Validation of a hypoxia related gene signature in multiple soft tissue sarcoma cohorts

Purpose There is a need for adjuvant/neo-adjuvant treatment strategies to prevent metastatic relapse in soft tissue sarcoma (STS). Tumor hypoxia is associated with a high-risk of metastasis and is potentially targetable. This study aimed to derive and validate a hypoxia mRNA signature for STS for future biomarker-driven trials of hypoxia targeted therapy. Materials and Methods RNA sequencing was used to identify seed genes induced by hypoxia in seven STS cell lines. Primary tumors in a training cohort (French training) were clustered into two phenotypes by seed gene expression and a de novo hypoxia signature derived. Prognostic significance of the de novo signature was evaluated in the training and two independent validation (French validation and The Cancer Genome Atlas) cohorts. Results 37 genes were up-regulated by hypoxia in all seven cell lines, and a 24-gene signature was derived. The high-hypoxia phenotype defined by the signature was enriched for well-established hypoxia genes reported in the literature. The signature was prognostic in univariable analysis, and in multivariable analysis in the training (n = 183, HR 2.16, P = 0.0054) and two independent validation (n = 127, HR 3.06, P = 0.0019; n = 258, HR 2.05, P = 0.0098) cohorts. Combining information from the de novo hypoxia signature and a genome instability signature significantly improved prognostication. Transcriptomic analyses showed high-hypoxia tumors had more genome instability and lower immune scores. Conclusions A 24-gene STS-specific hypoxia signature may be useful for prognostication and identifying patients for hypoxia-targeted therapy in clinical trials.

[1]  Crispin J. Miller,et al.  Relation of a hypoxia metagene derived from head and neck cancer to prognosis of multiple cancers. , 2007, Cancer research.

[2]  Matthew E. Ritchie,et al.  limma powers differential expression analyses for RNA-sequencing and microarray studies , 2015, Nucleic acids research.

[3]  R. Tomasini,et al.  Strengthened glycolysis under hypoxia supports tumor symbiosis and hexosamine biosynthesis in pancreatic adenocarcinoma , 2013, Proceedings of the National Academy of Sciences.

[4]  F. Farrokhyar,et al.  A systematic meta‐analysis of randomized controlled trials of adjuvant chemotherapy for localized resectable soft‐tissue sarcoma , 2008, Cancer.

[5]  E. Wall,et al.  The role of hypoxia inducible factor 1 (HIF-1) in hypoxia induced apoptosis , 2004, Journal of Clinical Pathology.

[6]  Thomas R. Gingeras,et al.  STAR: ultrafast universal RNA-seq aligner , 2013, Bioinform..

[7]  Robert D. Schreiber,et al.  Interferons, immunity and cancer immunoediting , 2006, Nature Reviews Immunology.

[8]  A. Davis,et al.  Vortex Trial: A Randomized Controlled Multicenter Phase 3 Trial of Volume of Postoperative Radiation Therapy Given to Adult Patients With Extremity Soft Tissue Sarcoma (STS). , 2016 .

[9]  Björn Usadel,et al.  Trimmomatic: a flexible trimmer for Illumina sequence data , 2014, Bioinform..

[10]  Charles H. Graham,et al.  Hypoxia-driven selection of the metastatic phenotype , 2007, Cancer and Metastasis Reviews.

[11]  O. S. Nielsen,et al.  A prognostic profile of hypoxia-induced genes for localised high-grade soft tissue sarcoma , 2016, British Journal of Cancer.

[12]  Brad T. Sherman,et al.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources , 2008, Nature Protocols.

[13]  R. Bristow,et al.  Tumor hypoxia as a driving force in genetic instability , 2013, Genome Integrity.

[14]  C. Antonescu,et al.  Localized extremity soft tissue sarcoma: improved knowledge with unchanged survival over time. , 2003, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[15]  Jun Li,et al.  TCPA: a resource for cancer functional proteomics data , 2013, Nature Methods.

[16]  Kyungbin Kim,et al.  Expression of hypoxic markers and their prognostic significance in soft tissue sarcoma , 2015, Oncology letters.

[17]  G. Getz,et al.  Inferring tumour purity and stromal and immune cell admixture from expression data , 2013, Nature Communications.

[18]  Rafael A. Irizarry,et al.  A Model-Based Background Adjustment for Oligonucleotide Expression Arrays , 2004 .

[19]  Denis Wirtz,et al.  Hypoxia and the extracellular matrix: drivers of tumour metastasis , 2014, Nature Reviews Cancer.

[20]  M. Dewhirst,et al.  Tumor oxygenation predicts for the likelihood of distant metastases in human soft tissue sarcoma. , 1996, Cancer research.

[21]  A. Carneiro,et al.  Hypoxia-inducible factor 1α predicts recurrence in high-grade soft tissue sarcoma of extremities and trunk wall , 2017, Journal of Clinical Pathology.

[22]  J. Skitzki,et al.  Current Immunotherapies for Sarcoma: Clinical Trials and Rationale , 2016, Sarcoma.

[23]  Ananya Choudhury,et al.  A Gene Signature for Selecting Benefit from Hypoxia Modification of Radiotherapy for High-Risk Bladder Cancer Patients , 2017, Clinical Cancer Research.

[24]  Crispin J. Miller,et al.  A 26-Gene Hypoxia Signature Predicts Benefit from Hypoxia-Modifying Therapy in Laryngeal Cancer but Not Bladder Cancer , 2013, Clinical Cancer Research.

[25]  V. Ponomarev,et al.  Hypoxia-activated pro-drug TH-302 exhibits potent tumor suppressive activity and cooperates with chemotherapy against osteosarcoma. , 2015, Cancer letters.

[26]  F. Buffa,et al.  Gene Expression Signatures as Biomarkers of Tumour Hypoxia. , 2015, Clinical oncology (Royal College of Radiologists (Great Britain)).

[27]  B. S. Sørensen,et al.  The usability of a 15-gene hypoxia classifier as a universal hypoxia profile in various cancer cell types. , 2015, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[28]  Paul Theodor Pyl,et al.  HTSeq—a Python framework to work with high-throughput sequencing data , 2014, bioRxiv.

[29]  K. S. Hall,et al.  Soft tissue and visceral sarcomas: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. , 2014, Annals of oncology : official journal of the European Society for Medical Oncology.

[30]  O. S. Nielsen,et al.  Hypoxia in human soft tissue sarcomas: Adverse impact on survival and no association with p53 mutations , 2001, British Journal of Cancer.

[31]  R. Tibshirani,et al.  Diagnosis of multiple cancer types by shrunken centroids of gene expression , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[32]  J. Blay,et al.  Histotype-tailored neoadjuvant chemotherapy versus standard chemotherapy in patients with high-risk soft-tissue sarcomas (ISG-STS 1001): an international, open-label, randomised, controlled, phase 3, multicentre trial. , 2017, The Lancet. Oncology.

[33]  J. Blay,et al.  Validated prediction of clinical outcome in sarcomas and multiple types of cancer on the basis of a gene expression signature related to genome complexity , 2010, Nature Medicine.

[34]  W. Huber,et al.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.

[35]  Benjamin E. Gross,et al.  The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. , 2012, Cancer discovery.

[36]  W. Wilson,et al.  Targeting hypoxia in cancer therapy , 2011, Nature Reviews Cancer.

[37]  B. Telfer,et al.  The hypoxia-selective cytotoxin NLCQ-1 (NSC 709257) controls metastatic disease when used as an adjuvant to radiotherapy , 2010, British Journal of Cancer.

[38]  Derek Y. Chiang,et al.  Subtype-specific genomic alterations define new targets for soft tissue sarcoma therapy , 2010, Nature Genetics.

[39]  Wei Zhang,et al.  Distinct immunophenotypes and prognostic factors in renal cell carcinoma with sarcomatoid differentiation: a systematic study of 19 immunohistochemical markers in 42 cases , 2017, BMC Cancer.

[40]  P Reichardt,et al.  Soft tissue and visceral sarcomas: ESMO-EURACAN Clinical Practice Guidelines for diagnosis, treatment and follow-up. , 2018, Annals of oncology : official journal of the European Society for Medical Oncology.

[41]  Robin L. Jones,et al.  Randomized phase 3, multicenter, open-label study comparing evofosfamide (Evo) in combination with doxorubicin (D) vs. D alone in patients (pts) with advanced soft tissue sarcoma (STS): Study TH-CR-406/SARC021 , 2016 .