-
1
-
-
79952395270
-
Cancer genomics: From discovery science to personalized medicine
-
Chin L, Andersen JN, Futreal PA. Cancer genomics: from discovery science to personalized medicine. Nat Med 2011;17:297–303.
-
(2011)
Nat Med
, vol.17
, pp. 297-303
-
-
Chin, L.1
Andersen, J.N.2
Futreal, P.A.3
-
3
-
-
19844375720
-
Epidermal growth factor receptor mutations in non-small-cell lung cancer: Implications for treatment and tumor biology
-
Janne PA, Engelman JA, Johnson BE. Epidermal growth factor receptor mutations in non-small-cell lung cancer: implications for treatment and tumor biology. J Clin Oncol 2005;23:3227–34.
-
(2005)
J Clin Oncol
, vol.23
, pp. 3227-3234
-
-
Janne, P.A.1
Engelman, J.A.2
Johnson, B.E.3
-
4
-
-
84875937242
-
Genotyping and genomic profiling of non-small-cell lung cancer: Implications for current and future therapies
-
Li T, Kung HJ, Mack PC, Gandara DR. Genotyping and genomic profiling of non-small-cell lung cancer: implications for current and future therapies. J Clin Oncol 2013;31:1039–49.
-
(2013)
J Clin Oncol
, vol.31
, pp. 1039-1049
-
-
Li, T.1
Kung, H.J.2
Mack, P.C.3
Gandara, D.R.4
-
5
-
-
84887497121
-
The quest to overcome resistance to egfr-targeted therapies in cancer
-
Chong CR, Janne PA. The quest to overcome resistance to EGFR-targeted therapies in cancer. Nat Med 2013;19:1389–400.
-
(2013)
Nat Med
, vol.19
, pp. 1389-1400
-
-
Chong, C.R.1
Janne, P.A.2
-
7
-
-
84867121875
-
Intratumor heterogeneity: Evolution through space and time
-
Swanton C. Intratumor heterogeneity: evolution through space and time. Cancer Res 2012;72:4875–82.
-
(2012)
Cancer Res
, vol.72
, pp. 4875-4882
-
-
Swanton, C.1
-
8
-
-
43649099401
-
Intratumor heterogeneity of epidermal growth factor receptor mutations in lung cancer and its correlation to the response to gefitinib
-
Taniguchi K, Okami J, Kodama K, Higashiyama M, Kato K. Intratumor heterogeneity of epidermal growth factor receptor mutations in lung cancer and its correlation to the response to gefitinib. Cancer Sci 2008;99:929–35.
-
(2008)
Cancer Sci
, vol.99
, pp. 929-935
-
-
Taniguchi, K.1
Okami, J.2
Kodama, K.3
Higashiyama, M.4
Kato, K.5
-
9
-
-
84955604605
-
Radiomics: Images are more than pictures, they are data
-
Gillies RJ, Kinahan PE, Hricak H. Radiomics: images are more than pictures, they are data. Radiology 2016;278:563–77.
-
(2016)
Radiology
, vol.278
, pp. 563-577
-
-
Gillies, R.J.1
Kinahan, P.E.2
Hricak, H.3
-
10
-
-
84992349608
-
The potential of radiomic-based phenotyping in precision medicine: A review
-
Aerts HJWL. The potential of radiomic-based phenotyping in precision medicine: a review. JAMA Oncol 2016;2:1636–42.
-
(2016)
JAMA Oncol
, vol.2
, pp. 1636-1642
-
-
Aerts, H.J.W.L.1
-
11
-
-
84901946941
-
Decoding the tumor phenotype by non-invasive imaging using a quantitative radiomics approach
-
Aerts H, Rios Velazquez E, Leijenaar R, Parmar C, Grossmann P, Cavalho S, et al. Decoding the tumor phenotype by non-invasive imaging using a quantitative radiomics approach. Nat Commun 2014;5:4006.
-
(2014)
Nat Commun
, vol.5
, pp. 4006
-
-
Aerts, H.1
Rios Velazquez, E.2
Leijenaar, R.3
Parmar, C.4
Grossmann, P.5
Cavalho, S.6
-
12
-
-
84857037061
-
Radiomics: Extracting more information from medical images using advanced feature analysis
-
Lambin P, Rios-Velazquez E, Leijenaar R, Carvalho S, van Stiphout RG, Granton P, et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer 2012;48:441–6.
-
(2012)
Eur J Cancer
, vol.48
, pp. 441-446
-
-
Lambin, P.1
Rios-Velazquez, E.2
Leijenaar, R.3
Carvalho, S.4
Van Stiphout, R.G.5
Granton, P.6
-
13
-
-
84976407838
-
Applications and limitations of radiomics
-
Yip SSF, Aerts HJWL. Applications and limitations of radiomics. Phys Med Biol 2016;61:R150–66.
-
(2016)
Phys Med Biol
, vol.61
, pp. R150-R166
-
-
Yip, S.S.F.1
Aerts, H.J.W.L.2
-
14
-
-
84908211707
-
Prognostic value and reproducibility of pretreatment ct texture features in stage iii non-small cell lung cancer
-
Fried DV, Tucker SL, Zhou S, Liao Z, Mawlawi O, Ibbott G, et al. Prognostic value and reproducibility of pretreatment CT texture features in stage III non-small cell lung cancer. Int J Radiat Oncol Biol Phys 2014;90:834–42.
-
(2014)
Int J Radiat Oncol Biol Phys
, vol.90
, pp. 834-842
-
-
Fried, D.V.1
Tucker, S.L.2
Zhou, S.3
Liao, Z.4
Mawlawi, O.5
Ibbott, G.6
-
15
-
-
84938850455
-
Radiomic feature clusters and prognostic signatures specific for lung and head & neck cancer
-
Parmar C, Leijenaar RTH, Grossmann P, Rios Velazquez E, Bussink J, Rietveld D, et al. Radiomic feature clusters and prognostic signatures specific for Lung and Head & Neck cancer. Sci Rep 2015;5:11044.
-
(2015)
Sci Rep
, vol.5
, pp. 11044
-
-
Parmar, C.1
Leijenaar, R.T.H.2
Grossmann, P.3
Rios Velazquez, E.4
Bussink, J.5
Rietveld, D.6
-
16
-
-
85011876424
-
Ct-based radiomics signature: A potential biomarker for preoperative prediction of early recurrence in hepatocellular carcinoma
-
Zhou Y, He L, Huang Y, Chen S, Wu P, Ye W, et al. CT-based radiomics signature: a potential biomarker for preoperative prediction of early recurrence in hepatocellular carcinoma. Abdom Radiol 2017;42:1695–1704.
-
(2017)
Abdom Radiol
, vol.42
, pp. 1695-1704
-
-
Zhou, Y.1
He, L.2
Huang, Y.3
Chen, S.4
Wu, P.5
Ye, W.6
-
17
-
-
85010817811
-
Predicting malignant nodules from screening ct scans
-
Hawkins S, Wang H, Liu Y, Garcia A, Stringfield O, Krewer H, et al. Predicting malignant nodules from screening CT scans. J Thorac Oncol 2016;11:2120–8.
-
(2016)
J Thorac Oncol
, vol.11
, pp. 2120-2128
-
-
Hawkins, S.1
Wang, H.2
Liu, Y.3
Garcia, A.4
Stringfield, O.5
Krewer, H.6
-
18
-
-
85023743890
-
Radiomics of lung cancer
-
Schabath M, Balagurunathan Y, Dmitry G, LAwrence H, Samuel H, Stringfield O, et al. Radiomics of lung cancer. J Thorac Oncol 2016;11:S5–6.
-
(2016)
J Thorac Oncol
, vol.11
, pp. S5-S6
-
-
Schabath, M.1
Balagurunathan, Y.2
Dmitry, G.3
Lawrence, H.4
Samuel, H.5
Stringfield, O.6
-
19
-
-
85015305947
-
Radiomic-based pathological response prediction from primary tumors and lymph nodes in Nsclc
-
Coroller TP, Agrawal V, Huynh E, Narayan V, Lee SW, Mak RH, et al. Radiomic-based pathological response prediction from primary tumors and lymph nodes in NSCLC. J Thorac Oncol 2017;12:467–76.
-
(2017)
J Thorac Oncol
, vol.12
, pp. 467-476
-
-
Coroller, T.P.1
Agrawal, V.2
Huynh, E.3
Narayan, V.4
Lee, S.W.5
Mak, R.H.6
-
20
-
-
84964335379
-
Radiomic phenotype features predict pathological response in non-small cell lung cancer
-
Coroller TP, Agrawal V, Narayan V, Hou Y, Grossmann P, Lee SW, et al. Radiomic phenotype features predict pathological response in non-small cell lung cancer. Radiother Oncol 2016;119:480–6.
-
(2016)
Radiother Oncol
, vol.119
, pp. 480-486
-
-
Coroller, T.P.1
Agrawal, V.2
Narayan, V.3
Hou, Y.4
Grossmann, P.5
Lee, S.W.6
-
21
-
-
84927569956
-
Ct-based radiomic signature predicts distant metastasis in lung adenocarcinoma
-
Coroller TP, Grossmann P, Hou Y, Rios Velazquez E, Leijenaar RT, Her-mann G, et al. CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma. Radiother Oncol 2015;114:345–50.
-
(2015)
Radiother Oncol
, vol.114
, pp. 345-350
-
-
Coroller, T.P.1
Grossmann, P.2
Hou, Y.3
Rios Velazquez, E.4
Leijenaar, R.T.5
Her-Mann, G.6
-
22
-
-
84991101893
-
Ct-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer
-
Huynh E, Coroller TP, Narayan V, Agrawal V, Hou Y, Romano J, et al. CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer. Radiother Oncol 2016;120:258–66.
-
(2016)
Radiother Oncol
, vol.120
, pp. 258-266
-
-
Huynh, E.1
Coroller, T.P.2
Narayan, V.3
Agrawal, V.4
Hou, Y.5
Romano, J.6
-
23
-
-
85008178682
-
Associations of radiomic data extracted from static and respiratory-gated ct scans with disease recurrence in lung cancer patients treated with Sbrt
-
Huynh E, Coroller TP, Narayan V, Agrawal V, Romano J, Franco I, et al. Associations of radiomic data extracted from static and respiratory-gated CT scans with disease recurrence in lung cancer patients treated with SBRT. PLoS One 2017;12:e0169172.
-
(2017)
Plos One
, vol.12
-
-
Huynh, E.1
Coroller, T.P.2
Narayan, V.3
Agrawal, V.4
Romano, J.5
Franco, I.6
-
24
-
-
84893482700
-
Radiogenomics of clear cell renal cell carcinoma: Associations between ct imaging features and mutations
-
Karlo CA, Di Paolo PL, Chaim J, Hakimi AA, Ostrovnaya I, Russo P, et al. Radiogenomics of clear cell renal cell carcinoma: associations between CT imaging features and mutations. Radiology 2014;270:464–71.
-
(2014)
Radiology
, vol.270
, pp. 464-471
-
-
Karlo, C.A.1
Di Paolo, P.L.2
Chaim, J.3
Hakimi, A.A.4
Ostrovnaya, I.5
Russo, P.6
-
25
-
-
84899481753
-
Multifunctional imaging signature for v-ki-ras2 kirsten rat sarcoma viral oncogene homolog (kras) mutations in colorectal cancer
-
Miles KA, Ganeshan B, Rodriguez-Justo M, Goh VJ, Ziauddin Z, Engledow A, et al. Multifunctional imaging signature for V-KI-RAS2 Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations in colorectal cancer. J Nucl Med 2014;55:386–91.
-
(2014)
J Nucl Med
, vol.55
, pp. 386-391
-
-
Miles, K.A.1
Ganeshan, B.2
Rodriguez-Justo, M.3
Goh, V.J.4
Ziauddin, Z.5
Engledow, A.6
-
26
-
-
84865005045
-
Prognostic pet 18f-fdg uptake imaging features are associated with major oncogenomic alterations in patients with resected non-small cell lung cancer
-
Nair VS, Gevaert O, Davidzon G, Napel S, Graves EE, Hoang CD, et al. Prognostic PET 18F-FDG uptake imaging features are associated with major oncogenomic alterations in patients with resected non-small cell lung cancer. Cancer Res 2012;72:3725–34.
-
(2012)
Cancer Res
, vol.72
, pp. 3725-3734
-
-
Nair, V.S.1
Gevaert, O.2
Davidzon, G.3
Napel, S.4
Graves, E.E.5
Hoang, C.D.6
-
27
-
-
84903770590
-
Noninvasive image texture analysis differentiates k-ras mutation from pan-wildtype nsclc and is prognostic
-
Weiss GJ, Ganeshan B, Miles KA, Campbell DH, Cheung PY, Frank S, et al. Noninvasive image texture analysis differentiates K-ras mutation from pan-wildtype NSCLC and is prognostic. PLoS One 2014;9:e100244.
-
(2014)
Plos One
, vol.9
-
-
Weiss, G.J.1
Ganeshan, B.2
Miles, K.A.3
Campbell, D.H.4
Cheung, P.Y.5
Frank, S.6
-
28
-
-
84904995349
-
Alk molecular phenotype in non-small cell lung cancer: Ct radiogenomic characterization
-
Yamamoto S, Korn RL, Oklu R, Migdal C, Gotway MB, Weiss GJ, et al. ALK molecular phenotype in non-small cell lung cancer: CT radiogenomic characterization. Radiology 2014;272:568–76.
-
(2014)
Radiology
, vol.272
, pp. 568-576
-
-
Yamamoto, S.1
Korn, R.L.2
Oklu, R.3
Migdal, C.4
Gotway, M.B.5
Weiss, G.J.6
-
29
-
-
84928139764
-
Comparative analysis of clinicoradiologic characteristics of lung adenocarcinomas with alk rearrangements or egfr mutations
-
Zhou JY, Zheng J, Yu ZF, Xiao WB, Zhao J, Sun K, et al. Comparative analysis of clinicoradiologic characteristics of lung adenocarcinomas with ALK rearrangements or EGFR mutations. Eur Radiol 2015;25: 1257–66.
-
(2015)
Eur Radiol
, vol.25
, pp. 1257-1266
-
-
Zhou, J.Y.1
Zheng, J.2
Yu, Z.F.3
Xiao, W.B.4
Zhao, J.5
Sun, K.6
-
30
-
-
84948718250
-
Ct radiogenomic characterization of egfr, k-ras, and alk mutations in non-small cell lung cancer
-
Rizzo S, Petrella F, Buscarino V, De Maria F, Raimondi S, Barberis M, et al. CT radiogenomic characterization of EGFR, K-RAS, and ALK mutations in non-small cell lung cancer. Eur Radiol 2015;26:32–42.
-
(2015)
Eur Radiol
, vol.26
, pp. 32-42
-
-
Rizzo, S.1
Petrella, F.2
Buscarino, V.3
De Maria, F.4
Raimondi, S.5
Barberis, M.6
-
31
-
-
84962614999
-
Radiomic features are associated with egfr mutation status in lung adenocarcinomas
-
Liu Y, Kim J, Balagurunathan Y, Li Q, Garcia AL, Stringfield O, et al. Radiomic features are associated with EGFR mutation status in lung adenocarcinomas. Clin Lung Cancer 2016;17:441–8.e6.
-
(2016)
Clin Lung Cancer
, vol.17
, pp. 441-448.e6
-
-
Liu, Y.1
Kim, J.2
Balagurunathan, Y.3
Li, Q.4
Garcia, A.L.5
Stringfield, O.6
-
32
-
-
84979047899
-
Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data
-
Guo W, Li H, Zhu Y, Lan L, Yang S, Drukker K, et al. Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data. J Med Imaging 2015;2:041007.
-
(2015)
J Med Imaging
, vol.2
, pp. 41007
-
-
Guo, W.1
Li, H.2
Zhu, Y.3
Lan, L.4
Yang, S.5
Drukker, K.6
-
33
-
-
84944459873
-
Decoding tumor phenotypes for alk, ros1, and ret fusions in lung adenocarcinoma using a radiomics approach
-
Yoon HJ, Sohn I, Cho JH, Lee HY, Kim J-H, Choi Y-L, et al. Decoding tumor phenotypes for ALK, ROS1, and RET fusions in lung adenocarcinoma using a radiomics approach. Medicine 2015;94:e1753.
-
(2015)
Medicine
, vol.94
, pp. e1753
-
-
Yoon, H.J.1
Sohn, I.2
Cho, J.H.3
Lee, H.Y.4
Kim, J.-H.5
Choi, Y.-L.6
-
34
-
-
85017108058
-
Associations between somatic mutations and metabolic imaging phenotypes in non-small cell lung cancer
-
Yip SS, Kim J, Coroller T, Parmar C, Rios Velazquez E, Huynh E, et al. Associations between somatic mutations and metabolic imaging phenotypes in non-small cell lung cancer. J Nucl Med 2017;58:569–76.
-
(2017)
J Nucl Med
, vol.58
, pp. 569-576
-
-
Yip, S.S.1
Kim, J.2
Coroller, T.3
Parmar, C.4
Rios Velazquez, E.5
Huynh, E.6
-
35
-
-
84908086036
-
Prospective enterprise-level molecular genotyping of a cohort of cancer patients
-
MacConaill LE, Garcia E, Shivdasani P, Ducar M, Adusumilli R, Breneiser M, et al. Prospective enterprise-level molecular genotyping of a cohort of cancer patients. J Mol Diagn 2014;16:660–72.
-
(2014)
J Mol Diagn
, vol.16
, pp. 660-672
-
-
MacConaill, L.E.1
Garcia, E.2
Shivdasani, P.3
Ducar, M.4
Adusumilli, R.5
Breneiser, M.6
-
36
-
-
70849116358
-
Profiling critical cancer gene mutations in clinical tumor samples
-
MacConaill LE, Campbell CD, Kehoe SM, Bass AJ, Hatton C, Niu L, et al. Profiling critical cancer gene mutations in clinical tumor samples. PLoS One 2009;4:e7887.
-
(2009)
Plos One
, vol.4
-
-
MacConaill, L.E.1
Campbell, C.D.2
Kehoe, S.M.3
Bass, A.J.4
Hatton, C.5
Niu, L.6
-
37
-
-
67650085792
-
Evaluating variability in tumor measurements from same-day repeat ct scans of patients with non-small cell lung cancer
-
Zhao B, James LP, Moskowitz CS, Guo P, Ginsberg MS, Lefkowitz RA, et al. Evaluating variability in tumor measurements from same-day repeat CT scans of patients with non-small cell lung cancer. Radiology 2009;252: 263–72.
-
(2009)
Radiology
, vol.252
, pp. 263-272
-
-
Zhao, B.1
James, L.P.2
Moskowitz, C.S.3
Guo, P.4
Ginsberg, M.S.5
Lefkowitz, R.A.6
-
38
-
-
46749110034
-
Factominer: An r package for multivariate analysis
-
Lê S, Josse J, Husson F. FactoMineR: An R Package for Multivariate Analysis. J Stat Softw 2008;25:1–18.
-
(2008)
J Stat Softw
, vol.25
, pp. 1-18
-
-
Lê, S.1
Josse, J.2
Husson, F.3
-
39
-
-
0001677717
-
Controlling the false discovery rate: A practical and powerful approach to multiple testing
-
Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Series B Stat Methodol 1995;57:289–300.
-
(1995)
J R Stat Soc Series B Stat Methodol
, vol.57
, pp. 289-300
-
-
Benjamini, Y.1
Hochberg, Y.2
-
40
-
-
80755144068
-
Survcomp: An r/bioconductor package for performance assessment and comparison of survival models
-
Schroder MS, Culhane AC, Quackenbush J, Haibe-Kains B. survcomp: an R/Bioconductor package for performance assessment and comparison of survival models. Bioinformatics 2011;27:3206–8.
-
(2011)
Bioinformatics
, vol.27
, pp. 3206-3208
-
-
Schroder, M.S.1
Culhane, A.C.2
Quackenbush, J.3
Haibe-Kains, B.4
-
41
-
-
84939498419
-
Machine learning methods for quantitative radiomic biomarkers
-
Parmar C, Grossmann P, Bussink J, Lambin P, Aerts HJWL. Machine Learning methods for quantitative radiomic biomarkers. Sci Rep 2015;5: 13087.
-
(2015)
Sci Rep
, vol.5
, pp. 13087
-
-
Parmar, C.1
Grossmann, P.2
Bussink, J.3
Lambin, P.4
Aerts, H.J.W.L.5
-
42
-
-
84863403768
-
Conditional likelihood maximisation: A unifying framework for information theoretic feature selection
-
Brown G, Pocock A, Zhao M-J, Lujan M. Conditional likelihood maximisation: a unifying framework for information theoretic feature selection. J Mach Learn Res 2012;13:27–66.
-
(2012)
J Mach Learn Res
, vol.13
, pp. 27-66
-
-
Brown, G.1
Pocock, A.2
Zhao, M.-J.3
Lujan, M.4
-
43
-
-
0035478854
-
Random forests
-
Breiman L. Random forests. Mach Learn 2001;45:5–32.
-
(2001)
Mach Learn
, vol.45
, pp. 5-32
-
-
Breiman, L.1
-
44
-
-
84964417455
-
Exploratory study to identify radiomics classifiers for lung cancer histology
-
Wu W, Parmar C, Grossmann P, Quackenbush J, Lambin P, Bussink J, et al. Exploratory study to identify radiomics classifiers for lung cancer histology. Front Oncol 2016;6:71.
-
(2016)
Front Oncol
, vol.6
, pp. 71
-
-
Wu, W.1
Parmar, C.2
Grossmann, P.3
Quackenbush, J.4
Lambin, P.5
Bussink, J.6
-
45
-
-
84922732814
-
Quantifying tumor heterogeneity in whole-genome and whole-exome sequencing data
-
Oesper L, Satas G, Raphael BJ. Quantifying tumor heterogeneity in whole-genome and whole-exome sequencing data. Bioinformatics 2014;30: 3532–40.
-
(2014)
Bioinformatics
, vol.30
, pp. 3532-3540
-
-
Oesper, L.1
Satas, G.2
Raphael, B.J.3
-
46
-
-
84884994218
-
The cancer genome atlas pan-cancer analysis project
-
Weinstein JN, Collisson EA, Mills GB, Shaw KR, Ozenberger BA, Ellrott K, et al. The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet 2013;45:1113–20.
-
(2013)
Nat Genet
, vol.45
, pp. 1113-1120
-
-
Weinstein, J.N.1
Collisson, E.A.2
Mills, G.B.3
Shaw, K.R.4
Ozenberger, B.A.5
Ellrott, K.6
-
47
-
-
84975769742
-
Association between computed tomographic features and kirsten rat sarcoma viral oncogene mutations in patients with stage i lung adenocarcinoma and their prognostic value
-
Wang H, Schabath MB, Liu Y, Stringfield O, Balagurunathan Y, Heine JJ, et al. Association between computed tomographic features and kirsten rat sarcoma viral oncogene mutations in patients with stage I lung adenocarcinoma and their prognostic value. Clin Lung Cancer 2016;17:271–8.
-
(2016)
Clin Lung Cancer
, vol.17
, pp. 271-278
-
-
Wang, H.1
Schabath, M.B.2
Liu, Y.3
Stringfield, O.4
Balagurunathan, Y.5
Heine, J.J.6
-
48
-
-
84975222065
-
Ct features associated with epidermal growth factor receptor mutation status in patients with lung adenocarcinoma
-
Liu Y, Kim J, Qu F, Liu S, Wang H, Balagurunathan Y, et al. CT features associated with epidermal growth factor receptor mutation status in patients with lung adenocarcinoma. Radiology 2016;280:271–80.
-
(2016)
Radiology
, vol.280
, pp. 271-280
-
-
Liu, Y.1
Kim, J.2
Qu, F.3
Liu, S.4
Wang, H.5
Balagurunathan, Y.6
-
49
-
-
84983485900
-
Imaging characteristics of driver mutations in egfr, kras, and alk among treatment-na€ve patients with advanced lung adenocarcinoma
-
Park J, Kobayashi Y, Urayama KY, Yamaura H, Yatabe Y, Hida T. Imaging characteristics of driver mutations in EGFR, KRAS, and ALK among treatment-na€ve patients with advanced lung adenocarcinoma. PLoS One 2016;11:e0161081.
-
(2016)
Plos One
, vol.11
-
-
Park, J.1
Kobayashi, Y.2
Urayama, K.Y.3
Yamaura, H.4
Yatabe, Y.5
Hida, T.6
-
51
-
-
84863393080
-
Intratumor heterogeneity and branched evolution revealed by multi-region sequencing
-
Gerlinger M, Rowan AJ, Horswell S, Larkin J, Endesfelder D, Gronroos E, et al. Intratumor heterogeneity and branched evolution revealed by multi-region sequencing. N Engl J Med 2012;366:883–92.
-
(2012)
N Engl J Med
, vol.366
, pp. 883-892
-
-
Gerlinger, M.1
Rowan, A.J.2
Horswell, S.3
Larkin, J.4
Endesfelder, D.5
Gronroos, E.6
-
52
-
-
79955820904
-
Benchmarking of mutation diagnostics in clinical lung cancer specimens
-
Querings S, Altmuller J, Ansen S, Zander T, Seidel D, Gabler F, et al. Benchmarking of mutation diagnostics in clinical lung cancer specimens. PLoS One 2011;6:e19601.
-
(2011)
Plos One
, vol.6
-
-
Querings, S.1
Altmuller, J.2
Ansen, S.3
Zander, T.4
Seidel, D.5
Gabler, F.6
-
53
-
-
84873166606
-
Radiographic assessment and therapeutic decisions at recist progression in egfr-mutant nsclc treated with egfr tyrosine kinase inhibitors
-
Nishino M, Cardarella S, Dahlberg SE, Jackman DM, Ramaiya NH, Hatabu H, et al. Radiographic assessment and therapeutic decisions at RECIST progression in EGFR-mutant NSCLC treated with EGFR tyrosine kinase inhibitors. Lung Cancer 2013;79:283–8.
-
(2013)
Lung Cancer
, vol.79
, pp. 283-288
-
-
Nishino, M.1
Cardarella, S.2
Dahlberg, S.E.3
Jackman, D.M.4
Ramaiya, N.H.5
Hatabu, H.6
-
54
-
-
84994805830
-
Elimination of unaltered dna in mixed clinical samples via nuclease-assisted minor-allele enrichment
-
Song C, Chen S, Yibin L, Rachel F, Alexander M, Harvey M, et al. Elimination of unaltered DNA in mixed clinical samples via nuclease-assisted minor-allele enrichment. Nucleic Acids Res 2016;44: e146.
-
(2016)
Nucleic Acids Res
, vol.44
, pp. e146
-
-
Song, C.1
Chen, S.2
Yibin, L.3
Rachel, F.4
Alexander, M.5
Harvey, M.6
-
55
-
-
84874645692
-
Genomic sequencing of meningiomas identifies oncogenic smo and akt1 mutations
-
Brastianos PK, Horowitz PM, Santagata S, Jones RT, McKenna A, Getz G, et al. Genomic sequencing of meningiomas identifies oncogenic SMO and AKT1 mutations. Nat Genet 2013;45:285–9.
-
(2013)
Nat Genet
, vol.45
, pp. 285-289
-
-
Brastianos, P.K.1
Horowitz, P.M.2
Santagata, S.3
Jones, R.T.4
McKenna, A.5
Getz, G.6
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