Literature DB >> 25340012

Meta-analysis and metagenes: CXCL-13-driven signature as a robust marker of intratumoral immune response and predictor of breast cancer chemotherapeutic outcome.

Davide Bedognetti1, Ena Wang2, Francesco M Marincola2.   

Abstract

Entities:  

Keywords:  CXCL-13; biomarkers; breast cancer; gene signature; gene-expression; immunotherapy; melanoma; neoadjuvant chemotherapy

Year:  2014        PMID: 25340012      PMCID: PMC4203509          DOI: 10.4161/onci.28727

Source DB:  PubMed          Journal:  Oncoimmunology        ISSN: 2162-4011            Impact factor:   8.110


× No keyword cloud information.
Integrative gene-expression analysis applied to the study of human samples has defined shared themes invariably associated with immune-mediated tissue destruction. Such themes define an in situ T helper 1 (Th-1)-like immune response characterized by the coordinate expression of interferon-ү (IFN-ү)/interferon regulatory factor-1 (IRF-1)-induced transcripts, mRNA’s encoding CXCR3/CCR5 chemokine ligands (i.e., CXCL9–11, CCL3–5), and those encoding immune-effector functional molecules (e.g., granzymes, granulysin [GNLY], and perforin [PRF1]). We refer to these collectively as the immunologic constant of rejection (ICR) pathways.- Their upregulation has been observed in a plethora of different immune-related conditions, spanning from allograft rejection to flares of autoimmunity.- In the context of cancer immunotherapy, an efficient induction of these molecular pathways early after treatment correlates with achievement of favorable clinical response later., Moreover, patients bearing metastatic tumors that display this polarized immunophenotype respond better to various forms of immunity-related manipulations, including interleukin 2 (IL-2) treatment, adoptive-therapy, vaccines, and anti-cytotoxic T lymphocyte-associated protein 4 (CTLA-4) monoclonal antibody (mAb). In addition, the presence of largely overlapping gene-signatures has been convincingly associated with favorable prognosis of melanoma, colon, breast, and ovarian cancers, as recently reviewed elsewhere. Observations from immune-checkpoint inhibitor trials (e.g., anti-CTLA-4 and anti-programmed cell death 1 [PD-1] mAbs) have also revealed that this inflammatory status is accompanied by the concomitant counteractivation of immunosuppressive mechanisms (i.e., indoleamine-pyrrole 2,3-dioxygenase [IDO] and PD ligand 1 [PD-L1]),, which likely reflect ongoing immune-escape processes. This suppressed immune response could eventually be reverted by the administration of immune checkpoint inhibitors. However, tumors lacking these 2 features are relatively resistant to immunotherapeutic manipulations.-, Because of the pivotal role of the Th-1 like response in mediating tumor rejection, targeted therapy aimed at reprogramming the tumor microenvironment by inducing ICR pathways are the object of effervescent investigations.,, In the meta-analysis recently published in OncoImmunology by Stoll et al., investigators determined whether robust gene-signatures (metagenes) are predictive of beneficial response to neoadjuvant chemotherapy among breast cancer patients. Authors employed a hypothesis-driven approach based on a strong rationale. Rather than testing the expression of the whole transcriptome, they focused on the identification of metagenes (i.e., modules of genes strongly correlated) underlying phenomena conducive to tumor rejection. Gene expression levels evaluated to build metagenes consisted of a wide range of transcripts reflecting intratumoral immune responses, as well as genes induced in response to local stress (i.e., endoplasmic reticulum [ER] stress-, autophagy-, and lysosome-associated transcripts). In fact, as demonstrated by previous works, the induction of ER stress and autophagy by certain chemotherapeutic agents can drive tumor cells toward an immunogenic form of apoptosis (known as immunogenic cell death) conducive to the elicitation local immune response. For each category, metagenes were delineated by exploring The Cancer Genome Atlas breast cancer data set. Their reproducibility was assessed using 6 additional cancer data sets including colorectal, head and neck, and other breast cancer samples. Among these were 3 breast cancer data sets for which information in regards to clinical neoadjuvant chemotherapy response was available that were used to test metagenes predictive capabilities. The reproducibility of stress-related metagenes was found to be generally poor—perhaps suggesting a lack of coordinated and persistent stress-related events in pre-treatment tumor deposits—such that no association between these metagenes and clinical outcome was detected. However, the immune-related metagene driven by the C-X-C motif chemokine ligand, CXCL13 transcript bore the highest reproducibility across data sets and was strongly associated with the achievement of complete pathological response. Genes embraced by the CXCL13 metagenes largely overlap with those associated with favorable cancer prognosis and response to immunotherapy., They include classical ICR genes such as ligands for the chemokine receptors CXCR3 and CCR5 (CXCL9–10, and CCL5 transcripts, respectively), immune-effector genes (e.g., PRF1, granzymes), and Th-1 related genes (IFNG and CD8B). To explain the favorable predictive role of Th-1 like gene signatures in the setting of cancer immunotherapy, it has been proposed that immune-manipulation could restore a naturally occurring, though insufficient, host’s immune response by enhancing its effector functions and, thus, its predictive significance. Similarly, it is tempting to hypothesize that the immunogenic cell death, eventually induced by antineoplastic drugs, requires the presence of an ongoing intratumoral response to exert its immune-adjuvant effect. A number of investigations have reported a correlation between T-cell infiltrates, Th-1 related genes, and achievement of complete response following neoadjuvant chemotherapy in breast cancer patients. By defining the CXCL13-meta gene, Stoll et al. added molecular precision to previous observations., In fact, only recently, has CXCL13 emerged as critical modulator of intratumoral response.- This chemokine, which binds CXCR5, is physiologically highly expressed in the follicles of secondary lymphoid organs, where it can be secreted by follicular dendritic cells and T follicular helper (Tfh) cells. In this context, CXCL13 mediates migration of high-affinity CXCR5+ Tfh cells and B cells into B-cell concentrated areas. While a number of studies have reported the presence of tertiary lymphoid structure in a considerable proportion of cancers, it was only last year that the presence of CXCL13+ Tfh cells were demonstrated in solid tumors. By analyzing breast cancer samples, Gu-Trantien et al. showed that the presence of tumor-infiltrating CXCL13+ Tfh cells, localizing primarily in peritumoral tertiary lymphoid structures, was associated with improved disease outcome. In parallel, the presence of Tfh cells were shown to correlate with abundance of Th1 cells and B cells within the neoplastic bed. Similar conclusions were recently independently reached by Bindea et al. via analysis of colorectal tumor specimens. Interestingly, authors showed that tumor cells also expressed CXCL13 and that genetic deletion of CXCL13 markedly lowers the density of B cells and Tfh cells in invasive margins. It remains, however, to be fully elucidated whether (and how) the genetic makeup of the host, somatic cancer cell genetic or epigenetic aberrations, or environmental factors, such as lifetime exposure to commensale microbiota, may interact to influence the development of a favorable cancer immune phenotype. We believe that assessing these critical questions using integrated high-throughput approaches will allow the development of innovative targeted therapy that may dramatically impact therapeutic outcome in the near future.
  22 in total

1.  Gene modules and response to neoadjuvant chemotherapy in breast cancer subtypes: a pooled analysis.

Authors:  Michail Ignatiadis; Sandeep K Singhal; Christine Desmedt; Benjamin Haibe-Kains; Carmen Criscitiello; Fabrice Andre; Sherene Loi; Martine Piccart; Stefan Michiels; Christos Sotiriou
Journal:  J Clin Oncol       Date:  2012-04-16       Impact factor: 44.544

2.  Molecular insights on the peripheral and intratumoral effects of systemic high-dose rIL-2 (aldesleukin) administration for the treatment of metastatic melanoma.

Authors:  Geoffrey R Weiss; William W Grosh; Kimberly A Chianese-Bullock; Yingdong Zhao; Hui Liu; Craig L Slingluff; Francesco M Marincola; Ena Wang
Journal:  Clin Cancer Res       Date:  2011-10-05       Impact factor: 12.531

Review 3.  Mechanism of action of conventional and targeted anticancer therapies: reinstating immunosurveillance.

Authors:  Laurence Zitvogel; Lorenzo Galluzzi; Mark J Smyth; Guido Kroemer
Journal:  Immunity       Date:  2013-07-25       Impact factor: 31.745

Review 4.  The continuum of cancer immunosurveillance: prognostic, predictive, and mechanistic signatures.

Authors:  Jérôme Galon; Helen K Angell; Davide Bedognetti; Francesco M Marincola
Journal:  Immunity       Date:  2013-07-25       Impact factor: 31.745

5.  Functionalized carbon nanotubes as immunomodulator systems.

Authors:  Mario Pescatori; Davide Bedognetti; Enrica Venturelli; Cécilia Ménard-Moyon; Camilla Bernardini; Elena Muresu; Andrea Piana; Giorgio Maida; Roberto Manetti; Francesco Sgarrella; Alberto Bianco; Lucia Gemma Delogu
Journal:  Biomaterials       Date:  2013-03-16       Impact factor: 12.479

Review 6.  Non-BRAF-targeted therapy, immunotherapy, and combination therapy for melanoma.

Authors:  Sara Tomei; Ena Wang; Lucia Gemma Delogu; Francesco M Marincola; Davide Bedognetti
Journal:  Expert Opin Biol Ther       Date:  2014-03-13       Impact factor: 4.388

7.  Gene expression profiling in acute allograft rejection: challenging the immunologic constant of rejection hypothesis.

Authors:  Tara L Spivey; Lorenzo Uccellini; Maria Libera Ascierto; Gabriele Zoppoli; Valeria De Giorgi; Lucia Gemma Delogu; Alyson M Engle; Jaime M Thomas; Ena Wang; Francesco M Marincola; Davide Bedognetti
Journal:  J Transl Med       Date:  2011-10-12       Impact factor: 5.531

8.  Trial watch: Chemotherapy with immunogenic cell death inducers.

Authors:  Erika Vacchelli; Lorenzo Galluzzi; Wolf Hervé Fridman; Jerome Galon; Catherine Sautès-Fridman; Eric Tartour; Guido Kroemer
Journal:  Oncoimmunology       Date:  2012-03-01       Impact factor: 8.110

9.  CXCR3/CCR5 pathways in metastatic melanoma patients treated with adoptive therapy and interleukin-2.

Authors:  D Bedognetti; T L Spivey; Y Zhao; L Uccellini; S Tomei; M E Dudley; M L Ascierto; V De Giorgi; Q Liu; L G Delogu; M Sommariva; M R Sertoli; R Simon; E Wang; S A Rosenberg; F M Marincola
Journal:  Br J Cancer       Date:  2013-10-15       Impact factor: 7.640

10.  Immune-related gene signatures predict the outcome of neoadjuvant chemotherapy.

Authors:  Gautier Stoll; David Enot; Bernhard Mlecnik; Jérôme Galon; Laurence Zitvogel; Guido Kroemer
Journal:  Oncoimmunology       Date:  2014-02-27       Impact factor: 8.110

View more
  8 in total

1.  Potential role of CXCR3 in proliferation and invasion of prostate cancer cells.

Authors:  Daqing Shen; Xianxiang Cao
Journal:  Int J Clin Exp Pathol       Date:  2015-07-01

2.  Intratumoral injection of a CpG oligonucleotide reverts resistance to PD-1 blockade by expanding multifunctional CD8+ T cells.

Authors:  Shu Wang; Jose Campos; Marilena Gallotta; Mei Gong; Chad Crain; Edwina Naik; Robert L Coffman; Cristiana Guiducci
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-31       Impact factor: 11.205

Review 3.  Checkpoint Inhibitors and Their Application in Breast Cancer.

Authors:  Davide Bedognetti; Cristina Maccalli; Salha B J Al Bader; Francesco M Marincola; Barbara Seliger
Journal:  Breast Care (Basel)       Date:  2016-04-26       Impact factor: 2.860

4.  CXCL13-producing TFH cells link immune suppression and adaptive memory in human breast cancer.

Authors:  Chunyan Gu-Trantien; Edoardo Migliori; Laurence Buisseret; Alexandre de Wind; Sylvain Brohée; Soizic Garaud; Grégory Noël; Vu Luan Dang Chi; Jean-Nicolas Lodewyckx; Céline Naveaux; Hugues Duvillier; Stanislas Goriely; Denis Larsimont; Karen Willard-Gallo
Journal:  JCI Insight       Date:  2017-06-02

5.  Phenotype and function of CXCR5+CD45RA-CD4+ T cells were altered in HBV-related hepatocellular carcinoma and elevated serum CXCL13 predicted better prognosis.

Authors:  Zhaojun Duan; Jian Gao; Ling Zhang; Hua Liang; Xiangbo Huang; Qiang Xu; Yu Zhang; Tao Shen; Fengmin Lu
Journal:  Oncotarget       Date:  2015-12-29

6.  Evaluation of invasive breast cancer samples using a 12-chemokine gene expression score: correlation with clinical outcomes.

Authors:  Sangeetha Prabhakaran; Victoria T Rizk; Zhenjun Ma; Chia-Ho Cheng; Anders E Berglund; Dominico Coppola; Farah Khalil; James J Mulé; Hatem H Soliman
Journal:  Breast Cancer Res       Date:  2017-06-19       Impact factor: 6.466

7.  Identification of genetic determinants of breast cancer immune phenotypes by integrative genome-scale analysis.

Authors:  Wouter Hendrickx; Ines Simeone; Samreen Anjum; Younes Mokrab; François Bertucci; Pascal Finetti; Giuseppe Curigliano; Barbara Seliger; Luigi Cerulo; Sara Tomei; Lucia Gemma Delogu; Cristina Maccalli; Ena Wang; Lance D Miller; Francesco M Marincola; Michele Ceccarelli; Davide Bedognetti
Journal:  Oncoimmunology       Date:  2017-02-06       Impact factor: 8.110

8.  miR-1298-5p Influences the Malignancy Phenotypes of Breast Cancer Cells by Inhibiting CXCL11.

Authors:  Jie Zhang; Dawei Hu
Journal:  Cancer Manag Res       Date:  2021-01-11       Impact factor: 3.989

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.