Literature DB >> 28344862

Expression profiles of immune-related genes are associated with neoadjuvant ipilimumab clinical benefit.

Ahmad A Tarhini1, Yan Lin2, Hui-Min Lin2, Priyanka Vallabhaneni2, Cindy Sander2, William LaFramboise1, Lana Hamieh3.   

Abstract

Purpose: Patients with regionally advanced melanoma were treated with neoadjuvant ipilimumab in a previously reported study (PLOS One 2014). Gene expression profiles of tumors of treated patients were investigated for their association with immunotherapeutic benefit.
Methods: Patients were treated with ipilimumab (10 mg/kg intravenously every 3 weeks × 2 doses) before and after surgery. Tumor specimens were obtained at baseline and at definitive surgery (weeks 6-8). Gene expression profiling was performed on the tumor biopsies of 27 patients. The primary endpoint was mRNA expression profiling using U133A 2.0 Affymetrix gene chips. Significance analysis of microarrays was performed to test the association of each gene with outcome. Pathway analysis was performed using Ingenuity Pathway Analysis software. The Benjamini and Hochberg method was used to adjust for multiple testing in the pathway analysis.
Results: Pathway analysis identified biologically relevant pathways enriched with genes that are significantly associated with clinical outcome at baseline in relation to relapse-free survival (RFS) and disease non-progression (as assessed preoperatively at week 6) as well as early on-treatment (RFS and overall survival). The molecules and pathways that achieved differential expression of highest statistical significance were notably immune related. Association of the gene signature with clinical outcome overlapped between baseline and on-treatment specimens and across clinical endpoints tested.
Conclusion: Gene expression profiling identified a signature reflecting an immune active and proinflammatory tumor microenvironment that derived clinical benefit from neoadjuvant ipilimumab at baseline and early on-treatment. These findings warrant further investigation in relation to ipilimumab and other immunotherapeutics.

Entities:  

Keywords:  Cytotoxic T lymphocyte antigen-4; gene expression profiling; ipilimumab; melanoma; neoadjuvant

Year:  2016        PMID: 28344862      PMCID: PMC5353928          DOI: 10.1080/2162402X.2016.1231291

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


  15 in total

1.  Ipilimumab plus dacarbazine for previously untreated metastatic melanoma.

Authors:  Caroline Robert; Luc Thomas; Igor Bondarenko; Steven O'Day; Jeffrey Weber; Claus Garbe; Celeste Lebbe; Jean-François Baurain; Alessandro Testori; Jean-Jacques Grob; Neville Davidson; Jon Richards; Michele Maio; Axel Hauschild; Wilson H Miller; Pere Gascon; Michal Lotem; Kaan Harmankaya; Ramy Ibrahim; Stephen Francis; Tai-Tsang Chen; Rachel Humphrey; Axel Hoos; Jedd D Wolchok
Journal:  N Engl J Med       Date:  2011-06-05       Impact factor: 91.245

2.  An immune-active tumor microenvironment favors clinical response to ipilimumab.

Authors:  Rui-Ru Ji; Scott D Chasalow; Lisu Wang; Omid Hamid; Henrik Schmidt; John Cogswell; Suresh Alaparthy; David Berman; Maria Jure-Kunkel; Nathan O Siemers; Jeffrey R Jackson; Vafa Shahabi
Journal:  Cancer Immunol Immunother       Date:  2011-12-07       Impact factor: 6.968

3.  Pooled Analysis of Long-Term Survival Data From Phase II and Phase III Trials of Ipilimumab in Unresectable or Metastatic Melanoma.

Authors:  Dirk Schadendorf; F Stephen Hodi; Caroline Robert; Jeffrey S Weber; Kim Margolin; Omid Hamid; Debra Patt; Tai-Tsang Chen; David M Berman; Jedd D Wolchok
Journal:  J Clin Oncol       Date:  2015-02-09       Impact factor: 44.544

Review 4.  Immunotherapy of Melanoma.

Authors:  Ahmad A Tarhini
Journal:  Curr Mol Pharmacol       Date:  2016       Impact factor: 3.339

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Authors:  P S Linsley; J Bradshaw; J Greene; R Peach; K L Bennett; R S Mittler
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Authors:  Ahmad A Tarhini; John M Kirkwood
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7.  Improved survival with ipilimumab in patients with metastatic melanoma.

Authors:  F Stephen Hodi; Steven J O'Day; David F McDermott; Robert W Weber; Jeffrey A Sosman; John B Haanen; Rene Gonzalez; Caroline Robert; Dirk Schadendorf; Jessica C Hassel; Wallace Akerley; Alfons J M van den Eertwegh; Jose Lutzky; Paul Lorigan; Julia M Vaubel; Gerald P Linette; David Hogg; Christian H Ottensmeier; Celeste Lebbé; Christian Peschel; Ian Quirt; Joseph I Clark; Jedd D Wolchok; Jeffrey S Weber; Jason Tian; Michael J Yellin; Geoffrey M Nichol; Axel Hoos; Walter J Urba
Journal:  N Engl J Med       Date:  2010-06-05       Impact factor: 91.245

8.  Chemokine expression in melanoma metastases associated with CD8+ T-cell recruitment.

Authors:  Helena Harlin; Yuru Meng; Amy C Peterson; Yuanyuan Zha; Maria Tretiakova; Craig Slingluff; Mark McKee; Thomas F Gajewski
Journal:  Cancer Res       Date:  2009-03-17       Impact factor: 12.701

Review 9.  What is the role of cytotoxic T lymphocyte-associated antigen 4 blockade in patients with metastatic melanoma?

Authors:  Caroline Robert; Francois Ghiringhelli
Journal:  Oncologist       Date:  2009-08-01

10.  Immune monitoring of the circulation and the tumor microenvironment in patients with regionally advanced melanoma receiving neoadjuvant ipilimumab.

Authors:  Ahmad A Tarhini; Howard Edington; Lisa H Butterfield; Yan Lin; Yongli Shuai; Hussein Tawbi; Cindy Sander; Yan Yin; Matthew Holtzman; Jonas Johnson; Uma N M Rao; John M Kirkwood
Journal:  PLoS One       Date:  2014-02-03       Impact factor: 3.240

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1.  Immune signature profiling identified predictive and prognostic factors for esophageal squamous cell carcinoma.

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Journal:  Oncoimmunology       Date:  2017-07-31       Impact factor: 8.110

Review 2.  Trial Watch: Immunostimulation with recombinant cytokines for cancer therapy.

Authors:  Elena García-Martínez; Melody Smith; Aitziber Buqué; Fernando Aranda; Francisco Ayala de la Peña; Alejandra Ivars; Manuel Sanchez Cánovas; Ma Angeles Vicente Conesa; Jitka Fucikova; Radek Spisek; Laurence Zitvogel; Guido Kroemer; Lorenzo Galluzzi
Journal:  Oncoimmunology       Date:  2018-02-15       Impact factor: 8.110

Review 3.  Biomarkers Predicting for Response and Relapse with Melanoma Systemic Therapy.

Authors:  Sarah J Welsh; Pippa G Corrie
Journal:  Acta Derm Venereol       Date:  2020-06-03       Impact factor: 3.875

4.  Robust Significance Analysis of Microarrays by Minimum β-Divergence Method.

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5.  Immune signature profiling identified prognostic factors for gastric cancer.

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Journal:  Chin J Cancer Res       Date:  2019-06       Impact factor: 5.087

Review 6.  Neoadjuvant therapy of locally/regionally advanced melanoma.

Authors:  Arjun Khunger; Zachary S Buchwald; Michael Lowe; Mohammad K Khan; Keith A Delman; Ahmad A Tarhini
Journal:  Ther Adv Med Oncol       Date:  2019-07-31       Impact factor: 8.168

7.  Improved prognosis and evidence of enhanced immunogenicity in tumor and circulation of high-risk melanoma patients with unknown primary.

Authors:  Ahmad A Tarhini; Sandra J Lee; Aik-Choon Tan; Issam M El Naqa; F Stephen Hodi; Lisa H Butterfield; William A LaFramboise; Walter J Storkus; Arivarasan D Karunamurthy; Jose R Conejo-Garcia; Patrick Hwu; Howard Streicher; Vernon K Sondak; John M Kirkwood
Journal:  J Immunother Cancer       Date:  2022-01       Impact factor: 12.469

Review 8.  Biological Factors behind Melanoma Response to Immune Checkpoint Inhibitors.

Authors:  Magdalena Olbryt; Marcin Rajczykowski; Wiesława Widłak
Journal:  Int J Mol Sci       Date:  2020-06-06       Impact factor: 5.923

9.  Bioinformatics profiling identifies seven immune-related risk signatures for hepatocellular carcinoma.

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Journal:  PeerJ       Date:  2020-05-26       Impact factor: 2.984

10.  Identification of a Gene-Related Risk Signature in Melanoma Patients Using Bioinformatic Profiling.

Authors:  Jing Wang; Peng-Fei Kong; Hai-Yun Wang; Di Song; Wen-Qing Wu; Hang-Cheng Zhou; Hai-Yan Weng; Ming Li; Xin Kong; Bo Meng; Zong-Ke Chen; Jing-Jing Chen; Chuan-Ying Li; Jian-Yong Shao
Journal:  J Oncol       Date:  2020-04-29       Impact factor: 4.375

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