Phase I Study of Lenvatinib and Capecitabine with External Radiation Therapy in Locally Advanced Rectal Adenocarcinoma

Mehta, Rutika; Frakes, Jessica M.; Kim, Jongphil; Nixon, Andrew; Liu, Yingmiao; Howard, Lauren E.; Jimenez, Maria E Martinez; Carballido, Estrella M.; Imanirad, Iman; Sánchez, Julián; Dessureault, Sophie; Xie, Hao; Felder, Seth; Şahin, Ibrahim Halil; Hoffe, Sarah E.; Malafa, Mokenge P.; Kim, Richard D.

doi:10.1093/oncolo/oyac003

Cited by 2 publications

(1 citation statement)

References 20 publications

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“…In addition, some retrospective studies provided the same conclusion [9–12]. Increasing numbers of clinical trials, such as the E‐LARC Study [22], NRG‐GI002 [23], and NCT02935309 [24], have used the NAR score as a surrogate end‐point for tumor response and control. However, to the best of our knowledge, it remains unknown whether the NAR score has a better predictive ability for survival than ypT/N staging or pCR [11, 16, 17].…”

Section: Discussionmentioning

confidence: 97%

Prognostic ability of the neoadjuvant rectal (NAR) score in long‐course concurrent chemoradiotherapy for patients with locally advanced rectal cancer: a retrospective cohort study

Peng

et al. 2023

Malignancy Spectrum

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BackgroundThe aims of this study were to evaluate the prognostic ability of the neoadjuvant rectal (NAR) score and to develop and validate a nomogram based on the NAR for patients with locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiotherapy (nCRT).MethodsIn total, 307 patients, including 230 patients from the primary cohort and 77 from the external cohort, were enrolled across the two centers. The associations of the NAR score with the tumor response, tumor control, and clinicopathological parameters were analyzed. Survival analysis was performed in the primary and external cohorts using Kaplan‒Meier curves. Univariate and multivariate analyses were performed to evaluate the prognostic factors. The NAR‐based nomogram was developed in the primary cohort and validated in the external cohort using the concordance index (C‐index), calibration plots, and decision curve analyses (DCAs).ResultsKaplan‒Meier survival analysis revealed that the disease‐free survival (DFS) and overall survival (OS) of the NAR > 16 group were significantly lower than those of the NAR ≤ 16 group (p < 0.001). Multivariate Cox regression analysis identified the NAR score as an independent prognostic factor for both DFS (hazard ratio [HR] = 2.484, 95% confidence interval [CI]: 1.159−5.323, p = 0.019) and OS (HR = 4.633, 95% CI: 1.076−19.941, p = 0.04). Calibration plots and DCAs showed that NAR‐based nomograms for DFS and OS were consistent and useful in clinical practice. Moreover, the C‐indexes of the NAR‐based nomograms were better than those of the other variables in both the primary and external cohorts.ConclusionOur study validates the prognostic role of the NAR score for DFS and OS. The NAR‐based nomogram for OS could accurately predict the outcome of LARC patients by stratifying the risk score accordingly.

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Section: Discussionmentioning

confidence: 97%

Prognostic ability of the neoadjuvant rectal (NAR) score in long‐course concurrent chemoradiotherapy for patients with locally advanced rectal cancer: a retrospective cohort study

Peng

et al. 2023

Malignancy Spectrum

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The Role of an Artificial Intelligence Method of Improving the Diagnosis of Neoplasms by Colonoscopy

Vilkoite

Tolmanis

Meri³

et al. 2023

Diagnostics

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Background: Colorectal cancer (CRC) is the third most common cancer worldwide. Colonoscopy is the gold standard examination that reduces the morbidity and mortality of CRC. Artificial intelligence (AI) could be useful in reducing the errors of the specialist and in drawing attention to the suspicious area. Methods: A prospective single-center randomized controlled study was conducted in an outpatient endoscopy unit with the aim of evaluating the usefulness of AI-assisted colonoscopy in PDR and ADR during the day time. It is important to understand how already available CADe systems improve the detection of polyps and adenomas in order to make a decision about their routine use in practice. In the period from October 2021 to February 2022, 400 examinations (patients) were included in the study. One hundred and ninety-four patients were examined using the ENDO-AID CADe artificial intelligence device (study group), and 206 patients were examined without the artificial intelligence (control group). Results: None of the analyzed indicators (PDR and ADR during morning and afternoon colonoscopies) showed differences between the study and control groups. There was an increase in PDR during afternoon colonoscopies, as well as ADR during morning and afternoon colonoscopies. Conclusions: Based on our results, the use of AI systems in colonoscopies is recommended, especially in circumstances of an increase of examinations. Additional studies with larger groups of patients at night are needed to confirm the already available data.

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Phase I Study of Lenvatinib and Capecitabine with External Radiation Therapy in Locally Advanced Rectal Adenocarcinoma

Cited by 2 publications

References 20 publications

Prognostic ability of the neoadjuvant rectal (NAR) score in long‐course concurrent chemoradiotherapy for patients with locally advanced rectal cancer: a retrospective cohort study

Prognostic ability of the neoadjuvant rectal (NAR) score in long‐course concurrent chemoradiotherapy for patients with locally advanced rectal cancer: a retrospective cohort study

The Role of an Artificial Intelligence Method of Improving the Diagnosis of Neoplasms by Colonoscopy

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