The Prognosis and Recurrence Pattern of Right- and Left-Sided Colon Cancer in Stage II, Stage III, and Liver Metastasis After Curative Resection

Nakamura, Yasuyuki; Hokuto, Daisuke; Koyama, Fumikazu; Matsuo, Yasuko; Nomi, Takeo; Yoshikawa, Takahiro; Kamitani, Naoki; Sadamitsu, Tomomi; Takei, Yoshiyuki; Matsumoto, Yayoi; Iwasa, Yosuke; Fukuoka, Kohei; Obara, Shinsaku; Nakamoto, Takayuki; Kuge, Hiroyuki; Sho, Masayuki

doi:10.3393/ac.2020.09.14

Cited by 31 publications

(31 citation statements)

References 23 publications

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“…The findings of this research are consistent with the previous traditional TNM staging system, which indicate that the prognosis of tumor patients is closely related to primary tumor site, regional lymph node involvement, and distant metastases ( Hari et al, 2013 ). The site of the tumor distant metastasis also matters a lot, compared to those without tumor metastasis, patients with bone metastasis, brain metastasis, lung metastasis, and liver metastasis were at higher risk of death ( Chang et al, 2017 ; Wang et al, 2020 ; Nakamura et al, 2021 ). Additionally, our study showed that different tumor sites of colon cancer had significantly different prognoses.…”

Section: Discussionmentioning

confidence: 99%

“…In general, the factors that affect the prognosis of CC mainly come from the tumor aspect, including the size of the tumor, the location of the tumor, and the depth of tumor infiltration ( Feng et al, 2021 ; Huang et al, 2021 ; Wang et al, 2021 ). Of course, distant metastasis also contributed to the reduction in the survival of CC patients ( Chang et al, 2017 ; Nakamura et al, 2021 ). Clinically, CC can easily metastasize to other parts of the body, the most frequently metastatic organs were lung and liver, followed by bone and brain ( Wang et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

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Survival Nomogram for Metastasis Colon Cancer Patients Based on SEER Database

Tai

Xue

et al. 2022

Front. Genet.

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Introduction: A prediction model for the 1-, 3-, and 5-year survival rates of metastatic colon cancer (mCC) patients was developed by analyzing important risk factors for the prognosis of mCC patients based on the SEER database.Method: The characteristic of 10,946 patients diagnosed with mCC between 2010 and 2015 was obtained from the SEER database. The population was randomly divided into a training cohort and an internal validation cohort in a 7:3 ratio. Univariate and multivariate cox for independent predictors of mCC prognosis were performed, and nomogram was constructed. The accuracy of the model was verified by calibration curves, ROC curves, and C-index, and the clinical utility of the model was analyzed using decision analysis curves.Result: Age, primary site, grade, surgery, and other eight factors were significantly associated with the prognosis of mCC patients, and these predictors were included in the construction of the nomogram. The C-index was 0.731 (95% CI 0.725–0.737) and 0.736 (95% CI 0.726–0.746) for the training cohort and the validation set, respectively. The results of the ROC curve analysis indicated that the area under the curve (AUC) exceeded 0.7 for both the training cohort and the validation set at 1, 3, and 5 years.Conclusion: The constructed prediction model had an excellent predictive accuracy, which will help clinical decision-making of mCC patients after surgery and individualized treatment.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Survival Nomogram for Metastasis Colon Cancer Patients Based on SEER Database

Tai

Xue

et al. 2022

Front. Genet.

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“…The results, however, have been variable. Some studies have shown that LVI is a significant prognostic factor for either RFS or OS [ 11 , 24 ]. In contrast, other studies have reported no effect of LVI on RFS or OS [ 11 , 25 ].…”

Section: Discussionmentioning

confidence: 99%

“…High-risk prognostic features such as preoperative obstruction, perineural invasion (PNI), lymphovascular invasion (LVI), <12 lymph nodes retrieved, poor differentiation, and resection margin involvement have been used when deciding whether adjuvant chemotherapy is indicated for patients with pT3N0 colorectal cancer [ 2 , 3 ]. Among the risk factors, LVI and PNI are well known and common pathologic high-risk features for oncologic outcome [ 10 , 11 , 12 ]. In particular, LVI has been considered a possible predictor of occult lymph node metastasis [ 10 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

The Prognostic Reliability of Lymphovascular Invasion for Patients with T3N0 Colorectal Cancer in Adjuvant Chemotherapy Decision Making

Lee

Yoo

Park

et al. 2022

Cancers

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Lymphovascular invasion (LVI) is a high-risk feature guiding decision making for adjuvant chemotherapy. We evaluated the prognostic importance and reliability of LVI as an adjuvant chemotherapy indicator in 1634 patients with pT3N0 colorectal cancer treated with curative radical resection between 2012 and 2016. LVI and perineural invasion (PNI) were identified in 382 (23.5%) and 269 (16.5%) patients, respectively. In total, 772 patients received adjuvant chemotherapy. The five-year recurrence-free survival (RFS) and OS rates were 92% and 94.8%, respectively. Preoperative obstruction, PNI, and positive margins were significantly associated with RFS and OS; however, adjuvant chemotherapy and LVI were not. Pathologic slide central reviews of 242 patients using dual D2-40 and CD31 immunohistochemical staining was performed. In the review cohort, the diagnosis of LVI and PNI was changed in 82 (33.9%) and 61 (25.2%) patients, respectively. Reviewed LVI, encompassing small vessel invasion, lymphatic invasion, and large vessel invasion, was not an independent risk factor associated with OS but was related to RFS. The prognostic importance of LVI and adjuvant chemotherapy was not defined because LVI may be underrecognized in pathologic diagnoses using hematoxylin and eosin staining slides only, leading to low recurrence rate predictions. Using LVI as a guiding factor for adjuvant chemotherapy requires further consideration.

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“…At present, colon cancer is mainly treated with surgery combined with chemotherapy (1,2). Great progresses have been made in the early discovery and treatment of colon cancer; as a result, its morbidity and mortality rates decrease by 30-50% among the relapsed or metastatic cases in 5 years of treatment (3). Oxaliplatin is a kind of third-generation platinum-based anticancer drug and a diaminocyclohexane (DACH) platinum, which is now adopted for treating diverse cancers (4,5).…”

Section: Introductionmentioning

confidence: 99%

A New Oxaliplatin Resistance-Related Gene Signature With Strong Predicting Ability in Colon Cancer Identified by Comprehensive Profiling

2021

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Numerous colon cancer cases are resistant to chemotherapy based on oxaliplatin and suffer from relapse. A number of survival- and prognosis-related biomarkers have been identified based on database mining for patients who develop drug resistance, but the single individual gene biomarker cannot attain high specificity and sensitivity in prognosis prediction. This work was conducted aiming to establish a new gene signature using oxaliplatin resistance-related genes to predict the prognosis for colon cancer. To this end, we downloaded gene expression profile data of cell lines that are resistant and not resistant to oxaliplatin from the Gene Expression Omnibus (GEO) database. Altogether, 495 oxaliplatin resistance-related genes were searched by weighted gene co-expression network analysis (WGCNA) and differential expression analysis. As suggested by functional analysis, the above genes were mostly enriched into cell adhesion and immune processes. Besides, a signature was built based on four oxaliplatin resistance-related genes selected from the training set to predict the overall survival (OS) by stepwise regression and least absolute shrinkage and selection operator (LASSO) Cox analysis. Relative to the low risk score group, the high risk score group had dismal OS (P < 0.0001). Moreover, the area under the curve (AUC) value regarding the 5-year OS was 0.72, indicating that the risk score was accurate in the prediction of OS for colon cancer patients (AUC >0.7). Additionally, multivariate Cox regression suggested that the signature constructed based on four oxaliplatin resistance-related genes predicted the prognosis for colon cancer cases [hazard ratio (HR), 2.77; 95% CI, 2.03–3.78; P < 0.001]. Finally, external test sets were utilized to further validate the stability and accuracy of oxaliplatin resistance-related gene signature for prognosis of colon cancer patients. To sum up, this study establishes a signature based on four oxaliplatin resistance-related genes for predicting the survival of colon cancer patients, which sheds more light on the mechanisms of oxaliplatin resistance and helps identify colon cancer cases with a dismal prognostic outcome.

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The Prognosis and Recurrence Pattern of Right- and Left-Sided Colon Cancer in Stage II, Stage III, and Liver Metastasis After Curative Resection

Abstract: The prognosis and recurrence pattern of right-and left-sided colon cancer in Stage II, Stage III, and liver metastasis after curative resection

Cited by 31 publications

References 23 publications

Survival Nomogram for Metastasis Colon Cancer Patients Based on SEER Database

Survival Nomogram for Metastasis Colon Cancer Patients Based on SEER Database

The Prognostic Reliability of Lymphovascular Invasion for Patients with T3N0 Colorectal Cancer in Adjuvant Chemotherapy Decision Making

A New Oxaliplatin Resistance-Related Gene Signature With Strong Predicting Ability in Colon Cancer Identified by Comprehensive Profiling

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