Guozun Zhang1, Dong-Liang Yang2, Guoqi Zheng1, Yufei Liang1. 1. Department of Gastroenterology, Cangzhou Central Hospital, Cangzhou, Hebei 061001, P.R. China. 2. Department of Medical Statistics, Cangzhou Medical College, Cangzhou, Hebei 061001, P.R. China.
Malignant mesothelioma (MM) is a rare but aggressive and fatal neoplasm that originates from the thoracic and abdominal serosal membranes, with malignant peritoneal mesothelioma (MPeM) representing 7–30% of MM cases (1). Environmental and occupational exposure to asbestos is associated with this condition, and the incidence of MPeM in East China is 4.5 cases per million individuals in 2018 (2). Due to a lack of specificity of clinical symptoms, difficulty in making an early diagnosis and rapid disease progression with few effective treatments, the median survival prognosis is ≤12 months from diagnosis (2). Recently, it has been shown that cytoreductive surgery (CRS), radiotherapy and chemotherapy could increase the survival of patients with MPeM (3). Therefore, early predictors of prognosis may help to guide intensive treatment protocols to improve survival and quality of life for patients with a short life expectancy. Due to the influence of tumour morphology and radiological markers, such as TNM stage, it is difficult to fully assess the prognosis of patients with MPeM.Ki-67 is a nuclear protein that is detected in the active phases of the cell cycle (G1, G2, S and M) but absent in quiescent cells (G0) (4). Therefore, Ki-67 is widely used as a predictive and prognostic marker in numerous types of cancer, such as those of the breast (5), lung (6) and prostate (7). Ki-67 has also been demonstrated to be a prognostic factor for MM (8).CD146 is a multifunctional molecule that is involved in several physiological and pathological processes involving immunity and angiogenesis, and has also been found to serve a critical role in cancer progression (9). In a number of tumours, such as melanoma and gallbladder cancer (10,11), CD146 has been found to promote cancer progression and migration. In malignant pleural mesothelioma, CD146 has been identified as an indicator of poor prognosis (12). However, only one study was found to report the effect of CD146 on the prognosis of MPeM (13).Survivin is encoded by the baculoviral inhibitor of apoptosis repeat-containing 5 gene and is an important inhibitor of effector caspases in the apoptosis pathway. It is overexpressed in a number of tumours, but not in normal differentiated tissues, and may serve a key role in tumour prognosis (14,15). Survivin is used to evaluate the prognosis of some tumours (16,17), such as malignant pleural mesothelioma (18), but less so in MPeM. The present study aimed to explore the possible prognostic value of survivin and CD146 expression for patients with MPeM.
Materials and methods
Patients and tumour tissue samples
A total of 60 patients diagnosed with MPeM in Cangzhou Central Hospital (Cangzhou, China) over ~3 years (August 2015-September 2018) were included in the present study. The inclusion criteria were as follows: i) Newly diagnosed cases that were not combined with other tumours or other fatal diseases, such as severe infection, or failure of one or more organs that seriously affected survival; ii) patients with complete clinical data; and iii) patients without a history of receiving special medications, such as aspirin and diclofenac sodium. Patient demographics, asbestos exposure, treatments and follow-up data were retrieved from medical records. The histopathological diagnostic criteria of MPeM were established according to the guidelines for pathologic diagnosis of malignant mesothelioma (19). Yan et al (20) proposed a novel ‘TNM’ staging system in 2011, in which MPeM staging was determined according to the extent of peritoneal disease burden (T), intra-abdominal nodal metastasis (N), extra-abdominal metastasis (M) and peritoneal carcinomatosis index (PCI). PCI was defined based on the following regions: The upper transverse plane, which is the lowest aspect of the costal margin; the lower transverse plane, which is the anterior superior iliac spine; and the abdomen, which is divided into three equal sectors by sagittal planes. The abdomen is divided into nine abdominopelvic regions (AR-8) by two transverse planes and two sagittal planes. AR-9 is located in the left upper abdomen, including the upper jejunum. AR-10 is the lower jejunum located in the left lower abdomen. AR-11 is the upper ileum located in the right upper abdomen, and AR-12 is the lower ileum, including the terminal ileum. For each region, four categories were used to estimate tumour volume: V0 indicated the absence of cancer at a particular abdominopelvic or anatomic site; V1 indicated tumour nodules <0.5 cm in diameter (minimal volume); V2 indicated tumours 0.5–5 cm in diameter (moderate volume); and V3 indicated tumours >5 cm in diameter (gross volume). Volume estimates were determined by the radiologist who performed the CT scan. PCI was based on lesion size (0–3) and tumour distribution (0–12) to determine the extent of the disease (0–39). PCI was calculated to determine the T stage, with scores of 1, 2, 3 and 4 corresponding to PCI scores of 1–10, 11–20, 21–30 and 31–39, respectively. T1N0M0 was included in stage I disease; T2-3N0M0 represented stage II; and T4N0M0 and any N/M positive cases were classified as stage III.Furthermore, 60 peritonitis tissues and 60 normal peritoneal tissues were selected as control specimen sets. The Pathology Department of Cangzhou Central Hospital provided tumour, peritonitis and peritoneal tissue specimens. Tumour and peritonitis tissue samples were obtained using ultrasound-guided biopsies for diagnostic purposes before patients received any clinical treatment. Normal mesothelial cells were taken from the normal peritoneal tissue of surgical peritoneal specimens.
Immunohistochemical analysis
Tissues were fixed in 4% phosphate-buffered paraformaldehyde at room temperature for 24 h and embedded in paraffin. Three consecutive 4 µm-thick tissue sections of each paraffin block were used for immunohistochemical staining. Before dewaxing, the paraffin sections were rewarmed (baked in 70°C incubator for 2 h). Paraffin sections were dewaxed and dehydrated, using xylene I and xylene II for 5 min, and 100, 85 and 70% ethanol for 3 min, respectively. In a medical microwave oven, sodium citrate buffer solution (0.01 mol/l, pH6.0) was heated to 95°C, in which specimens were incubated for 25 min, and naturally cooled to room temperature (for ~1 h). Specimens were incubated in 0.03% H2O2 at 37°C for 15 min to block endogenous peroxidase activity. Specimens were washed by 0.01 mol/l PBS (pH=7.4) for 5 min between steps. Specimens were incubated with 50 ul of normal 5–10% goat serum blocking antigen for 15 min at room temperature. Specimens were incubated overnight at 4°C with primary antibodies against the following molecules: Survivin (dilution, 1:100; rabbit monoclonal, clone EP119; OriGene Technologies, Inc.; cat. no. S1130), CD146 (dilution, 1:100; rabbit monoclonal, clone EP54; OriGene Technologies, Inc.; cat. no. GTX34461) and Ki-67 (dilution, 1:200; rabbit monoclonal, clone EP5; OriGene Technologies, Inc.; cat. no. GTX16667). After incubation (at room temperature for 40 min) with peroxidase-conjugated secondary antibodies (diluted concentration 1:200; Santa Cruz Biotechnology, Inc.), a Diaminobenzidine Peroxidase Substrate kit (Laboratories, Inc.) was used to visualise signals (light microscope; magnification, ×43; Olympus Corporation, put in multiple ×10). Negative control specimens were processed under the same conditions, except that blocking liquid (negative control, the first antibody was replaced by normal serum and stained by immunohistochemistry S-P method) was used in place of the primary antibody.
Immunoreactivity evaluation
For evaluation, using the Jiangsu Jieda 801 image analysis system (Jetta Technology; version no. 801), >200 tumour cells were scored per field (magnification ×40). Sections of tumour tissues were scored semi-quantitatively for survivin and CD146 as follows: 0, <5% immuno-positive cells; 1+, 5–25% immuno-positive cells; 2+, 26–50% immuno-positive cells; 3+, >50% immuno-positive cells. Score 0 was defined as negative, and scores 1+, 2+ and 3+ were defined as positive, which corresponds to grade 4 expression. The Ki-67 labelling index (Ki-67LI) was determined by the number of positive cells per 500 tumour cells: Lower Ki-67LI, ≤15%; and higher Ki-67LI, >15%, which corresponds to grade 2 expression.
Statistical analysis
Correlations between parameters were tested by calculating the Spearman's rank correlation coefficient (rate). Kaplan-Meier analysis was used to calculate the overall cumulative probability of survival, and the log-rank test was used to assess differences in survival. Overall survival (OS) was measured from the date of initial diagnosis to the date of last follow-up examination or mortality (median). Univariate analysis was performed to assess the association between prognostic factors and survival (rate). Prognostic factors that were identified as significant in the univariate analysis were included in the multivariate analysis using the Cox proportional hazards model (rate). The nomogram was formulated using the ‘rms’ version 5.1–4 package in R version 3.5.2 software (R Foundation for Statistical Computing; www.r-project.org) as a tool to predict the prognosis of MPeM and forest maps to show the hazard ratios (HRs) of independent prognostic factors. P<0.05 was considered to indicate a statistically significant difference; however, P<0.10 was considered statistically significant in univariate and multivariate analyses. The performance of the nomogram was estimated using a calibration curve. The predictive accuracy of the model was estimated using the concordance index (C-index). Statistical analyses were performed using SPSS v22.0 (IBM Corp.) and R version 3.5.2 software. Packages, including ‘survival’, ‘nomogramEx’, ‘rms’ and ‘survminer’ were used. The version number of survival, nomogramEx, rms and survminer respectively is 2.44-1, 2.0, 5.1–3 and 0.4.3.
Results
Patients
In total, 60 patients were evaluated in the present study, comprising 22 men and 38 women (1:1.73). The median age at diagnosis was 62 years (range, 42–84). Asbestos exposure was documented for 86.7% of patients. Epithelioid and non-epithelioid tumours were found in 30 cases each (50%). The mean PCI was 27.5 (range, 3–39). According to the novel ‘TNM’ staging system, five patients (8.3%) had stage I, 47 patients (78.3%) had stage II and eight patients (13.3%) had stage III MPeM. A total of 38 patients received tumour-directed treatment with systemic or local abdominal chemotherapy, whereas the remaining patients received best supportive care (BSC), mainly due to comorbidities, advanced disease stage or poor performance status. The median OS was 9.25 months (range, 1–48 months). Five patients were still alive at the time of the final analysis. Clinical information is detailed in Table I.
Table I.
Demographic patient characteristics (n=60).
Factors
Value or no. of patients
Age, years
Median
62
Range
42-84
Sex, n
Male
22
Female
38
Asbestos exposure, n
+
52
−
8
Histological type, n
Epithelioid
30
Non-epithelioid
30
PCI, n
≤30
30
>30
30
TNM stage, n
Stage I
5
Stage II
47
Stage III
8
Treatment
BSC
22
Chemotherapy
38
Ki67
≤0.15
30
>0.15
30
Survivin, n
<5%
26
5-25%
21
26-50%
8
>50%
5
CD146, n
<5%
29
5-25%
18
26-50%
10
>50%
3
PCI, peritoneal cancer index; BSC, best supportive care.
Associations between survivin, CD146 and Ki-67 expression and clinicopathological parameters
Survivin and CD146 expression levels are detailed in Table I. Staining of CD146 was observed in the cytoplasm and cell membrane (Fig. 1A-H), and staining of survivin was observed in the nucleus and cytoplasm (Fig. 1I-P), while Ki-67 staining was only nuclear (Fig. 1Q-T). Carcinomas expressed survivin (≥5%) in 34 (56.67%) of 60 specimens, and CD146 (≥5%) was detected in 31 (51.67%) of 60 specimens. Spearman's rho analysis revealed that survivin and CD146 expression were both correlated with Ki-67LI (r=0.425, P=0.001; r=0.362, P=0.004, respectively; Table II). Survivin, CD146 and Ki-67 expression in normal mesothelium (Fig. 2A, C and E) and specimens from patients suffering from peritonitis (Fig. 2B, D and F) were negative. Mesothelial cells and lymphocytes, identified in peritonitis tissue specimens, exhibited no staining for the aforementioned proteins.
Figure 1.
Representative IHC images of CD146, survivin and Ki-67 expression. Expression of CD146 in epithelioid MPeM: (A) Negative; (B) 1+; (C) 2+; (D) 3+. Expression of CD146 in non-epithelioid MPeM: (E) Negative; (F) 1+; (G) 2+; (H) 3+. Expression of survivin in epithelioid MPeM: (I) Negative; (J) 1+; (K) 2+; (L) 3+. Expression of survivin in non-epithelioid MPeM: (M) Negative; (N) 1+; (O) 2+; (P) 3+. Expression of Ki-67 in epithelioid MPeM: (Q) Lower expression; (R) higher expression. Expression of Ki-67 in non-epithelioid MPeM: (S) Lower expression; (T) higher expression. Staining of CD146 was observed in the cytoplasm and cell membrane, staining of survivin was found in the nucleus and cytoplasm, while Ki-67 staining was nuclear. Magnification, ×400. IHC, immunohistochemistry; MPeM, malignant peritoneal mesothelioma.
Table II.
Association and differences of survivin and CD146 expression with clinicopathologic parameters and Ki-67LI in patients with malignant peritoneal mesothelioma.
Survivin
CD146
Reactive grade, n
Reactive grade, n
Variable
No.
0
1+
2+
3+
P-value
0
1+
2+
3+
P-value
Age (years)
≤62
31
14
10
3
4
1.000
14
11
5
1
0.881
>62
29
12
11
5
1
15
7
5
2
Sex
Male
22
11
4
5
2
0.400
10
7
4
1
0.774
Female
38
15
17
3
3
19
11
6
2
Histologicaltype
Epithelioid
30
11
12
5
2
0.424
12
11
6
1
0.322
Non-epithelioid
30
15
9
3
3
17
7
4
2
Ki67
≤0.15
30
19
8
2
1
0.001
20
6
4
0
0.004
>0.15
30
7
13
6
4
9
12
6
3
Figure 2.
Survivin (A) CD146 (C) and Ki-67 (E) expression is absent in normal mesothelium. Survivin (B) CD146 (D) and Ki-67 (F) expression is absent in peritonitis specimens (B, D, F). Magnification ×400.
Survival analysis
Kaplan-Meier analysis and univariate Cox regression analysis demonstrated that a lower PCI, stage I, chemotherapy treatment (Fig. 3A-D; Table III) and a lower Ki-67LI had significantly positive effects on OS in patients with MPeM (Fig. 4A; Table III). In addition, a lower level of survivin expression was significantly associated with improved OS in grade 4 patients (P<0.000; Fig. 4C; Table III), while high CD146 expression was associated with poor MPeM prognosis (P=0.041; Fig. 4B). All factors were included in the multivariate Cox analysis, in which a lower PCI (HR=1.99; 95% CI, 1.04–3.83; P=0.038), lower survivin expression (HR=1.47; 95% CI, 1.03–2.10; P=0.034), and treatment protocols, including intraperitoneal chemotherapy (HR=0.28; 95% CI, 0.14–0.57; P<0.001) and systemic chemotherapy (HR=0.13; 95% CI, 0.04–0.42; P<0.001) retained independent prognostic significance, with a positive effect on OS (Table III). TNM stage (P=0.123) was also included in the forest maps (with P=0.05 as the cut-off point), and the results are shown in Fig. 4D. High PCI and expression of survivin indicated poor prognosis in patients with MPeM. Intraperitoneal and systemic chemotherapy had a statistically positive effect on overall survival. Treatment protocol was a disordered multivariable, and treatment protocols = 0 was the reference.
Figure 3.
Kaplan-Meier curves of the overall survival rates in patients with MPeM according to different predictors. (A) PCI; (B) T stage; (C) grade 2 treatment protocols; (D) grade 3 treatment protocols. All predictors were statistically significant (P-values are shown in the figure). Time-dependent numbers at risk are listed at the bottom. Dashed lines represent median survival. PCI, peritoneal cancer index; MPeM, malignant peritoneal mesothelioma.
Table III.
Univariate and multivariate analyses of factors affecting OS in patients with malignant peritoneal mesothelioma.
Univariate analysis
Multivariate analysis
Variable
Hazard ratio
95% CI
P-value
Hazard ratio
95% CI
P-value
Sex (female vs. male)
0.66
(0.37–1.17)
0.110
Age (≤62 vs. >62)
1.00
(0.59–1.70)
0.990
Asbestos exposure (yes vs. no)
0.96
(0.43–2.14)
0.900
Histological type
1.21
(0.70–2.09)
0.450
(Epithelioid vs. Non-epithelioid)
PCI (≤30 vs. >30)
2.18
(1.26–3.76)
0.001
1.99
(1.04–3.83)
0.044
TNM Stage (I vs. II vs. III)
1.61
(1.05–2.73)
0.047
1.56
(0.89–2.76)
0.123
Treatment (BSC vs. chemotherapy treatment)
0.30
(0.16–0.57)
<0.000
Ki-67 (≤15% vs. >15%)
2.19
(1.24–3.89)
0.007
Survivin (negative vs. positive)
1.65
(1.17–2.32)
<0.000
1.47
(1.03–2.10)
0.034
CD146 (negative vs. positive)
1.48
(1.08–2.03)
0.041
Treatment protocol
<0.000
<0.001
Best supportive care
1.00
1.00
Intraperitoneal chemotherapy
0.32
(0.17–0.62)
0.28
(0.14–0.57)
<0.001
Systemic chemotherapy
0.20
(0.07–0.59)
0.13
(0.04–0.42)
<0.001
PCI, peritoneal cancer index; BSC, best supportive care.
Figure 4.
Kaplan-Meier survival curves for different predictors. (A) Ki-67 grade 2 expression; (B) CD146 grade 4 expression; (C) survivin grade 4 expression; (D) forest plot of disease-free survival hazard ratios of major subgroups (exploratory analysis). Dashed lines represent median survival. PCI, peritoneal cancer index. Treatment protocols 0, best supportive care; Treatment protocols 1, intraperitoneal chemotherapy; Treatment protocols 2, systemic chemotherapy. *P<0.05. ***P<0.001.
Construction and validation of the nomogram
The graphical calculator or nomogram uses line scores to assist the clinician in quickly estimating individualised patient-specific OS (Fig. 5A). PCI, TNM stage, survivin and treatment protocols were incorporated into the calculator. PCI was divided into two categories: ≤30 and >30; TNM stage was divided into three categories: Stage I, stage II and stage III; survivin was divided into four categories: <5%, 5–25%, 26–50% and >50%; treatment protocols were divided into three categories: BSC, intraperitoneal chemotherapy and systemic chemotherapy. The model determined the estimated values of 1-, 2- and 3-year OS by simply adding up the corresponding scores of the four factors to calculate the total score. In addition, the performance of the nomogram was graphically evaluated using a calibration curve (Fig. 5B-D). The C-index was 0.77, and the predicted line overlapped well with the reference line, demonstrating good performance of the nomogram.
Figure 5.
Nomogram figure and calibration curves used to predict patient survival rates. (A) Nomogram to predict the survival time of patients with MPeM. Patients' PCI are located in the row labelled ‘PCI’, and a straight line is drawn up to the row labelled ‘Points’ to determine the corresponding points. This process is then repeated for each of the remaining factors. After the total points are summed, a straight line is drawn from the appropriate total point number location to the rows labelled ‘1 year survival’, ‘2 year survival’ and ‘3 year survival’ to predict patient survival probability. Calibration curves for predicting (B) 1-, (C) 2- and (D) 3 year OS for patients with MPeM. Actual survival measured via Kaplan-Meier analysis is shown on the Y-axis, and the nomogram-predicted survival is shown on the X-axis. Calibration curves showed good performance between nomogram-predicted and observed survival. The C-index of the nomogram for predicting OS was 0.77. OS, overall survival; PCI, peritoneal cancer index; MPeM, malignant peritoneal mesothelioma.
Discussion
The worldwide incidence of MPeM continues to rise, partly because of its association with asbestos exposure. Although MPeM is traditionally considered resistant to antitumour therapy, some patients exhibit a good response to CRS with hyper-thermic intraperitoneal chemotherapy (HIPEC) or multidisciplinary therapy (3). Therefore, it is important to identify prognostic factors that can predict who will benefit from these treatments. Some of the predictive factors for OS in patients with MPeM include age, sex, histologic type and grade, lymphatic metastasis, and imaging staging (2,15,21). Clinical imaging examinations mainly include CT and MRI, which do not convey pathological information and cannot fully assess the prognosis of MPeM. Individual studies have also identified blood neutrophil-to-lymphocyte ratio (22) and glucose transporter 1 expression (23) as predictors of survival.Numerous studies (24–26) have suggested that age is a prognostic factor for MPeM, and older age suggests poor prognosis. In general, the prognosis of patients over 65 is worse than that of patients under 65 years of age (27). Research has revealed that sex and clinical stage are independent prognostic factors for OS in malignant pleural mesothelioma (28). MPeM can be divided into epithelioid, sarcomatoid and biphasic types; among the aforementioned, the epithelioid subtype is associated with an improved outcome. Prognosis of the non-epithelioid subtypes (including sarcomatoid and biphasic) is extremely poor (24,26). The results of the present study demonstrated that age, sex and histopathological typing were not associated with MPeM prognosis using a univariate analysis. In future studies, the sample size could be increased and further research should be conducted to confirm the association between age, histological type and prognosis. Among the patients in the present study, 63.3% of the patients were female, the asbestos exposure rate was 86.7% in all patients included. In the present study, the high asbestos exposure rate and the frequent incidence of disease in women could be attributed to the practice of hand-spinning asbestos yarn in the 1970s, when the workers were mainly teenage girls.Yan et al (20) created a clinicopathologic staging system that emphasizes the prognostic importance of tumour volume and distribution within the peritoneal cavity, lymph node involvement and extra-abdominal metastases. A high PCI has been shown to be a poor prognostic factor in MPeM in a study (20). In the present study, Kaplan-Meier and univariate Cox regression analyses showed that both a lower PCI and stage I tumours had significantly positive effects on OS, while multivariate Cox regression analysis did not confirm the associations between stage I and OS. All patients in the present study received internal conservative treatment, and the PCI and TNM grades were based on CT imaging, which may be different from previous surgical grades. In future studies, the sample size and treatment methods should be improved to verify the aforementioned results.Research has suggested that CRS combined with HIPEC should be considered as standard treatment for patients diagnosed with MPeM (29). For numerous patients with MPeM who are unable to tolerate or unwilling to undergo surgery, clinicians usually provide supportive treatment or chemotherapy. Currently, the first-line clinical systemic therapy is pemetrexed combined with cisplatin or carboplatin (30). In the present study, tumour-directed treatment, especially systemic chemotherapy with pemetrexed alone or in combination with cisplatin and intraperitoneal chemotherapy with cisplatin, had a significantly positive effect on OS in MPeM.Ki-67 is an indicator of tumour replication. High expression of Ki-67 indicates active tumour growth. Numerous studies (27,31) have indicated that high levels of Ki-67 result in a poor prognosis. Patients with MPeM with high Ki-67 expression and a high PCI have an average survival time of 10 months (20). A multicentre study reported that the Ki-67 index is an independent prognostic factor for epithelioid rather than non-epithelioid malignant pleural mesothelioma (8). Pillai et al (32) examined the expression of Ki-67 in 42 MPeM tumours and concluded that high Ki-67 expression is associated with poor survival. In the present study, Ki-67 expression was tumour-specific and was negative in normal mesothelium and peritonitis specimens. Univariate analysis showed that lower Ki-67 expression suggested an improved prognosis in patients with MPeM, while multivariate analysis did not confirm this association.CD146 is a cell adhesion molecule that participates in several physiological and pathological processes, such as signal transduction, cell migration, angiogenesis and immune responses. It has become an increasingly important molecule, especially as a novel biomarker for angiogenesis and cancer. Zeng et al (33) found that CD146 expression is significantly associated with late stage tumours and poor prognosis in breast cancer. In addition, CD146 is significantly associated with advanced tumour stage in malignant melanoma (34) and mesothelioma (35). The results of the present study revealed that CD146 expression was correlated with Ki-67 expression and that there was no CD146 expression in mesothelial cells and peritonitis tissues. Moreover, univariate analysis suggested that lower CD146 expression was associated with improved prognosis in patients with MPeM. These results suggested that CD146 was related to the prognosis of MPeM, but this correlation was not confirmed using the multivariate analysis.A number of studies have shown that the expression of nuclear survivin is related to cell proliferation, advanced disease and poor clinical outcome (18,27). Overexpression of survivin suggests poor prognosis in numerous types of cancer, such as gallbladder cancer and pancreatic ductal adenocarcinoma (36,37). In addition, elevated concentrations of survivin in pleural fluid are associated with shorter survival in patients with malignant pleural effusion (16). Meerang et al (38) reported that high survivin labelling index is an indicator of poor prognosis in patients with malignant pleural mesothelioma. However, other studies identified no association between survivin and disease outcome (39,40).At present, there have only been a few reports on the association between survivin and MPeM prognosis (41,42). The present study revealed that survivin was expressed in 34/60 (56.7%) mesothelioma specimens in a tumour-specific manner. Spearman's rho analysis revealed a significant correlation between survivin expression and Ki-67LI (r=0.425; P=0.001), confirming that survivin expression was associated with cell proliferation, which was consistent with the results of Bitanihirwe et al (43). Furthermore, the univariate and multivariate analyses showed that a lower level of survivin expression was significantly associated with improved OS (P<0.0001; P=0.034). The aforementioned results suggest that survivin is important in predicting the prognosis of MPeM. Other studies have shown that patients with MM with an improved response to tumour-directed treatment have higher survivin expression in their tumours (20,44). This indicator may offer theoretical guidance for providing improved clinical treatment for different patients.The present study constructed a clinical assessment tool (nomogram) with a high accuracy (C-index, 0.77) for predicting survival in patients with MPeM. This tool provided a simple graphical display of predicted survival based on clinical parameters that affect MPeM OS: PCI, TNM stage, survivin and treatment protocols. Estimation of survival may individualise patient treatment and follow-up, including influencing the extent of surgical and systemic therapy, and the frequency of diagnostic imaging. This model should be validated with additional data and in a prospective manner, and future refinement will likely improve its predictive accuracy.In conclusion, PCI, tumour-directed treatment (including intraperitoneal and systemic chemotherapy), and survivin levels appear to serve vital roles in influencing survival time. These factors were incorporated into a nomogram to predict outcomes in MPeM, providing a useful tool for clinicians to personalise treatment in this poor prognosis population.
Authors: G J Gordon; M Mani; L Mukhopadhyay; L Dong; H R Edenfield; J N Glickman; B Y Yeap; D J Sugarbaker; R Bueno Journal: J Pathol Date: 2007-03 Impact factor: 7.996
Authors: Julija Hmeljak; Nina Erčulj; Vita Dolžan; Jože Pižem; Izidor Kern; Viljem Kovač; Maja Cemažar; Andrej Cör Journal: Virchows Arch Date: 2013-01-29 Impact factor: 4.064
Authors: Aliya N Husain; Thomas Colby; Nelson Ordonez; Thomas Krausz; Richard Attanoos; Mary Beth Beasley; Alain C Borczuk; Kelly Butnor; Philip T Cagle; Lucian R Chirieac; Andrew Churg; Sanja Dacic; Armando Fraire; Francoise Galateau-Salle; Allen Gibbs; Allen Gown; Samuel Hammar; Leslie Litzky; Alberto M Marchevsky; Andrew G Nicholson; Victor Roggli; William D Travis; Mark Wick Journal: Arch Pathol Lab Med Date: 2012-08-28 Impact factor: 5.534
Figure 1.
Figure 2.
Figure 3.
Figure 4.
Figure 5.