• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.1965-1967
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• 2013

Background: To obtain the maximum additional information about the prognosis of gastric cancer, we compared CA-50 with other previously defined markers. Materials and Methods: This hospital based study was carried out in the Department of Biochemistry of Nepalese Army Institute of Health Sciences between $1^{st}$ July 2012 and $31^{st}$ December 2012. The variables collected were age, gender, AFP, CEA, CA19-9, and CA50, assayed with ELISA reader for all cases. The cut off values for serum AFP, CEA, CA19-9, and CA-50 were 10 ${\mu}g/l$, 10 ${\mu}g/l$, 37 U/ml, and 20 U/ml, respectively according to the manufacturer's instructions. Approval for the study was obtained from the institutional research ethical committee. Results: Of the 40 examined patients, 13 patients had tumors located in the upper third of the stomach, 6 patients had tumors in the middle third, 16 patients had tumors in the lower third, and 5 patients had tumors occupying two-thirds of the stomach or more. The distribution of lymph node staging of the patients was as follows: 7 patients belonged to N0, 9 patients to N1 stage, 10 patients to N2 stage, and 14 patients to N3 stage. The statistical method of Cox proportional hazards using multivariate analysis also illustrated that tumor markers including CEA (2.802), CA19-9 (2.690), CA50 (2.101), were independent prognostic factors, as tumor size (1.603), and lymph node stage (1.614). Conclusions: The tumour markers now available, like CEA, CA 19-9 and CA 50, chiefly perceive advanced gastric cancer. The preoperative rise in those tumour marker level have a prognostic significance and may be clinically helpful in choosing patients for adjuvant management.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.2
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• pp.945-950
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• 2014

Purpose: To explore the value of systemic inflammatory markers as independent prognostic factors and the extent these markers improve prognostic classification for patients with inoperable advanced or metastatic gastric cancer (GC) receiving palliative chemotherapy. Methods: We studied the prognostic value of systemic inflammatory factors such as circulating white blood cell count and its components as well as that combined to form inflammation-based prognostic scores (Glasgow Prognostic Score (GPS), Neutrophil-Lymphocyte Ratio (NLR), Platelet Lymphocyte Ratio (PLR), Prognostic Index (PI) and Prognostic Nutritional Index (PNI)) in 384 patients with inoperable advanced or metastatic gastric cancer (GC) receiving first-line chemotherapy. Univariate and multivariate analyses were performed to examine the impact of inflammatory markers on overall survival (OS). Results: Univariate analysis revealed that an elevated white blood cell, neutrophil and/or platelet count, a decreased lymphocyte count, a low serum albumin concentration, and high CRP concentration, as well as elevated NLR/PLR, GPS, PI, PNI were significant predictors of shorter OS. Multivariate analysis demonstrated that only elevated neutrophil count (HR 3.696, p=0.003) and higher GPS (HR 1.621, p=0.01) were independent predictors of poor OS. Conclusion: This study demonstrated elevated pretreatment neutrophil count and high GPS to be independent predictors of shorter OS in inoperable advanced or metastatic GC patients treated with first-line chemotherapy. Upon validation of these data in independent studies, stratification of patients using these markers in future clinical trials is recommended.

• Genomics & Informatics
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• v.16 no.4
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• pp.32.1-32.7
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• 2018

Ovarian cancer is one of the leading causes of cancer-related deaths in gynecological malignancies. Over 70% of ovarian cancer cases are high-grade serous ovarian cancers and have high death rates due to their resistance to chemotherapy. Despite advances in surgical and pharmaceutical therapies, overall survival rates are not good, and making an accurate prediction of the prognosis is not easy because of the highly heterogeneous nature of ovarian cancer. To improve the patient's prognosis through proper treatment, we present a prognostic prediction model by integrating high-dimensional RNA sequencing data with their clinical data through the following steps: gene filtration, pre-screening, gene marker selection, integrated study of selected gene markers and prediction model building. These steps of the prognostic prediction model can be applied to other types of cancer besides ovarian cancer.

• Tuberculosis and Respiratory Diseases
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• v.42 no.2
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• pp.142-148
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• 1995

Background: Despite modern diagnostic, staging, and therapeutic advances, esp. with molecular biologic techniques, the 5-year survival rate of all cases of lung cancer does not exceed 15%. Also, the incidence of lung cancer of both sex in Korea is increasing year by year and the lung cancer is one of the leading causes of cancer death. Therefore, it is strongly needed to develop the new combination of treatment modalities including neoadjuvant chemotherapy and to identify tumor specific characteristics with staging or prognostic markers. Here we present the clinical significance of several biologic tumor markers to use as a prognostic markers in patients with non-small cell lung cancers. Method: The survival has correlated with the expressibility of proliferative cell nuclear antigen (PCNA), epidermal growth factor receptor(EGFR), p53 and/or blood group antigen A(BGAA) using immunohistochemistry in 46 patients with non-small cell lung cancers. Results: 1) The expression rates of PCNA, EGFR, p53 and BGAA were 80.6%, 61.3%, 45.9% and 64.3%, respectively and those were not correlated to cell types or clinical stges. 2) The expression of BGAA was correlated with better survival in median survival and in 2-year survival rate and that of PCNA was correlated with worse survival in median survival and 2-year survival rate. 3) The expression of EGFR or p53 was not valuable to predict prognosis in non-small cell lung cancers. 4) With simultaneous applications of PCNA, EGFR and p53 immunostain, the patients with 2 or more negative expressions showed better prognosis than the patients with 2 or more positive expressions. Conclusion: It is suggested that the expression of blood group antigen may be a positive prognostic factor and that of PCNA may be a negative prognostic factor. Also, the combination of expressions of PCNA, EGFR and p53 may be used as a negative prognostic factor.

• Journal of Veterinary Science
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• v.22 no.5
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• pp.62.1-62.13
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• 2021

Background: Canine mammary gland tumor (MGT) is the most common cancer in aged female dogs. Although it's important to identify reliable metastasis or prognostic factors by evaluating related to cell division, adhesion, and cancer stem cell-related transcription factor (TF) in metastasis-induced canine MGT, but there are limited studies. Objectives: We aimed to identify metastasis prognostic factors and cancer stem cell-TFs in canine MGTs. Methods: Age-matched female dogs diagnosed with MGT only were classified into metastatic and non-metastatic groups by histopathological staining of MGT tissues. The mRNA levels of cancer prognostic metastasis molecular factors (E-cadherin, ICAM-1, PRR14, VEGF, HPRT1, RPL4 and hnRNP H) and cancer stem cell-related TFs (Oct4, Sox2, and Nanog) were compared between metastatic and non-metastatic canine MGT tissues using qRT-PCR analysis. Results: The mRNA levels of ICAM-1, PRR14, VEGF, hnRNP H, Oct4, Sox2, and Nanog in metastatic MGT group were significantly higher than those in non-metastatic MGT group. However, mRNA level of RPL4 was significantly lower in metastatic MGT group. Loss of E-cadherin and HPRT1 was observed in the metastatic MGT group but it was not significant. Conclusions: Consistent expression patterns of all metastasis-related factors showing elevation in ICAM-1, PRR14, VEGF, hnRNP H, Oct4, Sox2, and Nanog, but decreases in RPL4 levels occurred in canine MGT tissues, which was associated with metastasis. Thus, these cancer prognostic metastasis factors and TFs of cancer stem cells, except for E-cadherin and HPRT1, can be used as reliable metastasis factors for canine MGT and therapeutic strategy.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.15
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• pp.6569-6573
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• 2015

Objective: To evaluate the application value of serum CA19-9, CEA, CA125 and CA242 in diagnosis and prognosis of pancreatic cancer cases treated with concurrent chemotherapy. Materials and Methods: 52 patients with pancreatic cancer, 40 with benign pancreatic diseases and 40 healthy people were selected. The electrochemiluminescence immunoassay method was used for detecting levels of CA19-9, CEA and CA125, and a CanAg CA242 enzyme linked immunoassay kit for assessing the level of CA242. The Kaplan-Meier method was used for analyzing the prognostic factors of patients with pancreatic cancer. The Cox proportional hazard model was applied for analyzing the hazard ratio (HR) and 95% confidential interval (CI) for survival time of patients with pancreatic cancer. Results: The levels of serum CA19-9, CEA, CA125 and CA242 in patients with pancreatic cancer were significantly higher than those in patients with benign pancreatic diseases and healthy people (P<0.001). The sensitivity of CA19-9 was the highest among these, followed by CA242, CA125 and CEA. The specificity of CA242 is the highest, followed by CA125, CEA and CA19-9. The sensitivity and specificity of joint detection of serum CA19-9, CEA, CA125and CA242 were 90.4% and 93.8%, obviously higher than single detection of those markers in diagnosis of pancreatic cancer. The median survival time of 52 patients with pancreatic cancer was 10 months (95% CI7.389~12.611).. Patients with the increasing level of serum CA19-9, CEA, CA125, CA242 had shorter survival times (P=0.047. 0.043, 0.0041, 0.029). COX regression analysis showed that CA19-9 was an independent prognostic factor for patients with pancreatic cancer (P=0.001, 95%CI 2.591~38.243). Conclusions: The detection of serum tumor markers (CA19.9, CEA, CA125 and CA242) is conducive to the early diagnosis of pancreatic cancer and joint detection of tumor markers helps improve the diagnostic efficiency. Moreover, CA19-9 is an independent prognostic factor for patients with pancreatic cancer.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.6
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• pp.2651-2654
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• 2014

Background: Lung cancer (LC) is still the primary cause of cancer deaths worldwide, and late diagnosis is a major obstacle to improving lung cancer outcomes. Recently, elevated preoperative or pretreatment neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and mean platelet volume (MPV) detected in peripheral blood were identified as independent prognostic factors associated with poor survival with various cancers, including colon cancer, esophageal cancer, gastric cancer and breast cancer. Objective: The aim of this study was to examine whether MPV, NLR and PLR could be useful inflammatory markers to differentiate lung cancer patients from healthy controls. An investigation was also made of the relationship between these markers and other prognostic factors and histopathological subgroups. Materials and Methods: Retrospectively eighty-one lung cancer patients and 81 age-sexes matched healthy subjects included into the study. Patients with hypertension, hematological and renal disease, heart failure, chronic infection, hepatic disorder and other cancer were excluded from the study. The preoperative or pretreatment blood count data was obtained from the recorded computerized database. Results: NLR and PLR values were significantly higher in the LC patients compared to the healthy subjects.( NLR: 4.42 vs 2.45 p=0.001, PLR: 245.1 vs 148.2 p=0.002) MPV values were similar in both groups (7.7 vs 7.8). No statistically significant relationship was determined between these markers (MPV, NLR and PLR) and histopathological subgroups and TNM stages. Conclusions: NLR and PLR can be useful biomarkers in LC patients before treatment. Larger prospective studies are required to confirm these findings.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.15
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• pp.6315-6319
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• 2014

Background: Immunohistochemical markers are considered as important factors in diagnosis of malignant astrocytomas. The aim of the current study was to investigate the frequency of the immunohistochemical markers neurofilament protein (NFP) and glial fibrillary acidic protein (GFAP) in malignant astrocytoma tumors in Firoozgar and Rasool-Akram hospitals from 2005 to 2010. Materials and Methods: In this cross-sectional study, immunohistochemical analysis of NFP and GFAP was performed on 79 tissue samples of patients with the diagnosis of anaplastic and glioblastoma multiform (GBM) astrocytomas. Results: The obtained results demonstrated that all patients were positive for GFAP and only 3.8% were positive for NFP. There was no significant association between these markers and clinical, demographic, and prognostic features of patients (p>0.05). Conclusions: NFP was expressed only in GBMs and not in anaplastic astrocytomas. It would be crucial to confirm the present findings in a larger number of tumors, especially in high grade gliomas.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.24
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• pp.10577-10583
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• 2015

Background: Triple-negative breast cancer (TNBC), characterized by the lack of expression of estrogen receptor, progesterone receptor and human epidermal growth factor receptor-2, is typically associated with a poor prognosis. The majority of TNBCs show the expression of basal markers on gene expression profiling and most authors accept TNBC as basal-like (BL) breast cancer. However, a smaller fraction lacks a BL phenotype despite being TNBC. The literature is silent on non-basal-like (NBL) type of TNBC. The present study was aimed at defining behavioral differences between BL and NBL phenotypes. Objectives: i) Identify the TNBCs and categorize them into BL and NBL breast cancer. ii) Examine the behavioral differences between two subtypes. iii) Observe the pattern of treatment failure among TNBCs. Materials and Methods: All TNBC cases during January 2009-December 2010 were retrieved. The subjects fitting the inclusion criteria of study were differentiated into BL and NBL phenotypes using surrogate immunohistochemistry with three basal markers $34{\beta}E12$, c-Kit and EGFR as per the algorithm defined by Nielsen et al. The detailed data of subjects were collated from clinical records. The comparison of clinicopathological features between two subgroups was done using statistical analyses. The pattern of treatment failure along with its association with prognostic factors was assessed. Results: TNBC constituted 18% of breast cancer cases considered in the study. The BL and NBL subtypes accounted for 81% and 19% respectively of the TNBC group. No statistically significant association was seen between prognostic parameters and two phenotypes. Among patients with treatment failure, 19% were with BL and 15% were with NBL phenotype. The mean disease free survival (DFS) in groups BL and NBL was 30.0 and 37.9 months respectively, while mean overall survival (OS) was 31.93 and 38.5 months respectively. Treatment failure was significantly associated with stage (p=.023) among prognostic factors. Conclusions: Disease stage at presentation is an important prognostic factor influencing the treatment failure and survival among TNBCs. Increasing tumor size is related to lymph node positivity. BL tumors have a more aggressive clinical course than that of NBL as shown by shorter DFS and OS, despite having no statistically significant difference between prognostic parameters. New therapeutic alternatives should be explored for patients with this subtype of breast cancer.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.15
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• pp.6255-6259
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• 2015

Purpose: To evaluate the prognostic value of alkaline phosphatase (ALP) and gamma-glutamyltransferase (GGT) in gallbladder cancer (GBC). Materials and Methods: Serum ALP and GGT levels and clinicopathological parameters were retrospectively evaluated in 199 GBC patients. Receiver operating characteristic (ROC) curve analysis was performed to determine the cut-off values of ALP and GGT. Then, associations with overall survival were assessed by multivariate analysis. Based on the significant factors, a prognostic score model was established. Results: By ROC curve analysis, $ALP{\geq}210U/L$ and $GGT{\geq}43U/L$ were considered elevated. Overall survival for patients with elevated ALP and GGT was significantly worse than for patients within the normal range. Multivariate analysis showed that the elevated ALP, GGT and tumor stage were independent prognostic factors. Giving each positive factor a score of 1, we established a preoperative prognostic score model. Varied outcomes would be significantly distinguished by the different score groups. By further ROC curve analysis, the simple score showed great superiority compared with the widely used TNM staging, each of the ALP or GGT alone, or traditional tumor markers such as CEA, AFP, CA125 and CA199. Conclusions: Elevated ALP and GGT levels were risk predictors in GBC patients. Our prognostic model provides infomration on varied outcomes of patients from different score groups.