Tumor thickness is a histopathologic predictive parameter of tumor metastasis and prognosis in patients with Dukes Stage C ulcerative-type colorectal carcinoma

Hasebe, Takahiro; Morihiro, Masato; Sasaki, Satoshi; Shimoda, Tadakazu; Sugitoh, Masanori; Moriya, Yoshihiro; Ono, Masato; Arai, Tatsuo; Ochiai, Atsushi

doi:10.1002/1097-0142(20000701)89:1<35::aid-cncr6>3.0.co;2-g

Cited by 7 publications

(4 citation statements)

References 24 publications

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“…Several studies tried to construct predicting models for pCR based on clinicopathological characteristics. In our study, we also combined available clinical characteristics with rad-scores by a GBM method and the clinical variables that contribute to the model include CEA, tumor thickness, MRF, clinical N stage, which is consistent with previous studies based on a large sample size [ 8 – 11 , 47 , 48 ]. Decision trees have shown good performance with the application of this model, which is recently applied to statistical learning methods for classification and regression.…”

Section: Discussionsupporting

confidence: 81%

Radiomic signature of the FOWARC trial predicts pathological response to neoadjuvant treatment in rectal cancer

Zhuang

Liu

et al. 2021

J Transl Med

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Background We aimed to develop a radiomic model based on pre-treatment computed tomography (CT) to predict the pathological complete response (pCR) in patients with rectal cancer after neoadjuvant treatment and tried to integrate our model with magnetic resonance imaging (MRI)-based radiomic signature. Methods This was a secondary analysis of the FOWARC randomized controlled trial. Radiomic features were extracted from pre-treatment portal venous-phase contrast-enhanced CT images of 177 patients with rectal cancer. Patients were randomly allocated to the primary and validation cohort. The least absolute shrinkage and selection operator regression was applied to select predictive features to build a radiomic signature for pCR prediction (rad-score). This CT-based rad-score was integrated with clinicopathological variables using gradient boosting machine (GBM) or MRI-based rad-score to construct comprehensive models for pCR prediction. The performance of CT-based model was evaluated and compared by receiver operator characteristic (ROC) curve analysis. The LR (likelihood ratio) test and AIC (Akaike information criterion) were applied to compare CT-based rad-score, MRI-based rad-score and the combined rad-score. Results We developed a CT-based rad-score for pCR prediction and a gradient boosting machine (GBM) model was built after clinicopathological variables were incorporated, with improved AUCs of 0.997 [95% CI 0.990–1.000] and 0.822 [95% CI 0.649–0.995] in the primary and validation cohort, respectively. Moreover, we constructed a combined model of CT- and MRI-based radiomic signatures that achieve better AIC (75.49 vs. 81.34 vs.82.39) than CT-based rad-score (P = 0.005) and MRI-based rad-score (P = 0.003) alone did. Conclusions The CT-based radiomic models we constructed may provide a useful and reliable tool to predict pCR after neoadjuvant treatment, identify patients that are appropriate for a 'watch and wait' approach, and thus avoid overtreatment. Moreover, the CT-based radiomic signature may add predictive value to the MRI-based models for clinical decision making.

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Section: Discussionsupporting

confidence: 81%

Radiomic signature of the FOWARC trial predicts pathological response to neoadjuvant treatment in rectal cancer

Zhuang

Liu

et al. 2021

J Transl Med

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“…B owel wall penetration and lymph node involvement are critical indicators of outcome in patients with rectal cancer. [1][2][3][4][5] They influence local tumor control and patient survival. The number of involved lymph nodes 6 and the number of lymph nodes examined 6,7 are found to be directly related to the survival of these patients.…”

mentioning

confidence: 99%

Impact of Microscopic Extranodal Tumor Deposits on the Outcome of Patients With Rectal Cancer

Prabhudesai¹,

Arif²,

Finlayson³

et al. 2003

Diseases of the Colon &Amp; Rectum

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“…1 Despite the aggressive en bloc multivisceral resection (MVR) approach, this therapeutic modality usually results in an unsatisfying low negative microscopic margin (R0 resection) rate, significant surgical trauma, serious postoperative complications, and even high tumor recurrence rate. 2,3 The proportion of micrometastases and probability of intraoperative tumor cell shedding in patients with T4bM0 CRC are higher than that in patients with other stages, 4,5 suggesting the necessity of neoadjuvant therapy. Traditional neoadjuvant chemoradiotherapy (neoCRT)/ neoadjuvant chemotherapy (NAC) has been shown to minimize the extent of surgery and improve the postoperative recovery and survival in T4bM0 CRC and other cancer types.…”

Section: Resultsmentioning

confidence: 99%

“…The proportion of micrometastases and probability of intraoperative tumor cell shedding in patients with T4bM0 CRC are higher than that in patients with other stages, 4,5 suggesting the necessity of neoadjuvant therapy. Traditional neoadjuvant chemoradiotherapy (neoCRT)/neoadjuvant chemotherapy (NAC) has been shown to minimize the extent of surgery and improve the postoperative recovery and survival in T4bM0 CRC and other cancer types.…”

mentioning

confidence: 91%

Neoadjuvant Immune Checkpoint Inhibition Improves Organ Preservation in T4bM0 Colorectal Cancer With Mismatch Repair Deficiency: A Retrospective Observational Study

Han

Tang

Liao

et al. 2023

Diseases of the Colon &Amp; Rectum

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BACKGROUND:Colorectal cancer with mismatch repair deficiency is usually less aggressive and associated with a lower risk of distant metastasis. Immune checkpoint inhibition, rather than traditional chemoradiotherapy, has shown great advantages in treating such patients. OBJECTIVE:This study aimed to verify the hypothesis that locally very advanced (T4b) colorectal cancer without distant metastases might present with higher probability of mismatch repair deficiency and be more sensitive to neoadjuvant immune checkpoint inhibition.DESIGN: This study was designed as a single-center retrospective observational study. SETTINGS:The study was conducted in a tertiary referral center in China. PATIENTS:The study included patients who were clinically diagnosed with T4bM0 colorectal cancer from 2008 to 2019. MAIN OUTCOME MEASURES:Clinicopathological characteristics, mismatch repair status, and survival outcomes of patients with mismatch repair deficiency were analyzed.

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Tumor thickness is a histopathologic predictive parameter of tumor metastasis and prognosis in patients with Dukes Stage C ulcerative-type colorectal carcinoma

Cited by 7 publications

References 24 publications

Radiomic signature of the FOWARC trial predicts pathological response to neoadjuvant treatment in rectal cancer

Radiomic signature of the FOWARC trial predicts pathological response to neoadjuvant treatment in rectal cancer

Impact of Microscopic Extranodal Tumor Deposits on the Outcome of Patients With Rectal Cancer

Neoadjuvant Immune Checkpoint Inhibition Improves Organ Preservation in T4bM0 Colorectal Cancer With Mismatch Repair Deficiency: A Retrospective Observational Study

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