Literature DB >> 27471555

Complement Component 1, s Subcomponent Overexpression is an Independent Poor Prognostic Indicator in Patients with Urothelial Carcinomas of the Upper Urinary Tract and Urinary Bladder.

I-Wei Chang1, Victor Chia-Hsiang Lin2, Wen-Jen Wu3, Peir-In Liang4, Wei-Ming Li5, Bi-Wen Yeh5, Hong-Lin He6, Alex Chien-Hwa Liao7, Ti-Chun Chan8, Chien-Feng Li9.   

Abstract

PURPOSE: Urothelial carcinoma of the urinary bladder and upper tract is prevalent. By subjecting a documented transcriptome data set of urothelial carcinoma of bladder (GSE31684) to data mining and focusing on genes linked to peptidase activity (GO:0008233), we recognized C1S as the most significantly upregulated gene related to an advanced tumor status and metastasis. We subsequently analyzed the association of both C1S mRNA and its encoded protein expression with the clinical and pathological significance.
MATERIALS AND METHODS: We used real-time reverse transcription polymerase chain reaction to detect C1S transcription levels in 20 cases each of urothelial carcinoma of bladder and upper tract. An immunohistochemical stain was conducted to determine C1s protein expression levels in patients with urothelial carcinoma of upper tract (n = 340) and urinary bladder (n = 295). Furthermore, we examined the correlation of C1s expression with clinicopathological characteristics, disease-specific survival, and metastasis-free survival.
RESULTS: C1S transcription levels were significantly high in patients with advanced-stage tumors of both groups (all P < .05). Immunohistochemical analysis revealed that C1s expression levels were significantly associated with adverse clinicopathological parameters in both groups of urothelial carcinoma (all P < .05). C1s overexpression predicted poor disease-specific and metastasis-free survival rates for both urothelial carcinoma groups in the univariate analysis, and it was also an independent prognostic factor in the multivariate analysis (all P < .05).
CONCLUSIONS: C1s may play a pivotal role in urothelial carcinoma progress and can represent a vital prognostic marker and a promising new therapeutic target in urothelial carcinoma.

Entities:  

Keywords:  C1S gene; Complement component 1s; Prognosis.; Urothelial carcinoma

Year:  2016        PMID: 27471555      PMCID: PMC4964123          DOI: 10.7150/jca.15339

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


Introduction

Urothelial carcinomas (UCs) originate from the urothelial cells, the epithelial lining of the entire urinary tract from the upper urinary tract (UT) to urinary bladder (UB). The former consists of the renal pelvis and ureter. UC is the predominant histopathological type of UT malignancy, constituting >90% cases of UT cancer in developed countries.1 UC of the UB (UCUB) is a relatively common cancer in developed countries. For instance, it is the seventh most prevailing malignancy in the United States.2 In contrast to the relatively high prevalence of UCUB, UC of the UT (UCUT) is uncommon and forms only five to ten percent of all victims of UC.3 Nevertheless, the prevalence of UCUT is exceptionally high in Taiwan, particularly in southern Taiwan and blackfoot-disease-endemic areas.4,5 Etiologically, both UCUB and UCUT are caused by similar carcinogenic factors (e.g., tobacco smoking and occupational hazard of aromatic amines).6-8 However, certain diseases predispose patients to UCUT rather than to UCUB, such as Chinese herb nephropathy,9 Balkan nephropathy,9 and analgesic nephropathy.10 Nonetheless, the gene expression profiling of both UCUTs and UCUBs revealed similar results.11 In addition, the survival rates of patients in both groups were similar, considering the tumor stage and grade.12 These findings indicate that both UCUT and UCUB share a molecular pathway. The immune system is a double-edged sword to cancer. It can recognize and kill nascent tumor cells through a complex mechanism called cancer immunosurveillance.13 By contrast, chronic inflammation induced by variable etiologies contributes to tumorigenesis in certain cancers.14 The complement system is an essential pathway in immunology and is implicated in cancer development, progression and susceptibility;15-17 the components of the complement system exhibit peptidase activity.18 Recently, various peptidases have been investigated in different cancers, thus revealing their prognostic value.19,20 However, neither genes associated with peptidase activity nor the complement system are comprehensively and systemically evaluated in UC. Therefore, we conducted data mining on a documented transcript expression profile (GSE31684) obtained from the Gene Expression Omnibus (GEO, National Center for Biotechnology Information, Bethesda, MD, USA) repository and focused on peptidase activity (GO:0008233). We found that the transcription level of the complement component 1, s subcomponent (C1S) was most momentously upregulated, which was positively associated with both tumor invasiveness and metastases. This finding indicates that the C1S gene may take an important part in oncogenesis and tumor progression of UC. In the following research, we found C1S transcriptional levels were significantly higher in more advanced tumors. In addition, we firstly demonstrated that C1s protein overexpression was not only significantly associated with adverse clinicopathological features, but also a novel prognostic factor indicating poor outcome in both UCUTs and UCUBs.

Materials and Methods

Data Mining of GSE31684 to Identify the Most Significantly Altered Genes

The transcriptome data set GSE31684 used for data mining was obtained from the GEO repository of NCBI. A GeneChip® Human Genome U133 Plus 2.0 array (Affymetrix, Santa Clara, CA, USA) was used for analyzing the data set (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31684) involving radical cystectomy specimens from 93 patients with UCUB. We used Nexus Expression 3 statistical software (BioDiscovery, El Segundo, CA, USA) to analyze all probe sets without filtering or preselection. Furthermore, under supervision, we analyzed the statistical significance of each differently expressed transcript by comparing the primary tumor status (high stage to low stage) and the presence or absence of metastatic events. We performed functional profiling by using transcriptomes of high-stage UCUBs (primary tumor [pT]2-pT4) with metastatic disease and of low-stage UCUBs (pTa and pT1) without metastatic tumor, aiming attention at those associated with peptidase activity (GO:0008233).

Patient and Tumor Specimen Selection

This study was approved by the Institutional Review Board (IRB) of Chi Mei Medical Center, Tainan, Taiwan (IRB10302015) and E-Da Hospital, Kaohsiung, Taiwan (EMRP-104-123). We enrolled 635 consecutive surgically treated patients diagnosed with UC with curative intent between 1996 and 2004 from the archives of the Department of Pathology. Among the patients, 295 and 340 had UCUB and UCUT, respectively. Other histopathological entities as well as UC variants were excluded from this study. Patients with synchronous UCUT and UCUB were also excluded. Detailed treatment protocol was the same as our previous work.21

Real-Time Reverse Transcription Polymerase Chain Reaction (RT-PCR) for Assessing the Transcription Levels of C1S in UCUBs and UCUTs

For quantifying the transcription level of C1S, we extracted total RNAs from a recently diagnosed, separate cohort of 20 patients with UCUTs and 20 with UCUBs; we quantified the extracted RNAs and subjected them to a real-time reverse-transcription polymerase chain reaction (qPCR). Both groups comprised 10 low-stage (pTa-pT1) and 10 high-stage (pT2-pT4) tumors. By using predesigned TaqMan assay reagents (Applied Biosystems, Waltham, MA, USA), we assessed the mRNA abundance of C1S (Hs01043795_m1) through the ABI StepOnePlus™ system (Applied Biosystems). We calculated the fold change of C1S gene expression of UC tumors relative to the normal counterparts as previously described.21

Immunohistochemical Study and Evaluation of C1s Expression

Tumor slides were prepared as previously described.21 After that, the slides were subsequently proceeded to incubation with primary antibody against C1s (Rabbit monoclonal, clone: EPR9066 (B), Cat No. ab134943, Abcam, Cambridge, United Kingdom) for 1 hour. We scored C1s protein expression levels by combining the intensity and percentage of immunostaining in the cytoplasm of UC cells to create an H score. The equation for evaluating the H score is as follows: H score = ΣP(i + 1), where Pi represents the percentage of stained tumor cells for each percentage varying from 0% to 100%, and i means the intensity of immunoreactivity (0-3+). This formula yields a score ranging from 100 to 400, where 100 signifies that 100% of the cancer cells are unreactive and 400 signifies that 100% of the cancer cells are strongly immunoreactive (3+).

Statistical Analyses

We used SPSS V.14.0 software (SPSS Inc., Chicago, IL, USA) for statistical analysis. The C1s immunoreactivity median H score was applied as the cutoff point to bisect the two groups, UCUTs and UCUBs, into two subgroups, high- and low-C1s expression, respectively. We applied Pearson's χ2 test to compare the association between C1s expression and miscellaneous important clinicopathological parameters. The end-points analyzed included disease-specific (DSS) and metastasis-free survival (MeFS) as described in our previous work.21 Kaplan-Meier plots with log-rank test were used for univariate analyses, in which parameters demonstrating P < .1 were included in multivariate Cox proportional hazards regression. For the above-mentioned tests, two-tailed testing was conducted, and P < .05 was considered to be significant.

Results

C1S Gene was the Most Significantly Upregulated Gene Associated with Tumor Progression in UCUB Transcriptomes

The analyzed transcriptome data set involved specimens from 93 patients with UCUBs; among these patients, 78 exhibited deeply invasive tumors (pT2-pT4) and 15 exhibited non-invasive or superficially invasive (pTa-pT1), of which 28 demonstrated metastases and 49 did not. Through transcriptome profiling, we identified 12 probes covering 12 transcripts associated with peptidase activity (GO:0008233). Fig. shows that tumors with downregulated USP31, AGBL2, SPPL2B, and MMP28 as well as upregulated C1S, FAP, PCSKS, CPXM1, PCSK1, CPE, ADAMTS3, and PRSS35 tended to have a more advanced pT status and more frequent metastatic events compared with other tumors. As shown in Table after the statistical analysis, the C1S transcript was the most significantly upregulated gene, with 1.4602- and 0.9181-fold log2 ratios compared with those of genes in both deeply invasive (pT2-pT4) and non-invasive to superficially invasive (pTa-pT1) tumors with or without metastases, respectively (both P < .005). No study has examined C1S in UC; therefore, we comprehensively investigated both C1S transcriptional and protein expression levels and their clinical significance in UC.

C1S Transcripts were More Abundant in More Advanced Tumors of Both UCUT and UCUB Groups

Real-time RT-PCR revealed that the C1S transcripts were significantly more abundant in tumors of a higher pT status (pT2-pT4) than in those of a lower pT status (pTa-pT1) in the 20 patients with UCUTs and 20 with UCUBs (P = .001 and .002 for UCUT and UCUB, respectively; Fig. ), suggesting that C1S takes an influential part in UC advancement.

Clinical and pathological Characteristics of UCUTs and UCUBs

Table presents a summary of the clinical and pathological features of both UCUT and UCUB groups. No sex predominance was observed in the UCUT group (M:F = 158:182, 46.5%:53.5%); however, male predominance was observed in the UCUB group (n = 216, 73.2%). Moreover, 159 (46.8%) patients with UCUT and 123 (41.7%) with UCUB had high-stage (pT2-pT4) tumors, whereas 181 (53.2%) patients with UCUTs and 172 (58.3%) with UCUBs had low-stage (pTa-pT1) tumors; 28 (8.2%) patients with UCUTs and 29 (9.8%) with UCUBs had nodal metastases at diagnosis. In both groups, most tumors were of a high histopathological grade (83.5% for UCUT and 81.0% for UCUB, respectively). Vascular invasion and perineural invasion were observed in 106 (31.1%) and 19 (5.6%) patients with UCUT as well as in 49 (16.6%) and 20 (6.8%) patients with UCUB, respectively. Furthermore, 167 (49.1%) patients with UCUT and 156 (52.9%) with UCUB revealed high mitotic activity (10 or more mitoses per 10 high-power fields). In the UCUT group, synchronous multifocal tumors occurred in 62 (18.2%) patients; of these, both renal pelvis and ureter were involved in 49 (14.4%) patients.

C1s Immunostaining and Clinicopathological Correlations in UCUTs and UCUBs

According to the C1s expression levels, both study groups were divided into two subgroups, namely high and low C1s expression, and their association with diverse clinicopathological parameters was analyzed through a chi-squared test (Table . A high C1s expression level in both UCUTs and UCUBs was significantly associated with a stepwise advancement of primary tumor status from pTa and pT1 to pT2-pT4 (both P < .001, Fig. ), metastatic tumors to lymph nodes (P = .006 for UCUT and P < .001 for UCUB), a high histopathological grade (both P < .001), vascular invasion (both P < .001), perineural invasion (P = .034 for UCUT; P = .021 for UCUB), and a high mitotic activity (P = .039 for UCUT; P = .003 for UCUB).

Survival Analyses for the UCUT Group

Table shows the results of the survival analyses for the UCUT group. In the univariate analysis, multifocality, a stepwise advancement of the pT status, nodal metastasis, a high histopathological grade, vascular and perineural invasion were significantly associated with both shorter DSS and MeFS for UCUT tumors (all P < .05). The tumor location was associated with deteriorated DSS rates, but not MeFS rates, in patients with UCUT (P = .0079). In the multivariate analysis, multifocal tumors, nodal metastasis, a high histological grade, and perineural invasion independently predicted both adverse DSS and MeFS rates in patients with UCUT (all P < .05). An advanced pT status was independent prognosticator for the DSS only (P = .015); and vascular invasion was independent one for MeFs only (P = .003).

Survival Analyses for the UCUB Group

Table presents the results of the survival analyses for UCUBs. In the univariate analysis, a stepwise advancement of the primary tumor status (pT), nodal metastasis, a increment of histopathological grade, vascular/perineural infiltration, and a high mitotic activity were positively associated with both poorer disease-specific and metastasis-free survival rates (all P < .05). In the multivariate analysis, a stepwise advancement of the pT status and high mitotic activity were significantly associated with poorer disease-specific and metastasis-free survival rates (all P < .05). By contrast, perineural invasion independently predicted only DSS rates, but not MeFS rates, in patients with UCUB (P = .018).

Prognostic Significance of C1s Immunoreactivity in UCUTs and UCUBs

As shown in Tables and Fig. , a high C1s expression level confers significant poor DSS and MeFS for both groups in the univariate analysis (all P < .0001). Moreover, C1s overexpression independently predicted poor DSS and MeFS rates for all UC patients in the multivariate analysis (all P < .01).

Discussion

UC is cancer type of cancer exhibiting high recurrence rates.22 The survival rate is also poor for patients with advanced disease.23,24 Hence, it is imperative for researchers to investigate new treatment targets in high-risk patients. Chronic inflammation participates in the tumorigenesis of certain cancers, including UC,25,26 by inducing cytokines, growth factors, reactive oxygen species (ROS), and others.14 ROS cause oxidative stress and an oxidation-reduction imbalance. The downregulation of certain proteins causing oxidative stress is also associated with poor prognosis in both UCUT and UCUB.27 By subjecting a published transcriptomic database (GSE31684) of UCUBs to data mining and focusing on peptidase activity (GO:0008233), we identified C1S as the most significantly upregulated gene related to advanced disease. In the ex vivo study, we also demonstrated that the upregulation and overexpression of C1S considering both mRNA and protein levels were associated with adverse clinicopathological parameters and also predicted poor prognosis in both UCUT and UCUB. The complement system is a member of the innate immunity and plays a critical role in host defense. It contains a group of circulating glycoproteins that promote inflammation. The complement system comprises three major pathways: the classical, alternative, and mannan-binding lectin pathways.28 The classical pathway is triggered by the binding of the Fc region of antigen-bound antibody molecules to C1 components. The initial enzyme, C1, is a complex protein comprising one C1q molecule, two C1r molecules, and two C1s molecules. The molecular weight of C1s is 85 kDa, and its concentration in human plasma is approximately 50 μg/mL.18 C1s contains serine protease activity, which splits C4 and then C2 to generate C4b2a, also known as C3 convertase. As the cascade proceeds, a membrane attack complex is formed. Although the complement system has been studied in certain malignant tumors and carcinogenesis,15-17 C1s is seldom investigated in cancers. Sakai et al. reported that when hamster complement C1s cDNA was transfected into BALB/c mouse fibroblast A31 cells, the transfectants formed tumors in BALB/c-nu/nu mice.29 In a subsequent study, the same authors transfected mutant C1s cDNA into A31 cells. However, the transfectants, which produced C1S without enzyme activity, did not form tumors in nude mice.30 In a recent study, the expression of C1S and other genes of the complement system was suppressed in paclitaxel-treated hypopharynx cancer cells.31 Furthermore, conformationally altered hyaluronan (HA) inhibited C1s activation and other components of the complement system in DU145 prostate cancer cells.32 The underexpression of HA synthase 3 (HAS3), one of the three HA synthases, is associated with adverse outcome and advanced disease in both UCUTs and UCUBs.33 These observations imply that C1s plays an essential role in carcinogenesis, and its expression in chemosensitive hypopharyngeal cancer cells can be suppressed through chemotherapy. The association between C1s and HAS3 is also intriguing. The underexpression of HAS3 resulting in a lower production of HA, a potential C1s suppressor, in addition to the overexpression of C1s may exert a synergistic effect on the carcinogenesis and tumor progression of both groups of UCs.

Conclusions

In summary, the present study demonstrated that C1s overexpression was not only indicators of unfavorable clinicopathological parameters but also independent prognostic factors that predict poor DSS and MeFS rates in patients with UCUTs or UCUBs. We have recently presented promising targets for new strategies in UC therapy.34-37 Therefore, additional studies must be conducted to elucidate the details of the biological significance of C1S and its encoded protein in UC oncogenesis for exploring the possible C1s-targeted therapy for both groups of UCs.

Abbreviations and Acronyms

C1s: complement component 1, s subcomponent DSS: disease-specific survival GEO: Gene Expression Omnibus HA: hyaluronan HAS: hyaluronan synthase MeFS: metastasis-free survival IRB: Institutional Review Board ROS: reactive oxygen species RT-PCR: reverse transcription polymerase chain reaction UB: urinary bladder UC: urothelial carcinoma UT: upper urinary tract
Table 1

Summary of differentially expressed genes associated with peptidase activity (GO:0008233) and showed positive associations to cancer invasiveness and metastasis in the transcriptome of urothelial carcinoma of urinary bladder (GSE31684).

6.5Comparing T2-4 to Ta-T1Comparing Meta. to Non-Meta.#Gene SymbolGene TitleMolecular Function
log ratiop-valuelog ratiop-value
1555229_a_at1.46020.00010.91810.0013C1Scomplement component 1; s subcomponentcalcium ion binding, complement component C1s activity, hydrolase activity, metal ion binding, peptidase activity, rhodopsin-like receptor activity, serine-type endopeptidase activity, serine-type endopeptidase inhibitor activity, serine-type peptidase activity
201117_s_at1.0810.00480.86520.0037CPEcarboxypeptidase Ecarboxypeptidase A activity, carboxypeptidase E activity, carboxypeptidase activity, hydrolase activity, metal ion binding, metallopeptidase activity, peptidase activity, zinc ion binding
205825_at0.39380.00870.30030.0088PCSK1proprotein convertase subtilisin/kexin type 1calcium ion binding, hydrolase activity, peptidase activity, proprotein convertase 1 activity, serine-type endopeptidase activity, subtilase activity
209955_s_at1.5836<0.00010.57830.0051FAPfibroblast activation protein; alphadipeptidyl-peptidase IV activity, hydrolase activity, metalloendopeptidase activity, peptidase activity, prolyl oligopeptidase activity, protein dimerization activity, protein homodimerization activity, serine-type endopeptidase activity, serine-type peptidase activity
213652_at0.5635<0.00010.38410.0002PCSK5proprotein convertase subtilisin/kexin type 5hydrolase activity, peptidase activity, serine-type endopeptidase activity, subtilase activity
214913_at0.29090.00090.20360.0025ADAMTS3ADAM metallopeptidase with thrombospondin type 1 motif; 3heparin binding, hydrolase activity, metal ion binding, metalloendopeptidase activity, metallopeptidase activity, peptidase activity, zinc ion binding
227860_at0.6945<0.00010.45490.0001CPXM1carboxypeptidase X (M14 family); member 1carboxypeptidase A activity, carboxypeptidase E activity, carboxypeptidase activity, hydrolase activity, metal ion binding, metallopeptidase activity, peptidase activity, zinc ion binding
235874_at0.33760.00010.22760.0007PRSS35protease; serine; 35peptidase activity, serine-type endopeptidase activity
1558117_s_at-0.53370.0039-0.42790.0026USP31ubiquitin specific peptidase 31cysteine-type peptidase activity, hydrolase activity, peptidase activity, ubiquitin thiolesterase activity
210693_at-0.376<0.0001-0.15070.001SPPL2Bsignal peptide peptidase-like 2Baspartic-type endopeptidase activity, hydrolase activity, peptidase activity
220390_at-0.17590.0032-0.15360.0007AGBL2ATP/GTP binding protein-like 2carboxypeptidase A activity, carboxypeptidase activity, hydrolase activity, metal ion binding, metallopeptidase activity, peptidase activity, zinc ion binding
239272_at-1.4769<0.0001-0.78750.0022MMP28matrix metallopeptidase 28calcium ion binding, hydrolase activity, metal ion binding, metalloendopeptidase activity, metallopeptidase activity, peptidase activity, zinc ion binding

#, Meta., distal metastasis developed during follow-up; Non-Meta.: no metastatic event developed.

Table 2

Correlations between C1s expression and other important clinicopathological parameters in urothelial carcinomas.

ParameterCategoryUpper Urinary Tract Urothelial CarcinomaUrinary Bladder Urothelial Carcinoma
Case No.C1s Expressionp-valueCase No.C1s Expressionp-value
LowHighLowHigh
GenderMale15874840.2772161121040.251
Female1829686793544
Age (years)< 6513867710.65912158630.587
≥ 65202103991748985
Tumor locationRenal pelvis14164770.228----
Ureter1507773----
Renal pelvis & ureter492920----
MultifocalitySingle2781351430.261----
Multifocal623527----
Primary tumor (T)Ta896425<0.001*847014<0.001*
T1926725885038
T2-T4159391201232796
Nodal metastasisNegative (N0)3121631490.006*266142124<0.001*
Positive (N1-N3)2872129524
Histological gradeLow grade564016<0.001*564511<0.001*
High grade284130154239102137
Vascular invasionAbsent23414787<0.001*246136110<0.001*
Present1062383491138
Perineural invasionAbsent3211651560.034*2751421330.021*
Present1951420515
Mitotic rate (per 10 high power fields)< 1017396770.039*13982570.003*
>= 1016774931566591

* Statistically significant.

Table 3

Univariate log-rank and multivariate analyses for Disease-specific and Metastasis-free Survivals in upper urinary tract urothelial carcinoma.

ParameterCategoryCase No.Disease-specific SurvivalMetastasis-free Survival
Univariate analysisMultivariate analysisUnivariate analysisMultivariate analysis
No. of eventp-valueR.R.95% C.I.p-valueNo. of eventp-valueR.R.95% C.I.p-value
GenderMale158280.8286---320.7904---
Female18233---38---
Age (years)< 65138260.9943---300.8470---
≥ 6520235---40---
Tumor sideRight177340.7366---380.3074---
Left15426---32---
Bilateral91---0---
Tumor locationRenal pelvis141240.0079*1-0.997310.0659---
Ureter150220.8590.462-1.59825---
Renal pelvis & ureter49151.3340.370-4.80514---
MultifocalitySingle273480.0026*1-0.005*520.0127*1-<0.001*
Multifocal62183.0261.400-6.540182.5171.453-4.360
Primary tumor (T)Ta892<0.0001*1-0.015*4<0.0001*1-0.180
T19295.2810.834-33.444152.8070.865-9.110
T2-T4159507.4051.286-42.636512.6570.823-8.582
Nodal metastasisNegative (N0)31242<0.0001*1-<0.001*55<0.0001*1-<0.001*
Positive (N1-N3)28195.7073.085-10.558153.1351.698-5.788
Histological gradeLow grade5640.0215*1-0.029*30.0027*1-0.020*
High grade284573.5071.137-10.814674.2591.251-14.496
Vascular invasionAbsent23424<0.0001*1-0.16026<0.0001*1-0.003*
Present106371.5310.845-2.774442.4591.347-4.487
Perineural invasionAbsent32150<0.0001*1-<0.001*61<0.0001*1-0.009*
Present19114.0451.931-8.47692.7121.289-5.708
Mitotic rate (per 10 high power fields)< 10173270.167--300.0823--
>= 1016734--40--
C1s expressionLow1708<0.0001*1-<0.001*18<0.0001*1-0.006*
High170531.7551.385-2.225521.4821.117-1.967

* Statistically significant

Table 4

Univariate log-rank and multivariate analyses for Disease-specific and Metastasis-free Survivals in urinary bladder urothelial carcinoma.

ParameterCategoryCase No.Disease-specific SurvivalMetastasis-free Survival
Univariate analysisMultivariate analysisUnivariate analysisMultivariate analysis
No. of eventp-valueR.R.95% C.I.p-valueNo. of eventp-valueR.R.95% C.I.p-value
GenderMale216410.4446---600.2720---
Female7911---16---
Age (years)< 65121170.1136---310.6875---
≥ 6517435---45---
Primary tumor (T)Ta841<0.0001*1-0.006*4<0.0001*1-0.019*
T18892.8651.299-6.329234.1771.216-14.343
T2-T41234211.7641.344-100495.2081.487-18.234
Nodal metastasisNegative (N0)266410.0002*1-0.85961<0.0001*1-0.099
Positive (N1-N3)29111.0660.524-2.169151.6890.906-3.149
Histological gradeLow grade5620.0013*1-0.88650.0007*1-0.685
High grade239500.8920.187-4.264710.7990.269-2.368
Vascular invasionAbsent246370.0024*1-0.119540.0001*1-0.977
Present49150.5740.286-1.154220.9910.534-1.838
Perineural invasionAbsent275440.0001*1-0.018*660.0007*1-0.112
Present2082.8051.197-6.574101.8340.868-3.878
Mitotic rate (per 10 high power fields)< 1013912<0.0001*1-0.011*23<0.0001*1-0.022*
>= 10156402.3791.220-4.640531.8281.092-3.059
C1s expressionLow1473<0.0001*1-<0.001*16<0.0001*1-<0.001*
High1484911.4413.478-37.628602.9841.661-5.361

* Statistically significant

  35 in total

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9.  Necdin Overexpression Predicts Poor Prognosis in Patients with Urothelial Carcinomas of the Upper Urinary Tract and Urinary Bladder.

Authors:  I-Wei Chang; Yu-Hui Wang; Wen-Jeng Wu; Peir-In Liang; Wei-Ming Li; Bi-Wen Yeh; Ting-Feng Wu; Hong-Lin He; Steven Kuan-Hua Huang; Chien-Feng Li
Journal:  J Cancer       Date:  2016-01-10       Impact factor: 4.207

10.  Glutathione Peroxidase 7 Suppresses Bile Salt-Induced Expression of Pro-Inflammatory Cytokines in Barrett's Carcinogenesis.

Authors:  Dun-Fa Peng; Tian-Ling Hu; Mohammed Soutto; Abbes Belkhiri; Wael El-Rifai
Journal:  J Cancer       Date:  2014-06-10       Impact factor: 4.207

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  10 in total

1.  The prognostic significance of preoperatively assessed AST/ALT (De Ritis) ratio on survival in patients underwent radical cystectomy.

Authors:  Sacit Nuri Gorgel; Osman Kose; Esra Meltem Koc; Erhan Ates; Yigit Akin; Yuksel Yilmaz
Journal:  Int Urol Nephrol       Date:  2017-07-01       Impact factor: 2.370

2.  Downregulation of RNF128 Predicts Progression and Poor Prognosis in Patients with Urothelial Carcinoma of the Upper Tract and Urinary Bladder.

Authors:  Yi-Ying Lee; Chieh-Tien Wang; Steven Kuan-Hua Huang; Wen-Jeng Wu; Chun-Nung Huang; Ching-Chia Li; Ti-Chun Chan; Peir-In Liang; Chung-Hsi Hsing; Chien-Feng Li
Journal:  J Cancer       Date:  2016-10-25       Impact factor: 4.207

3.  High Expression of EphA4 Predicted Lesser Degree of Tumor Regression after Neoadjuvant Chemoradiotherapy in Rectal Cancer.

Authors:  Ching-Yih Lin; Ying-En Lee; Yu-Feng Tian; Ding-Ping Sun; Ming-Jen Sheu; Chen-Yi Lin; Chien-Feng Li; Sung-Wei Lee; Li-Ching Lin; I-Wei Chang; Chieh-Tien Wang; Hong-Lin He
Journal:  J Cancer       Date:  2017-04-09       Impact factor: 4.207

4.  High Expression of Aldolase B Confers a Poor Prognosis for Rectal Cancer Patients Receiving Neoadjuvant Chemoradiotherapy.

Authors:  Yu-Feng Tian; Pei-Ling Hsieh; Ching-Yih Lin; Ding-Ping Sun; Ming-Jen Sheu; Ching-Chieh Yang; Li-Ching Lin; Hong-Lin He; Julia Solórzano; Chien-Feng Li; I-Wei Chang
Journal:  J Cancer       Date:  2017-04-09       Impact factor: 4.207

5.  High Immunoreactivity of DUOX2 Is Associated With Poor Response to Preoperative Chemoradiation Therapy and Worse Prognosis in Rectal Cancers.

Authors:  Shih-Chun Lin; I-Wei Chang; Pei-Ling Hsieh; Ching-Yih Lin; Ding-Ping Sun; Ming-Jen Sheu; Ching-Chieh Yang; Li-Ching Lin; Hong-Lin He; Yu-Feng Tian
Journal:  J Cancer       Date:  2017-08-23       Impact factor: 4.207

6.  Over-Expression of CHD4 Is an Independent Biomarker of Poor Prognosis in Patients with Rectal Cancers Receiving Concurrent Chemoradiotherapy.

Authors:  Hui-Ching Wang; Chia-Lin Chou; Ching-Chieh Yang; Wei-Lun Huang; Yin-Chou Hsu; Chi-Wen Luo; Tzu-Ju Chen; Chien-Feng Li; Mei-Ren Pan
Journal:  Int J Mol Sci       Date:  2019-08-21       Impact factor: 5.923

7.  Proteomic Characterization of Two Extracellular Vesicle Subtypes Isolated from Human Glioblastoma Stem Cell Secretome by Sequential Centrifugal Ultrafiltration.

Authors:  Fabrizio Di Giuseppe; Marzia Carluccio; Mariachiara Zuccarini; Patricia Giuliani; Lucia Ricci-Vitiani; Roberto Pallini; Paolo De Sanctis; Roberta Di Pietro; Renata Ciccarelli; Stefania Angelucci
Journal:  Biomedicines       Date:  2021-02-03

8.  High Stromal SFRP2 Expression in Urothelial Carcinoma Confers an Unfavorable Prognosis.

Authors:  Hong-Yue Lai; Chia-Chun Chiu; Yu-Hsuan Kuo; Hsin-Hwa Tsai; Li-Ching Wu; Wen-Hsin Tseng; Chien-Liang Liu; Chung-Hsi Hsing; Steven K Huang; Chien-Feng Li
Journal:  Front Oncol       Date:  2022-03-16       Impact factor: 5.738

Review 9.  Context-dependent roles of complement in cancer.

Authors:  Lubka T Roumenina; Marie V Daugan; Florent Petitprez; Catherine Sautès-Fridman; Wolf Herman Fridman
Journal:  Nat Rev Cancer       Date:  2019-10-30       Impact factor: 60.716

10.  Proteomic Profiles and Biological Processes of Relapsed vs. Non-Relapsed Pediatric Hodgkin Lymphoma.

Authors:  Ombretta Repetto; Valli De Re; Lara Mussolin; Massimo Tedeschi; Caterina Elia; Maurizio Bianchi; Salvatore Buffardi; Alessandra Sala; Roberta Burnelli; Maurizio Mascarin
Journal:  Int J Mol Sci       Date:  2020-03-22       Impact factor: 5.923

  10 in total

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