TNM Staging of Colorectal Cancer Should be Reconsidered According to Weighting of the T Stage

Li, Jun; Yi, Chenghao; Hu, Yeting; Li, Jinsong; Yuan, Ying; Zhang, Suzhan; Zheng, Shaojiang; Ding, Kefeng

doi:10.1097/md.0000000000002711

Cited by 53 publications

(46 citation statements)

References 21 publications

(30 reference statements)

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“…The Finnish electronic medical records system tracks every patient until death, ensuring that no patients in this study were lost during follow-up. The 5-year survival rates in this study are comparable to those in larger studies reported previously [13,[20][21][22][23].…”

Section: Discussionsupporting

confidence: 81%

Trends in presentation, treatment and survival of 1777 patients with colorectal cancer over a decade: a Biobank study

et al. 2017

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Background: Most survival data in colorectal cancer (CRC) is derived from clinical trials or registerbased studies. Hospital Biobanks, linked with hospital electronic records, could serve as a data-gathering method based on consecutively collected tumor samples. The aim of this Biobank study was to analyze survival of colorectal patients diagnosed and treated in a single-center university hospital over a period of 12 years, and to evaluate factors contributing to outcome.

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Section: Discussionsupporting

confidence: 81%

Trends in presentation, treatment and survival of 1777 patients with colorectal cancer over a decade: a Biobank study

et al. 2017

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“…It is well accepted that poorly differentiated and moderately differentiated carcinomas have worse prognoses than high differentiation carcinoma 27 . TNM staging is a classic evaluation of prognostic criteria, and the patients with stage III and IV have a worse prognosis than patients with TNM I and II 28 . In summary, hsa_circ_0067934 may represent a potential biomarker for assessing the risk of esophageal cancer and could function as a marker of ESCC prognosis.…”

Section: Discussionmentioning

confidence: 99%

Circular RNA has_circ_0067934 is upregulated in esophageal squamous cell carcinoma and promoted proliferation

Xia

Qiu

Chen

et al. 2016

Sci Rep

234

200

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Esophageal squamous cell carcinoma (ESCC) is one of the most prevalent and deadly types of cancer worldwide especially in Eastern Asia and the prognosis of ESCC remain poor. Recent evidence suggests that circular RNAs (circRNAs) play important roles in multiple diseases, including cancer. In this study, we characterized a novel circRNA termed hsa_circ_0067934 in ESCC tumor tissues and cell lines. We analyzed a cohort of 51 patients and found that hsa_circ_0067934 was significantly overexpressed in ESCC tissues compared with paired adjacent normal tissues. The high expression level of hsa_circ_0067934 was associated with poor differentiation (P = 0.025), I-II T stage (P = 0.04), and I-II TNM stage (P = 0.021). The in vitro silence of hsa_circ_0067934 by siRNA inhibited the proliferation and migration of ESCC cells and blocked cell cycle progression. Cell fraction analyses and fluorescence in situ hybridization detected that hsa_circ_0067934 was mostly located in the cytoplasm. Our findings suggest that hsa_circ_0067934 is upregulated in ESCC tumor tissue. Our data suggest that hsa_circ_0067934 represents a novel potential biomarker and therapeutic target of ESCC.

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“…The average standardized nomo-score of each TN combination from the three nomograms was then calculated. After ranking the average standardized nomo-score, we planned to divide the 25 TN combinations into five groups (I, II, IIIa, IIIb and IIIc) to be in consistence with previous studies [ 4 , 5 ]. As we found 5 stage groups would make the staging model simplest to analyze while still retain the survival paradox.…”

Section: Methodsmentioning

confidence: 99%

“…This study showed that T stage affected postoperative survival more significantly than N stage in non-metastatic colorectal cancer, and the survival paradox was also eliminated by adopting the T-plus staging system [ 4 ]. This staging system was verified by a Chinese cohort with 25-year follow-up [ 5 ]. However, the implemented process of this research applied linear regression, while the effect of TN combinations on survival may be non-linear.…”

Section: Introductionmentioning

confidence: 99%

A modified TNM staging system for non-metastatic colorectal cancer based on nomogram analysis of SEER database

Kong

Cai

et al. 2018

BMC Cancer

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Background: To revise the American Joint Committee on Cancer TNM staging system for colorectal cancer (CRC) based on a nomogram analysis of Surveillance, Epidemiology, and End Results (SEER) database, and to prove the rationality of enhancing T stage's weighting in our previously proposed T-plus staging system. Methods: Total 115,377 non-metastatic CRC patients from SEER were randomly grouped as training and testing set by ratio 1:1. The Nomo-staging system was established via three nomograms based on 1-year, 2-year and 3-year disease specific survival (DSS) Logistic regression analysis of the training set. The predictive value of Nomo-staging system for the testing set was evaluated by concordance index (c-index), likelihood ratio (L.R.) and Akaike information criteria (AIC) for 1-year, 2-year, 3-year overall survival (OS) and DSS. Kaplan-Meier survival curve was used to valuate discrimination and gradient monotonicity. And an external validation was performed on database from the Second Affiliated Hospital of Zhejiang University (SAHZU).

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TNM Staging of Colorectal Cancer Should be Reconsidered According to Weighting of the T Stage

Abstract: Supplemental Digital Content is available in the text

Cited by 53 publications

References 21 publications

Trends in presentation, treatment and survival of 1777 patients with colorectal cancer over a decade: a Biobank study

Trends in presentation, treatment and survival of 1777 patients with colorectal cancer over a decade: a Biobank study

Circular RNA has_circ_0067934 is upregulated in esophageal squamous cell carcinoma and promoted proliferation

A modified TNM staging system for non-metastatic colorectal cancer based on nomogram analysis of SEER database

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