Associations of P Score With Real-World Survival Improvement Offered by Adjuvant Chemotherapy in Stage II Colon Cancer: A Large Population-Based Longitudinal Cohort Study

Based on a prognostic scoring system ( score) proposed by us recently, this retrospective large population-based and propensity score-matched (PSM) study focused on predicting the survival benefit of adjuvant CT in stage II disease. Patients diagnosed with stage II colon cancer (N = 73397) were iden...

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Published inFrontiers in oncology Vol. 11; p. 574772
Main Authors Liu, Qi, Shan, Zezhi, Luo, Dakui, Zhang, Sheng, Li, Qingguo, Li, Xinxiang
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Abstract Based on a prognostic scoring system ( score) proposed by us recently, this retrospective large population-based and propensity score-matched (PSM) study focused on predicting the survival benefit of adjuvant CT in stage II disease. Patients diagnosed with stage II colon cancer (N = 73397) were identified from the Surveillance, Epidemiology, and End Results database between January 1, 1988 and December 31, 2005 and divided into the CT and non-CT groups. PSM balanced the patient characteristics between the CT and non-CT groups. The magnitude of CSS improvement among patients treated with adjuvant CT was significantly associated with the P score, score 8 [hazard ratio (HR) = 0.580, 95% confidence interval (CI) = 0.323-1.040, P = 0.067] was associated with a much higher increased CSS benefit among patients treated with adjuvant CT as compared to score 2* (*, including scores 0, 1, and 2; HR = 1.338, 95% CI = 1.089-1.644, P = 0.006). High scores were demonstrated to be associated with superior survival benefit of adjuvant CT. Therapy decisions of adjuvant CT in stage II colon cancer could be tailored on the basis of tumor biology, patient characteristics and the score.
AbstractList BackgroundBased on a prognostic scoring system (P score) proposed by us recently, this retrospective large population-based and propensity score-matched (PSM) study focused on predicting the survival benefit of adjuvant CT in stage II disease.MethodsPatients diagnosed with stage II colon cancer (N = 73397) were identified from the Surveillance, Epidemiology, and End Results database between January 1, 1988 and December 31, 2005 and divided into the CT and non-CT groups. PSM balanced the patient characteristics between the CT and non-CT groups.ResultsThe magnitude of CSS improvement among patients treated with adjuvant CT was significantly associated with the P score, score 8 [hazard ratio (HR) = 0.580, 95% confidence interval (CI) = 0.323–1.040, P = 0.067] was associated with a much higher increased CSS benefit among patients treated with adjuvant CT as compared to score 2* (*, including scores 0, 1, and 2; HR = 1.338, 95% CI = 1.089–1.644, P = 0.006).ConclusionsHigh P scores were demonstrated to be associated with superior survival benefit of adjuvant CT. Therapy decisions of adjuvant CT in stage II colon cancer could be tailored on the basis of tumor biology, patient characteristics and the P score.
Based on a prognostic scoring system ( score) proposed by us recently, this retrospective large population-based and propensity score-matched (PSM) study focused on predicting the survival benefit of adjuvant CT in stage II disease. Patients diagnosed with stage II colon cancer (N = 73397) were identified from the Surveillance, Epidemiology, and End Results database between January 1, 1988 and December 31, 2005 and divided into the CT and non-CT groups. PSM balanced the patient characteristics between the CT and non-CT groups. The magnitude of CSS improvement among patients treated with adjuvant CT was significantly associated with the P score, score 8 [hazard ratio (HR) = 0.580, 95% confidence interval (CI) = 0.323-1.040, P = 0.067] was associated with a much higher increased CSS benefit among patients treated with adjuvant CT as compared to score 2* (*, including scores 0, 1, and 2; HR = 1.338, 95% CI = 1.089-1.644, P = 0.006). High scores were demonstrated to be associated with superior survival benefit of adjuvant CT. Therapy decisions of adjuvant CT in stage II colon cancer could be tailored on the basis of tumor biology, patient characteristics and the score.
Based on a prognostic scoring system (P score) proposed by us recently, this retrospective large population-based and propensity score-matched (PSM) study focused on predicting the survival benefit of adjuvant CT in stage II disease.BACKGROUNDBased on a prognostic scoring system (P score) proposed by us recently, this retrospective large population-based and propensity score-matched (PSM) study focused on predicting the survival benefit of adjuvant CT in stage II disease.Patients diagnosed with stage II colon cancer (N = 73397) were identified from the Surveillance, Epidemiology, and End Results database between January 1, 1988 and December 31, 2005 and divided into the CT and non-CT groups. PSM balanced the patient characteristics between the CT and non-CT groups.METHODSPatients diagnosed with stage II colon cancer (N = 73397) were identified from the Surveillance, Epidemiology, and End Results database between January 1, 1988 and December 31, 2005 and divided into the CT and non-CT groups. PSM balanced the patient characteristics between the CT and non-CT groups.The magnitude of CSS improvement among patients treated with adjuvant CT was significantly associated with the P score, score 8 [hazard ratio (HR) = 0.580, 95% confidence interval (CI) = 0.323-1.040, P = 0.067] was associated with a much higher increased CSS benefit among patients treated with adjuvant CT as compared to score 2* (*, including scores 0, 1, and 2; HR = 1.338, 95% CI = 1.089-1.644, P = 0.006).RESULTSThe magnitude of CSS improvement among patients treated with adjuvant CT was significantly associated with the P score, score 8 [hazard ratio (HR) = 0.580, 95% confidence interval (CI) = 0.323-1.040, P = 0.067] was associated with a much higher increased CSS benefit among patients treated with adjuvant CT as compared to score 2* (*, including scores 0, 1, and 2; HR = 1.338, 95% CI = 1.089-1.644, P = 0.006).High P scores were demonstrated to be associated with superior survival benefit of adjuvant CT. Therapy decisions of adjuvant CT in stage II colon cancer could be tailored on the basis of tumor biology, patient characteristics and the P score.CONCLUSIONSHigh P scores were demonstrated to be associated with superior survival benefit of adjuvant CT. Therapy decisions of adjuvant CT in stage II colon cancer could be tailored on the basis of tumor biology, patient characteristics and the P score.
Author Zhang, Sheng
Li, Xinxiang
Shan, Zezhi
Li, Qingguo
Luo, Dakui
Liu, Qi
AuthorAffiliation 2 Department of Oncology, Shanghai Medical College, Fudan University , Shanghai , China
1 Department of Colorectal Surgery, Fudan University Shanghai Cancer Center , Shanghai , China
AuthorAffiliation_xml – name: 1 Department of Colorectal Surgery, Fudan University Shanghai Cancer Center , Shanghai , China
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Keywords adjuvant chemotherapy
SEER
stage II
prognostic scoring system
colon cancer
Language English
License Copyright © 2021 Liu, Shan, Luo, Zhang, Li and Li.
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Reviewed by: Akihito Tsuji, Kagawa University, Japan; Keiichi Takahashi, Tokyo Metropolitan Komagome Hospital, Japan
This article was submitted to Gastrointestinal Cancers, a section of the journal Frontiers in Oncology
Edited by: Khurum Hayat Khan, University College London, United Kingdom
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Snippet Based on a prognostic scoring system ( score) proposed by us recently, this retrospective large population-based and propensity score-matched (PSM) study...
Based on a prognostic scoring system (P score) proposed by us recently, this retrospective large population-based and propensity score-matched (PSM) study...
BackgroundBased on a prognostic scoring system (P score) proposed by us recently, this retrospective large population-based and propensity score-matched (PSM)...
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SubjectTerms adjuvant chemotherapy
colon cancer
Oncology
prognostic scoring system
SEER
stage II
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Title Associations of P Score With Real-World Survival Improvement Offered by Adjuvant Chemotherapy in Stage II Colon Cancer: A Large Population-Based Longitudinal Cohort Study
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