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1 is the most common and most aggressive brain tumour.
2 c characteristics of an individual and their tumour.
3 res resembling those observed in human Wilms tumour.
4 highly aggressive, difficult to treat brain tumour.
5 gene have been found in 5% of biliary tract tumours.
6 oving to effectively deliver therapeutics to tumours.
7 from 22 right-sided and 64 left-sided colon tumours.
8 ndocrine transformation in lung and prostate tumours.
9 d ideally be used in the management of these tumours.
10 ally silenced in both human and murine liver tumours.
11 erapy used for malignant thyroid mesenchymal tumours.
12 microenvironment after resection of primary tumours.
13 key role in the establishment of metastatic tumours.
14 tant role in immune responses to viruses and tumours.
15 mmunity and CAR T-cell therapy against solid tumours.
16 s with unresectable gastrointestinal stromal tumours.
17 and proteomic data to classify breast cancer tumours.
18 need to be explored to treat p53- deficient tumours.
19 y lymphoid structures in these CD8(+)CD20(+) tumours.
20 e surgical or radiation treatment of primary tumours, ~50% of patients progress to metastatic disease
22 Here, we show that, for a range of solid tumours, a cyclic octapeptide labelled with a near-infra
23 sive nature of malignant thyroid mesenchymal tumours, a multidisciplinary team-based approach should
24 mal properties and can therefore be used for tumour ablation in mice, and that they have high optical
26 is of whole genomes, comprising thousands of tumours across populations worldwide, with the aim of id
27 B, and C, which has been shown to have anti-tumour activity against NTRK gene fusion-positive solid
32 entify transcriptomic differences in primary tumour and peritumoral adipose tissue between obese pati
33 complex interplay between the clear cell RCC tumour and peritumoral adipose tissue microenvironment m
34 , parasympathetic and sensory) interact with tumour and stromal cells to promote the initiation and p
35 e-cell analysis identified the phenotypes of tumour and stromal single cells, their organization and
36 py based on the genetics and biology of each tumour and the clinical characteristics of each patient.
37 e between fresh biopsied samples of the oral tumour and the surgical resection margin with more than
40 nting evidence that resection of the primary tumour and/or localised radiotherapy (locoregional thera
42 Nonetheless, eosinophils infiltrate multiple tumours and are equipped to regulate tumour progression
43 xpression analysis of matched primary breast tumours and bone metastasis-derived patient-derived xeno
44 ns between monthly treatment costs for solid tumours and clinical benefit in all assessed countries,
45 increases the concentration of glutamine in tumours and its downstream metabolite, alphaKG, without
46 ently upregulated in diverse human and mouse tumours and limits the anti-tumour activity of IL-18 in
47 nce of the probes in mouse models of mammary tumours and of metastatic lung cancer, as well as during
48 mechanisms underlying TGFbeta signalling in tumours and their microenvironment and discuss approache
49 horts included only patients with resectable tumours, and a formalin-fixed, paraffin-embedded tumour
50 y modality for the treatment of intracranial tumours, and its use has been expanded for the treatment
51 lung cancer, mesothelioma, thymic epithelial tumours, and other pulmonary neuroendocrine neoplasms) a
52 CD68+ macrophages within human head and neck tumours, and show that images grouped semi-quantitativel
54 ould include bone-targeted agents to inhibit tumour-associated osteolysis and prevent skeletal morbid
55 ing of the treatment barriers imposed by the tumour-associated stroma, and from the development of no
57 sation (WHO) classification categorises bone tumours based on their similarity to normal adult tissue
61 enrolled and randomly assigned to receive no tumour bed boost (n=605) or tumour bed boost (n=603).
62 gned, by use of a minimisation algorithm, to tumour bed boost or no tumour bed boost, following conve
63 isation algorithm, to tumour bed boost or no tumour bed boost, following conventional whole breast ra
64 g pursued for predicting clinically relevant tumour behaviours, such as treatment response and emerge
66 amples, E-cadherin-expressing and -deficient tumours both invade collectively and metastasize equally
67 remodelling of the basement membrane promote tumour budding, while stiffening of the basement membran
68 to arise from a single clone in the primary tumour but can exhibit subclonal heterogeneity at the ge
69 effect on the growth of primary subcutaneous tumours, but resulted in depletion of circulating melano
71 d composition and parameters associated with tumour cell lines such as their sensitivity to hypoxia o
72 ion in these parameters, such as the rate of tumour cell proliferation or sensitivity to hypoxia, can
78 roximity between cytotoxic T lymphocytes and tumour cells is required for effective immunotherapy.
81 gression either directly by interacting with tumour cells or indirectly by shaping the tumour microen
87 nd transcriptome analysis on a large ovarian tumour cohort and develop a machine learning approach to
89 ose of Western cohorts: specifically, 41% of tumours contained mutations in FOXA1 and 18% each had de
90 e length of the mouse small intestine and in tumours contrast with previous reports of discrete conce
92 40 Gy in 15 fractions over 3 weeks for local tumour control, and is as safe in terms of normal tissue
93 er expression of AGXT, PTGER3 and SLC12A3 in tumours correlates with worse prognosis in KIRC patients
95 dly, early priming of CD4(+) T cells against tumour-derived antigens also required cDC1, and this was
97 s such, early studies focused on the role of tumour-derived cohesin mutations in the fidelity of chro
100 its silencing in vivo drastically decreased tumour development and progression, likely through a mol
102 ecology, supporting the concept that purely tumour epithelium-centric metrics of aggressiveness may
103 es of 23,427 tumours, identifying aspects of tumour evolution including probable orders in which CAAs
104 Thus, CAAs predict cancer prognosis, shape tumour evolution, metastasis and drug response, and may
108 with compensatory effects leading to robust tumour fitness maintained throughout the tumour progress
113 ions between the tumour microenvironment and tumour genotype are highlighted, providing important clu
115 mine the relationship between PET-CT derived tumour glucose uptake as measured by maximum standard gl
116 wild-type growth factors, as well as reduced tumour growth (associated with PDGF-BB delivery) and vas
117 also resulted, in vivo, in a suppression of tumour growth and a decrease in the number of mouse circ
118 ntified divergent effects of DDRs on primary tumour growth and experimental lung metastasis in the HT
119 econstitution suppressed cell proliferation, tumour growth and invasion, both in vitro and in vivo.
120 ection of surgical site infection as well as tumour growth and other systemic inflammatory responses
121 ntial dietary intervention to block melanoma tumour growth and sensitize tumours to targeted therapy
122 praphysiological levels of D-mannose inhibit tumour growth and stimulate regulatory T cell differenti
133 situ (with or without a high-grade Ta or T1 tumour) had a complete response within 3 months of the f
134 approval for the treatment of patients with tumours harbouring NTRK fusions and MMR deficiencies, re
135 ts with metastatic or locally advanced solid tumours harbouring oncogenic NTRK1, NTRK2, and NTRK3 gen
139 erent data sets, including genomic profiles, tumour histopathology, radiological images, proteomic an
140 o the detection and characterisation of bone tumours; however, magnetic resonance imaging (MRI) is th
141 Here, we analyse CAA profiles of 23,427 tumours, identifying aspects of tumour evolution includi
142 d immune reactivity, thereby contributing to tumour immune evasion and promoting tumour growth in mou
147 a target for bolstering T-cell-mediated anti-tumour immunity and CAR T-cell therapy against solid tum
148 erstanding the origin and fate of T cells in tumour immunity is the lack of quantitative information
150 isit classical concepts concerning viral and tumour immunity, which will be critical to fully underst
154 melanoma (UM) is the most common intraocular tumour in adults and despite surgical or radiation treat
157 Immune surveillance against pathogens and tumours in the central nervous system is thought to be l
159 vity against NTRK gene fusion-positive solid tumours, including CNS activity due to its ability to pe
160 rest), nodal status (N0 vs rest), number of tumour-infiltrating lymphocytes (continuous variable), s
161 leukin-18 (IL-18) pathway are upregulated on tumour-infiltrating lymphocytes, suggesting that IL-18 t
163 n II activity, high levels of ki-67 and high tumour-initiating abilities are characteristic of invasi
164 ensive metabolic reprogramming occurs during tumour initiation and progression in renal cell carcinom
166 verse molecular mechanisms presumed to drive tumour initiation, maintenance and recurrence across ind
168 blood-brain barrier, namely malignant brain tumours, ischaemic stroke and haemorrhagic traumatic con
171 ow-grade epilepsy associated neuroepithelial tumour (LEAT), vascular malformation, and hippocampal sc
174 n (FLCN) and is characterized by benign skin tumours, lung and kidney cysts and renal cell carcinoma(
175 orrelated with patient survival and relevant tumour markers, and its silencing in vivo drastically de
176 rate that, even after removal of the primary tumour, MDSCs contribute to the development of premetast
177 in patients with PD-L1 immune cell-positive tumours, median overall survival was 25.0 months (95% CI
181 have fuelled ongoing efforts to exploit the tumour microenvironment (TME) for therapy, but strategie
183 mical and biophysical characteristics of the tumour microenvironment and aim to enable studies of can
184 te many of the physiological features of the tumour microenvironment and have been shown to be far su
185 s with myeloid and fibroblastic cells in the tumour microenvironment and ongoing immune surveillance(
186 that shed light on interactions between the tumour microenvironment and tumour genotype are highligh
188 releasing tumour-specific antigens into the tumour microenvironment highlights the potential for mCD
189 pment of novel approaches to re-engineer the tumour microenvironment in favour of effective anticance
190 d a chemokine cascade, which will favour the tumour microenvironment in terms of distant metastasis.
191 ts are focusing on modulating the pancreatic tumour microenvironment to enhance the efficacy of the i
196 d by the development of new molecular tools, tumour modelling systems and precise instrumentation tog
197 he method on two case studies with syngeneic tumour models which are challenging due to high variabil
199 tive value, although blood-based measures of tumour mutational burden did not have predictive value i
206 ctivity of the Rab3 and Rab27 small GTPases, tumour necrosis factor-alpha (TNF-alpha)-induced signall
207 iagnosis, including leukaemia, lymphoma, CNS tumours, neuroblastoma, Wilms tumour, soft-tissue sarcom
209 of sex differences in whole genomes of 1983 tumours of 28 subtypes as part of the ICGC/TCGA Pan-Canc
210 ed transcriptomic differences in the primary tumours of obese patients compared with those of a norma
211 that B cell signatures were enriched in the tumours of patients who respond to treatment versus non-
214 ing treatment of benign tumours, extraocular tumours, or other forms of stereotactic radiosurgery wer
215 a clinically viable therapeutic strategy for tumours overexpressing the epidermal growth factor recep
216 rtance of functionally interrogating diverse tumour phenotypes driven by individual, yet related, var
217 a proof-of-concept method to infer the total tumour pressure, that is the sum of the fluid and solid
218 ratified by platinum-free interval, residual tumour, previous antiangiogenic therapy, and study group
219 ultiple tumours and are equipped to regulate tumour progression either directly by interacting with t
220 osphorylation and fuel lipogenesis, enabling tumour progression through metabolic reprogramming.
226 programmed cell death 1 (PD1) can result in tumour regression in preclinical models and can improve
229 Nano-formulations that are responsive to tumour-related and externally-applied stimuli can offer
230 d, as the mechanisms that underlie how these tumours remodel the neuronal milieu towards increased ac
233 ison with published data from 2,554 prostate tumours revealed that the genomic alteration signatures
234 st defences, suggesting that their effect on tumour risk may in part be accounted for by their influe
236 assessed in formalin-fixed paraffin-embedded tumour samples using the FoundationOne CDx assay (Founda
238 ER, data from 435 (35%) of 1254 patients for tumour size (T1 vs rest), nodal status (N0 vs rest), num
240 lymphoma, CNS tumours, neuroblastoma, Wilms tumour, soft-tissue sarcomas, and bone cancer) by compar
241 xpressing carcinomas, subsequently releasing tumour-specific antigens into the tumour microenvironmen
242 int inhibitors demonstrates the potential of tumour-specific CD8(+) T cells to prevent and treat canc
243 can be circumvented by CAR-T cells targeting tumour-specific driver gene mutations, such as the four-
244 the processing of two substrates by multiple tumour-specific enzymes produce a fluorescent signal wit
248 tinuum models of microbead infiltration into tumour spheroids as they rely on resolving the trajector
251 centre B-cell or non-germinal centre B-cell tumour subtype and double or triple expressor status wer
252 tcome of the study was the effect of primary tumour subtype, age, and sex and on severe acute respira
259 prostate cancer, SPOP seems to function as a tumour suppressor by targeting several proteins, includi
260 drocarbon receptor (AHR) pathway as a potent tumour suppressor in a SHH medulloblastoma mouse model.
261 ide genetic evidence for FBP1 as a metabolic tumour suppressor in liver cancer and establish a critic
264 clude that MEGF11 plays an important role in tumour survival and that overexpression of MEGF11 induce
271 me and DNA methylation data for 208 pairs of tumour tissue samples and matched healthy control tissue
272 two breast cancer cell-lines and two patient tumour tissue samples through a qPCR instrument and fina
275 ctivation as well as the oxidative status in tumours to clarify the mechanisms involved in a multiple
277 o block melanoma tumour growth and sensitize tumours to targeted therapy via epigenetic reprogramming
279 erations to date, obtained by characterizing tumour transcriptomes from 1,188 donors of the Pan-Cance
281 objective response to pembrolizumab for each tumour type according to the Response Evaluation Criteri
284 selectively imaging and delivering drugs to tumours typically leverage differentially upregulated su
286 specificity; 64% MSI-H and 73% MMR deficient tumours unexplained by LS or MLH1-hypermethylation had s
288 to the Response Evaluation Criteria in Solid Tumours version 1.1 or the International Neuroblastoma R
289 a substantial and immediate occlusion of the tumour vessels followed by haemorrhage within the tissue
290 for the amplification of imaging contrast in tumours via the temporal integration of the imaging sign
291 This substantial and sustained decrease in tumour volume suggests that the proposed drug delivery a
293 In Kaplan-Meier analysis, patients whose tumours were CCS Low had a longer Progression Free Inter
294 internal compositions (the proportion of the tumour which is proliferating, hypoxic/quiescent and nec
295 itional knockout mice also generates similar tumours, which are rescued by deletion of YAP1 and its p
298 of the study were aged 1-18 years with solid tumours with measurable or evaluable disease (by Respons