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2017-12-01

Fig 7. The role of FGFR1-PLAG1 and TGFBR3-PLAG1 in MECA development.

Fig 7. The role of FGFR1-PLAG1 and TGFBR3-PLAG1 in MECA development.
  • Dalin M, Katabi N, Persson M, Lee KW, Makarov V, Desrichard A, Walsh L, West L, Nadeem Z, Ramaswami D, Havel J

  • Nat Commun. 2017 Oct 30;8(1):1197.
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2017-12-04

Fig 2. Melanoma brain metastasis response to concurrent SRS and pembrolizumab.

Fig 2. Melanoma brain metastasis response to concurrent SRS and pembrolizumab.
  • Anderson ES, Postow MA, Wolchok JD, Young RJ, Ballangrud Å, Chan TA, Yamada Y, Beal K

  • J Immunother Cancer. 2017 Oct 17;5(1):76.

2017-12-05

Fig 3. Schematic representation of the EGFR signaling pathway.

Fig 3. Schematic representation of the EGFR signaling pathway.
  • Vakiani E

  • Surg Pathol Clin. 2017 Dec;10(4):1009-1020.

2017-12-06

Fig 4. CTC phenotypic features, cell subtype classifications, and Shannon index of CTC phenotypic entropy in patient samples.

Fig 4. CTC phenotypic features, cell subtype classifications, and Shannon index of CTC phenotypic entropy in patient samples.
  • Scher HI, Graf RP, Schreiber NA, McLaughlin B, Jendrisak A, Wang Y, Lee J, Greene S, Krupa R, Lu D, Bamford P

  • Cancer Res. 2017 Oct 15;77(20):5687-5698.

2017-12-07

Fig 5. Demonstration of the extent of mismatch at 8 HLA alleles of CB units selected based on 4 to 6/6 HLA-A, -B antigen, and -DRB1 allele donor–recipient HLA match (n = 377) [37]. The 4 to 6/6 HLA-A, -B antigen, -DRB1 allele donor–recipient match to the patient is shown.

Fig 5. Demonstration of the extent of mismatch at 8 HLA alleles of CB units selected based on 4 to 6/6 HLA-A, -B antigen, and -DRB1 allele donor–recipient HLA match (n = 377) [37]. The 4 to 6/6 HLA-A, -B antigen, -DRB1 allele donor–recipient match to the patient is shown.
  • Barker JN, Kurtzberg J, Ballen K, Boo M, Brunstein C, Cutler C, Horwitz M, Milano F, Olson A, Spellman S, Wagner JE, Delaney C, Shpall E

  • Biol Blood Marrow Transplant. 2017 Jun;23(6):882-896.

2017-12-08

Fig 1. Somatic mutations observed. Heatmap showing the 30 genes most frequently affected by mutations in 98 tumors subjected to targeted massively parallel sequencing from 49 patients with CBC.

Fig 1. Somatic mutations observed. Heatmap showing the 30 genes most frequently affected by mutations in 98 tumors subjected to targeted massively parallel sequencing from 49 patients with CBC.
  • Begg CB, Ostrovnaya I, Geyer FC, Papanastasiou AD, Ng CK, Sakr RA, Bernstein JL, Burke KA, King TA, Piscuoglio S, Mauguen A

  • Int J Cancer. 2018 Jan 15;142(2):347-356.

2017-12-12

Fig 1.  ISH analysis of LGR5 expression in normal human small and large intestine.

Fig 1. ISH analysis of LGR5 expression in normal human small and large intestine.
  • Martin ML, Zeng Z, Adileh M, Jacobo A, Li C, Vakiani E, Hua G, Zhang L, Haimovitz-Friedman A, Fuks Z, Kolesnick R

  • Cell Signal. 2017 Sep 25;42:97-105.

2017-12-13

Fig 2. Ternary crystal structure of cGAS with dsDNA and RU.365.

Fig 2. Ternary crystal structure of cGAS with dsDNA and RU.365.
  • Vincent J, Adura C, Gao P, Luz A, Lama L, Asano Y, Okamoto R, Imaeda T, Aida J, Rothamel K, Gogakos T, Steinberg J, Reasoner S, Aso K, Tuschl T, Patel DJ, Glickman JF, Ascano M

  • Nat Commun. 2017 Sep 29;8(1):750.
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2017-12-14

Fig 2. Benchmarking SplashRNA prediction performance.

Fig 2. Benchmarking SplashRNA prediction performance.
  • Pelossof R, Fairchild L, Huang CH, Widmer C, Sreedharan VT, Sinha N, Lai DY, Guan Y, Premsrirut PK, Tschaharganeh DF, Hoffmann T

  • Nat Biotechnol. 2017 Apr;35(4):350-353.

2017-12-15

Fig 3. Hyperactive MAPK signalling triggers bronchiolar carcinoma by transdifferentiation of club cells.

Fig 3. Hyperactive MAPK signalling triggers bronchiolar carcinoma by transdifferentiation of club cells.
  • Nieto P, Ambrogio C, Esteban-Burgos L, Gómez-López G, Blasco MT, Yao Z, Marais R, Rosen N, Chiarle R, Pisano DG, Barbacid M

  • Nature. 2017 Aug 10;548(7666):239-243.

2017-12-18

Fig 1. Kaplan-Meier curves comparing the original and new melanoma-GPA.

Fig 1. Kaplan-Meier curves comparing the original and new melanoma-GPA.
  • Sperduto PW, Jiang W, Brown PD, Braunstein S, Sneed P, Wattson DA, Shih HA, Bangdiwala A, Shanley R, Lockney NA, Beal K

  • Int J Radiat Oncol Biol Phys. 2017 Nov 15;99(4):812-816.

2017-12-19

Fig 2. Alpha-synuclein oligomers and cytosolic DA amplify each other and synergistically contribute to oxidative stress.

Fig 2. Alpha-synuclein oligomers and cytosolic DA amplify each other and synergistically contribute to oxidative stress.
  • Puspita L, Chung SY, Shim JW

  • Mol Brain. 2017 Nov 28;10(1):53.
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2017-12-20

Fig 5. Detection of endolysosomal lipid accumulation in live cells.

Fig 5. Detection of endolysosomal lipid accumulation in live cells.
  • Jena PV, Roxbury D, Galassi TV, Akkari L, Horoszko CP, Iaea DB, Budhathoki-Uprety J, Pipalia NH, Haka AS, Harvey JD, Mittal J, Maxfield FR, Joyce JA, Heller DA

  • ACS Nano. 2017 Nov 28;11(11):10689-10703.

2017-12-21

Fig 4. Distribution of expected variants vs. incidental pathogenic variants.

Fig 4. Distribution of expected variants vs. incidental pathogenic variants.
  • Cheng DT, Prasad M, Chekaluk Y, Benayed R, Sadowska J, Zehir A, Syed A, Wang YE, Somar J, Li Y, Yelskaya Z

  • BMC Med Genomics. 2017 May 19;10(1):33.
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2017-12-22

Fig 1. Azacitidine Synergizes with Sequential HDACi for Reducing Cell Proliferation.

Fig 1. Azacitidine Synergizes with Sequential HDACi for Reducing Cell Proliferation.
  • Topper MJ, Vaz M, Chiappinelli KB, DeStefano Shields CE, Niknafs N, Yen RC, Wenzel A, Hicks J, Ballew M, Stone M, Tran PT, Zahnow CA, Hellmann MD, Anagnostou V, Strissel PL, Strick R, Velculescu VE, Baylin SB

  • Cell. 2017 Nov 30;171(6):1284-1300.e21.

2017-12-26

Fig 7. Differential utilization of GRIP1 phosphorylation at GR-regulated genes.

Fig 7. Differential utilization of GRIP1 phosphorylation at GR-regulated genes.
  • Tharmalingam B, Rollins DA, Rogatsky I, Kharlyngdoh JB, Coppo M, Sacta MA, Pufall MA, Fisher RP, Mimouna S, Hu X, Chinenov Y

  • Nat Commun. 2017 Nov 23;8(1):1739.
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2017-12-27

Fig 6. Ketamine enhances ERK signaling pathway.

Fig 6. Ketamine enhances ERK signaling pathway.
  • Ma Z, Zang T, Birnbaum SG, Wang Z, Johnson JE, Zhang CL, Parada LF

  • Nat Commun. 2017 Nov 21;8(1):1668.
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2017-12-28

Fig 2. Diagnostic algorithm for the evaluation of high-grade (G3) pancreatic neuroendocrine neoplasms. In select cases of high-grade pancreatic neuroendocrine neoplasms, distinguishing between pancreatic neuroendocrine tumours (PanNETs) and pancreatic neuroendocrine carcinomas (PanNECs) can be challenging, but applying an algorithmic approach can facilitate an accurate diagnosis. This approach relies upon integrating associated clinical, imaging and laboratory data, a thorough pathological review of the specimen and prior specimens and immunohistochemical ancillary studies. Adapted from Tang et al.

Fig 2. Diagnostic algorithm for the evaluation of high-grade (G3) pancreatic neuroendocrine neoplasms. In select cases of high-grade pancreatic neuroendocrine neoplasms, distinguishing between pancreatic neuroendocrine tumours (PanNETs) and pancreatic neuroendocrine carcinomas (PanNECs) can be challenging, but applying an algorithmic approach can facilitate an accurate diagnosis. This approach relies upon integrating associated clinical, imaging and laboratory data, a thorough pathological review of the specimen and prior specimens and immunohistochemical ancillary studies. Adapted from Tang et al.
  • Singhi AD, Klimstra DS

  • Histopathology. 2018 Jan;72(1):168-177.

2017-12-29

Graphical Abstract

Graphical Abstract
  • Seegar TCM, Killingsworth LB, Saha N, Meyer PA, Patra D, Zimmerman B, Janes PW, Rubinstein E, Nikolov DB, Skiniotis G, Kruse AC, Blacklow SC

  • Cell. 2017 Dec 14;171(7):1638-1648.e7.