Evidence map›Paper›PMID 33654427›Full record

ArticleCancer management and research2021

Pathologic-Based Nomograms for Predicting Overall Survival and Disease-Free Survival Among Patients with Locally Advanced Rectal Cancer.

Shuai Liu, Fang He, Ying Guan, Huai-Qiang Ju, Yan Ma, Zhen-Hui Li, Xin-Juan Fan, Xiang-Bo Wan, Jian Zheng, Xiao-Lin Pang and 1 more

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Article in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Shuai Liu *Department of Radiation Oncology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou, 510655, People's Republic of China.ORCID 0000-0001-5883-8824
Fang He *Department of Radiation Oncology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou, 510655, People's Republic of China.
Ying Guan *Department of Radiation Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Cancer Institute of Guangxi Zhuang Autonomous Region, Nanning, 530000, People's Republic of China.
Huai-Qiang Ju *Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510030, People's Republic of China.
Yan MaDepartment of Radiation Oncology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou, 510655, People's Republic of China.
Zhen-Hui LiDepartment of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, 650118, People's Republic of China.ORCID 0000-0001-7221-2588
Xin-Juan FanDepartment of Pathology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou, 510655, People's Republic of China.
Xiang-Bo WanDepartment of Radiation Oncology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou, 510655, People's Republic of China.ORCID 0000-0001-9437-6188
Jian ZhengDepartment of Radiation Oncology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou, 510655, People's Republic of China.
Xiao-Lin PangDepartment of Radiation Oncology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou, 510655, People's Republic of China.
Teng-Hui MaDepartment of Colorectal Surgery, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, Guangzhou, 510655, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePreoperative neoadjuvant therapy is standard before surgery for locally advanced rectal cancer in current clinical treatment. However, patients with the same clinical TNM stage before treatment vary in clinical outcomes. More and more studies noted that pathological findings after preoperative neoadjuvant therapy are better prognostic factors to determine prognosis than clinical TNM stage in patients with locally advanced rectal cancer. The purpose of this study is to develop and validate models based on pathological findings to predict overall survival (OS) and disease-free survival (DFS). PATIENTS AND

methodsA total of 3026 patients from two hospitals were included. The endpoint was OS and DFS. Significant predictors of OS on multivariate analysis were used to establish the nomogram.

resultsThe Harrell's C index for OS prediction was 0.72 (95% confidence interval [CI], 0.68 to 0.77) in the training cohort, 0.66 (95% CI, 0.60 to 0.72) and 0.68 (95% CI, 0.64 to 0.73) in the internal and external validation cohorts. Using this nomogram, high- and low-risk groups for OS were defined in the training cohort. The 3-year OS was 78.1% (95% CI: 72.4-84.2%) for the high-risk group and 95% (95% CI: 93.6-96.5%) in the low-risk group (HR: 4.42, 95% CI: 3.22-6.05; P<0.001). This finding was also applied in the two external cohorts. Similarly, a nomogram that contained the same indices was developed and validated to predict for DFS.

conclusionNomograms based on pathological findings are a reliable tool to predict 3-year OS and DFS rate in patients with locally advanced rectal cancer.

Indexed as

disease-free survivallocally advanced rectal cancernomogramoverall survivalpathological findings

Identifiers

PMID33654427
PMCPMC7910108

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