Literature DB >> 28621318

Natural killer-like signature observed post therapy in locally advanced rectal cancer is a determinant of pathological response and improved survival.

Matthew Alderdice1, Philip D Dunne2, Aidan J Cole2,3, Paul G O'Reilly2, Darragh G McArt1, Vicky Bingham1, Marc-Aurel Fuchs1, Stephen McQuaid1, Maurice B Loughrey2,4, Graeme I Murray5, Leslie M Samuel6, Mark Lawler2, Richard H Wilson2,3, Manuel Salto-Tellez1,2,4, Vicky M Coyle2,3.   

Abstract

Around 12-15% of patients with locally advanced rectal cancer undergo a pathologically complete response (tumor regression grade 4) to long-course preoperative chemoradiotherapy; the remainder exhibit a spectrum of tumor regression (tumor regression grade 1-3). Understanding therapy-related transcriptional alterations may enable better prediction of response as measured by progression-free and overall survival, in addition to aiding the development of improved strategies based on the underlying biology of the disease. To this end, we performed high-throughput gene expression profiling in 40 pairs of formalin-fixed paraffin-embedded rectal cancer biopsies and matched resections following long-course preoperative chemoradiotherapy (discovery cohort). Differential gene expression analysis was performed contrasting tumor regression grades in resections. Enumeration of the tumor microenvironment cell population was undertaken using in silico analysis of the transcriptional data, and real-time PCR validation of NCR1 undertaken. Immunohistochemistry and survival analysis was used to measure CD56+ cell populations in an independent cohort (n=150). Gene expression traits observed following long-course preoperative chemoradiotherapy in the discovery cohort suggested an increased abundance of natural killer cells in tumors that displayed a clinical response to CRT in a tumor regression grade-dependent manner. CD56+ natural killer-cell populations were measured by immunohistochemistry and found to be significantly higher in tumor regression grade 3 patients compared with tumor regression grade 1-2 in the validation cohort. Furthermore, it was observed that patients positive for CD56 cells after therapy had a better overall survival (HR=0.282, 95% CI=0.109-0.729, χ2=7.854, P=0.005). In conclusion, we have identified a novel post-therapeutic natural killer-like transcription signature in patients responding to long-course preoperative chemoradiotherapy. Furthermore, patients with a higher abundance of CD56-positive natural killer cells post long-course preoperative chemoradiotherapy had better overall survival. Therefore, harnessing a natural killer-like response after therapy may improve outcomes for locally advanced rectal cancer patients. Finally, we hypothesize that future assessment of this natural killer-like response in on-treatment biopsy material may inform clinical decision-making for treatment duration.

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Year:  2017        PMID: 28621318     DOI: 10.1038/modpathol.2017.47

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  38 in total

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Authors:  Michael Wang; Tom Martin; William Bensinger; Melissa Alsina; David S Siegel; Edward Kavalerchik; Mei Huang; Robert Z Orlowski; Ruben Niesvizky
Journal:  Blood       Date:  2013-09-06       Impact factor: 22.113

2.  The expression and prognostic significance of bcl-2-associated transcription factor 1 in rectal cancer following neoadjuvant therapy.

Authors:  Gordon T Brown; Beatriz Cash; Ayham Alnabulsi; Leslie M Samuel; Graeme I Murray
Journal:  Histopathology       Date:  2015-09-17       Impact factor: 5.087

3.  Prognostic significance of tumor regression after preoperative chemoradiotherapy for rectal cancer.

Authors:  Claus Rödel; Peter Martus; Thomas Papadoupolos; Laszlo Füzesi; Martin Klimpfinger; Rainer Fietkau; Torsten Liersch; Werner Hohenberger; Rudolf Raab; Rolf Sauer; Christian Wittekind
Journal:  J Clin Oncol       Date:  2005-10-24       Impact factor: 44.544

4.  Natural killer cells infiltrating colorectal cancer and MHC class I expression.

Authors:  M H Sandel; F M Speetjens; A G Menon; P A Albertsson; P H Basse; M Hokland; J F Nagelkerke; R A E M Tollenaar; C J H van de Velde; P J K Kuppen
Journal:  Mol Immunol       Date:  2005-02       Impact factor: 4.407

5.  Natural killer cells are scarce in colorectal carcinoma tissue despite high levels of chemokines and cytokines.

Authors:  Niels Halama; Monika Braun; Christoph Kahlert; Anna Spille; Christian Quack; Nuh Rahbari; Moritz Koch; Jürgen Weitz; Matthias Kloor; Inka Zoernig; Peter Schirmacher; Karsten Brand; Niels Grabe; Christine S Falk
Journal:  Clin Cancer Res       Date:  2011-02-15       Impact factor: 12.531

6.  Radiotherapy of human sarcoma promotes an intratumoral immune effector signature.

Authors:  Anu Sharma; Beata Bode; Gabriela Studer; Holger Moch; Michal Okoniewski; Alexander Knuth; Lotta von Boehmer; Maries van den Broek
Journal:  Clin Cancer Res       Date:  2013-07-16       Impact factor: 12.531

7.  Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression.

Authors:  Etienne Becht; Nicolas A Giraldo; Laetitia Lacroix; Bénédicte Buttard; Nabila Elarouci; Florent Petitprez; Janick Selves; Pierre Laurent-Puig; Catherine Sautès-Fridman; Wolf H Fridman; Aurélien de Reyniès
Journal:  Genome Biol       Date:  2016-10-20       Impact factor: 13.583

8.  An integrative approach for the identification of prognostic and predictive biomarkers in rectal cancer.

Authors:  Marco Agostini; Klaus-Peter Janssen; Il-Jin Kim; Edoardo D'Angelo; Silvia Pizzini; Andrea Zangrando; Carlo Zanon; Chiara Pastrello; Isacco Maretto; Maura Digito; Chiara Bedin; Igor Jurisica; Flavio Rizzolio; Antonio Giordano; Stefania Bortoluzzi; Donato Nitti; Salvatore Pucciarelli
Journal:  Oncotarget       Date:  2015-10-20

9.  Comprehensive molecular pathology analysis of small bowel adenocarcinoma reveals novel targets with potential for clinical utility.

Authors:  Muhammad A Alvi; Darragh G McArt; Paul Kelly; Marc-Aurel Fuchs; Matthew Alderdice; Clare M McCabe; Victoria Bingham; Claire McGready; Shailesh Tripathi; Frank Emmert-Streib; Maurice B Loughrey; Stephen McQuaid; Perry Maxwell; Peter W Hamilton; Richard Turkington; Jacqueline A James; Richard H Wilson; Manuel Salto-Tellez
Journal:  Oncotarget       Date:  2015-08-28

Review 10.  Where do MAIT cells fit in the family of unconventional T cells?

Authors:  Laurent Gapin
Journal:  PLoS Biol       Date:  2009-03-31       Impact factor: 8.029

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1.  Prognostic Significance of Tumor-Infiltrating Natural Killer Cells in Solid Tumors: A Systematic Review and Meta-Analysis.

Authors:  Shuo Zhang; Weijian Liu; Binwu Hu; Peng Wang; Xiao Lv; Songfeng Chen; Zengwu Shao
Journal:  Front Immunol       Date:  2020-07-02       Impact factor: 7.561

2.  Development of a 15-gene signature for predicting prognosis in advanced colorectal cancer.

Authors:  Xiao Wang; Tianzuo Li
Journal:  Bioengineered       Date:  2020-12       Impact factor: 3.269

3.  Construction and characterization of rectal cancer-related lncRNA-mRNA ceRNA network reveals prognostic biomarkers in rectal cancer.

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Journal:  IET Syst Biol       Date:  2021-10-06       Impact factor: 1.615

4.  Natural killer cell-related gene signature predicts malignancy of glioma and the survival of patients.

Authors:  Chenglong Li; Fangkun Liu; Lunquan Sun; Zhixiong Liu; Yu Zeng
Journal:  BMC Cancer       Date:  2022-03-02       Impact factor: 4.430

5.  Dynamic metabolic change of cancer cells induced by natural killer cells at the single-cell level studied by label-free mass cytometry.

Authors:  Zizheng Shen; Hansen Zhao; Huan Yao; Xingyu Pan; Jinlei Yang; Sichun Zhang; Guojun Han; Xinrong Zhang
Journal:  Chem Sci       Date:  2022-01-03       Impact factor: 9.825

6.  Prognostic significance of natural killer cell-associated markers in gastric cancer: quantitative analysis using multiplex immunohistochemistry.

Authors:  Hee Young Na; Yujun Park; Soo Kyung Nam; Jiwon Koh; Yoonjin Kwak; Sang-Hoon Ahn; Do Joong Park; Hyung-Ho Kim; Kyu Sang Lee; Hye Seung Lee
Journal:  J Transl Med       Date:  2021-12-24       Impact factor: 5.531

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