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1                                              PFS for patients with esophageal cancer was associated w
2                                              PFS was noninferior (HR, 1.00; 95% CI, 0.65 to 1.53) and
3                                              PFS was significantly improved in the adjuvant group (15
4                                              PFS, determined from objective tumor measurements perfor
5                                              PFS, overall survival (OS), peripheral-blood minimal res
6 6), DOR (median, NR v 5.0 months; P = .014), PFS (median, NR v 3.3 months; P = .020), and OS (1-year
7 ed tumors for ORR (55.2% v 74.1%; P = .037), PFS (8.4 v 11.5 months; P = .026), and OS (2-year rate:
8 e comparison of paclitaxel plus ART (week 48 PFS 50%, 32 to 67; n=59) and etoposide plus ART (20%, 6
9                                      Week-48 PFS rates were higher in the paclitaxel plus ART arm tha
10    Patients with CMB/LCA (n = 45) had 37% 5y-PFS, 62% 5y-OS, and 39% 5y-CSI-free survival.
11 d more frequently than the SHH-INF group (5y-PFS, 93%; n = 28) or group 4 patients (5y-PFS, 83%; n =
12 dation cohort, without prognostic impact (5y-PFS: iSHH-I, 73%, v iSHH-II, 83%; P = .25; n = 99).
13                         Group 3 patients (5y-PFS, 36%; n = 14) relapsed more frequently than the SHH-
14 5y-PFS, 93%; n = 28) or group 4 patients (5y-PFS, 83%; n = 6; P < .001).
15  = 42) had 93% progression-free survival (5y-PFS), 100% overall survival (5y-OS), and 93% CSI-free (5
16               An additional 8 patients had a PFS > 6 months.
17   Uncertainty was explored using alternative PFS estimates and considering all symptomatic grade 2 or
18                                     Although PFS was not associated with size, site, or age, it was s
19 with improved LRC (HR, 0.321; P = 0.015) and PFS (HR, 0.402; P = 0.043).
20 ntly improved LRC (HR, 0.259; P = 0.036) and PFS (HR, 0.242; P = 0.017) compared with patients with a
21 ith P < .0001 against a null rate of 5%, and PFS was 11.4 months (90% CI, 8.4 to 16.3 months); respon
22 n PSA decline of greater or equal to 50% and PFS.
23                               Median DOR and PFS were not reached; 84% and 85% of ibrutinib and zanub
24 al outcome, with significantly longer OS and PFS in responders than in nonresponders according to all
25 arison purposes, the resultant 2-year OS and PFS rates allowing for that dropout rate were 59.6% and
26  by resection had significantly worse OS and PFS than patients receiving first-line chemotherapy foll
27 ain estimated hazard ratios (HRs) for OS and PFS were 0.76 (0.71-0.82) and 0.81 (0.73-0.89) in a rand
28 l (PFS), and objective response rate; OS and PFS were also analyzed according to estrogen-receptor st
29                                       OS and PFS were calculated using multivariable Cox proportional
30                                   The OS and PFS were significantly different between responders and
31 s to be significantly associated with OS and PFS.
32 value of (64)Cu-DOTATATE SUV(max) for OS and PFS.
33 etic mutations and GC affected MRD rates and PFS.
34  Response depth, time to major response, and PFS are impacted by MYD88 and CXCR4 mutation status.
35 ation between prior (177)Lu-PSMA therapy and PFS, and a positive association between PSA decline of g
36 1%; 95% CI: 46%, 73%; P = 0.034), as well as PFS (73%; 95% CI: 58%, 83% compared with 50%; 95% CI: 36
37               A negative association between PFS and carriers of any A at NLRP1 rs12150220 and AA for
38                                          CNS-PFS (intracranial progression or death) and overall surv
39                                   Median CNS-PFS was 9.9 months in the tucatinib arm versus 4.2 month
40 39% with nivolumab and 17% with dacarbazine; PFS rates were 28% and 3%, respectively.
41 ogical features associated with differential PFS between the treatment arms, including new immunomodu
42 ) nor tumor mutational burden differentiated PFS in either study arm.
43 ontrast, no significant difference in either PFS or OS was observed with the addition of PCV in the I
44 rapy and received reduced RT had encouraging PFS similar to patients in ACNS0122 who received full-do
45 f 79.2% (95% CI, 57.9-92.9) and an estimated PFS rate at 24 months of 87.2% (95% CI, 57.2-96.7) with
46 g/mL by week 8 was associated with favorable PFS and OS, while having prior episodes of PD and the ti
47 ts with ERCC1 levels < 1.7 receiving FOLFOX, PFS and response rate were statistically superior to IT,
48 , for OS and 15.5 vs. 2.2 mo, P < 0.001, for PFS, respectively).
49 hazard ratio was 0.50 (range, 0.32-0.77) for PFS.
50 V and Dmax(patient) were adverse factors for PFS (P = 0.027 and P = 0.0003, respectively) and for OS
51  SF3B1 as independent prognostic factors for PFS with GClb, whereas for VenG, only del(17p) was signi
52 ases were independent prognostic factors for PFS.
53 (patient) (>58 cm) yielded 3 risk groups for PFS (P = 0.0003) and OS (P = 0.0011): high with 2 advers
54 th (64)Cu-DOTATATE PET/CT was prognostic for PFS but not OS.
55 tatistically significant HR was reported for PFS in the glioma patients (HR = 1.23, 95% CI: 0.41, 3.7
56 e to those observed in the overall trial for PFS (hazard ratio [HR], 0.43; 95% CI, 0.28 to 0.64; P <
57 displayed a significant prognostic value for PFS and OS in DLBCL patients.
58 he optimal TMTV cutoff for progression-free (PFS) and overall survival (OS) was determined and confir
59             Differences in progression-free (PFS) and overall survival (OS) were evaluated using log-
60  have significantly longer progression-free (PFS) and overall survival (OS), and are better matched t
61 cinoma and how the progression events impact PFS.
62 elate with TMTV/survival, BCL2 >70% impacted PFS and could be stratified by TMTV.
63      High vs low TMTV significantly impacted PFS and OS, independent of maintenance treatment.
64 A-EPOCH-R was more toxic and did not improve PFS or OS compared with R-CHOP.
65 on-eligible patients with MM did not improve PFS or OS.
66 py was an independent predictor for improved PFS and OS and can be proposed as the standardized crite
67                               IDELA improved PFS and OS compared with rituximab alone in patients wit
68 n was associated with significantly improved PFS but not OS after PSW analysis.
69 ysis, AHCT remained associated with improved PFS (HR, 0.70; 95% CI, 0.59 to 0.84; P < .05) but not im
70 of IMiD maintenance associates with improved PFS and OS.
71 lysis, this decline correlated with improved PFS and overall survival, especially when combined with
72 lets + bevacizumab and provides advantage in PFS, ORR, and R0 resection rate at the price of a modera
73                            The difference in PFS was considered significant with a hazard ratio of 0.
74 l analyses showed significant differences in PFS between response categories classified by each of th
75                  The absolute differences in PFS were -30% (95% CI -52 to -8) for the comparison of p
76                  There was no improvement in PFS in patients receiving afatinib plus cetuximab compar
77 ted clinical benefit-specifically, increased PFS-in patients with symptomatic and progressive MTC.
78 TMTV was a strong prognosticator of inferior PFS and OS.
79 ctors independently associated with inferior PFS and OS were as follows: TP53 aberration, prior treat
80 symptoms, with no difference in intracranial PFS and OS, and should be considered a standard of care
81 not differ significantly in OS, intracranial PFS, or toxicity.
82 or response rate and longer, albeit limited, PFS, with toxicity of the combination regimen comparable
83 enefit, reduced hyperprogression, and longer PFS among patients treated with ICIs.
84 signed to FOLFOXIRI + bevacizumab had longer PFS (median, 12.2 v 9.9 months; HR, 0.74; 95% CI, 0.67 t
85 nd TBR(max) predicted a significantly longer PFS and OS (both P <= 0.03; univariate survival analyses
86 her BAF segment counts were linked to longer PFS (HR 0.49, p = 0.022) and OS (HR 0.49, p = 0.052).
87 ations) independently correlates with longer PFS (hazard ratio [HR], 0.63; 95% confidence interval [C
88  and vincristine) was associated with longer PFS (HR, 0.32; P = .003; HR, 0.13; P < .001) and OS (HR,
89 se on venetoclax were associated with longer PFS after BTKi salvage (P = .044 and P = .029, respectiv
90 hemoglobin level were associated with longer PFS and OS (all Ps < 0.05).
91  0.42, P = 0.043) was associated with longer PFS.
92                                       Median PFS and OS were 3.4 and 15.1 mo, respectively.
93                                       Median PFS and OS were 62 and 139 months, respectively.
94                                       Median PFS by BICR was 9.1 months (95% CI, 7.3 to 11.3) for bin
95                                       Median PFS was 13.3 months (90% CI, 12 months to not available/
96                                       Median PFS was 5.1 months (95% CI, 3.5 to 6.9 months) for all p
97                                       Median PFS was 7 months (95% CI 5-8) for patients with grade >=
98                                       Median PFS was 8.3 months (95% CI, 5.7 to 10.9 months).
99  18) to combination treatment, with a median PFS of 1.8 months versus 3.7 months versus 3.3 months, r
100      The IDELA/R-to-IDELA group had a median PFS of 20.3 months (95% CI, 17.3 to 26.3 months) after a
101  The 24-month PFS rate was 48.3%, and median PFS time was 16.8 months (95% CI, 4.6 months to not esti
102                    After data cutoff, median PFS was 10.5 years in the rituximab maintenance arm comp
103 95% CI, 7.6 months to not estimable), median PFS was 7.4 months (95% CI, 5.3 to 8.7 months), and medi
104                         The estimated median PFS and OS were 15.2 mo (95% CI, 13.1-17.4) and 18 mo (9
105                             Estimated median PFS was significantly longer with Gef+C than Gef (16 mon
106  assignment follow-up of 13.5 months, median PFS was longer with continuous versus 1-year fixed-durat
107  follow-up of 22.4 months, respective median PFS, DOR, and OS were 6.7 months, not reached, and 25.3
108 , FOLFOX had a statistically superior median PFS compared with IT (5.7 v 2.9 months; hazard ratio, 0.
109                                   The median PFS and OS were 22 and 53 mo, respectively.
110       In patients with MYD88(WT), the median PFS was 0.4 years (P < .01 for three-way comparisons).
111 atients reached 6-month PFS6, and the median PFS was 1.7 months (95% CI, 1.4 to 1.8 months).
112 ss than or equal to 55% (n = 53), the median PFS was 11 mo and the median OS was 22 mo.
113                                   The median PFS was 5.5 months (95% CI, 3.4 to 9.5 months), and the
114                                     The 6-mo PFS rates were 94%, 48%, and 0% for World Health Organiz
115                                 The 24-month PFS rate was 48.3%, and median PFS time was 16.8 months
116 clax resistance mutation (estimated 24-month PFS, 69%).
117 ave not been reached; the estimated 45-month PFS was 62% (95% confidence interval, 51% to 71%).
118 rvival (PFS) was 3.4 months, and the 6-month PFS rate was 15% (90% CI, 8% to 31%).
119 e was 22% (90% CI, 4.1% to 55%), and 6-month PFS rate was 56% (90% CI, 31% to 100%).
120 ded progression-free survival (PFS), 6-month PFS, and overall survival.
121        With a median follow-up of 36 months, PFS and overall survival remain superior to bendamustine
122 R, 0.31; 95% CI, 0.11-0.85; P = .02) but not PFS (HR, 0.47; 95% CI, 0.19-1.13; P = .09).
123  of 36 months, the Kaplan-Meier estimates of PFS were 86% (95% confidence interval [CI], 76.6-91.9) f
124       However, the accuracy of prediction of PFS at 24 mo after (64)Cu-DOTATATE PET/CT SRI was modera
125 DOTATATE SUV(max) was 43.3 for prediction of PFS, with a hazard ratio of 0.56 (95% confidence interva
126         Both TMTV results were predictive of PFS (hazard ratio, 2.3 and 2.6 for TMTV(PARS) and TMTV(R
127 tio of >=0.1 was an independent predictor of PFS (HR 2.5, P = 0.01) and OS (HR 2.2, P = 0.03).
128  WHO subgroup was a significant predictor of PFS after adjustment for clinical variables and treatmen
129 = 0.01], and was an independent predictor of PFS and OS on multivariable analysis.
130 gnature remained an independent predictor of PFS in multivariable analysis adjusting for stage, human
131 ed VTE during follow-up had shorter times of PFS (HR, 1.74; 95% CI, 1.19-2.54; P = .004) and OS (HR,
132 iated with significant decreases in times of PFS and OS.
133 heless, distribution of treatment effects on PFS did not vary with expression.
134 ng to PERCIST(MTV) predicted prolonged OS or PFS (P < 0.01), whereas all other imaging criteria and p
135 ORR (P = .63, .29, and .27, respectively) or PFS (P = .28, .27, and .32).
136 of overall and progression-free survival (OS/PFS) in chemorefractory metastatic colorectal cancer (mC
137  = 0.001) with significantly worse outcomes (PFS, 95% CI 6-36, 49-73 versus 74-90 months) who were no
138 ionary parameters strongly predict patients' PFS and OS.
139 S (HR = 1.27, 95% CI: 1.01, 1.59) and poorer PFS (HR = 1.46, 95% CI: 1.17, 1.82).
140  failure time model was developed to predict PFS, which was represented as a nomogram and an online c
141     The accuracy was moderate for predicting PFS (57%) at 24 mo after (64)Cu-DOTATATE PET/CT.
142 atment metabolic tumor volume for predicting PFS, with a C-index of 0.72 versus 0.67 (training) and 0
143  that TBR(max) changes predicted a prolonged PFS (P = 0.012) and changes of MTV a prolonged OS (P = 0
144 therapy to gefitinib significantly prolonged PFS and OS but increased toxicity in patients with NSCLC
145 epening of responses and likely to prolonged PFS and OS.
146 nts with RR cHL, and resulted in a promising PFS in a high-risk patient cohort, supporting the testin
147                               The median PSA-PFS and overall survival were 3.2 mo (95% confidence int
148                                           QA-PFS was calculated as progression-free survival function
149            The significant differences in QA-PFS and Q-TWiST confirm the benefit of rucaparib versus
150                                      Mean QA-PFS was significantly longer with rucaparib versus place
151       Higher IMH was associated with reduced PFS for every standard deviation decrease in the area un
152       Higher MTV was associated with reduced PFS for every standard deviation increase (hazard ratio
153 ases, and showed promising results regarding PFS and OS.
154 zard ratio [HR], 0.6 and 0.47, respectively; PFS: HR, 0.36 and 0.24, respectively).
155 n the efficacy of CTx versus ASCT for second PFS (HR, 0.7; 95% CI, 0.3 to 1.6; P = .39).
156 on-free survival (PFS) after relapse (second PFS) treated with either ASCT or CTx and performed sensi
157 ged > 60 years at relapse had shorter second PFS (hazard ratio [HR], 3.0; P = .0029) and were mostly
158 ho were aged <= 60 years, the 2-year, second PFS rate was 94.0% with CTx (95% CI, 85.7% to 100%) vers
159  positive for PD-L1) at baseline had shorter PFS.
160 nts with low SMI had a significantly shorter PFS (HR = 1.66 [95% CI: 1.05-2.61]; p = 0.0291) at univa
161 ogenic mutations had a significantly shorter PFS (p = 0.005).
162  PI3K/MTOR pathway had significantly shorter PFS than those without these mutations after tyrosine ki
163  unmutated IGHV were associated with shorter PFS.
164 .042); higher GC was associated with shorter PFS.
165 .98; P < 0.001) were associated with shorter PFS; necrosis on pathology (HR, 0.42, P = 0.043) was ass
166  and CD8(+) CAR T cells experienced superior PFS (P = .02 and .04, respectively).
167  therapy (EOCT) was associated with superior PFS compared with low MRD positivity (HR, 0.50) and high
168 7 fewer months of progression-free survival (PFS) (95% confidence interval [CI] 5-29, 49-69 versus 70
169 s associated with progression-free survival (PFS) (hazard ratio [HR] = 0.99; 95% confidence interval
170 ciated with worse progression-free survival (PFS) (HR = 1.51, 95% CI:1.03-2.22, p-value = 0.037) and
171 9; P = 0.011) and progression-free survival (PFS) (HR, 0.276; P = 0.006).
172 34, p = 0.02) and progression free survival (PFS) (HR:1.45, p < 0.001) due to an increase in MM progr
173 0.02) and shorter progression-free survival (PFS) (p = 0.02) compared to patients without the mutatio
174 ciate with longer progression-free survival (PFS) [hazard ratio (HR) 0.32, p < 0.001], and overall su
175 survival (OS) and progression-free survival (PFS) after (225)Ac-PSMA-617 treatment.
176 ts based on their progression-free survival (PFS) after FOLFIRINOX.
177 zards regression, progression-free survival (PFS) after relapse (second PFS) treated with either ASCT
178 urvival (OS), and progression-free survival (PFS) among patients with PMNSGCTs undergoing resection a
179  surgery improved progression-free survival (PFS) and delayed new disease in patients with oligometas
180            Median progression-free survival (PFS) and median overall survival after BTKi initiation w
181 lity of life, and progression-free survival (PFS) and overall survival (OS) at 1, 2, and 3 y.
182 ed with prolonged progression-free survival (PFS) and overall survival (OS) at PM (OS: hazard ratio [
183 es were to assess progression-free survival (PFS) and overall survival (OS) in all patients treated w
184 ove prediction of progression-free survival (PFS) and overall survival (OS) in diffuse large B-cell l
185 56 months, 5-year progression-free survival (PFS) and overall survival (OS) rates were 72% and 84% fo
186 ry endpoints were progression-free survival (PFS) and overall survival (OS) times.
187                   Progression-free survival (PFS) and overall survival (OS) were compared between res
188 rmed to calculate progression-free survival (PFS) and overall survival (OS), defined from the start o
189 e events (irAEs), progression free survival (PFS) and overall survival (OS).
190 gnostic value for progression-free survival (PFS) and overall survival (OS).
191 predict patients' progression-free survival (PFS) and overall survival (OS).
192 ll survival (OS), progression-free survival (PFS) and response rate.
193 imary outcome was progression-free survival (PFS) at week 48, using a 15% non-inferiority margin to c
194 ary end point was progression-free survival (PFS) by blinded independent central review (BICR); addit
195 nature to predict progression-free survival (PFS) by fitting an L1-regularized Cox regression model.
196 ulted in improved progression-free survival (PFS) compared with bendamustine plus rituximab (BR) in p
197             Early progression-free survival (PFS) events were associated with low tumor mutational bu
198 with an effect on progression-free survival (PFS) for both treatment groups: GClb (hazard ratio [HR],
199 n of response and progression-free survival (PFS) have not been reached; the estimated 45-month PFS w
200 iated with longer progression free survival (PFS) in patients treated with EGFR-TKIs, while EGFR-DLS
201 one would improve progression-free survival (PFS) in patients with treatment-naive EGFR-mutant non-sm
202 ary end point was progression-free survival (PFS) in the intention-to-treat population.
203        The 2-year progression-free survival (PFS) is 30% (95% confidence interval, 20% to 70%). Subje
204 es using a median progression-free survival (PFS) of >= 9 mo and overall survival (OS) of >= 15 mo as
205        The OS and progression-free survival (PFS) of patients with complete and partial response were
206 Additionally, the progression-free survival (PFS) of stage IV patients was comparatively shorter in f
207  was to determine progression-free survival (PFS) of these patients.
208 ted with inferior progression-free survival (PFS) or overall survival (OS), apart from inferior OS fo
209 monstrated longer progression-free survival (PFS) over bortezomib and dexamethasone (Vd) in patients
210 rall survival and progression-free survival (PFS) probabilities were 86% and 59%, respectively.
211  and an estimated progression-free survival (PFS) rate at 24 months of 91.5% (95% CI, 70.0-97.8) with
212 The median 5-year progression-free survival (PFS) rate for all patients was not reached, and was 70%
213 ly, 5-year OS and progression-free survival (PFS) rates were 32.1% and 23% and 18.3% and 13% (P = .05
214 mary endpoint was progression-free survival (PFS) stratified by mutation profiles in ctDNA.
215        The median progression-free survival (PFS) was 2 and 3.9 months in the nivolumab and nivolumab
216        The median progression-free survival (PFS) was 3.4 months, and the 6-month PFS rate was 15% (9
217 y, whereas median progression-free survival (PFS) was 3.7 months and 8.0 months, respectively (P = .0
218               The progression-free survival (PFS) was 32% +/- 6%, and the overall survival (OS) was 7
219            Median progression-free survival (PFS) was 5.6 months (95% CI, 1.9 to 7.4 months); the PFS
220                   Progression-free survival (PFS) was a secondary endpoint.
221    Median DOR and progression-free survival (PFS) were 11.0 and 4.5 months in all patients and were n
222 se rate (ORR) and progression-free survival (PFS) were calculated.
223 icantly prolonged progression-free survival (PFS) with first-line avelumab + axitinib versus sunitini
224     Durability of progression-free survival (PFS) with ibrutinib can vary by patient subgroup.
225 nt improvement in progression-free survival (PFS) with tucatinib.
226 d points included progression-free survival (PFS), 6-month PFS, and overall survival.
227 yses included OS, progression-free survival (PFS), and objective response rate; OS and PFS were also
228 ll survival (OS), progression-free survival (PFS), and overall response rate were compared between an
229 nse to treatment, progression-free survival (PFS), and overall survival (OS).
230 f response (DOR), progression-free survival (PFS), and overall survival (OS).
231 ator of response, progression-free survival (PFS), and overall survival.
232 ponse rate (ORR), progression-free survival (PFS), duration of response (DoR), and overall survival (
233 ponse rate (MRR), progression-free survival (PFS), duration of response (DOR), disease burden, and sa
234 ll survival (OS), progression-free survival (PFS), duration of response (DOR), safety, ORR according
235 ent end points of progression-free survival (PFS), event-free survival, duration of response, and ove
236   End points were progression-free survival (PFS), freedom from transformation, and overall survival
237 y was assumed for progression-free survival (PFS), if the upper limit of the 95% CI for the hazard ra
238  provided data on progression-free survival (PFS), no statistically significant HR was reported for P
239 d points included progression-free survival (PFS), objective response rate (ORR), and safety.
240 y end points were progression-free survival (PFS), objective response rate (ORR), R0 resection rate,
241                   Progression-free survival (PFS), OS, and adverse events were also assessed.
242 y end points were progression-free survival (PFS), overall response rate (ORR), overall survival (OS)
243 OS), intracranial progression-free survival (PFS), toxicity, and patient-reported symptom burden.
244 d points included progression-free survival (PFS), toxicity, and quality of life (QOL).
245 l end points were progression-free survival (PFS), toxicity, biomarkers of response as determined by
246  overall (OS) and progression-free survival (PFS).
247 ional control and progression free survival (PFS).
248 survival (OS) and progression-free survival (PFS).
249 survival (OS), or progression-free survival (PFS).
250  benefit rate and progression-free survival (PFS).
251 seline on patient progression-free survival (PFS).
252  point was 3-year progression-free survival (PFS).
253 CIST) version 1.1 progression-free survival (PFS).
254 meta-analysis was progression-free survival (PFS).
255 ary end point was progression-free survival (PFS); secondary end points included overall survival (OS
256 racteristics with progression-free survival (PFS; by RECIST) were evaluated by Cox regression and Kap
257 aphic or clinical progression free-survival (PFS) by using the Johns Hopkins University modified-Adna
258 r outcome (2-year progression-free survival [PFS] >= 90%) with reduced treatment-related neurotoxicit
259 d not progressed (progression-free survival [PFS] population).
260 w conversion to detectable MRD and sustained PFS after completion of 2 years of venetoclax-rituximab
261  suffer from secondary pollen food syndrome (PFS).
262 T has significant association with long-term PFS and MFS in localized PCa.
263 hemotherapy provides a significant long-term PFS, but not OS, benefit over observation.
264 he 3' end of the RNA target site (called the PFS).
265 ersus 1-year fixed-duration treatment in the PFS (not reached v 32.5 months; HR, 0.61 [95% CI, 0.37 t
266  5.6 months (95% CI, 1.9 to 7.4 months); the PFS rate at 6 months was 39.5%.
267 ility to risk-stratify patients according to PFS.
268 uous versus 1-year fixed-duration treatment (PFS population: 24.7 months v 9.4 months; hazard ratio [
269  pretreatment parameters was performed using PFS and overall survival (OS) end-points.
270 by using the Wilcoxon rank sum test and with PFS by using the log-rank test.
271 x(patient) was significantly associated with PFS (P = 0.0014) whereas both factors remained significa
272 and ECOG PS as independently associated with PFS and OS.
273 SMA treatment was negatively associated with PFS in both univariate and multivariate analyses.
274 T pathway mutations were not associated with PFS, overall survival, or objective response after CPI.
275 from last PD to vaccine were associated with PFS.
276  and postoperative STMs were associated with PFS.
277 ch was associated with a significantly worse PFS (p = 0.00079).
278 umber of sites >2 were associated with worse PFS (P < .05).
279 o any A carriers, were associated with worse PFS in KRAS wild-type (wt) patients (HR = 1.94, 95% CI:1
280 tology (P = .005) were associated with worse PFS.
281 to high-risk versus low-risk groups with 2-y PFS rates of 59.1% versus 89.4% (hazard ratio, 4.4; 95%
282  = 0.0011): high with 2 adverse factors (4-y PFS and OS of 50% and 53%, respectively, n = 18), low wi
283                                   The 1-year PFS probabilities in all evaluable patients were 38% and
284 patients in the >=90% group (n = 20), 1-year PFS was 55%, compared with 94% in the <90% group (n = 17
285 agnosis with significantly different 10-year PFS (100%, 91%, 0% for scores of 0, 1, >=2, respectively
286 ntly improved in the adjuvant group (15-year PFS, 29% v 36%, hazard ratio [HR], 1.25 [95% CI, 1.07 to
287 ection failed to achieve the targeted 2-year PFS of 90%.
288 nd SHH-II, which were associated with 2-year PFS rates of 30.0% (95% CI, 1.6% to 58.4%) and 66.7% (95
289    For those who achieved CR/CRi, the 3-year PFS estimate was 83%.
290                                   The 3-year PFS rates for all 804 patients combined were 47%, 74%, a
291 l of 473 patients underwent PC-RPLND; 5-year PFS for patients with pure teratoma in PC-RPLND specimen
292                                   The 5-year PFS rate was not reached in arm 1 (3.2%; 95% CI, 0% to 1
293                                   The 5-year PFS rates were 91.1% after RT, 90.5% after CMT, 77.8% af
294   With median follow-up of 2.3 years, 5-year PFS was 61.9% (95% CI, 57.1% to 66.2%) for those with te
295  a median follow-up of 96 months, the 5-year PFS was 67% (95% CI, 54% to 82%) and the 5-year OS was 8
296                              At a 25% 5-year PFS, improvements in life expectancy were smaller (3.4 y
297 n optimistic scenario, assuming a 35% 5-year PFS, tisagenlecleucel increased life expectancy by 4.6 y
298                                    Five-year PFS and OS in the entire cohort were 87.1% and 98.3%, re
299                                    Four-year PFS and OS rates were higher with VenR than BR, at 57.3%
300                                     Two-year PFS and overall survival rates were 52% (95% CI, 32.4% t

 
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