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

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

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.

___

  • [1] Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer Statistics, 2021. CA Cancer J Clin. 2021;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; 2009:45-46.
  • [3] Siegel RL, Miller KD, Goding Sauer A, et al. Colorectal cancer statistics, 2020. CA Cancer J Clin. 2020;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;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;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;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;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;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;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;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;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;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 Immunotherapy. Clin Cancer Res. 2016;22(16):4057-4066. https://doi.org/10.1158/1078-0432.CCR-15-2879
  • [14] Marisa L, de Reynies A, Duval A, et al. Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value. PLoS Med. 2013;10(5):e1001453. https://doi.org/10.1371/ journal.pmed.1001453
  • [15] Smith JJ, Deane NG, Wu F, et al. Experimentally derived metastasis gene expression profile predicts recurrence and death in patients with colon cancer. Gastroenterology. 2010;138(3):958-968. https://doi.org/10.1053/j. gastro.2009.11.005
  • [16] Jorissen RN, Gibbs P, Christie M, et al. Metastasis- Associated Gene Expression Changes Predict Poor Outcomes in Patients with Dukes Stage B and C Colorectal Cancer. Clin Cancer Res. 2009;15(24):7642-7651. https:// doi.org/10.1158/1078-0432.CCR-09-1431
  • [17] Gautier L, Cope L, Bolstad BM, Irizarry RA. affy-- analysis of Affymetrix GeneChip data at the probe level. Bioinformatics. 2004;20(3):307-315. https://doi. org/10.1093/bioinformatics/btg405
  • [18] Yoshihara K, Shahmoradgoli M, Martinez E, et al. Inferring tumour purity and stromal and immune cell admixture from expression data. Nature Communications. 2013;4:2612. https://doi.org/10.1038/ncomms3612
  • [19] ggplot2: Elegant Graphics for Data Analysis [computer program]. New York: Springer-Verlag; 2016.
  • [20] R: A language and environment for statistical computing [computer program]. Vienna, Austria: R Foundation for Statistical Computing; 2019.
  • [21] Son GM, Kwon MS, Shin DH, Shin N, Ryu D, Kang CD. Comparisons of cancer-associated fibroblasts in the intratumoral stroma and invasive front in colorectal cancer. Medicine (Baltimore). 2019;98(18):e15164. https:// doi.org/10.1097/MD.0000000000015164
  • [22] Liu T, Han C, Wang S, et al. Cancer-associated fibroblasts: an emerging target of anti-cancer immunotherapy. J Hematol Oncol. 2019;12(1):86. https://doi.org/10.1186/ s13045-019-0770-1
  • [23] Becht E, Giraldo NA, Lacroix L, et al. Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression. Genome Biol. 2016;17(1):218. https://doi.org/10.1186/s13059-016- 1070-5
  • [24] Guinney J, Dienstmann R, Wang X, et al. The consensus molecular subtypes of colorectal cancer. Nat Med. 2015;21(11):1350-1356. https://doi.org/10.1038/nm.3967
  • [25] Kalluri R, Zeisberg M. Fibroblasts in cancer. Nat Rev Cancer. 2006;6(5):392-401. https://doi.org/10.1038/nrc1877
  • [26] Kim BG, An HJ, Kang S, et al. Laminin-332-rich tumor microenvironment for tumor invasion in the interface zone of breast cancer. Am J Pathol. 2011;178(1):373-381. https://doi.org/10.1016/j.ajpath.2010.11.028
  • [27] Ruffell B, Affara NI, Cottone L, et al. Cathepsin C is a tissuespecific regulator of squamous carcinogenesis. Genes Dev. 2013;27(19):2086-2098. https://doi.org/10.1101/ gad.224899.113
  • [28] Albrengues J, Bourget I, Pons C, et al. LIF mediates proinvasive activation of stromal fibroblasts in cancer. Cell Rep. 2014;7(5):1664-1678. https://doi.org/10.1016/j. celrep.2014.04.036
Acta Medica-Cover
  • ISSN: 2147-9488
  • Yayın Aralığı: Yılda 4 Sayı
  • Başlangıç: 2012
  • Yayıncı: HACETTEPE ÜNİVERSİTESİ
Sayıdaki Diğer Makaleler

Persistent Extensive Microcalcifications After Neoadjuvant Chemotherapy: Benign or Malignant?

Gamze DURHAN

Anesthesia Management in An Adult Patient with Desbuquois Syndrome

Murat TÜMER, Hazar KÖKTEN, Aysun ANKAY YILBAŞ, Fatma SARICAOĞLU

Enzymatic Digestion of Fresh-Frozen Human Cornea After Riboflavin/Ultraviolet-A Collagen Crosslinking

Ayşegül FIRAT, Züleyha YALNIZ AKKAYA, Özlem DİKMETAŞ, Hatice Mürvet HAYRAN

Can Syndecan-1 Be Used As A Biomarker In Alzheimer’s Disease?

Rana Tuna DOĞRUL, Cagatay ÇAVUŞOĞLU, Gozde Sengul AYÇİÇEK, Cemile ÖZSÜREKÇİ, Hatice ÇALIŞKAN, Hacer DOĞAN VARAN, Zeliha GÜNNÜR DİKMEN, Mustafa CANKURTARAN, Burcu Balam DOĞU

Biliary Tract Disorders in Patients with Acromegaly: Single-centre Experience

Süleyman Nahit ŞENDUR, Seda Hanife OĞUZ

Monitoring Serum Lipid Profile and Liver Transaminase Levels During Isotretinoin Therapy

Sibel ERSOY EVANS, Gonca ELÇİN, Duygu GÜLSEREN, Ecem BOSTAN, Neslihan AKDOĞAN, Başak YALICI ARMAĞAN, Sibel DOĞAN, Ayşen KARADUMAN

The Accuracy of Provocative Tests on Diabetic Patients with Suspected Carpal Tunnel Syndome and Comparison with Nondiabetics

Çiğdem Tura BAHADIR, Sinan BAHADIR

From Thesis to Publication - Analysis of 2580 theses in the field of Anesthesiology and Reanimation

İlke KÜPELİ, Merve YAZICI KARA, Ayşe KAYHAN

A Review of Glutamate and Its Receptors: Their Roles in Brain Physiology and Pathology

Sevgi UĞUR MUTLUAY, Hülya KARATAŞ

Evaluation of Patients with Diarrhea Applying to the Outpatient Gastroenterology Clinic of Research Hospital

Çağlayan Merve AYAZ, Batuhan BAŞPINAR, Ertuğrul KAYAÇETİN