Sandeep Singhal

My areas of expertise include data mining, statistical modeling, and artificial intelligence with strong background in personalize medicine and cancer genomics especially in biomarker discovery and toxicity testing that I gained at various institutes in India, Europe, USA and Canada over past 16 years. My experience in the life science and healthcare fields has taught me different aspects to combined large multi-omicsdatasets and develop analytics methods, for instance, genetic profiles of large populations of cancer patients, combined with epigenetics and health records, lifestyle information and development of predictive models for patient response to a certain treatment. Such studies provide important clues about the molecular events at the genome level as well as the level of molecular networks, uncovering new approaches to the search for targeted drugs against a host of diseases. 

My current research is focused on developing a better understanding of cancer biology by applying multiple layers omics approach to improved outcomes. Following are the main areas of my research:

Multi-omics biomarkers to improve prediction of response to treatment in cancer patients

Breast cancer is a complex disease whose classification has been significantly improved in recent years through the development of biomarkers. Currently, there are four clinically distinct breast cancer subtypes. These subtypes determine molecular classification, along with clinical factors such as age, stage at diagnosis and comorbidity, in assessing treatment options. However, significant disparity in clinical outcome still remains within each of these disease subtypes, calling for extensive and ongoing research in breast cancer biomarkers. This is particularly the case in the United States with regard to the Triple Negative Breast Cancer subtype that occurs with nearly two-fold higher frequency in women of African ancestry. A high immune signal has been linked with improved patient outcome in a variety of cancers, including subtypes of breast cancer. CD4+ T cells, specifically, are central components of the immune system. They perform critical roles in recruiting, activating, and regulating many facets of the adaptive immune response, with their helper functions. CD4+ T cells also influence innate immunity by helping to shape the character and magnitude of the inflammatory response1.

 In one of my most influential contributions, I have developed a state-of-the-art model that identifies novel biomarkers to predict the response of drugs after short-term treatment for breast cancer, which, aimed to investigate the association between chemotherapy response and gene expression modules and uncover key biological processes and pathways in breast cancer subtypes2. I have identified that different biomarkers and pathways are associated with treatment outcomes in terms of pathological complete response (pCR) in different BC subtypes. This finding is incredibly useful for predicting the response of target drugs at early stages of treatment. Also, in a paired (i.e. at the beginning and after 10–14 days of neoadjuvant letrozole treatment) gene expression analysis of breast cancer patients shows that that the early assessment of proliferation after short-term endocrine therapy may be useful to evaluate endocrine responsiveness, particularly in genomic high-grade ER-positive breast cancer3.

I have also addressed young age adds extra biological complexity, which is independent of differences in breast cancer subtypes. This study provides significant scientific rationale to examine these findings in the clinical setting. Specifically, examining the inhibition of mammary stem cell function or RANKL-signaling pathways with specific drugs such as a RANKL inhibitor and their effects on mammary epithelial populations and tumor growth are beneficial for young women with newly diagnosed tumors. This is particularly clinically relevant for the young, given the risk for long-term side-effects of adjuvant systemic chemotherapy. In addition, I found Proliferation-related prognostic gene signatures that aid treatment in decision-making for young women with breast cancer4.

I am providing support to analyze high throughput data such as, ChlPSeq, RNASeq, ExomeSeq, microarray, peak calling etc. My current project has an integrated focus on to understand fundamental mechanisms of chromatin-based transcriptional control and epigenetic regulation with an emphasis on the role of metabolic imbalance in regulating these pathways in breast cancer (Proc Natl Acad Sci US A. 2009 Nov 17;106(46):19286-91; Nat Struct Mal Biol. 2010 Dec;17(12):1406-13; Nat Commun. 2012 Jan 17;3:633; Nat Commun. 2013;4:1449). Major goals include understanding the role of metabolism and transcriptional cross-talk between epigenetic co-regulators and hormone receptor-mediated signaling pathways in both enhancer function and promoter-targeted mechanisms of gene control. An essential component of this work is involve developing omicperspectives that will integrate next-generation sequencing with genomics, transcriptomics, epigenomics, proteomics and metabolomics using model systems and patient-derived samples. Furthermore, I was involved in a clinical trial that involved a randomized trial between letrozole and a placebo and letrozole and everolimus. In this trial, I have examined PIK3CA genotype and a PIK3CA mutation-related gene signature. His results indicated that the PIK3CA-GS identified ER-positive BCs that benefit for the addition of everolimus to letrozole5. 

Following are some article which appeared in some of the most competitive and prestigious journals in the field:

1. Peer-reviewed article first-authored by Dr. Singhal, Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival. Nature - Communications biology 4 (1), 1-132021

2. Peer-reviewed article co-authored by Dr. Singhal, SK Singhal Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction. Nature genetics 53 (1), 65-75

3. Peer-reviewed article co-authored by Dr. Singhal, Ancestry-dependent gene expression correlates with reprogramming to pluripotency and multiple dynamic biological processes. Sci Adv. 2020 Nov;6(47). doi: 10.1126/sciadv.abc3851. Print 2020 Nov. PubMed PMID: 33219026; PubMed Central PMCID: PMC7679169.

4. Peer-reviewed article co-first-authored by Dr. Singhal, "Racial Differences in the Association between Luminal Master Regulator Expression and Breast Cancer Survival". Clinical Cancer Research, 2020

5. Peer-reviewed article co-authored by Dr. Singhal, “CD4+ follicular helper T cell infiltration predicts breast cancer survival,” The Journal of Clinical Investigation, 2013 & a testimonial letter confirming Dr. Singhal’s substantial contribution

6. Peer-reviewed article co-first-authored by Dr. Singhal, “Gene modules and response to neoadjuvant chemotherapy in breast cancer subtypes: a pooled analysis,” Journal of Clinical Oncology, 2012J Clin Oncol 30:1996-2004, 2012

7. Peer-reviewed article co-first-authored by Dr. Singhal, “Low residual proliferation after short-term letrozole therapy is an early predictive marker of response in high proliferative ER-positive breast cancer,” Endocrine-Related Cancer, 2011Endocr Relat Cancer 18:721-30, 2011

8. Peer-reviewed article co-authored by Dr. Singhal, “Elucidating prognosis and biology of breast cancer arising in young women using gene expression profiling,” Clinical Cancer Research, 2012

9. Peer-reviewed article co-authored by Dr. Singhal, “PIK3CA Genotype and a PIK3CA Mutation-Related Gene Signature and Response to Everolimus and Letrozole in Estrogen Receptor Positive Breast Cancer,” PLoS One, 2013 PLoS One 8:e53292, 2013

Epigenetic profiling reveals a predominant immune component in breast cancers

In another contribution, I have demonstrated that understanding genetics and epigenetics is essential to improving the diagnosis and treatment. I found that DNA methylation profiling can reflect the cell type composition of the tumor microenvironment, and in particular a T lymphocyte infiltration of the tumors. Furthermore, I identified a set of immune genes having a high prognostic value in specific tumor categories. These immune components that provides a new perspective regarding the microenvironment in breast cancer, which holds implications for better management of breast cancer patients. In a collaborative study with diffrent labs, we have demonstrated that understanding of genetics with epigenetics is essential to improve diagnosis and optimizing treatment. We showed that DNA methylation profiling can reflect the cell type composition of the tumor microenvironment, and in particular a T lymphocyte infiltration of the tumors. We identified a set of immune genes having high prognostic value in specific tumor categories. The immune component uncovered here by DNA methylation profiles provides a new perspective for the importance of the microenvironment in breast cancer, holding implications for better management of breast cancer patients1,2. This research is extremely useful and informative in minimizing the side effects of systematic therapy, which will overcome the existing limitations of toxic manifestation, often encountered in conventional therapeutic interventions, such as chemotherapy, endocrine or hormonal therapy.

1. Peer-reviewed article co-authored by Dr. Singhal Epigenetic re-wiring of breast cancer by pharmacological targeting of C-terminal binding protein. Cell death & disease 10 (10), 1-15
2. Peer-reviewed article co-authored by Dr. Singhal, “DNA methylation profiling reveals a predominant immune component in breast cancers,” EMBO Mol Med3:726-41, 2011
3. Peer-reviewed article first-authored by Dr. Singhal, “Towards understanding the breast cancer epigenome: a comparison of genome-wide DNA methylation and gene expression data,” Oncotarget,Oncotarget 7:3002-17, 2016

Predict of toxicity after radiation therapy in prostate cancer patients

Radiotherapy is a mainstay of cancer treatment, used in either a curative or palliative manner to treat approximately 50% of patients with cancer. But damage to surrounding normal tissues can produce reactions ranging from bothersome symptoms that negatively affect quality of life to severe life-threatening complications. Improved ways of predicting, before treatment, the risk for development of normal tissue toxicity may allow for more personalized treatment and reduce the incidence and severity of late effects1. Urethral strictures (US) is a rare complication of prostate cancer patient treated with brachytherapy (BXT). I have developed a risk prediction model to predict the radiation toxicity US after BXT using clinical, dose- parameters2. This modeling approach, which is novel in BXT, helped to identify a combination of parameters with some predictive ability of radiation toxicity. Another major toxicity after radiation therapy is rectal bleeding. I have developed a validated model to predict the risk of radiation proctitis using clinical, radiation dose symmetric and high-throughput genomic (GWAS) data. A gwas pipeline has been created to pool data from different studies developed by our collaborators from the United States, United Kingdom and Spain and then divided as training set to develop a model and test dataset to evaluated its predication ability. All patients were treated with External beam radiotherapy (EBRT) & brachytherapy (Manuscript under review). In a large collaborative study, we identified a refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling3,4.

1. Peer-reviewed article co-authored by Dr. Singhal, “The Prediction of Radiotherapy Toxicity Using Single Nucleotide Polymorphism-Based Models: A Step Toward Prevention,” Seminars in Radiation Oncology, 2015
2. Peer-reviewed article first-authored by Dr. Singhal, “Clinical factors and dosimetry associated with development of prostate brachytherapy-related urethral strictures: A matched case-control study,” Brachytherapy, 2017
3. Peer-reviewed article co-authored by Dr. Singhal, “Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci,” Nature Genetics, 2018
4. Peer-reviewed article co-authored by Dr. Singhal, “Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants,” Nature Communications, 2018

Sandeep Singhal. Establishing a Genomic Association Between Chronological Aging and Ionizing Radiation Exposure for Human PMBC Studies Supplements Lung Disease Differentiation (Frontiers in Public Health, sec. Radiation and Health, May 2023) (PMC10213902)

Sandeep Singhal Immune Profile of Exosomes in African American Breast Cancer Patients Is Mediated by Kaiso/THBS1/CD47 Signaling (Cancers, April 2023) (PMCID: PMC10136634)

Sandeep Singhal..Arsenite Exposure to Human RPCs (HRTPT) Produces a Reversible Epithelial Mesenchyma Transition (EMT): In-vitro and In-silico study (PMID: 36982180), International Journal of Molecular Sciences)

Sandeep Singhal.. Schlafen 12 slows TNBC tumor growth, induces luminal markers and predicts favorable survival (Cancers Jan. 2023, 15, 402) PMCID: PMC9856841

Sandeep Singhal. al.. RNA Sequencing of Intestinal Enterocytes Pre- and Post-Roux-en-Y Gastric Bypass Reveals Alteration in Gene Expression Related to Enterocyte Differentiation, Restitution, and Obesity with Regulation by Schlafen 12 (Cells September 2022, PMC9601224)

Sandeep Singhal.. Kevin Gardner..Protein Levels of the gp78 Ligase Predict Poor Breast Cancer Outcome Based on Race (The Journal of Clinical Investigation (JCI), May 2022, PMC9310521)

Sandeep Singhal et al Gene expression and functional analysis of Asian population exposed to a range of Arsenic levels and its association with cancer cell lines and bladder tumors (Oxidative Medicine and Cellular Longevity, 2022, Volume2022 |Article ID 3459855 PMCID: PMC8760535

Sandeep Singhal. et al Role of HRTPT in kidney proximal epithelial cell regeneration: Integrative differential expression and pathway analysis using microarray and scRNA-seq (Journal of Cellular and Molecular Medicine, 09 October 2021, PMCID: PMC8581341)

SK Singhal, JS Byun Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival. Nature - Communications biology 4 (1), 1-132021

DV Conti,.....SK Singhal Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction. Nature genetics 53 (1), 65-75

Bisogno LS...Singhal S et al.Ancestry-dependent gene expression correlates with reprogramming to pluripotency and multiple dynamic biological processes. Sci Adv. 2020 Nov;6(47). doi: 10.1126/sciadv.abc3851. Print 2020 Nov. PubMed PMID: 33219026; PubMed Central PMCID: PMC7679169.

Blommel K,..Singhal SK et al., Meta-analysis of gene expression profiling reveals novel basal gene signatures in MCF-10A cells transformed with cadmium. Oncotarget. 2020 Sep 29;11(39):3601-3617. doi: 10.18632/oncotarget.27734. eCollection 2020 Sep 29. PubMed PMID: 33062196; PubMed Central PMCID: PMC7533076

Al-Marsoummi S, ..Singhal SK et al.,  Schlafen 12 Is Prognostically Favorable and Reduces C-Myc and Proliferation in Lung Adenocarcinoma but Not in Lung Squamous Cell Carcinoma. Cancers (Basel). 2020 Sep 24;12(10). doi: 10.3390/cancers12102738. PubMed PMID: 32987632; PubMed Central PMCID: PMC7650563.

SinghalS, et al. Liquid Biopsy in Lung Cancer Screening: The Contribution of Metabolomics. Results of A Pilot Study. Cancers 2019, 11(8), 1069; https://doi.org/10.3390/cancers11081069

Rania Bassiouni, Sandeep Singhal et al.Loss of nuclear alpha-catenin promotes ATR activation and contributes to chemoresistance and poor outcome in triple negative breast cancer. (Submitted to Cancer Research 2019, poster presented at AACR Annual meeting 2019, No 3488/29)

Jung S, Singhal S..et al Racial Differences in the Association between Luminal Master Regulator Expression and Breast Cancer Survival (Clinical Cancer Research, 2019)

JS Byun,.... SSinghal ...Epigenetic re-wiring of breast cancer by pharmacological targeting of C-terminal binding protein. Cell death & disease 10 (10), 1-1

Sarah L. Kerns, LauraFachal…Singhal S….et al Radiogenomics Consortium Genome Wide Association Study Meta-analysis of Late Toxicity after Prostate Cancer Radiotherapy.JNCI: Journal of the National Cancer Institute, djz075, https://doi.org/10.1093/jnci/djz075 (16 May 2019

Schumacher FR, Al Olama  AA, Berndt  SI, Benlloch  S,….. Singhal S,…et al. 2018. Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci.Nature Genetics 2018/6/11 https://doi.org/10.17863/CAM.1884

Dadaev, E.J. Saunders, P.J. Newcombe, E. Anokian, D.A. Leongamornlert, M.N. Brook,…Singhal S…et al. Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants.Nature Communications, 9 (2018), p. 2256, 10.1038/s41467-018-04109

Wishart David, Feunang YD1 Marcu A1, ...., Singhal S,….et al.HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2017 Nov 11. doi: 10.1093/nar/gkx1089.

Sandeep K Singhalet al. Clinical factors and dosimetry associated with development of prostate brachytherapy related urethral strictures: A matched case control study.Brachytherapy journal, 31 May 2017 https://doi.org/10.1016/j.brachy.2017.04.242

Sandeep K. Singhal, Nawaid Usmani, Stefan Michiels, Otto Metzger-Filho, Kamal S Saini, Olga Kovalchuk & Matthew Parliament (2015 submitted). Towards understanding the breast cancer epigenome: a comparison of genome-wide DNA methylation and gene expression data. Oncotarget. 2016 Jan 19;7(3):3002-17. doi: 10.18632/oncotarget.6503.)

Jesse Hill, Cian Hackett, Sandeep Singhal,..Nawaid Usmani. Does Location of Prostate Cancer By Sextant Biopsies Predict for Relapse After Prostate Brachytherapy With I-125 Seeds?Brachytherapy 14, June 30, 2015 S95-S96.

SL Kerns, S Kundu, JH Oh, SK Singhal, M Janelsins, LB Travis, JO Deasy, The Prediction of Radiotherapy Toxicity Using Single Nucleotide Polymorphism (SNP)-Based Models: A Step Towards Prevention.Seminars in Radiation Oncology October 2015 Volume 25, Issue 4, Pages 281–291Chunyan Gu-Trantien, .. Sandeep K. Singhal, .. Karen Willard-Gallo.. CXCL13-producing follicular helper CD4+ T cells infiltrating tumors signal an organized

immune response and predict survival in breast cancer. Running Title: Tfh cells and organized immunity in breast cancer. J Clin Invest. June 17, 2013, 7(123), 2873-2892, doi:10.1172/JCI67428.

Azim HA Jr#, Singhal S#, Ignatiadis M, Desmedt C, Fumagalli D, Debora Fumagalli, Isabelle Veys, Denis Larismont, Martine Piccart, Stefan Michiels, Christos Sotiriou. (2013). Association between SPARC mRNA Expression, Prognosis and Response to Neoadjuvant Chemotherapy in Early Breast Cancer: A Pooled in-silico Analysis.PLoSONE 8(12): e62451, doi:10.1371/annotation/3d5a5933-791f-4191-98f5-f559a872e404

Michail Ignatiadis#, Sandeep K. Singhal#, Gene modules and response to neoadjuvant chemotherapy in breast cancer: a meta-analysis.Journal of Clinical Oncology JCO. 2011.39. 5624, doi:10.1200/JCO.2011.39.5624. April 16, 2012

Metzger, O., Michiels, S., Singhal, S. K., Bertucci, F., Desmedt, C., Fumagalli, D., & Sotiriou, C. (2012).Urokinase-type plasminogen activator gene (PLAU) to predict clinical outcome in invasive lobular carcinoma. Journal of Clinical Oncology(Vol. 30, No. 15), 2012, May.

Sherene Loi, Stefan Michiels, Jose Baselga, John MS Bartlett, Sandeep K Singhal, Vicky S Sabine, Andrew H Sims, Tarek Sahmoud, J Michael Dixon, Martine J Piccart, Christos Sotiriou. (2013). PIK3CA Genotype and a PIK3CA Mutation-Related Gene Signature and Response to Everolimus and Letrozole in Estrogen Receptor Positive Breast Cancer. PloS one8 (1), e53292, January 02, 2013, DOI: 10.1371/journal.pone.0053292

Otto Metzger-Filho,..SK Singhal, Genomic grade adds prognostic value in invasive lobular carcinoma.Ann Oncol. 2013 Feb;24(2):377-84. doi: 10.1093/annonc/mds280. Epub 2012 Oct

Christine Desmedt, .. Sandeep K. Singhal, .. Christos Sotiriou. (2012). Characterization and clinical evaluation of CD10+ stroma cells in the breast cancer microenvironment.Clinical Cancer Res.2012 18(4) 1004-1014, Feb 15, 2012; doi: 10.1158/1078-0432.CCR-11-0383 PMID: 22235100

Hatem A. Azim Jr., .. Sandeep Singhal, ..Sherene Loi. (2012). Elucidating prognosis and biology of breast cancer arising in young women using gene expression profiling.Clin Cancer Res.2012 18(5): 1341-51 January18, 2012; doi: 10.1158/1078-0432.CCR-11-2599 PMID: 22261811

Sarah Dedeurwaerder, .. Sandeep K. Singhal, .. Christos Sotiriou,... (2011). DNA methylation profiling reveals a predominant immune component in breast cancers.EMBO Mol Med.2011 Dec, 3(12), 726-41. doi: 10.1002/emmm.201100801 PMID: 21910250

Philippe L. Bedard#, Sandeep K. Singhal#, .. Christos Sotiriou. (2011) Low residual proliferation after short-term letrozole therapy is an early predictive marker of response in high proliferative ER-positive breast cancer. Endocr Relat Cancer. 2011 Nov 14;18(6):721-30. doi: 10.1530/ERC-11-0180. PMID: 21984694,

Ignatiadis M, Rothé F,.. Singhal SK,Mic..Sotiriou C. (2011). HER2-positive circulating tumor cells in breast cancer.PLoS One. 2011 Jan 10;6 (1):e15624. PMID: 21264346

Abstracts/Posters

1. R Bassiouni, S Singhal ..Abstract PR13: Loss of alpha-catenin expression is associated with race, aggressive disease, and chemoresistance in triple-negative breast cancer Cancer Epidemiology and Prevention Biomarkers 29 (6 Supplement 2), PR13-PR13
2. JS Byun, SK Singhal, Abstract C033: Racial differences in the associations between luminal master regulator transcription factor expression and breast cancer survival.Cancer Epidemiology and Prevention Biomarkers 29 (6 Supplement 1), C033-C033
3. MD Perri, S Singhal... A novel comparative analysis approach to personalize chemotherapy dose in early breast cancer. Cancer Research. 78 (4 Supplement), P6-13-08-P6-13-08
4. Sandeep K Singhal, Nawaid Usman1, .. Validated risk predictive model for radiation proctitis after prostate radiotherapy using clinical, dosimetric and genetic variables. Poster No: 2 Alberta Epigenetics Network, March 27-28, 2017 Lethbridge Alberta, Canada
5. S Singhal, M Parliament, .. Risk prediction-modeling approach to identify best predictive parameters for urethral strictures after prostate brachytherapy. Journal of Clinical Oncology 35 (6_suppl), 87-87
6. Sandeep K. Singhal, et al. Combining genome-wide association studies (GWAS) to predict the likelihood of radiation toxicity of a prostate cancer patient after treatment.  APCaRI Fall Symposium 2015 Oct. 23-24, 2015 Kananaskis, Alberta and Manuscript is in progress.
7. Singhal SK, Usmani N, B..An exploratory model to predict the likelihood of radiation toxicity of a prostate cancer patient after treatment incorporating genomic, clinical and dosimetric variables.  Radiotherapy and Oncology116(Supp 1): S53 – S54.
8. Christine Desmedt, S Sandeep Singhal, . (2012). Characterization of different foci of multifocal breast cancer using genomic, transcriptomic and epigenomic data.(Paper presented at 2012 CTRC-AACR San Antonio: S6-2). Volume 72 • Number 24
9. Christine Desmedt, Sandeep Singhal,.. (2012). Characterization of PIK3CA mutations in lobular breast cancer.(Abstract presented at 2012 CTRC-AACR San Antonio: P3-05-03). Volume 72 • Number 24
10. Debora Fumagalli, Sandeep Singhal,... Effect of sample preservation method and transportation duration on tumor gene expression profiling in breast cancer.(Abstract presented at 2012 CTRC-AACR San Antonio: P6-07-22). Volume 72 • Number 24
11. Azim Jr HA, Singhal S,  Association between SPARC mRNA expression, prognosis and response to neoadjuvant chemotherapy in early breast cancer (BC): a pooled in-silico analysis. (Abstract presented at 2012 CTRC-AACR San Antonio: P1?07?08). Volume 72 • Number 24
12. D Fumagalli, SK Singhal, . Molecular characterization of early-stage HER2-overexpressing breast cancer (HER2+ BC) treated with adjuvant trastuzumab: identification of prognostic groups. Annals of oncology, volume 23, 21-21 May 5, 2012 doi: 10.1093/annonc/mds039.
13. Metzger O, Singhal SK, ... (2011). Invasive Lobular Carcinoma - A Luminal Breast Cancer Histotype Enriched for Epithelial-to-Mesenchymal Transition Features. Abstract # P1-02-05 AACR San Antonio Breast Cancer Symposium, Texas, USA (December 6-10, 2011). Volume 71 • Number 24
14. Ignatiadis M, Singhal SK.... Gene Modules and Response to Neoadjuvant Chemotherapy in Breast Cancer: A Meta-Analysis. Abstract # PD03-10 AACR San Antonio Breast Cancer Symposium, Texas, USA (December 6-10, 2011). Volume 71 • Number 24
15. Sandeep K. Singhal, Christine Desmedt, Michail Ignatiadis, Christos Sotiriou, Stefan Michiels. (2011) Statistical issues in the analysis of genome-wide methylation arrays as compared to gene expression data: a breast cancer example. (2011) Abstract # 210 InCoB/ISCB-Asia 2011 Annual Meeting(Nov 30-Dec. 2, 2011).
16. Otto Metzger, Sandeep K Singhal, . Invasive lobular carcinoma – A luminal breast cancer histotype enriched for epithelial-to-mesenchymal transition features.Abstract # 83252 ASCO 2011 Annual Meeting(June 3-7, 2011).
17. Sarah Dedeurwaerder, Sandeep K. Singhal, . Epigenetic portraits of human breast cancers. (2011) Abstract # LB-180, American Association for Cancer Research 2011 Annual Meeting(April 2-6, 2011)
18. Azim HA Jr., Michiels S, Bedard P, Singhal S, The prognostic performance of firstgeneration signatures (FGS) in young women with operable breast cancer (BC). (2011) Abstract # 136P Ann Oncol 2011; proceeding IMPAKT,Vol 22 (Suppl 2), (poster walk discussion) (May 4-7 2011)
19. Fumagalli, O. .. S. K. Singhal, Use of genomic grade index to improve tumor grading of invasive lobular breast carcinoma. (2011). Abstract # 535 ASCO Annual Meeting(June 3-7, 2011). J Clin Oncol 29: 2011 (suppl; abstr 535)
20. A. Azim Jr., ..S. K. Singhal, ... (2011). Elucidating the biology of prognosis of breast cancer (BC) in young women using gene expression profiling. (2011) Abstract # 10603 ASCO Annual Meeting(June 3-7, 2011).
21. Christine Desmedt, ..Sandeep Singhal.... (2011). DNA methylation immune markers to predict breast cancer (BC) chemosensitivity to anthracyclines.(2011)Abstract #81247, 2011 ASCO Annual Meeting(June 3-7, 2011).
22. Christine Desmedt, ..Sandeep Singhal...(2010). In vivo and in silico evaluation of the stromal contribution of tumor microenvironment. (2010) AbstractAACR San Antonio Breast Cancer Symposium, 2010, San Antonio, Texas, USA
23. Loi, B. Haibe-Kains, Sandeep K. Singhal,.. Molecular and clinically distinct phenotypes in HER2-overexpressing breast cancer (HER2+ BC) correspond to estrogen receptor status (ER) status. (2010) Abstract #522: IMPAKT Breast cancer conference, 2010.
24. Philippe L. Bedard..Sandeep K. Singhal, ... Use of meta-analysis of gene expression profiling studies to identify biologically relevant pathways associated with aggressive breast cancer (BC) in young women. (2010)Abstr# 54443: American Association for Cancer Research2010, poster.
25. MichailIgnatiadis.. SandeepK. Singhal.... A meta-analysis of gene expression profiling studies identifies clinically relevant oncogenic pathways in basal-like breast cancer. (2009)Abstract #106: ACR San Antonio Breast Cancer Symposium, 2009, poster.
26. PL Bedard..Sandeep K. Singhal... Limited clinical utility of prognostic gene expression profiles in grade 3-node negative early stage breast cancer. Abstract #103: AACR San Antonio Breast Cancer Symposium, 2009, poster.
27. Michail Ignatiadis, Sandeep K Singhal... Gene expression module associated with Insulin-like Growth factor-1 (IGF-1) pathway activation predicts poor response to tamoxifen in ER+/HER2- early breast cancer (BC). Abstract # 2743: American Association for Cancer Research2009, poster.

Link: “http://scholar.google.ca/citations?user=NY5nrrYAAAAJ&hl=en”

• Postdoctoral Fellow, Cross Cancer Institute, University of Alberta, Edmonton, Canada
• Postdoctoral Fellow, Department of Biomedical Informatics, University of Pittsburgh,
• Doctorate (Bioinformatics), Université libre de Bruxelles, Belgium

• Adjunct Faculty, Pathology and Cell Biology, Columbia University Medical Centre, NY
• Editor | Scientific Reports
• Assistant Professor, Department of Biomedical Engineering, College of Engineering & Mines, University of North Dakota, Grand Forks, ND, USA
• Director, North Dakota INBRE, Bioinformatics division, ND, USA
• Research Scientist, Columbia University Medical Center, New York, NY, USA
• Editorial board member of Journal of Current Trends in Translational and Research, IL, USA.
• Scientific Advisor, BioMark Diagnostics Inc. Vancouver, British Columbia
• Bioinformatician researcher, Jules Bordet Institute, ULB Bruxelles, Belgium