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Dergiler / Acta Medica / 2022 / Cilt: 53 - Sayı: 2

Evaluation of Prognostic Markers in Cancer-associated Fibroblast Based Sub-groups of Colorectal Cancer

Seçil DEMİRKOL CANLI
Sayfa
133–143
Yayın Tarihi
2022-10-12
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Therefore testing potential biomarkers within such biological sub-groups may contribute to the development of more specific gene panels.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Objective: Stromal cells in the tumor microenvironment (TME) are among the main players of carcinogenesis.
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Temel Bulgular & Veri:This study aimed to understand the impact of a CAF-rich and a CAF-poor TME on the performance of the prognostic markers in Coloprint.
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Sonuç & Katkı:Therefore testing potential biomarkers within such biological sub-groups may contribute to the development of more specific gene panels.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

Objective: Stromal cells in the tumor microenvironment (TME) are among the main players of carcinogenesis. Cancer-associated fibroblasts (CAFs) residing in tumor stroma are involved in cancer progression through various mechanisms, supporting tumor growth, cellular motility and invasiveness. The discovery of markers predicting recurrence risk in colorectal cancer (CRC) have led to the generation of several gene panels, including Coloprint. This study aimed to understand the impact of a CAF-rich and a CAF-poor TME on the performance of the prognostic markers in Coloprint. Materials and Methods: Publicly available transcriptomic data of CRC tumors were used to generate tumor sub-groups based on CAF specific gene expression. Subsequently, prognostic relationships of Coloprint genes were assessed within these subgroups. Results and Conclusion: Our data revealed that prognostic performance of Coloprint genes differed dramatically between CAF stratified subgroups compared to non-stratified analysis. We have found that multiple genes lost their prognostic significance and several genes showed an association in the opposite direction. 9 out of 17 genes were differentially expressed in at least one of the CAF-specific subgroups and majority of the genes predicted prognosis independent of CAF levels. These findings showed that the performance of the prognostic markers can vary significantly among CAF-poor and CAF-rich groups. Therefore testing potential biomarkers within such biological sub-groups may contribute to the development of more specific gene panels.

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Bu Makaleye Atıf Yap

CANLI, S. D. (2022). Evaluation of Prognostic Markers in Cancer-associated Fibroblast Based Sub-groups of Colorectal Cancer. Acta Medica, Cilt: 53 - Sayı: 2, 133–143. https://ajindex.com/articles/427518

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Kaynakça (13)

  1. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer Statistics, 2021. CA Cancer J Clin. 2021
  2. 71(1):7-33. https://doi. org/10.3322/caac.21654 [2] Akarsu N. AN, Aksoy M., Arslanhan S., Atabey E., Güllü İ., et al. Türkiye’de kanser kontrolü. In: Tuncer A, ed. Ankara: T.C. Sağlık Bakanlığı Kanserle Savaş Dairesi Başkanlığı
  3. Siegel RL, Miller KD, Goding Sauer A, et al. Colorectal cancer statistics, 2020. CA Cancer J Clin. 2020
  4. 70(3):145- 164. https://doi.org/10.3322/caac.21601 [4] Benson AB, 3rd, Schrag D, Somerfield MR, et al. American Society of Clinical Oncology recommendations on adjuvant chemotherapy for stage II colon cancer. J Clin Oncol. 2004
  5. 22(16):3408-3419. https://doi.org/10.1200/ JCO.2004.05.063 [5] Salazar R, Roepman P, Capella G, et al. Gene expression signature to improve prognosis prediction of stage II and III colorectal cancer. J Clin Oncol. 2011
  6. 29(1):17-24. https:// doi.org/10.1200/JCO.2010.30.1077 [6] Liotta LA, Kohn EC. The microenvironment of the tumourhost interface. Nature. 2001
  7. 411(6835):375-379. https:// doi.org/10.1038/35077241 [7] Mueller MM, Fusenig NE. Friends or foes - bipolar effects of the tumour stroma in cancer. Nat Rev Cancer. 2004
  8. 4(11):839-849. https://doi.org/10.1038/nrc1477 [8] Bremnes RM, Donnem T, Al-Saad S, et al. The role of tumor stroma in cancer progression and prognosis: emphasis on carcinoma-associated fibroblasts and non-small cell lung cancer. J Thorac Oncol. 2011
  9. 6(1):209-217. https://doi. org/10.1097/JTO.0b013e3181f8a1bd [9] Kessenbrock K, Plaks V, Werb Z. Matrix metalloproteinases: regulators of the tumor microenvironment. Cell. 2010
  10. 141(1):52-67. https://doi.org/10.1016/j. cell.2010.03.015 [10] Boire A, Covic L, Agarwal A, Jacques S, Sherifi S, Kuliopulos A. PAR1 is a matrix metalloprotease-1 receptor that promotes invasion and tumorigenesis of breast cancer cells. Cell. 2005
  11. 120(3):303-313. https://doi.org/10.1016/j. cell.2004.12.018 [11] Isella C, Terrasi A, Bellomo SE, et al. Stromal contribution to the colorectal cancer transcriptome. Nat Genet. 2015
  12. 47(4):312-319. https://doi.org/10.1038/ng.3224 [12] Ko YC, Lai TY, Hsu SC, et al. Index of Cancer-Associated Fibroblasts Is Superior to the Epithelial-Mesenchymal Transition Score in Prognosis Prediction. Cancers (Basel). 2020
  13. 12(7). https://doi.org/10.3390/cancers12071718 [13] Becht E, de Reynies A, Giraldo NA, et al. Immune and Stromal Classification of Colorectal Cancer Is Associated with Molecular Subtypes and Relevant for Precision Imm