals with
plasma TR activities exceeding 9.90 are more than 11.03 times (=1.358) more likely to develop cancer. The cut-
off values for the non-malignant diseases group and the malignant tumor group ranged from 3.48 to 6.62, all of
which were lower than the malignant tumor critical value (9.90). This suggests that the diagnostic gray zone
(2.51 - 9.90) may be associated with high blood pressure, high blood sugar, fatty liver, prostate hyperplasia,
breast hyperplasia, uterine fibroids, liver cysts, renal cysts, kidney stones, gallstones, gallbladder polyps, and
benign tumors. However, TR activity can significantly discriminate malignant tumor cases from both benign
tumors and other non-malignant diseases, suggesting that other clinical backgrounds do not interfere with TR-
instructed cancer diagnosis. However, the risk of tumor transformation from benign tumors and other prolifera-
tive diseases indicates that this diagnostic gray zone may be of importance in early-stage cancer prognosis.
Apart from the elevated TR values in hyperplasia, a correlation between TR activity and some non-prolifera -
tive diseases has also been observed. Previous studies found that Trx and TR mRNA levels were elevated in
endothelial cells and macrophages within atherosclerotic plaques, indicating that the thioredoxin system plays an
important role in arterial neointima formation during atherosclerosis [20]. It was also found that TR regulates
vascular relaxation via antioxidant defense and sGC S-nitrosylation, revealing that TR may be an important tar-
get for the treatment of vascular dysfunction and arterial hypertension [21]. The level of TR decreased in vascu-
lar smooth muscle cells in vitro when glucose concentration levels were high, primarily due to increased vascu-
lar expression of an endogenous inhibitor, thioredoxin-interacting protein (Txnip), and reduced thioredoxin ac-
tivity, which are normalized by insulin treatment [22]. In this study, we found elevated plasma TR activity in
cases of hypertension and hyperglycemia, which were significantly different from those of the healthy control
and malignant tumor groups (p < 0.001). However, it is not clear how, or even if elevated TR activity contri-
butes to either of these diseases, and the use of TR activity in predicting these diseases requires further valida-
tion.
In 2011, the US National Cancer Institute listed 31 tumor markers for cancer diagnosis, among which 17 were
detected in the blood. As a novel potential tumor marker in blood, a critical advantage of TR activity is that it
can predict cancers with a sensitivity of 78% - 100%, much higher than commonly used clinical tumor markers,
such as CEA (sensitivity 14% - 72.9% in different cancers) [23]-[30], AFP (sensitivity 25% - 72.1%) [31], and
CA125 (sensitivity 3.1% - 68.2%) [24] [26] [32]. Moreover, by indicating the level of proliferation, TR activity
has great potential to predict tumorigenesis at an earlier stage for a wider range of cancers.
The World Health Organization considers that more than 40% of cancers are preventable [33]. Thus, cancer
prevention with early-stage screening is becoming increasingly important. As a novel potential marker of ma-
lignant tumors with quantitative evaluation of proliferation, TR activity detection has an excellent diagnostic
potential for early-stage malignant tumors. Furthermore, this convenient, economical, relatively non-invasive,
and reproducible detection method of TR activity makes it suitable for routine clinical practice.
S. F. Ye et al.
52
Acknowle d gme nt s
This work was supported in part by the National Natural Science Foundation [81372266].
Conflict of Interest Statement
We declare that we have no financial and personal relationships with other people or organizations that can in-
appropriately influence our work, there is no professional or other personal interest of any nature or kind in any
product, service and/or company that could be construed as influencing the position presented in, or the review
of, the manuscript entitled.
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