Literature DB >> 33478082

Clinical Significance of Preoperative Inflammatory Markers in Prediction of Prognosis in Node-Negative Colon Cancer: Correlation between Neutrophil-to-Lymphocyte Ratio and Poorly Differentiated Clusters.

Giulia Turri1, Valeria Barresi2, Alessandro Valdegamberi1, Gabriele Gecchele1, Cristian Conti1, Serena Ammendola2, Alfredo Guglielmi1, Aldo Scarpa2, Corrado Pedrazzani1.   

Abstract

Although stage I and II colon cancers (CC) generally show a very good prognosis, a small proportion of these patients dies from recurrent disease. The identification of high-risk patients, who may benefit from adjuvant chemotherapy, becomes therefore essential. We retrospectively evaluated 107 cases of stage I (n = 28, 26.2%) and II (n = 79, 73.8%) CC for correlations among preoperative inflammatory markers, histopathological factors and long-term prognosis. A neutrophil-to-lymphocyte ratio greater than 3 (H-NLR) and a platelet-to-lymphocyte ratio greater than 150 (H-PLR) were significantly associated with the presence of poorly differentiated clusters (PDC) (p = 0.007 and p = 0.039, respectively). In addition, H-NLR and PDC proved to be significant and independent survival prognosticators for overall survival (OS; p = 0.007 and p < 0.001, respectively), while PDC was the only significant prognostic factor for cancer-specific survival (CSS; p < 0.001,). Finally, the combination of H-NLR and PDC allowed an optimal stratification of OS and CSS in our cohort, suggesting a potential role in clinical practice for the identification of high-risk patients with stage I and II CC.

Entities:  

Keywords:  colon cancer; histopathological markers; immune system; inflammatory markers; poorly differentiated clusters; prognostic factors

Year:  2021        PMID: 33478082      PMCID: PMC7835814          DOI: 10.3390/biomedicines9010094

Source DB:  PubMed          Journal:  Biomedicines        ISSN: 2227-9059


  45 in total

1.  Poorly Differentiated Clusters Predict Colon Cancer Recurrence: An In-Depth Comparative Analysis of Invasive-Front Prognostic Markers.

Authors:  Tsuyoshi Konishi; Yoshifumi Shimada; Lik Hang Lee; Marcela S Cavalcanti; Meier Hsu; Jesse Joshua Smith; Garrett M Nash; Larissa K Temple; José G Guillem; Philip B Paty; Julio Garcia-Aguilar; Efsevia Vakiani; Mithat Gonen; Jinru Shia; Martin R Weiser
Journal:  Am J Surg Pathol       Date:  2018-06       Impact factor: 6.394

Review 2.  Histological grading in colorectal cancer: new insights and perspectives.

Authors:  Valeria Barresi; Luca Reggiani Bonetti; Antonio Ieni; Rosario Alberto Caruso; Giovanni Tuccari
Journal:  Histol Histopathol       Date:  2015-05-25       Impact factor: 2.303

3.  Prognostic and predictive role of neutrophil/lymphocytes ratio in metastatic colorectal cancer: a retrospective analysis of the TRIBE study by GONO.

Authors:  E Dell'Aquila; C Cremolini; T Zeppola; S Lonardi; F Bergamo; G Masi; M Stellato; F Marmorino; M Schirripa; F Urbano; M Ronzoni; G Tomasello; A Zaniboni; P Racca; A Buonadonna; G Allegrini; E Fea; S Di Donato; S Chiara; G Tonini; D Tomcikova; L Boni; A Falcone; D Santini
Journal:  Ann Oncol       Date:  2018-04-01       Impact factor: 32.976

4.  The presence of poorly differentiated clusters predicts survival in stage II colorectal cancer.

Authors:  Serena Ammendola; Giulia Turri; Irene Marconi; Giulia Burato; Sara Pecori; Anna Tomezzoli; Cristian Conti; Corrado Pedrazzani; Valeria Barresi
Journal:  Virchows Arch       Date:  2020-06-23       Impact factor: 4.064

5.  Prognostic significance of neutrophil-to lymphocyte ratio and platelet-to lymphocyte ratio in older patients with metastatic colorectal cancer.

Authors:  Marlid Cruz-Ramos; Laura Del Puerto-Nevado; Binbin Zheng; Rafael López-Bajo; Arancha Cebrian; María Rodríguez-Remirez; Laura García-García; Sonia Solanes-Casado; Jesús García-Foncillas
Journal:  J Geriatr Oncol       Date:  2018-10-13       Impact factor: 3.599

6.  Nomograms for predicting prognostic value of inflammatory biomarkers in colorectal cancer patients after radical resection.

Authors:  Yaqi Li; Huixun Jia; Wencheng Yu; Ye Xu; Xinxiang Li; Qingguo Li; Sanjun Cai
Journal:  Int J Cancer       Date:  2016-03-18       Impact factor: 7.396

Review 7.  Concise update on colorectal cancer epidemiology.

Authors:  Camilla Mattiuzzi; Fabian Sanchis-Gomar; Giuseppe Lippi
Journal:  Ann Transl Med       Date:  2019-11

Review 8.  An Elevated Platelet-to-Lymphocyte Ratio Predicts Poor Prognosis and Clinicopathological Characteristics in Patients with Colorectal Cancer: A Meta-Analysis.

Authors:  Xuan-Zhang Huang; Wen-Jun Chen; Xi Zhang; Cong-Cong Wu; Chao-Ying Zhang; Shuang-Shuang Sun; Jian Wu
Journal:  Dis Markers       Date:  2017-04-26       Impact factor: 3.434

9.  Effects of microsatellite instability on recurrence patterns and outcomes in colorectal cancers.

Authors:  Chang Gon Kim; Joong Bae Ahn; Minkyu Jung; Seung Hoon Beom; Chan Kim; Joo Hoon Kim; Su Jin Heo; Hyung Soon Park; Jee Hung Kim; Nam Kyu Kim; Byung Soh Min; Hoguen Kim; Woong Sub Koom; Sang Joon Shin
Journal:  Br J Cancer       Date:  2016-05-26       Impact factor: 7.640

10.  The elevated NLR, PLR and PLT may predict the prognosis of patients with colorectal cancer: a systematic review and meta-analysis.

Authors:  Jie Zhang; Hong-Ying Zhang; Jia Li; Xin-Yu Shao; Chun-Xia Zhang
Journal:  Oncotarget       Date:  2017-06-19
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  4 in total

1.  Distribution and reference interval establishment of neutral-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) in Chinese healthy adults.

Authors:  Junjun Wang; Fan Zhang; Feng Jiang; Lijuan Hu; Jian Chen; Yumin Wang
Journal:  J Clin Lab Anal       Date:  2021-08-13       Impact factor: 3.124

Review 2.  Which patients are prone to suffer liver metastasis? A review of risk factors of metachronous liver metastasis of colorectal cancer.

Authors:  Mengdi Hao; Kun Wang; Yuhan Ding; Huimin Li; Yin Liu; Lei Ding
Journal:  Eur J Med Res       Date:  2022-07-25       Impact factor: 4.981

3.  Abilities of Pre-Treatment Inflammation Ratios as Classification or Prediction Models for Patients with Colorectal Cancer.

Authors:  Andra Ciocan; Răzvan A Ciocan; Nadim Al Hajjar; Claudia D Gherman; Sorana D Bolboacă
Journal:  Diagnostics (Basel)       Date:  2021-03-21

4.  Colorectal Cancer: From Pathophysiology to Novel Therapeutic Approaches.

Authors:  Valeria Barresi
Journal:  Biomedicines       Date:  2021-12-08
  4 in total

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