• Smart Media Journal
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• v.9 no.4
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• pp.126-133
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• 2020

The treatment policy and prognosis are determined based on the final stage of lung cancer patients. The final stage of lung cancer patients is determined based on the T, N, and M stage classification table provided by the American Cancer Society (AJCC). However, the final stage of AJCC has limitations in its use for various fields such as patient treatment, prognosis and survival days prediction. In this paper, clustering algorithm which is one of non-supervised learning algorithms was assessed in order to check whether using only T, N, M stages with a data science method is effective for classifying the group of patients in the aspect of survival days. The final stage groups and T, N, M stage clustering groups of lung cancer patients were compared by using the cox proportional hazard model. It is confirmed that the accuracy of prediction of survival days with only T, N, M stages becomes higher than the accuracy with the final stages of patients. Especially, the accuracy of prediction of survival days with clustering of T, N, M stages improves when more or less clusters are analyzed than the seven clusters which is same to the number of final stage of AJCC.

• Tuberculosis and Respiratory Diseases
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• v.45 no.2
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• pp.322-332
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• 1998

Background: Accurate staging is important to determine treatment modalities and to predict prognosis for the patients with lung cancer. The simple two-stage system of the Veteran's Administration Lung Cancer study Group has been used for staging of small cell lung cancer(SCLC) because treatment usually consists of chemotherapy with or without radiotherapy. However, this system does not accurately reflect segregation of patients into homogenous prognostic groups. Therefore, a variety of new staging system have been proposed as more intensive treatments including either intensive radiotherapy or surgery enter clinical trials. We evaluate the prognostic importance of TNM staging, which has the advantage of providing a uniform detailed classification of tumor spread, in patients with SCLC. Methods: The medical records of 166 patients diagnosed with SCLC between January 1989 and December 1996 were reviewed retrospectively. The influence of TNM stage on survival was analyzed in 147 patients, among 166 patients, who had complete TNM staging data. Results: Three patients were classified in stage I / II, 15 in stage III a, 78 in stage IIIb and 48 in stage IV. Survival rate at 1 and 2 years for these patients were as follows: stage I / II, 75% and 37.5% ; stage IIIa, 46.7% and 25.0% ; stage III b, 34.3% and 11.3% ; and stage IV, 2.6% and 0%. The 2-year survival rates for 84 patients who received chemotherapy(more than 2 cycles) with or without radiotherapy were as follows: stage I / II, 37.5% ; stage rna, 31.3% ; stage IIIb 13.5% ; and stage IV 0%. Overall outcome according to TNM staging was significantly different whether or not received treatment. However, there was no significant difference between stage IIIa and stage IIIb though median survival and 2-year survival rate were higher in stage IIIa than stage IIIb. Conclusion: These results suggest that the TNM staging system may be helpful for predicting the prognosis of patients with SCLC.

• Journal of Gastric Cancer
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• v.9 no.4
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• pp.159-166
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• 2009

Purpose: We evaluated the efficacy and prognostic predictability of the $7^{th}$ UICC TNM classification compared to $6^{th}$ UICC TNM classification in patients with gastric cancer. Materials and Methods: Between June 1992 and December 2006, 1,633 patients with gastric cancer who had undergone gastric surgery and who had been analyzed by the $6^{th}$ UICC method were analyzed using the new $7^{th}$ UICC system. Results: Significant differences in 5-year survival rates were observed for $7^{th}$ UICC N0, N1, N2, N3a, and N3b compared to $6^{th}$ UICC. There were no significant differences in 5-year survival rates between T2 and T3. Distinct survival differences were present between stage III (IIIa, IIIb, and IIIc) and stage IV in $7^{th}$ UICC. Significant differences in 5-year survival rates were not expected for Ia versus Ib, Ib versus IIa, and IIb versus IIIa. The survival rates for the same stages were not homogeneously differentiated by $7^{th}$ UICC except for stage IV. Conclusion: The $7^{th}$ UICC classification system is not better able to predict patient survival compared to 6th UICC in patients with gastric cancer, but is better for accurate prognosis of patients with stage IV gastric cancer.

• Tuberculosis and Respiratory Diseases
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• v.57 no.5
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• pp.443-448
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• 2004

Background : Small-cell carcinomas of lung have a tendency for rapid growth and early wide metastasis. Despite the high response rates of combination chemotherapy alone or with radiotherapy, the overall long-term survival rate is very disappointing. According to autopsy findings, the common cause of failure is local recurrence in the primary cancer site. Therefore, surgical resection with combined chemotherapy has recently been attempted for very early stage small-cell carcinomas of the lung. Methods : 10 patients (TNM I & II: 5 cases each) undergoing surgical resection for small-cell carcinomas of the lung were treated with adjuvant chemotherapy in an attempt to prolong survival. Of these, 9 patients received chemotherapy, and a retrospective study for survival undertaken (Kaplan-Meier analysis). Results : The median survival time was 26 months, and the 2- and 5-year survival rates were 68.6 and 46.7%, respectively. If the 1 patient not having undergone chemotherapy was excluded, the 2-, 5-year survival rates were 76.2 and 50.8%, respectively? No difference in the survival rate was seen between patients with TNM stages I and II. Conclusion : Adjuvant chemotherapy after surgical resection results in prolonged survival for patients with TNM stages I and II small-cell carcinomas of the lung.

• Journal of Gastric Cancer
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• v.6 no.2
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• pp.114-119
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• 2006

Purpose: The purpose of this study is to determine whether it is possible to evaluate patients with pN2 or pN3 early gastric cancer (EGC) as being in an advanced stage before and during the operation. Materials and Methods: 4,430 patients underwent a gastrectomy for cancer from 1990 to 2003. Eight of the 552 patients with EGC included pN2 or pN3. The estimated clinical and surgical stage before and during the operation were compared to the pathological results, and a follow-up of progression was done. Results: The patients were evenly distributed among all age groups with seven men and one woman. The pre-operative estimate of T1 by CT was 25% (2/8). In the main, the cT stage was over estimated. The estimate of over N2 was 50% (4/8). One patient was preoperatively staged as la sT1 during operation was 57.1% (4/7), and the estimate of over N2 was 67% (4/6). Two patients were intraoperatively evaluated as Ia. Only one patient survived over 5 years, and the mean survival of these patients was 15 months $(95%\;Cl:\;0{\sim}35.5)$. Conclusion: It was generally possible to evaluate patients with EGC of over pN2 as being in an advanced stage before and during the operation. Although very rare (2/552, 0.04%), there were EGC patients whose stages were not predictable at all. Therefore, more precise preoperative and intraoperative staging methods are warranted.

• Tuberculosis and Respiratory Diseases
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• v.42 no.3
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• pp.314-321
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• 1995

Background: Flow cytometric study has been used to measure the DNA content of solid tumors for the last decade. DNA ploidy is an important property commonly measured by flow cytometry. The possibility to study archival paraffin-embedded tumors has hastened an appreciation of prognostic utility of this method. The aim of this study is to look for biologic prognostic indicator for survival time of patients with small cell carcinoma of lung in addition to the well known clinical prognostic factors. Method: DNA ploidy was measured by flow cytometric method using tumor cells isolated from paraffin embedded tissue. To evaluate the prognostic significance, DNA ploidy of small cell lung cancer was analysed in 42 patients who died after receiving anticancer chemotherapy. Results: 1) Mean survival time of all patients was 190(${\pm}156$) days. Survival time was shortened, when TNM stage and PS scale were advanced. 2) 62% of all patients was DNA aneuploidy. DNA ploidy had nothing to do with advance of TNM stage and PS scale. 3) Mean survival time of aneuploid tumor was significantly shorter($138{\pm}90$ days) than that of diploid tumors($272{\pm}197$ days).(p<0.001) 4) To exclude the influence of clinical prognostic factors such as TNM stage and PS scale, the analysis was restricted to subgroups of identical stage. We were able to find the same tendency. Conclusion: DNA ploidy is an independent prognostic factor in small cell lung cancer.

• Journal of Gastric Cancer
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• v.5 no.3 s.19
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• pp.163-168
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• 2005

Purpose: We analyzed cases of advanced gastric cancer (AGC) by using two nodal stagings, UICC and Japanese systems. We also analyzed cases of UICC N3M0 by different ways to see which nodal system or group had better prognostic power. Materials and Methods: From Feb. 1990 to May 2000, 197 UICC M0 patients of AGC who had undergone curative resection were analyzed by using the nodal stagings of the UICC and the Japanese systems. Also, 58 patients with UICC N3M0 gastric cancer were analyzed by using the Japanese n-staging, metastatic ratio and the metastatic number Results: The 5-year survival rates were 62.9%, 33.0% and 21.2% for UICC N1, N2 and N3, and 61.2% and 25.3% for Japanese n1 and n2, respectively in patients of N3M0 AGC, the 5-year survival rates were 62.5% for Japanese n1, and 33.0% and 22.9% for metastatic ratios of less than 0.5 and metastatic numbers below 26, respectively significantly better than the 5-year survival rates for higher ratios and numbers (P=0.018, 0.021). Conclusion: UICC N staging of gastric cancer has better prognostic power with differentiation between stages than Japanese n staging. In patients with UICC N3M0 gastric cancer, the metastatic ratio and the metastatic number, as well as the Japanese n staging, were valuable prognostic factors.

• Journal of Gastric Cancer
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• v.9 no.3
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• pp.88-95
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• 2009

Purpose: p53 and bcl-2 are important markers of apoptosis. The expression of p53 and bcl-2 in gastric adenocarcinoma was examined in relation to prognosis and survival rate. Materials and Methods: The clinicopathologic data from 238 patients who underwent gastrectomies for gastric adenocarcinoma between December 1999 and July 2007 were reviewed. Immunohistochemical staining of gastric adenocarcinoma tissues embedded in paraffin blocks was performed using an Envision kit (DAKO, Glostrup, Denmark). Statistical comparisons were made between age, gender, tumor invasion, lymph node metastasis, TNM stage, Lauren's classification, cell differentiation, and the relationship with p53 and bcl-2. Results: The expression of p53 was related to cell differentiation (P=0.028) and UICC TNM stage (P<0.001). The expression of bcl-2 was related to UICC TNM stage (P=0.005). The co-expression of p53 and bcl-2 was related to UICC TNM stage (P=0.002). The co-expression group exhibited a greater reduction in the survival rate (P=0.001). Conclusion: The expression of p53 and bcl-2 nuclear proteins has significant relationships with other conventional prognostic factors and the survival rate. bcl-2 will be characterized through analysis of a greater number of patients and comparison with survival data over a longer period of time.

• Tuberculosis and Respiratory Diseases
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• v.40 no.6
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• pp.669-676
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• 1993

Background: DNA content analysis of human solid tumor is now widely performed by flow cytometric study. One of the most interesting and potentially important observation in this field is that proliferative activity(S-Phase fraction of cell cycle) may profoundly affect prognosis. Method: S-Phase fraction(SPF) have been measured by flow cytometric method using tumor cells isolated from paraffin embedded tissue. To evaluate the prognostic significance, SPF of squamous lung cancer cell was assessed in 21 patients who died without any specific treatment. Results: 1) Mean survival time of squamous lung cancer patients was 225(${\pm}162$) days. Survival time were shortened, when TNM stage and PS scale were advanced. 2) Mean value of SPF of squamous lung cancer patients was 23.4(${\pm}11.3$)%. SPF had nothing to do with advance of TNM stage and PS scale. 3) Mean survival time of high SPF group(more than 20% of cell proliferation cycle) and low SPF group were 153(${\pm}99$) days and 342(${\pm}180$) days(p<0.01). In each identical TNM stage and PS scale, there were also statistic significant differences in mean survival time between high and low SPF group. Conclusion: On multivariate analysis including TNM stage and performance status, SPF was the significant and independent prognostic factor in the primary squamous lung cancer patients group.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.784-787
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• 2020

폐암 환자의 생존율을 예측할 때 미국암연합회(AJCC)의 TNM병기 분류체계에 의해 진단되는 최종병기를 많이 사용한다. 최종병기는 폐암환자의 임상데이터 중 하나로 종양의 위치, 크기, 전이정도를 고려하여 환자의 폐암 상태를 판별하는 정보이다. 최종병기는 개략적인 환자의 상황을 설명하는 데 효과적이지만, 보다 구체적인 생존분석을 위해서는 임상데이터 뿐만 아니라 PET/CT와 같은 영상 데이터를 함께 분석해야 한다. 이 논문에서는 데이터 과학적 접근을 통해 폐암환자의 임상데이터, CT영상과 PET영상 등 다양한 종류의 데이터를 함께 활용하는 생존분석기법을 검토한다. 실험을 통해 다중 모드 데이터를 활용하는 생존분석을 위해 비선형모델 개발과 Feature임베딩 기법 고도화가 필요함을 확인하였다.