Transcript 幻灯片 1

Clinical Prognostic Factors in Gastric Cancer
in Chinese Patients:
Experience from the Cancer Hospital/Institute,
Chinese Academy of Medical Sciences
Yuankai Shi, M.D.
Department of Medical Oncology,
Cancer Hospital/Institute,
Chinese Academy of Medical Sciences (CAMS)
Background
Gastric cancer worldwide in 2002:
4th most common cancer, 2nd most common cause of death,
2/3 patients in developing countries, 42% of them in China
Parkin DM, et al. CA Cancer J Clin. 2005;55:74
5-year overall survival: 15%-54%
Parkin DM, et al. CA Cancer J Clin. 2005;55:74
Gastric cancer in China in 2005
 Incidence:
376,000 new cases
Third most common cancer
 Mortality:
24.71/105
Third cause of death from cancer
Behind Lung cancer and Liver cancer
http://www.moh.gov.cn
Objective
 To evaluate the therapeutic effects and
prognostic factors in patients with operable
gastric cancer
 To construct a prognostic model
Materials and methods
 Identify prognostic factors with data from 1043 pts treated with
combined modality therapy based on gastrectomy, between 1999 and
2002, in the Cancer Hospital, CAMS
 Construct prognostic model with data from 1284 pts with combined
modality treatment based on gastrectomy, between 1999-2006, in the
Cancer Hospital, CAMS
 Statistical analysis
Life Table, Cox hazard proportional model, Logistic regression model
Results
5-year
39%
15%
1043 pts with operable gastric cancer
Median survival: 39.5 mo
median relapse-free survival: 22.7 mo
5-y OS: 39%
5-year OS
100%
91%
5-y RFS: 15%
84%
61%
33%
19%
5%
median follow-up: 51.6 mo
Univariate analysis in 1043 pts
Univariate analysis in 1043 pts
Independent prognostic factors
Construct
Randomized
Training
sample
n=963
Prognostic equation
Prognostic index
All
pts
n=1284
Testing
sample
n=321
Prognostic model
Validate
Overall survival and relapse-free survival
Survival (%)
100
Median follow-up: 35.7 mo
80
5-y OS: 40%
60
5-y RFS: 12%
40
OS
20
RFS
0
0
24
48
72
96
120
Time (months)
Fig. Overall survival (OS) and relapse-free survival (RFS) for 1284 patients.
Univariate analysis in 1284 pts
Univariate analysis in 1284 pts
Independent prognostic factors of OS in training sample
Prognostic model
Factors
Score
Risk group
Score
Age>60y
1
Low risk (L)
0-1
Proximal
1
Stage Ⅲ/Ⅳ
2
Low intermediate (LI)
2-3
High intermediate (HI)
4-5
High risk (H)
6-8
LNM ratio>1/3
2
PCI
2
LNM: Lymphonode metastases; PCI: peritoneal cavity involvement.
Risk model defined by prognostic index
Risk model in age group
5-y OS
81%
48%
20%
0
P<0.001
5-year OS
5-y OS
82%
82%
60%
60%
27%
27%
7%
7%
P<0.001
Risk model in stage
Survival curve according to risk model
L
LI
L
LI
Risk model in treatment
Discussion
Lagarde SM, et al. J Clin Oncol, 2006, 24:4347
Comparison in gastric cancer prognostic factors
Author
Time
N
Patients
Independent prognostic factors
Zhan
2005
497
curative
Stage, Size, Perioperative chemotherapy
Yolota
2002
697
operable
Site, T category, LNM
Schwarz
2007
1377
operable
IIIA-IV
Age, Site, Number of LNM,
T category, Sex
1043
operable
Age, Site, Size, Stage, Ratio of LNM,
PCI, Curative resection, Combined therapy
The present
study
Zhan YQ, et al. Ai Zheng 2005,24:596;
Yokota T, et al. Anticancer Res 2002,22:3673;
Schwarz RE et al. Ann Surg Oncol 2007,14:317
Conclusion

This risk model could identify various outcomes
in pts with the same stage from IB to IV

This risk model also could identify different
outcomes in pts with the same treatment status

Prospective study are warranted to validate
these findings.
Acknowledgements
Dept. of Abdominal Surgical Oncology
 Zhi-xiang Zhou
 Hai-zeng Zhang
 Yi Shan
 Ping Zhao
 Xiang Wang
 Jian-xiong Wu
 Yong-fu Zhao
Dept. of Pathology
 Xun Zhang
 Yan Song
 Shang-mei Liu
Dept. of Medical Oncology
 Jing Wang
 Jin-wan Wang
 Hong-gang Zhang
 Yu-sheng Li
 Jing Huang
 Xiao-hui He
 Xiao-hong Han
Dept. of Imaging Diagnosis
 Chun-wu Zhou
 Li-ming Jiang
 Zhu Wang
Thank you for your attention!