ORCID Profile
0000-0003-1422-1106
Current Organisation
Garvan Institute of Medical Research
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22428508.V1
Abstract: Supplementary results and methods
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22428508
Abstract: Supplementary results and methods
Publisher: American Association for Cancer Research (AACR)
Date: 03-04-2023
DOI: 10.1158/1541-7786.22526391.V1
Abstract: Multiplex immunofluorescence staining quantification by Visiopharm Image Analytical System. DAPI nuclei were segmented defining the areas. Then each marker was quantified within this DAPI area. MPP4 low (MelR062) and MPP4 high (MelR166) phenotypes are represented.
Publisher: American Association for Cancer Research (AACR)
Date: 03-04-2023
DOI: 10.1158/1541-7786.22526397.V1
Abstract: Kaplan-Meier (log-rank) analysis of MPP4 and SD3 showing the PFS and OS for stage III patients only. a. PFS for MPP4, **p=0.0017, b. OS for MPP4, *p=0.0117, c. PFS for SD3, ***p=0.0003 and d. OS for SD3, **p=0.0094.
Publisher: Springer Science and Business Media LLC
Date: 23-12-2016
DOI: 10.1007/S13277-015-4553-1
Abstract: Acute lymphoblastic leukemia (ALL) is the major neoplasia type among children. Despite the tremendous success of current treatment strategies, drug resistance still remains a major cause of chemotherapy failure and relapse in pediatric patients. Overwhelming evidence illustrates that microRNAs (miRNAs) act as post-transcriptional regulators of drug-resistance-related genes. The current study was aimed at how dysregulated miRNA-mRNA-signaling pathway interaction networks mediate resistance to four commonly used chemotherapy agents in pediatric ALL, including asparaginase, daunorubicin, prednisolone, and vincristine. Using public expression microarray datasets, a holistic in silico approach was utilized to investigate candidate drug resistance miRNA-mRNA-signaling pathway interaction networks in pediatric ALL. Our systems biology approach nominated significant drug resistance and cross-resistance miRNAs, mRNAs, and cell signaling pathways based on anti-correlative relationship between miRNA and mRNA expression pattern. To sum up, our systemic analysis disclosed either a new potential role of miRNAs, or a possible mechanism of cellular drug resistance, in chemotherapy resistance of pediatric ALL. The current study may shed light on predicting drug response and overcoming drug resistance in childhood ALL for subsequent generations of chemotherapies.
Publisher: Springer Science and Business Media LLC
Date: 31-05-2023
DOI: 10.1038/S41467-023-38891-X
Abstract: Oesophageal adenocarcinoma is a poor prognosis cancer and the molecular features underpinning response to treatment remain unclear. We investigate whole genome, transcriptomic and methylation data from 115 oesophageal adenocarcinoma patients mostly from the DOCTOR phase II clinical trial (Australian New Zealand Clinical Trials Registry-ACTRN12609000665235), with exploratory analysis pre-specified in the study protocol of the trial. We report genomic features associated with poorer overall survival, such as the APOBEC mutational and RS3-like rearrangement signatures. We also show that positron emission tomography non-responders have more sub-clonal genomic copy number alterations. Transcriptomic analysis categorises patients into four immune clusters correlated with survival. The immune suppressed cluster is associated with worse survival, enriched with myeloid-derived cells, and an epithelial-mesenchymal transition signature. The immune hot cluster is associated with better survival, enriched with lymphocytes, myeloid-derived cells, and an immune signature including CCL5 , CD8A , and NKG7 . The immune clusters highlight patients who may respond to immunotherapy and thus may guide future clinical trials.
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/1078-0432.22480715.V1
Abstract: Supplementary Data from Integrative Profiling of T790M-Negative EGFR-Mutated NSCLC Reveals Pervasive Lineage Transition and Therapeutic Opportunities
Publisher: American Association for Cancer Research (AACR)
Date: 03-04-2023
DOI: 10.1158/1541-7786.22526388
Abstract: Table S1. Patient Characteristics. AJCC: American Joint Committee on Cancer Table S2. Clinical information including histology, stage and survival. Table S3. Univariate analysis of clinico-pathological and CT features. Log-rank (Mantel-Cox) test to determine optimal cut-offs for low/high groups. Table S4. RNAseq immune genes for multiplex analysis.
Publisher: DoNotEdit
Date: 05-02-2013
DOI: 10.5812/IRCMJ.4990
Publisher: Springer Science and Business Media LLC
Date: 26-05-2017
DOI: 10.1007/S00280-017-3340-7
Abstract: ATP-binding cassette subfamily C member 4 (ABCC4) encoding MRP4 protein is involved in pediatric acute lymphoblastic leukemia (ALL) drug resistance. The nonsynonymous single nucleotide polymorphism (SNP) rs2274407 (G912T K304N) is located in the 3' splice acceptor site of exon 8 of ABCC4 pre-mRNA. The aim of this study was to investigate the prognostic value of rs2274407 in childhood ALL and its possible functional effect on MRP4. ABCC4 G912T SNP was genotyped in 145 Iranian Philadelphia-negative (Ph ABCC4 912T allele carriers (G/T and T/T genotypes) are associated with worse 3DFS in Pre-B cell ALL [P = 0.00019, OR (95% CI) = 13.17 (2.55-68.11)]. In addition, computational studies showed that K304N alteration has no impact on the MRP4 activity. However, it may disrupt the normal splicing process of ABCC4 pre-mRNA. To date, this is the first study that shows the potential functional impact of rs2274407 SNP on the aberrant splicing of ABCC4 mRNA. We also demonstrated a robust association between G912T and pediatric ALL negative outcome, which may be explained by the novel computational studies performed in this study.
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/1078-0432.22480712.V1
Abstract: Supplementary Data from Integrative Profiling of T790M-Negative EGFR-Mutated NSCLC Reveals Pervasive Lineage Transition and Therapeutic Opportunities
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/1078-0432.C.6530516
Abstract: AbstractPurpose: Despite the established role of EGFR tyrosine kinase inhibitors (TKIs) in i EGFR /i -mutated NSCLC, drug resistance inevitably ensues, with a paucity of treatment options especially in i EGFR /i sup T790M /sup -negative resistance. Experimental Design: We performed whole-exome and transcriptome analysis of 59 patients with first- and second-generation EGFR TKI-resistant metastatic i EGFR /i -mutated NSCLC to characterize and compare molecular alterations mediating resistance in T790M-positive (T790M sup + /sup ) and -negative (T790M sup − /sup ) disease. Results: Transcriptomic analysis revealed ubiquitous loss of adenocarcinoma lineage gene expression in T790M sup − /sup tumors, orthogonally validated using multiplex IHC. There was enrichment of genomic features such as i TP53 /i alterations, 3q chromosomal lifications, whole-genome doubling and nonaging mutational signatures in T790M sup − /sup tumors. Almost half of resistant tumors were further classified as immune sup hot /sup , with clinical outcomes conditional on immune cell-infiltration state and T790M status. Finally, using a Bayesian statistical approach, we explored how T790M sup − /sup and T790M sup + /sup disease might be predicted using comprehensive genomic and transcriptomic profiles of treatment-naïve patients. Conclusions: Our results illustrate the interplay between genetic alterations, cell lineage plasticity, and immune microenvironment in shaping ergent TKI resistance and outcome trajectories in i EGFR /i -mutated NSCLC. Genomic and transcriptomic profiling may facilitate the design of bespoke therapeutic approaches tailored to a tumor's adaptive potential. /
Publisher: Mary Ann Liebert Inc
Date: 03-2015
Abstract: Genotyping of single-nucleotide polymorphisms (SNPs) has been applied in various genetic contexts. Tetra-primer lification refractory mutation system (ARMS) polymerase chain reaction (PCR) is reported as a prominent assay for SNP genotyping. However, there were published data that may question the reliability of this method on some occasions, in addition to a laborious and time-consuming procedure of the optimization step. In the current study, a new SNP genotyping method named modified tetra-primer ARMS (MTPA) PCR was developed based on tetra-primer ARMS PCR. The modified method has two improvements in its instruction, including equalization of outer primer and inner primer strength by additional mismatch in outer primers, and consideration of equal annealing temperature of specific fragments more than melting temperature of primers. Advantageously, a new computer software was provided for designing primers based on novel concepts. The usual tetra-primer ARMS PCR has a laborious process for optimization. In nonoptimal PCR programs, identification of the accurate genotype was found to be very difficult. However, in MTPA PCR, equalization of the licons and primer strength leads to increasing specificity and convenience of genotyping, which was validated by sequencing. In the MTPA PCR technique, a new mismatch at -2 positions of outer primers and equal annealing temperature improve the genotyping procedure. Together, the introduced method could be suggested as a powerful tool for genotyping single-nucleotide mutations and polymorphisms.
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/1078-0432.C.6530516.V1
Abstract: AbstractPurpose: Despite the established role of EGFR tyrosine kinase inhibitors (TKIs) in i EGFR /i -mutated NSCLC, drug resistance inevitably ensues, with a paucity of treatment options especially in i EGFR /i sup T790M /sup -negative resistance. Experimental Design: We performed whole-exome and transcriptome analysis of 59 patients with first- and second-generation EGFR TKI-resistant metastatic i EGFR /i -mutated NSCLC to characterize and compare molecular alterations mediating resistance in T790M-positive (T790M sup + /sup ) and -negative (T790M sup − /sup ) disease. Results: Transcriptomic analysis revealed ubiquitous loss of adenocarcinoma lineage gene expression in T790M sup − /sup tumors, orthogonally validated using multiplex IHC. There was enrichment of genomic features such as i TP53 /i alterations, 3q chromosomal lifications, whole-genome doubling and nonaging mutational signatures in T790M sup − /sup tumors. Almost half of resistant tumors were further classified as immune sup hot /sup , with clinical outcomes conditional on immune cell-infiltration state and T790M status. Finally, using a Bayesian statistical approach, we explored how T790M sup − /sup and T790M sup + /sup disease might be predicted using comprehensive genomic and transcriptomic profiles of treatment-naïve patients. Conclusions: Our results illustrate the interplay between genetic alterations, cell lineage plasticity, and immune microenvironment in shaping ergent TKI resistance and outcome trajectories in i EGFR /i -mutated NSCLC. Genomic and transcriptomic profiling may facilitate the design of bespoke therapeutic approaches tailored to a tumor's adaptive potential. /
Publisher: American Association for Cancer Research (AACR)
Date: 03-04-2023
DOI: 10.1158/1541-7786.22526391
Abstract: Multiplex immunofluorescence staining quantification by Visiopharm Image Analytical System. DAPI nuclei were segmented defining the areas. Then each marker was quantified within this DAPI area. MPP4 low (MelR062) and MPP4 high (MelR166) phenotypes are represented.
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/1078-0432.22480718
Abstract: Supplementary Data from Integrative Profiling of T790M-Negative EGFR-Mutated NSCLC Reveals Pervasive Lineage Transition and Therapeutic Opportunities
Publisher: American Association for Cancer Research (AACR)
Date: 14-07-2021
DOI: 10.1158/1078-0432.CCR-20-4607
Abstract: Despite the established role of EGFR tyrosine kinase inhibitors (TKIs) in EGFR-mutated NSCLC, drug resistance inevitably ensues, with a paucity of treatment options especially in EGFRT790M-negative resistance. We performed whole-exome and transcriptome analysis of 59 patients with first- and second-generation EGFR TKI-resistant metastatic EGFR-mutated NSCLC to characterize and compare molecular alterations mediating resistance in T790M-positive (T790M+) and -negative (T790M−) disease. Transcriptomic analysis revealed ubiquitous loss of adenocarcinoma lineage gene expression in T790M− tumors, orthogonally validated using multiplex IHC. There was enrichment of genomic features such as TP53 alterations, 3q chromosomal lifications, whole-genome doubling and nonaging mutational signatures in T790M− tumors. Almost half of resistant tumors were further classified as immunehot, with clinical outcomes conditional on immune cell-infiltration state and T790M status. Finally, using a Bayesian statistical approach, we explored how T790M− and T790M+ disease might be predicted using comprehensive genomic and transcriptomic profiles of treatment-naïve patients. Our results illustrate the interplay between genetic alterations, cell lineage plasticity, and immune microenvironment in shaping ergent TKI resistance and outcome trajectories in EGFR-mutated NSCLC. Genomic and transcriptomic profiling may facilitate the design of bespoke therapeutic approaches tailored to a tumor's adaptive potential.
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.C.6513046.V1
Abstract: Abstract Signaling between cancer and nonmalignant (stromal) cells in the tumor microenvironment (TME) is a key to tumor progression. Here, we deconvoluted bulk tumor transcriptomes to infer cross-talk between ligands and receptors on cancer and stromal cells in the TME of 20 solid tumor types. This approach recovered known transcriptional hallmarks of cancer and stromal cells and was concordant with single-cell, i in situ /i hybridization and IHC data. Inferred autocrine cancer cell interactions varied between tissues but often converged on Ephrin, BMP, and FGFR-signaling pathways. Analysis of immune checkpoints nominated interactions with high levels of cancer-to-immune cross-talk across distinct tumor types. Strikingly, PD-L1 was found to be highly expressed in stromal rather than cancer cells. Overall, our study presents a new resource for hypothesis generation and exploration of cross-talk in the TME. Significance: This study provides deconvoluted bulk tumor transcriptomes across multiple cancer types to infer cross-talk in the tumor microenvironment. /
Publisher: American Association for Cancer Research (AACR)
Date: 03-04-2023
DOI: 10.1158/1541-7786.C.6545076.V1
Abstract: Abstract Treatment for metastatic melanoma includes targeted and/or immunotherapy. Although many patients respond, only a subset has complete response. As late-stage patients often have multiple tumors in difficult access sites, non-invasive techniques are necessary for the development of predictive rognostic biomarkers. PET/CT scans from 52 patients with stage III/IV melanoma were assessed and CT image parameters were evaluated as prognostic biomarkers. Analysis indicated patients with high standard deviation or high mean of positive pixels (MPP) had worse progression-free survival ( i P /i = 0.00047 and i P /i = 0.0014, respectively) and worse overall survival ( i P /i = 0.0223 and i P /i = 0.0465, respectively). Whole-exome sequencing showed high MPP was associated with i BRAF /i mutation status ( i P /i = 0.0389). RNA-sequencing indicated patients with immune “cold” signatures had worse survival, which was associated with CT biomarker, MPP4 ( i P /i = 0.0284). Multiplex immunofluorescence confirmed a correlation between CD8 expression and image biomarkers ( i P /i = 0.0028). Implications: CT parameters have the potential to be cost-effective biomarkers of survival in melanoma, and reflect the tumor immune-microenvironment. /
Publisher: American Association for Cancer Research (AACR)
Date: 03-04-2023
DOI: 10.1158/1541-7786.22526394
Abstract: The association between TMB and SD3/MPP4 is not statistically significant. A. MPP4, not significant, Fisher's exact. B. SD3, not significant, Fisher's exact.
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/1078-0432.22480718.V1
Abstract: Supplementary Data from Integrative Profiling of T790M-Negative EGFR-Mutated NSCLC Reveals Pervasive Lineage Transition and Therapeutic Opportunities
Publisher: Elsevier BV
Date: 08-2018
Publisher: American Association for Cancer Research (AACR)
Date: 03-04-2023
DOI: 10.1158/1541-7786.22526388.V1
Abstract: Table S1. Patient Characteristics. AJCC: American Joint Committee on Cancer Table S2. Clinical information including histology, stage and survival. Table S3. Univariate analysis of clinico-pathological and CT features. Log-rank (Mantel-Cox) test to determine optimal cut-offs for low/high groups. Table S4. RNAseq immune genes for multiplex analysis.
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/1078-0432.22480715
Abstract: Supplementary Data from Integrative Profiling of T790M-Negative EGFR-Mutated NSCLC Reveals Pervasive Lineage Transition and Therapeutic Opportunities
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22428511.V1
Abstract: Supplementary Tables
Publisher: American Association for Cancer Research (AACR)
Date: 03-04-2023
DOI: 10.1158/1541-7786.22526394.V1
Abstract: The association between TMB and SD3/MPP4 is not statistically significant. A. MPP4, not significant, Fisher's exact. B. SD3, not significant, Fisher's exact.
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22428511
Abstract: Supplementary Tables
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.C.6513046
Abstract: Abstract Signaling between cancer and nonmalignant (stromal) cells in the tumor microenvironment (TME) is a key to tumor progression. Here, we deconvoluted bulk tumor transcriptomes to infer cross-talk between ligands and receptors on cancer and stromal cells in the TME of 20 solid tumor types. This approach recovered known transcriptional hallmarks of cancer and stromal cells and was concordant with single-cell, i in situ /i hybridization and IHC data. Inferred autocrine cancer cell interactions varied between tissues but often converged on Ephrin, BMP, and FGFR-signaling pathways. Analysis of immune checkpoints nominated interactions with high levels of cancer-to-immune cross-talk across distinct tumor types. Strikingly, PD-L1 was found to be highly expressed in stromal rather than cancer cells. Overall, our study presents a new resource for hypothesis generation and exploration of cross-talk in the TME. Significance: This study provides deconvoluted bulk tumor transcriptomes across multiple cancer types to infer cross-talk in the tumor microenvironment. /
Publisher: American Association for Cancer Research (AACR)
Date: 03-04-2023
DOI: 10.1158/1541-7786.22526397
Abstract: Kaplan-Meier (log-rank) analysis of MPP4 and SD3 showing the PFS and OS for stage III patients only. a. PFS for MPP4, **p=0.0017, b. OS for MPP4, *p=0.0117, c. PFS for SD3, ***p=0.0003 and d. OS for SD3, **p=0.0094.
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/1078-0432.22480712
Abstract: Supplementary Data from Integrative Profiling of T790M-Negative EGFR-Mutated NSCLC Reveals Pervasive Lineage Transition and Therapeutic Opportunities
Publisher: Springer Science and Business Media LLC
Date: 07-04-2016
Publisher: American Association for Cancer Research (AACR)
Date: 02-04-2021
DOI: 10.1158/1541-7786.MCR-20-1038
Abstract: CT parameters have the potential to be cost-effective biomarkers of survival in melanoma, and reflect the tumor immune-microenvironment.
Publisher: American Association for Cancer Research (AACR)
Date: 05-02-2021
DOI: 10.1158/0008-5472.CAN-20-2352
Abstract: This study provides deconvoluted bulk tumor transcriptomes across multiple cancer types to infer cross-talk in the tumor microenvironment.
Publisher: Spandidos Publications
Date: 31-03-2016
Abstract: ErbB4 can act as either a tumor-suppressor gene or an oncogene in breast cancer. Multiple genetic factors including single nucleotide polymorphisms (SNPs) affect gene expression patterns. Multiple 3'-untranslated region (3'-UTR) SNPs reside within the target binding site of microRNAs, which can strengthen or weaken binding to target genes. The present study aimed to predict potential 3'‑UTR variants of ErbB4 that alter the target binding site of microRNAs (miRNAs) and to clarify the association of the potential variant with the risk of developing breast cancer. In silico prediction was performed to identify potential functional SNPs within miRNA target binding sites in the 3'‑UTR of ErbB4. Thus, 146 patients and controls were genotyped using restriction fragment length polymorphism-polymerase chain reaction. In addition to the Cochran-Armitage test for trend, allele and genotype frequency differences were determined to investigate the association between rs1836724 and the susceptibility to breast cancer. Bioinformatics analysis identified rs1836724 to be a polymorphism in the seed region of four miRNA binding sites (hsa-miR335-5p, hsa-miR-28-5p, has‑miR‑708‑5p and has‑miR‑665), which may participate in the development of breast cancer. Logistic regression data indicated that the T allele of the polymorphism [OR (95% CI)=1.72 (1.056‑2.808), P=0.029] is associated with the risk of breast cancer. Using bioinformatics tools, a correlation was indicated between the presence of the T allele and a reduction in ErbB4 RNA silencing based on miRNA interaction. Furthermore, case subgroup data analysis revealed an association between the C/T genotype and an ER positive phenotype [OR (95% CI)=6.00 (1.082‑33.274), P=0.028] compared with the T/T genotype. ErbB4 and estrogen receptor 1 (ESR1) are regulated by identical miRNAs thus there may be a competition for binding sites. Due to this pattern, if the interaction between miRNAs with one gene is reduced, it may be consistent with the increase in interaction with another one. Therefore, more interaction with rs1836724 C variant within ErbB4 may be associated with higher expression of ESR1 (ER‑positive phenotype). miRNAs interact with ErbB4 mRNA more frequently when it carries C allele at the rs1836724 position compared with the T carriers. Therefore, the identical miRNA interacts with ESR1 less frequently when ErbB4 mRNA has a C allele. Therefore, ESR1 expression may be higher when ErbB4 mRNA has a C allele.
Publisher: Cold Spring Harbor Laboratory
Date: 08-11-2019
DOI: 10.1101/835512
Abstract: Signaling between cancer and nonmalignant (stromal) cells in the tumor microenvironment (TME) is key to tumorigenesis yet challenging to decipher from tumor transcriptomes. Here, we report an unbiased, data-driven approach to deconvolute bulk tumor transcriptomes and predict crosstalk between ligands and receptors on cancer and stromal cells in the TME of 20 solid tumor types. Our approach recovers known transcriptional hallmarks of cancer and stromal cells and is concordant with single-cell and immunohistochemistry data, underlining its robustness. Pan-cancer analysis reveals previously unrecognized features of cancer-stromal crosstalk. We find that autocrine cancer cell cross-talk varied between tissues but often converged on known cancer signaling pathways. In contrast, many stromal cross-talk interactions were highly conserved across tumor types. Interestingly, the immune checkpoint ligand PD-L1 was overexpressed in stromal rather than cancer cells across all tumor types. Moreover, we predicted and experimentally validated aberrant ligand and receptor expression in cancer cells of basal and luminal breast cancer, respectively. Collectively, our findings validate a data-driven method for tumor transcriptome deconvolution and establishes a new resource for hypothesis generation and downstream functional interrogation of the TME in tumorigenesis and disease progression.
Publisher: Elsevier BV
Date: 08-2014
DOI: 10.1016/J.COMPBIOLCHEM.2014.05.002
Abstract: Aspirin (ASA) is a commonly used nonsteroidal anti-inflammatory drug (NSAID), which exerts its therapeutic effects through inhibition of cyclooxygenase (COX) isoform 2 (COX-2), while the inhibition of COX-1 by ASA leads to apparent side effects. In the present study, the relationship between COX-1 non-synonymous single nucleotide polymorphisms (nsSNPs) and aspirin related side effects was investigated. The functional impacts of 37 nsSNPs on aspirin inhibition potency of COX-1 with COX-1/aspirin molecular docking were computationally analyzed, and each SNP was scored based on DOCK Amber score. The data predicted that 22 nsSNPs could reduce COX-1 inhibition, while 15 nsSNPs showed increasing inhibition level in comparison to the regular COX-1 protein. In order to perform a comparing state, the Amber scores for two Arg119 mutants (R119A and R119Q) were also calculated. Moreover, among nsSNP variants, rs117122585 represented the closest Amber score to R119A mutant. A separate docking computation validated the score and represented a new binding position for ASA that acetyl group was located within the distance of 3.86Å from Ser529 OH group. This could predict an associated loss of activity of ASA through this nsSNP variant. Our data represent a computational sub-population pattern for aspirin COX-1 related side effects, and provide basis for further research on COX-1/ASA interaction.
Publisher: Mary Ann Liebert Inc
Date: 12-2014
No related grants have been discovered for Marjan Mojtabavi Naeini.