Establish Relevant Gene Network for Ovarian Cancer Chemotherapy Response Based on Gene Clique Research

2013 ◽  
Vol 29 (9) ◽  
pp. 681
Author(s):  
Yan'e LI ◽  
Bin HAN ◽  
Lihua LI ◽  
Lei ZHU
Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1420
Author(s):  
Sweta Sharma Saha ◽  
Lucy Gentles ◽  
Alice Bradbury ◽  
Dominik Brecht ◽  
Rebecca Robinson ◽  
...  

Defective DNA damage response (DDR) pathways are enabling characteristics of cancers that not only can be exploited to specifically target cancer cells but also can predict chemotherapy response. Defective Homologous Recombination Repair (HRR) function, e.g., due to BRCA1/2 loss, is a determinant of response to platinum agents and PARP inhibitors in ovarian cancers. Most chemotherapies function by either inducing DNA damage or impacting on its repair but are generally used in the clinic unselectively. The significance of HRR and other DDR pathways in determining response to several other chemotherapy drugs is not well understood. In this study, the genomic, transcriptomic and functional analysis of DDR pathways in a panel of 14 ovarian cancer cell lines identified that defects in DDR pathways could determine response to several chemotherapy drugs. Carboplatin, rucaparib, and topotecan sensitivity were associated with functional loss of HRR (validated in 10 patient-derived primary cultures) and mismatch repair. Two DDR gene expression clusters correlating with treatment response were identified, with PARP10 identified as a novel marker of platinum response, which was confirmed in The Cancer Genome Atlas (TCGA) ovarian cancer cohort. Reduced non-homologous end-joining function correlated with increased sensitivity to doxorubicin, while cells with high intrinsic oxidative stress showed sensitivity to gemcitabine. In this era of personalised medicine, molecular/functional characterisation of DDR pathways could guide chemotherapy choices in the clinic allowing specific targeting of ovarian cancers.


2015 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Christopher G. Hill ◽  
John F. McDonald

The molecular basis of cancer is not merely the consequence of structural and/or regulatory mutations in genes, but additionally to disruptions in networks of regulatory interactions existing among these genes and other components of the genome. Disruptions in network relationships may manifest as the loss, gain or reversal of functionally significant interactive gene relationships in cancer cells. In this study, we first employ an unsupervised (Pearson correlation) approach to quantitatively estimate the overall change in network relationships between precursor (control) ovarian surface epithelial cells and ovarian cancer epithelial cells. We find that ovarian cancer cells display a significant overall reduction in correlated gene network interactions relative to normal precursor cells reflective of an overall loss of regulatory control.  We next focus on gene relationships that qualitatively change between normal and cancer samples. We find that biological processes significantly over represented among differentially expressed genes are substantially different from those associated with genes involved in qualitatively disrupted network interactions. Our findings provide novel insights into the processes underlying ovarian cancer and identify a potential new class of genes for targeted therapy.


Author(s):  
Inna I. Antoneeva ◽  
Tatyana V. Abakumova ◽  
Dinara R. Dolgova ◽  
Tatyana P. Gening ◽  
Sabina S. Pirmamedova ◽  
...  

2016 ◽  
Vol 15 ◽  
pp. CIN.S40660 ◽  
Author(s):  
Alexandros Laios ◽  
Davide Volpi ◽  
Rajeev Kumar ◽  
Zoe Traill ◽  
Borivoj Vojnovic ◽  
...  

In patients with advanced ovarian cancer (AOC), additional imaging of disseminated disease at laparoscopy could complement conventional imaging for estimation of chemotherapy response. We developed an image segmentation method and evaluated its use in making accurate and objective measurements of peritoneal metastases in comparison to Response Evaluation Criteria In Solid Tumors (RECIST) criteria. A software tool using a custom ImageJ macro-based approach was employed to estimate lesion size by converting image pixels into unit length. The software tool was tested as a proof-of-principle in an AOC patient with two isolated peritoneal deposits. Image analysis of representative laparoscopic snapshots before and after three cycles of neoadjuvant chemotherapy (NACT) revealed an average tumor nodule response ratio (TNRR) of 40% (partial response), which was in concordance with RECIST evaluation by computed tomography (CT). We demonstrated the feasibility of using this novel anatomical analysis for direct assessment of chemotherapy response in an AOC patient as an adjunct to RECIST criteria.


2007 ◽  
Vol 104 (2) ◽  
pp. 345-351 ◽  
Author(s):  
S.A. O'Toole ◽  
B.L. Sheppard ◽  
A. Laios ◽  
J.J. O'Leary ◽  
E.P.J. McGuinness ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document