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1                                              HGSOC spreads when single cells and spheroids detach, fl
2                                              HGSOC tumors exhibit genomic instability with frequent a
3 an interval to diagnosis of 9 (TNBC) and 10 (HGSOC) years.
4  is associated with shorter survival in 1000 HGSOC patients.
5 tion, we used bulk RNA-seq data covering 342 HGSOC patients from The Cancer Genome Atlas (TCGA) and d
6  exhibits in vivo single agent efficacy in a HGSOC-PDX with reduced sensitivity to PARPi by overcomin
7 need to understand antitumor immunity across HGSOC sites.
8 vironment in STICs that persists in advanced HGSOC.
9 he tumor-immune microenvironment of advanced HGSOC is intrinsically heterogeneous and that chemothera
10 ral anticancer activities, including against HGSOC, but has limited use in vivo.
11  alterations (SCNAs) in frequently amplified HGSOC cancer genes significantly correlate with gene exp
12 ival pathway in the context of MYC-amplified HGSOC is statistically associated with increased prevale
13 s molecular subtyping of prostate cancer and HGSOC with commonly used sample annotation tools in a si
14 ed to address the challenges of prostate and HGSOC molecular classification.
15 informatics training to explore prostate and HGSOC transcriptional data without the need for extensiv
16 oncogenic p53 mutations in LPA signaling and HGSOC progression through regulation of ACP6 expression.
17 s with time-to-disease progression (TTP) and HGSOC transcriptomic profiles (Classification of Ovarian
18                                         Both HGSOC cell lines are cisplatin resistant, and we used er
19 ors from patients with PARPi-resistant BRCAm HGSOC, and high coexpression of DHX9 and AKT1 correlated
20 th PARPi-sensitive and PARPi-resistant BRCAm HGSOC.
21 roach to overcome CHK1i resistance in BRCAwt HGSOC.
22                        We report that BRCAwt HGSOC develops resistance to prexasertib monotherapy via
23 ertib monotherapy in BRCA wild-type (BRCAwt) HGSOC patients.
24 he accumulation of HBA metabolites caused by HGSOC was also associated with reduced expression of suc
25 , a chemokine receptor commonly expressed by HGSOC cells.
26 tly reported that Elafin is overexpressed by HGSOC and is associated with poor overall survival.
27 ients with high-grade serous ovarian cancer (HGSOC) and 100 control patients with benign or non-neopl
28 h advanced high-grade serous ovarian cancer (HGSOC) and is associated with drug resistance and a poor
29 notypes of high-grade serous ovarian cancer (HGSOC) and to evaluate CT indicators of cytoreductive ou
30 omen, with high-grade serous ovarian cancer (HGSOC) being the most common and lethal subtype of this
31  genes for high-grade serous ovarian cancer (HGSOC) by performing a transcriptome-wide association st
32  OVSAHO, a high-grade serous ovarian cancer (HGSOC) cell line.
33 pressed in high-grade serous ovarian cancer (HGSOC) cell lines compared with normal cells-ovarian sur
34  simulated high-grade serous ovarian cancer (HGSOC) datasets, smoothed ST slides have better separabi
35 ients with high-grade serous ovarian cancer (HGSOC) from the Australian Ovarian Cancer Study to evalu
36            High grade serous ovarian cancer (HGSOC) is a fatal gynecologic malignancy in the U.S. wit
37            High-grade serous ovarian cancer (HGSOC) is a highly lethal gynecologic malignancy in wome
38            High-grade serous ovarian cancer (HGSOC) is an archetypal cancer of genomic instability(1-
39            High grade serous ovarian cancer (HGSOC) is an exemplar tumour type showing extreme, but p
40            High-grade serous ovarian cancer (HGSOC) is one of the deadliest cancers for women, with a
41 eatment of high-grade serous ovarian cancer (HGSOC) is the development of progressive resistance to p
42            High grade serous ovarian cancer (HGSOC) is the fifth leading cause of cancer deaths among
43 origin for high grade serous ovarian cancer (HGSOC) led to a new perspective on the biology and thera
44 lopment of high-grade serous ovarian cancer (HGSOC) may define the molecular basis of the profound st
45 cated that high-grade serous ovarian cancer (HGSOC) originates in the fallopian tube, where the earli
46 ely 30% of high-grade serous ovarian cancer (HGSOC) patients and is a recurrent lesion in uterine car
47  recurrent high-grade serous ovarian cancer (HGSOC) patients in which we assessed epigenome-wide asso
48  from >100 high-grade serous ovarian cancer (HGSOC) samples, primarily from a phase II clinical trial
49 e of human high-grade serous ovarian cancer (HGSOC) should not only resemble its tumour of origin at
50 nalyses of high-grade serous ovarian cancer (HGSOC) so far have not uncovered potential drug targets,
51 esponse of high grade serous ovarian cancer (HGSOC) to neoadjuvant chemotherapy (NACT).
52 ients with high-grade serous ovarian cancer (HGSOC)(1).
53            High-grade serous ovarian cancer (HGSOC), a high-risk, poor prognosis ovarian cancer subty
54 ients with high grade serous ovarian cancer (HGSOC), addition of the ATR inhibitor berzosertib to gem
55 eatures of high-grade serous ovarian cancer (HGSOC), to assess their associations with time-to-diseas
56  (NACT) in high-grade serous ovarian cancer (HGSOC), we performed immunogenomic analysis of treatment
57 changes in high-grade serous ovarian cancer (HGSOC), we performed whole genome sequencing on a rare c
58 high-grade serous epithelial ovarian cancer (HGSOC).
59 those with high-grade serous ovarian cancer (HGSOC).
60 ostate and high-grade serous ovarian cancer (HGSOC).
61 agement of high grade serous ovarian cancer (HGSOC).
62 rtality in high-grade serous ovarian cancer (HGSOC).
63 laparib in high-grade serous ovarian cancer (HGSOC).
64 ients with high-grade serous ovarian cancer (HGSOC).
65 s from BRCA1/BRCA2-associated breast cancer, HGSOC, and PaC were developed and evaluated for their re
66      Most high grade serous ovarian cancers (HGSOC) originate in the fallopian tube but spread to the
67           High-grade serous ovarian cancers (HGSOC) represent the most common subtype of ovarian mali
68 TIC) into high-grade serous ovarian cancers (HGSOC).
69         High-grade serous ovarian carcinoma (HGSOC) accounts for most ovarian cancer cases, and it is
70         High grade serous ovarian carcinoma (HGSOC) accounts for ~ 70% of ovarian cancer cases.
71         High-grade serous ovarian carcinoma (HGSOC) and basal-like breast cancer (BLBC) share many fe
72 ival of high grade serous ovarian carcinoma (HGSOC) cells by repressing expression of Death Receptors
73 te that high-grade serous ovarian carcinoma (HGSOC) contains distinct immune aggregates with varying
74         High-grade serous ovarian carcinoma (HGSOC) is a cancer with dismal prognosis due to the limi
75         High grade serous ovarian carcinoma (HGSOC) is a highly heterogeneous disease that typically
76         High-grade serous ovarian carcinoma (HGSOC) is a lethal disease for which improved screening
77         High-grade serous ovarian carcinoma (HGSOC) is a molecularly heterogeneous and lethal maligna
78         High-grade serous ovarian carcinoma (HGSOC) is characterised by poor outcome and extreme chro
79 ture of high-grade serous ovarian carcinoma (HGSOC) is frequent amplification of the 3q26 locus harbo
80         High-grade serous ovarian carcinoma (HGSOC) is genetically unstable and characterised by the
81         High-grade serous ovarian carcinoma (HGSOC) is the most aggressive type of ovarian cancer, of
82         High-grade serous ovarian carcinoma (HGSOC) is the most common and aggressive form of epithel
83         High-grade serous ovarian carcinoma (HGSOC) is the most frequent type of ovarian cancer and h
84         High-grade serous ovarian carcinoma (HGSOC) is the most genomically complex cancer, character
85         High-grade serous ovarian carcinoma (HGSOC) is the most lethal gynecologic malignancy in indu
86         High-grade serous ovarian carcinoma (HGSOC) is the most lethal gynecological cancer with few
87         High-grade serous ovarian carcinoma (HGSOC) is the predominant and most lethal form of ovaria
88 igin of high grade serous ovarian carcinoma (HGSOC) remains controversial, with fallopian tube epithe
89 sistant high-grade serous ovarian carcinoma (HGSOC) with measurable and biopsiable disease (cohort 5)
90 ypes of high-grade serous ovarian carcinoma (HGSOC), but their interpretation and translation are com
91         High-grade serous ovarian carcinoma (HGSOC), the deadliest form of ovarian cancer, is typical
92         High-grade serous ovarian carcinoma (HGSOC), the most lethal gynecological cancer, often lead
93 totype, high-grade serous ovarian carcinoma (HGSOC), while p53 mutations are much less frequent in ot
94 ence in high-grade serous ovarian carcinoma (HGSOC), with the loss of the tumour suppressor PTEN in H
95 ture of high-grade serous ovarian carcinoma (HGSOC).
96 ent for high-grade serous ovarian carcinoma (HGSOC).
97 agnosed high-grade serous ovarian carcinoma (HGSOC).
98 ment of high-grade serous ovarian carcinoma (HGSOC).
99 vity is high-grade serous ovarian carcinoma (HGSOC).
100 ity of high-grade serous ovarian carcinomas (HGSOC) provide the necessary context to study the mechan
101 d from high-grade serous ovarian carcinomas (HGSOC), an aggressive cancer characterized by ubiquitous
102         In addition to such genetic changes, HGSOC is characterized by altered metabolism, including
103 hat could improve outcomes in chemoresistant HGSOC.
104 RNA sequencing in pre- and post-chemotherapy HGSOC sample pairs from 11 patients, and in fallopian tu
105                                    Comparing HGSOC tumors with normal fallopian tube tissues we obser
106 y of homologous recombination (HR)-deficient HGSOC tumors to platinum-based chemotherapy.
107 py in combination with PARPi in HR-deficient HGSOC and also as a single agent for the treatment of re
108 gous recombination (HR) DNA repair-deficient HGSOC-patient-derived xenograft (PDX) in vivo.
109 a therapeutic vulnerability in PTEN-depleted HGSOC.
110 rin signaling pathway as critical to dormant HGSOC cell survival.
111 ly describe the mutational landscape driving HGSOC, exploiting a large (N = 324), deeply whole genome
112 he effects of MRCKA knockdown in established HGSOC cell lines demonstrated that MRCKA was integral to
113 revalent signature consisting of established HGSOC driver kinases, as well as several kinases previou
114 ntiate the immunogenicity of immune-excluded HGSOC tumors.
115  genome-wide association study available for HGSOC (N = 13,037 cases and 40,941 controls).
116 d demonstrates that this is not the case for HGSOC.
117 ng 23 new candidate susceptibility genes for HGSOC.
118 he current gold-standard response marker for HGSOC in blood, as well as to disease volume on computed
119 es consensus molecular subtyping methods for HGSOC, including tools like consensusOV, for accurate ov
120  results comport with a dualistic origin for HGSOC and suggest that the cell-of-origin might influenc
121 issal of discrete transcriptome subtypes for HGSOC and replacement by a more realistic model of conti
122 corporates consensus molecular subtyping for HGSOC.
123  potential of eTreg-focused therapeutics for HGSOC and other HRD-related tumors.
124 ase for breast cancer, endocrine therapy for HGSOC has not shown consistently promising results.
125 ial of colforsin daropate as a treatment for HGSOC.
126 of CXCR4 pathway in expression profiles from HGSOC correlated with enrichment of a mutated TP53 gene
127 had significantly lower mortality rates from HGSOC compared with women with the lowest prediagnosis d
128 ptor expression patterns likely modulate how HGSOC cells interact with their local microenvironment.
129 vivo shRNA screen using an established human HGSOC cell line growing either subcutaneously or intrape
130 nscriptomics and genomics suggest that human HGSOC arises from both cell types.
131 otypically, and genomically similar to human HGSOC.
132  alterations and phenotypes similar to human HGSOC.
133 , we use spatial transcriptomics to identify HGSOC subclones and study their association with infiltr
134 sion more effectively than olaparib alone in HGSOC patient-derived xenograft (PDX) models.
135 first comprehensive metabolomics analysis in HGSOC and propose a new set of metabolites as biomarkers
136  spheroid formation and induced apoptosis in HGSOC cells, suggesting that MRCKA may be a promising th
137 ons are present in pre-treatment biopsies in HGSOC and can undergo expansion during chemotherapy, cau
138                                        CA in HGSOC may therefore present a potential driver of tumour
139             However, the prevalence of CA in HGSOC, its relationship to genomic biomarkers of CIN and
140 on of p53 aggregation and chemoresistance in HGSOC cells, we further demonstrated that the overexpres
141  that drives stemness and chemoresistance in HGSOC, suggesting that the miR-181a-SFRP4 axis can be ev
142 nce that structural variants (SV) cluster in HGSOC, but are absent in one ultramutated tumor, providi
143  exhibit allele-specific binding for CTCF in HGSOC and normal fallopian tube secretory epithelium cel
144  lethal replication stress and DNA damage in HGSOC, warranting further clinical development.
145 TORi and CHK1i induces greater cell death in HGSOC cells and in vivo models by causing lethal replica
146 ber losses could contribute to HR defects in HGSOC.
147 low OXPHOS and high OXPHOS tumor deposits in HGSOC patients and to detect their differential response
148 Immunotherapies have had limited efficacy in HGSOC(11-13), highlighting an unmet need to assess how m
149 e FTE that is also ubiquitously expressed in HGSOC where it is an important driver of proliferation,
150 n important regulator of ABCC1 expression in HGSOC.
151                               Fibroblasts in HGSOC metastases expressed TGFBI and stimulated macropha
152 ate by perturbing expression of each gene in HGSOC precursor cells.
153       BRD4 is the 4th most amplified gene in HGSOC, which correlates with poor patients' prognosis.
154 he high degree of subclonal heterogeneity in HGSOC and suggests that subclone-specific ligand and rec
155 oteins of interest (pSTAT3, HGF, and IL6) in HGSOC samples of origin-based cell lines (OVCAR-8, FTSEC
156 gnostic value with potential implications in HGSOC clinical management.
157 of PI3K and cell-cycle pathway inhibitors in HGSOC.
158 e extracellular matrix and tumor invasion in HGSOC.
159 oss-of-function analysis of these kinases in HGSOC cells indicated MRCKA (also known as CDC42BPA) as
160 , a region with frequent copy number loss in HGSOC, these findings suggest that ZC3H18 copy number lo
161  specific early molecular response marker in HGSOC and warrants further investigation in larger cohor
162 vergence and immune resistance mechanisms in HGSOC.
163 ponent of the metastatic microenvironment in HGSOC.
164 w biomarker-based clinical trials of NACT in HGSOC.
165 tion of the same signaling pathway occurs in HGSOC PDXs that are resistant to poly(ADP-ribose) polyme
166 trate that Netrin-1 and -3 overexpression in HGSOC correlates with poor outcome.
167  uncover disease-outcome-related patterns in HGSOC transcriptomes that may reveal novel drug targets.
168 emergence of subclonal tumour populations in HGSOC was associated with the development of resistant d
169 th the loss of the tumour suppressor PTEN in HGSOC being associated with poor prognosis.
170 ial predictive biomarker of NACT response in HGSOC, which suggests that DKI is a promising clinical t
171 nisms of oncogenesis and therapy response in HGSOC.
172 er to characterize their respective roles in HGSOC development.
173 igh-throughput drug combination screening in HGSOC cells.
174                        Functional screens in HGSOC cell lines found evidence of essentiality for thre
175 cytogenetic changes typical of those seen in HGSOC ovarian cancer cell lines and biopsies.
176  family receptors blocks Netrin signaling in HGSOC cells and compromises viability during the dormanc
177 has been a promising therapeutic strategy in HGSOC.
178 ue immune- and cancer cell subpopulations in HGSOC tumor and ascites samples.
179 EAF6 was associated with shorter survival in HGSOC with 1p34.3 amplifications.
180 tment with ceritinib and PARPi synergized in HGSOC cell lines irrespective of HR status, and a combin
181    In addition, PAX8, an important target in HGSOC and a potential miRNA target (from IPA) was epigen
182  kinome has been therapeutically targeted in HGSOC.
183 ial biomarkers and/or therapeutic targets in HGSOC.
184 ned gemcitabine and ATR inhibitor therapy in HGSOC ovarian cancer.
185 for survival after chemotherapy treatment in HGSOC.
186 sable elements remains largely unexplored in HGSOC since conventional short-read sequencing is unable
187  as several kinases previously unexplored in HGSOC.
188 gene expression and splice junction usage in HGSOC-relevant tissue types (N = 2,169) and the largest
189  paclitaxel, the commonest treatment used in HGSOC.
190 bited variable single agent IC(50) values in HGSOC cell lines.
191 5; 95% CI, 1.70-3.23; P < .001) and incident HGSOC (9.4% methylated; HR, 1.93; 95% CI, 1.36-2.73; P <
192 1 methylation and incident TNBC and incident HGSOC were analyzed by Cox proportional hazards regressi
193 ident TNBC and 511 women developing incident HGSOC were matched with cancer-free controls in a nested
194 d in a large proportion of STIC and invasive HGSOC tumors, implicating RNF20/H2Bub1 loss as an early
195 filtrating lymphocytes from freshly isolated HGSOC and NSCLC biopsies.
196 g 34 patients with advanced stage IIIC or IV HGSOC to assess changes in the tumor genome and transcri
197                   Armed with this knowledge, HGSOC treatment was revised to include new agents.
198 ersecting regulatory biofeatures at 17 known HGSOC susceptibility loci in FTSECs (P = 3.8 x 10(-30)),
199                          Therefore, limiting HGSOC research to modeling based on ovarian surface epit
200 ic analysis of 26 ovarian cancer cell lines, HGSOC tumours, immortalized ovarian surface epithelial c
201 diagnosed with early-stage TNBC or localized HGSOC.
202 o a predominantly epithelial and mesenchymal HGSOC tumour cluster.
203 OSE-derived organoids also caused metastatic HGSOC, although with longer latency and lower penetrance
204                                 Molecularly, HGSOC shows high degree of genomic instability associate
205 orter PFS for both patients with BRCA-mutant HGSOC (multiple regression: hazard ratio [HR] = 26.7 P <
206 s differed between patients with BRCA-mutant HGSOC and patients with BRCA wild-type HGSOC.
207 me and survival in patients with BRCA-mutant HGSOC and those with BRCA wild-type HGSOC.
208 orter PFS for both patients with BRCA-mutant HGSOC and those with BRCA wild-type HGSOC.
209 uctive outcome for patients with BRCA-mutant HGSOC, presence of PD in lesser sac (odds ratio [OR] = 2
210                           In treatment-naive HGSOC, we found that immune-cell-excluded and inflammato
211 f canonical Wnt signaling in treatment-naive HGSOC.
212  mutant forms of p53, which occur in >60% of HGSOC, bind and inhibit ERalpha function and confer resi
213 articularly attractive candidate, as ~70% of HGSOC tumors stain positively for ERalpha and there are
214 laparib therapy, we performed an analysis of HGSOC tumors from three patients without germline BRCA1/
215 In this study, we examined the chronology of HGSOC subtype evolution in the context of these factors
216 tein expression, we identified 5 clusters of HGSOC, which validated across two independent patient co
217 -based biomarkers for the early detection of HGSOC and will contribute to the development of new targ
218 us may be early events in the development of HGSOC, and associated with chromosomal instability.
219 r HOXD9 overexpression reveals enrichment of HGSOC risk variants within HOXD9 target genes (P=6 x 10(
220 Lkb1) resulted in successfully generation of HGSOC, albeit with different latencies and pathophysiolo
221                         The heterogeneity of HGSOC, including few shared oncogenic drivers and origin
222 ctrometry, we mapped the kinome landscape of HGSOC tumors from patients and patient-derived xenograft
223                           A vast majority of HGSOC are diagnosed at the late stage of the disease whe
224 zygous loss of RNF20 defines the majority of HGSOC tumors.
225 the need for a fallopian tube-based model of HGSOC, we have developed a system for studying human fal
226 ll as in clinically relevant mouse models of HGSOC post-platinum therapy.
227 human tumours indicates a possible origin of HGSOC either from the fallopian tube or from the ovarian
228  demonstrated that in a unique population of HGSOC cancer cells with cancer stem cell properties, p53
229  fallopian tube cancers may be precursors of HGSOC but evolutionary evidence for this hypothesis has
230 gesting both cell types may be precursors of HGSOC.
231 hat drive the development and progression of HGSOC.
232 reviously inaccessible repetitive regions of HGSOC, including centromeric and transposable element hy
233 esent a framework to predict the response of HGSOC patients to NACT integrating baseline clinical, bl
234 rstand the poor chemoresponse of a subset of HGSOC patients and suggest p53 aggregation as a new mark
235 d immunoreactive and mesenchymal subtypes of HGSOC, which have prognostic implications, reflect the a
236 s study suggests that molecular subtyping of HGSOC based on HR status and RB1 expression may provide
237 opment and mediate genetic susceptibility of HGSOC.
238 sing therapeutic target for the treatment of HGSOC.
239 reas is impeded by our poor understanding of HGSOC pathogenesis.
240 X1778 treatment of platinum-resistant OVCAR3 HGSOC mouse xenografts abrogated tumor growth without ob
241             By fitting to individual patient HGSOC data, our models successfully capture the dynamics
242            Colforsin daropate also prevented HGSOC cells from invading ovarian surface epithelial cel
243 r, in patient-derived xenografts and primary HGSOC tumors, ZC3H18 and E2F4 mRNA levels are positively
244 amples, including three ascites, two primary HGSOC tumors and three patient ascites-derived xenograft
245     Disturbed pathways in BMs versus primary HGSOC constituted a complex network and included the cel
246 well as hippo signaling in normal vs primary HGSOC; valine, leucine, and isoleucine degradation and e
247 als the core archetypes found in progressive HGSOC and shows consistent enrichment of subclones with
248 l series of primary and metastatic/recurrent HGSOC cases.
249                    Subclonality of recurrent HGSOC alterations was evident for proliferative tumors,
250 tion and endocytosis in primary vs recurrent HGSOC; and pathways containing immune driver genes in op
251 xpression signatures in primary and relapsed HGSOC.
252 ctivate ERalpha-SP1 target genes and renders HGSOC markedly more sensitive to endocrine therapy.
253  the antibody based therapy for Pt-resistant HGSOC cell lines.
254 elapse from patients with platinum-sensitive HGSOC recurrence who were treated > 5 years with olapari
255 esis inhibitor GMX1778 strikingly sensitized HGSOC cells to JW-98 treatment.
256 s the potential of deep learning to simplify HGSOC triage and improve early treatment planning by acc
257 ll lines (OVCAR-8, FTSEC) and in early-stage HGSOC patient serum exosome samples using LC/MS-MS and p
258 ghting translational potential in late-stage HGSOC, combined JW-98/GMX1778 treatment of platinum-resi
259  insights into the pathogenesis of low stage HGSOC.
260                                  In summary, HGSOC PDO cultures provide validated genomic models for
261 ells was necessary and sufficient to support HGSOC proliferation, adhesion, migration, and invasion.
262  resistance, metastasis, and recurrence than HGSOC.
263 cer research is based on the hypothesis that HGSOC arises from ovarian surface epithelial cells.
264                       It has been shown that HGSOC subtype II epithelial ovarian cancer accounts for
265          To comprehensively characterize the HGSOC ascites ecosystem, we used single-cell RNA sequenc
266 NBC group and 3493 cases and controls in the HGSOC group, respectively, 7 (0.3%) and 3 (0.1%) were Am
267                     Here, we report that the HGSOC tumor-mesothelial niche was hypoxic, and hypoxic s
268 or this network in genetic susceptibility to HGSOC.
269 sed on signaling pathways that are unique to HGSOC, both of which could improve the outcome for women
270 veloped as an effective drug target to treat HGSOC derived from both the OSE and FTE.
271 ombined with conventional therapies to treat HGSOC.
272 e with established peritoneal disease in two HGSOC syngeneic models and progression-free survival in
273 f incomplete cytoreduction in BRCA wild-type HGSOC (multiple regression: P < .001 each CT feature).
274 26.7 P < .001) and those with BRCA wild-type HGSOC (univariate analysis: reader 1, HR = 2.42, P < .00
275  with BRCA mutant and 75 with BRCA wild-type HGSOC) who underwent CT before primary debulking.
276 A-mutant HGSOC and those with BRCA wild-type HGSOC.
277 A-mutant HGSOC and those with BRCA wild-type HGSOC.
278 utant HGSOC and patients with BRCA wild-type HGSOC.
279                             Here we utilized HGSOC cell lines and patient-derived xenografts (PDXs) t
280 on of tumor suppressor genes associated with HGSOC in two different combinations (Brca1, Tp53, Pten w
281 L associations at 47 regions associated with HGSOC risk (P</=10(-5)).
282              Genomic lesions associated with HGSOC subtypes tended to be subclonal, implying subtype
283 ation of expression patterns correlated with HGSOC, we performed weighted gene co-expression network
284 t retrospective analysis of 92 patients with HGSOC (median age, 61 years) with abdominopelvic CT befo
285 assay in 34 serum samples from patients with HGSOC and 36 healthy women.
286 g this approach, we studied 18 patients with HGSOC over a multi-year period from diagnosis to recurre
287 outine clinical visits from 40 patients with HGSOC undergoing heterogeneous standard of care treatmen
288                      Seventeen patients with HGSOC were imaged at 3 T and had biopsy samples taken pr
289 ally separated samples from 14 patients with HGSOC who received platinum-based chemotherapy.
290 LOVAR subtypes and survival in patients with HGSOC.
291 m 22 ascites specimens from 11 patients with HGSOC.
292  sites from 42 treatment-naive patients with HGSOC.
293 ociated with poor prognosis in patients with HGSOC.
294  of peritoneal fluid samples from women with HGSOC (frequency as low as 1 mutant per 24,736 normal ge
295  17 peritoneal fluid samples from women with HGSOC and 20 from women without cancer.
296 ease at the start of treatment in women with HGSOC and that a decrease of </=60% in TP53MAF after one
297                However, among 325 women with HGSOC, better adherence to HEI-2020 was associated with
298 efore cytoreductive surgery in 46 women with HGSOC, whose tumors were subjected to molecular analysis
299 ich could improve the outcome for women with HGSOC.
300                                       Within HGSOC, 57 probes highlighting 17 genes displayed signifi

 
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