Necrosis score as a prognostic factor in stage I–III colorectal cancer: a retrospective multicenter study

Author:

Ye Huifen,Wang Yiting,Yao Su,Liu Zaiyi,Liang Changhong,Zhu Yaxi,Cui Yanfen,Zhao Ke

Abstract

Abstract Background Tumor necrosis results from failure to meet the requirement for rapid proliferation of tumor, related to unfavorable prognosis in colorectal cancer (CRC). However, previous studies used traditional microscopes to evaluate necrosis on slides, lacking a simultaneous phase and panoramic view for assessment. Therefore, we proposed a whole-slide images (WSIs)-based method to develop a necrosis score and validated its prognostic value in multicenter cohorts. Methods Necrosis score was defined as the proportion of necrosis in the tumor area, semi-quantitatively classified into 3-level score groups by the cut-off of 10% and 30% on HE-stained WSIs. 768 patients from two centers were enrolled in this study, divided into a discovery (N = 445) and a validation (N = 323) cohort. The prognostic value of necrosis score was evaluated by Kaplan–Meier curves and the Cox model. Result Necrosis score was associated with overall survival, with hazard ratio for high vs. low in discovery and validation cohorts being 2.62 (95% confidence interval 1.59–4.32) and 2.51 (1.39–4.52), respectively. The 3-year disease free survival rates of necrosis-low, middle, and high were 83.6%, 80.2%, and 59.8% in discovery cohort, and 86.5%, 84.2%, and 66.5% in validation cohort. In necrosis middle plus high subgroup, there was a trend but no significant difference in overall survival between surgery alone and adjuvant chemotherapy group in stage II CRC (P = .075). Conclusion As a stable prognostic factor, high-level necrosis evaluated by the proposed method on WSIs was associated with unfavorable outcomes. Additionally, adjuvant chemotherapy provide survival benefits for patients with high necrosis in stage II CRC.

Funder

the National Science Foundation for Young Scientists of China

High-level Hospital Construction Project

the National Key R&D Program of China

Regional Innovation and Development Joint Fund of National Natural Science Foundation of China

Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application

National Natural Science Foundation of China

Project Funded by China Postdoctoral Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Endocrine and Autonomic Systems,Endocrinology,Oncology,Endocrinology, Diabetes and Metabolism

Reference41 articles.

1. Khan K, Rata M, Cunningham D, Koh DM, Tunariu N, Hahne JC, Vlachogiannis G, Hedayat S, Marchetti S, Lampis A, Damavandi MD, Lote H, Rana I, Williams A, Eccles SA, Fontana E, Collins D, Eltahir Z, Rao S, Watkins D, Starling N, Thomas J, Kalaitzaki E, Fotiadis N, Begum R, Bali M, Rugge M, Temple E, Fassan M, Chau I, Braconi C, Valeri N. Functional imaging and circulating biomarkers of response to regorafenib in treatment-refractory metastatic colorectal cancer patients in a prospective phase II study. Gut. 2018;67(8):1484–92.

2. Patel NV, Ghaleb AM, Nandan MO, Yang VW. Expression of the tumor suppressor Krüppel-like factor 4 as a prognostic predictor for colon cancer, Cancer epidemiology, biomarkers & prevention: a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive. Oncology. 2010;19(10):2631–8.

3. Zhao K, Li Z, Yao S, Wang Y, Wu X, Xu Z, Wu L, Huang Y, Liang C, Liu Z. Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer. EBioMedicine. 2020;61: 103054.

4. Zhao M, Yao S, Li Z, Wu L, Xu Z, Pan X, Lin H, Xu Y, Yang S, Zhang S, Li Y, Zhao K, Liang C, Liu Z. The Crohn’s-like lymphoid reaction density: a new artificial intelligence quantified prognostic immune index in colon cancer. Cancer Immunol Immunothera CII. 2022;71(5):1221–31.

5. Yee PP, Li W. Tumor necrosis: a synergistic consequence of metabolic stress and inflammation. BioEssays News Rev Mol Cell Dev Biol. 2021;43(7):e2100029.

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