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Paper 1 molpath > TSGs and oncogenes quick > Flashcards

TSGs and oncogenes quick Flashcards

1
Q

Templeton 2014

A

RTK = worse OS

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2
Q

Konduri 2016

A

EGDR-RAD51

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3
Q

Bang 2017

A

margetuximab better than trastuzumab

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4
Q

Harvey 1964

A

ras sarcoma rats

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5
Q

Mulcahy 85

A

Ras + serum, anti ras abs

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6
Q

Filmus 94

A

Ras + anti cyclin D = decrease prolif

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7
Q

mituhashi 1995

A

Ras and VEGF

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8
Q

AMG510

A

KRAS NSCLC 2019 50% response rates phase 1

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9
Q

Davies 2002

A

dna seq 66% mal mel

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10
Q

Chapman 11

A

84 64 74

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11
Q

Bar-Peled 2013

A

Gator

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12
Q

Yao 2011

A

everolimus for neuroendocrine PFS

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13
Q

Colman 2009

A

rhesus fasting

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14
Q

Decamps 2005

A

mice fasting

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15
Q

Kerr Wylie and Currie 1972

A

n con cell frag phago

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16
Q

Sulston 76

A

1090 c el

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17
Q

Horvitz 83

A

ced 3 and ced 4

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18
Q

Evan 1992

A

apoptosis rat 1 myc

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19
Q

serrano 97

A

sensence fibro G12V HRAS

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20
Q

Patton 05

A

zebrafish braf

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21
Q

Montes de oca luna 95

A

double mdm2 and p53 ko

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22
Q

Bond 2004

A

seq mdm2 sp1

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23
Q

Dannenburg 2000

A

TKO S phase

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24
Q

Foijer 2005

A

TKO apoptosis bcl2 rni p53

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25
Q

Hockenbury 90

A

bcl2 lymph lifespan

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26
Q

Strasser 90

A

bcl2 + Mac = faster tumours

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27
Q

Beroukhim 2010

A

increase bcl2 in solid

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28
Q

Blombery 2019

A

pre/post venetoclax mutation for res

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29
Q

He 2007

A

mir37 p53 chip

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30
Q

daige2014

A

1/3 mice reg mir34

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31
Q

APR246

A

MDS pIII 44 CR

32
Q

Lu ox 2001

A

ASPP and apoptosis

33
Q

Nunney 18

A

height and cancer

34
Q

Xentuzumab

A

ifn1/2 non visceral

35
Q

martincorema 2015

A

skin drivers

36
Q

martincorema 2018

A

oesophageal drivers

37
Q

Nicolas 2003

A

notch1 as tsg

38
Q

wodarz 2007

A

computation model - dont stop apoptosis

39
Q

RTK = worse OS

A

Templeton 2014

40
Q

EGDR-RAD51

A

Konduri 2016

41
Q

margetuximab better than trastuzumab

A

Bang 2017

42
Q

ras sarcoma rats

A

Harvey 1964

43
Q

Ras + serum, anti ras abs

A

Mulcahy 85

44
Q

Ras + anti cyclin D = decrease prolif

A

Filmus 94

45
Q

Ras and VEGF

A

mituhashi 1995

46
Q

KRAS NSCLC 2019 50% response rates phase 1

A

AMG510

47
Q

dna seq 66% mal mel

A

Davies 2002

48
Q

84 64 74

A

Chapman 11

49
Q

Gator

A

Bar-Peled 2013

50
Q

everolimus for neuroendocrine PFS

A

Yao 2011

51
Q

rhesus fasting

A

Colman 2009

52
Q

mice fasting

A

Decamps 2005

53
Q

n con cell frag phago

A

Kerr Wylie and Currie 1972

54
Q

1090 c el

A

Sulston 76

55
Q

ced 3 and ced 4

A

Horvitz 83

56
Q

apoptosis rat 1 myc

A

Evan 1992

57
Q

sensence fibro G12V HRAS

A

serrano 97

58
Q

zebrafish braf

A

Patton 05

59
Q

double mdm2 and p53 ko

A

Montes de oca luna 95

60
Q

seq mdm2 sp1

A

Bond 2004

61
Q

TKO S phase

A

Dannenburg 2000

62
Q

TKO apoptosis bcl2 rni p53

A

Foijer 2005

63
Q

bcl2 lymph lifespan

A

Hockenbury 90

64
Q

bcl2 + Mac = faster tumours

A

Strasser 90

65
Q

increase bcl2 in solid

A

Beroukhim 2010

66
Q

pre/post venetoclax mutation for res

A

Blombery 2019

67
Q

mir37 p53 chip

A

He 2007

68
Q

1/3 mice reg mir34

A

daige2014

69
Q

MDS pIII 44 CR

A

APR246

70
Q

ASPP and apoptosis

A

Lu ox 2001

71
Q

height and cancer

A

Nunney 18

72
Q

ifn1/2 non visceral

A

Xentuzumab

73
Q

skin drivers

A

martincorema 2015

74
Q

oesophageal drivers

A

martincorema 2018

75
Q

notch1 as tsg

A

Nicolas 2003

76
Q

computation model - dont stop apoptosis

A

wodarz 2007

Paper 1 molpath (18 decks)

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