Faculty Opinions recommendation of A precision therapy against cancers driven by KIT/PDGFRA mutations.

Author(s):  
Richard Riedel
Keyword(s):  
2020 ◽  
Vol 17 (2) ◽  
pp. 104-113
Author(s):  
G.K. Udayaraja ◽  
I. Arnold Emerson

Background: The Human Genome Project has unleashed the power of genomics in clinical practice as a choice of individualized therapy, particularly in cancer treatment. Pharmacogenomics is an interdisciplinary field of genomics that deals with drug response, based on individual genetic makeup. Objective: The main genetic events associated with carcinogenesis activate oncogenes or inactivate tumor-suppressor genes. Therefore, drugs should be specific to inactivate or regulate these mutant genes and their protein products for effective cancer treatment. In this review, we summarize how polymedication decisions in cancer treatments based on the evaluation of cytochrome P450 (CYP450) polymorphisms are applied for pharmacogenetic assessment of anticancer therapy outcomes. Results: However, multiple genetic events linked, inactivating a single mutant gene product, may be insufficient to inhibit tumor progress. Thus, genomics and pharmacogenetics directly influence a patient’s response and aid in guiding clinicians to select the safest and most effective combination of medications for a cancer patient from the initial prescription. Conclusion: This review outlines the roles of oncogenes, the importance of cytochrome P450 (CYP450) in cancer susceptibility, and its impact on drug metabolism, proposing combined approaches to achieve precision therapy.


Pharmaceutics ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 853
Author(s):  
Binita Shrestha ◽  
Lijun Wang ◽  
Eric M. Brey ◽  
Gabriela Romero Uribe ◽  
Liang Tang

Cancer is a heterogeneous and complex disease. Traditional cancer therapy is associated with low therapeutic index, acquired resistance, and various adverse effects. With the increasing understanding of cancer biology and technology advancements, more strategies have been exploited to optimize the therapeutic outcomes. The rapid development and application of nanomedicine have motivated this progress. Combinational regimen, for instance, has become an indispensable approach for effective cancer treatment, including the combination of chemotherapeutic agents, chemo-energy, chemo-gene, chemo-small molecules, and chemo-immunology. Additionally, smart nanoplatforms that respond to external stimuli (such as light, temperature, ultrasound, and magnetic field), and/or to internal stimuli (such as changes in pH, enzymes, hypoxia, and redox) have been extensively investigated to improve precision therapy. Smart nanoplatforms for combinational therapy have demonstrated the potential to be the next generation cancer treatment regimen. This review aims to highlight the recent advances in smart combinational therapy.


Life ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 522
Author(s):  
Dehua Liu ◽  
Chenyu Sun ◽  
Nahyun Kim ◽  
Chandur Bhan ◽  
John Pocholo Whitaker Tuason ◽  
...  

Gastric cancer (GC) is the fifth most common cancer globally. Secreted frizzled-related proteins (SFRP) are important elements associated with the Wnt signaling pathway, and its dysregulated expression is found in multiple cancers. However, the function of distinct SFRPs in GC remains poorly understood. We investigated the differential expression, prognostic value, and immune cell infiltration of SFRPs in gastric cancer patients from the Oncomine, Gene Expression Profiling Interactive Analysis (GEPIA), UALCAN, Kaplan–Meier plotter, cBioPortal, STRING, Gene-MANIA, DAVID, MethSurv, and TIMER databases. We found that the expression levels of SFRP2 and SFRP4 were significantly increased in GC tissues, whereas the SFRP1 and SFRP5 expressions were reduced. SFRP1, SFRP2, and SFRP5 were significantly correlated with the clinical cancer stage in GC patients. Higher expression of SFRPs was associated with short overall survival (OS) in GC patients. Besides, high SFRPs methylation showed favorable OS in GC patients. The functions of SFRPs were primarily related to the Wnt signaling pathway, immune system development, and basal cell carcinoma. The expression of SFRPs was strongly correlated with immune infiltrating cells, including CD4+ T cells and macrophages in GC. Our study indicated that SFRPs could be potential targets of precision therapy and prognostic biomarkers for the survival of GC patients.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Michael Kenn ◽  
Dan Cacsire Castillo-Tong ◽  
Christian F. Singer ◽  
Rudolf Karch ◽  
Michael Cibena ◽  
...  

AbstractCorrectly estimating the hormone receptor status for estrogen (ER) and progesterone (PGR) is crucial for precision therapy of breast cancer. It is known that conventional diagnostics (immunohistochemistry, IHC) yields a significant rate of wrongly diagnosed receptor status. Here we demonstrate how Dempster Shafer decision Theory (DST) enhances diagnostic precision by adding information from gene expression. We downloaded data of 3753 breast cancer patients from Gene Expression Omnibus. Information from IHC and gene expression was fused according to DST, and the clinical criterion for receptor positivity was re-modelled along DST. Receptor status predicted according to DST was compared with conventional assessment via IHC and gene-expression, and deviations were flagged as questionable. The survival of questionable cases turned out significantly worse (Kaplan Meier p < 1%) than for patients with receptor status confirmed by DST, indicating a substantial enhancement of diagnostic precision via DST. This study is not only relevant for precision medicine but also paves the way for introducing decision theory into OMICS data science.


2021 ◽  
Vol 22 (9) ◽  
Author(s):  
Gerald C. Wallace ◽  
Madeleine Tjoelker ◽  
Kaitlyn Bartley ◽  
John W. Henson

2016 ◽  
Vol 45 (5) ◽  
pp. 1432-1456 ◽  
Author(s):  
Zhibo Liu ◽  
Xiaoyuan Chen

Albumin is the most abundant circulating protein in plasma and has recently emerged as a versatile protein carrier for drug targeting and for improving the pharmacokinetic profile of peptide or protein based drugs.


Cancer Cell ◽  
2021 ◽  
Vol 39 (6) ◽  
pp. 745-747
Author(s):  
David J. McConkey ◽  
Nirmish Singla ◽  
Phillip Pierorazio ◽  
Kara Lombardo ◽  
Andres Matoso ◽  
...  

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 10514-10514
Author(s):  
Sarah M. Nielsen ◽  
Joline Dalton ◽  
Kathryn E. Hatchell ◽  
Stacey DaCosta Byfield ◽  
Chad Moretz ◽  
...  

10514 Background: Colorectal cancer (CRC) affects approximately 104,000 patients (pts) annually in the United States, up to 45% of which are estimated to be genetic and/or familial. Aligned with clinical guidelines, in 2020, a large U.S. insurer established Medical Policy allowing for and reimbursing germline genetic testing (GGT) for all CRC pts. This study reports overall uptake of GGT in CRC pts under this inclusive policy, actionable findings and treatment implications for pts tested, stratified by self-reported ancestry/ethnicity. Methods: Two independent de-identified datasets were reviewed, including administrative claims data of commercially insured and Medicare Advantage enrollees, aged 18+ with CRC (≥1 claim with ICD10 C18, C19 or C20 in the first position) who were continuously enrolled (CE) in the health plan from 1/2019-10/2020. Evidence of genetic testing based on CPT codes, was examined during 2020. A second de-identified dataset of CRC pts whose GGT was billed to the insurer under the Medical Policy, was also reviewed. Patient demographics, clinical information and GGT results were descriptively analyzed. Results: Of the >18,000,000 CE enrollees, 55,595 were identified as CRC pts, of whom 1,675 (3%) received GGT. From the GGT dataset, 788 pts had test results available for review. 143 (18%) pts had pathogenic/likely pathogenic (P/LP) variants in genes including MSH2, MLH1, PMS2, MSH6, CHEK2, APC, BRCA2, ATM, MUTYH (biallelic). Of pts with P/LP variants, 96 (67%) were potentially eligible for precision therapy and/or clinical treatment trials. Overall, 133 (93%) had P/LP variants in genes with precision therapy, clinical trial and/or published management implications. In a subset of pts (n=674) with ethnicity data; Asian, Black/African-American and Hispanic pts showed lower relative uptake of germline testing than Caucasians (Table). Conclusions: Despite Medical Policy allowing for GGT for all pts with CRC, only 3% of eligible pts received testing. If all CRC pts had been tested, these data suggest up to 6,705 pts with P/LP variants conferring potential eligibility for precision therapy (PD-1/PD-L1 inhibitors) or clinical treatment trials (PARP inhibitors), and an additional 2,602 pts with mutations in genes with published management recommendations, could have been identified, but were missed. Additional research is needed to identify obstacles to systematic implementation of this Medical Policy, the best timing of GGT to prevent CRC and improve access to underrepresented populations. CRC patients with germline genetic testing.[Table: see text]


2021 ◽  
Author(s):  
Abhijit Duggal ◽  
Rachel kast ◽  
Emily Van Ark ◽  
Lucas Bulgarelli ◽  
Matthew Siuba ◽  
...  

Rationale: The acute respiratory distress syndrome (ARDS) is a heterogenous condition, and identification of subphenotypes may help in better risk stratification. Objectives: Identify ARDS subphenotypes using new simpler methodology and readily available clinical variables. Design: Retrospective Cohort Study of ARDS trials. Setting: Data from the U.S. ARDSNet trials and from the international ART trial. Participants: 3763 patients from ARDSNet datasets and 1010 patients from the ART dataset. Primary and secondary outcome measures: The primary outcome was 60-day or 28-day mortality, depending on what was reported in the original trial. K-means cluster analysis was performed to identify subgroups. For feature selection, sets. Sets of candidate variables were tested to assess their ability to produce different probabilities for mortality in each cluster. Clusters were compared to biomarker data, allowing identification of subphenotypes. Results: Data from 4,773 patients was analyzed. Two subphenotypes (A and B) resulted in optimal separation in the final model, which included nine routinely collected clinical variables, namely: heart rate, mean arterial pressure, respiratory rate, bilirubin, bicarbonate, creatinine, PaO2, arterial pH, and FiO2. Participants in subphenotype B showed increased levels of pro-inflammatory markers, had consistently higher mortality, lower number of ventilator-free days at day 28, and longer duration of ventilation compared to patients in the subphenotype A. Conclusions: Routinely available clinical data can successfully identify two distinct subphenotypes in adult ARDS patients. This work may facilitate implementation of precision therapy in ARDS clinical trials.


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