Cancer Biology

  1. Use of signals of positive and negative selection to distinguish cancer genes and passenger genes

    1. László Bányai
    2. Maria Trexler
    3. Krisztina Kerekes
    4. Orsolya Csuka
    5. László Patthy

    Reviewed by eLife

    1 evaluationAppears in 1 listLatest version Latest activity

  2. A MAPK/miR-29 Axis Suppresses Melanoma by Targeting MAFG and MYBL2

    1. Olga Vera
    2. Ilah Bok
    3. Neel Jasani
    4. Koji Nakamura
    5. Xiaonan Xu
    6. Nicol Mecozzi
    7. Ariana Angarita
    8. Kaizhen Wang
    9. Kenneth Y. Tsai
    10. Florian A. Karreth

    Reviewed by eLife

    4 evaluationsAppears in 1 listLatest version Latest activity

  3. Tumor stiffening reversion through collagen crosslinking inhibition improves T cell migration and anti-PD-1 treatment

    1. Alba Nicolas-Boluda
    2. Javier Vaquero
    3. Lene Vimeux
    4. Thomas Guilbert
    5. Sarah Barrin
    6. Chahrazade Kantari-Mimoun
    7. Matteo Ponzo
    8. Gilles Renault
    9. Piotr Deptula
    10. Katarzyna Pogoda
    11. Robert Bucki
    12. Ilaria Cascone
    13. José Courty
    14. Laura Fouassier
    15. Florence Gazeau
    16. Emmanuel Donnadieu

    Reviewed by eLife

    4 evaluationsAppears in 1 listLatest version Latest activity

  4. Treatment with tumor-treating fields (TTFields) suppresses intercellular tunneling nanotube formation in vitro and upregulates immuno-oncologic biomarkers in vivo in malignant mesothelioma

    1. Akshat Sarkari
    2. Sophie Korenfeld
    3. Karina Deniz
    4. Katherine Ladner
    5. Phillip Wong
    6. Sanyukta Padmanabhan
    7. Rachel I Vogel
    8. Laura A Sherer
    9. Naomi Courtemanche
    10. Clifford Steer
    11. Kerem Wainer-Katsir
    12. Emil Lou

    • Curated by eLife

      eLife assessment

      Overall, this is an interesting topic of study, and the conclusions could be of relevance more broadly. However, mechanistic support, limited TTF frequencies/timing, and visual support of the quantitative data would be critical in order to provide convincing and rigorous support for this interesting concept.

    Reviewed by eLife

    4 evaluationsAppears in 1 listLatest version Latest activity

  5. Construction of competing endogenous RNA interaction network as prognostic markers in metastatic melanoma

    1. Zan He
    2. Zijuan Xin
    3. Yongfei Peng
    4. Hua Zhao
    5. Xiangdong Fang

    Reviewed by PeerJ

    3 evaluationsAppears in 1 listLatest version Latest activity

  6. The Erlang distribution approximates the age distribution of incidence of childhood and young adulthood cancers

    1. Aleksey V. Belikov
    2. Alexey Vyatkin
    3. Sergey V. Leonov

    Reviewed by PeerJ

    4 evaluationsAppears in 1 listLatest version Latest activity

  7. Glioblastoma extracellular vesicles influence glial cell hyaluronic acid deposition to promote invasiveness

    1. Dominik Koessinger
    2. David Novo
    3. Anna Koessinger
    4. America Campos
    5. Jasmine Peters
    6. Louise Dutton
    7. Peggy Paschke
    8. Désirée Zerbst
    9. Madeleine Moore
    10. Louise Mitchell
    11. Matthew Neilson
    12. Katrina Stevenson
    13. Anthony Chalmers
    14. Stephen Tait
    15. Joanna Birch
    16. Jim Norman

    Reviewed by preLights

    1 evaluationAppears in 1 listLatest version Latest activity

  8. The antiviral effects of a MEK1/2 inhibitor promote tumor regression in a preclinical model of human papillomavirus infection-induced tumorigenesis

    1. Adrian J. Luna
    2. Jesse M. Young
    3. Rosa T. Sterk
    4. Virginie Bondu
    5. Fred A. Schultz
    6. Donna F. Kusewitt
    7. Huining Kang
    8. Michelle A. Ozbun

    Reviewed by preLights

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Flat clathrin lattices are linked to metastatic potential in colorectal cancer

    1. Charlotte Cresens
    2. Guillermo Solís-Fernández
    3. Astha Tiwari
    4. Rik Nuyts
    5. Johan Hofkens
    6. Rodrigo Barderas
    7. Susana Rocha

    Reviewed by preLights

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Functional synapses between neurons and small cell lung cancer

    1. Vignesh Sakthivelu
    2. Anna Schmitt
    3. Franka Odenthal
    4. Kristiano Ndoci
    5. Marian Touet
    6. Ali H. Shaib
    7. Abdulla Chihab
    8. Gulzar A. Wani
    9. Pascal Nieper
    10. Griffin G. Hartmann
    11. Isabel Pintelon
    12. Ilmars Kisis
    13. Maike Boecker
    14. Naja M. Eckert
    15. Manoela Iannicelli Caiaffa
    16. Olta Ibruli
    17. Julia Weber
    18. Roman Maresch
    19. Christina M. Bebber
    20. Ali Chitsaz
    21. Anna Lütz
    22. Mira Kim Alves Carpinteiro
    23. Kaylee M. Morris
    24. Camilla A. Franchino
    25. Jonas Benz
    26. Laura Pérez-Revuelta
    27. Jorge A. Soriano-Campos
    28. Maxim A. Huetzen
    29. Jonas Goergens
    30. Milica Jevtic
    31. Hannah M. Jahn-Kelleter
    32. Hans Zempel
    33. Aleksandra Placzek
    34. Alexandru A. Hennrich
    35. Karl-Klaus Conzelmann
    36. Hannah L. Tumbrink
    37. Pascal Hunold
    38. Joerg Isensee
    39. Lisa Werr
    40. Felix Gaedke
    41. Astrid Schauss
    42. Marielle Minère
    43. Marie Müller
    44. Henning Fenselau
    45. Yin Liu
    46. Alena Heimsoeth
    47. Gülce S. Gülcüler Balta
    48. Henning Walczak
    49. Christian Frezza
    50. Ron D. Jachimowicz
    51. Julie George
    52. Marcel Schmiel
    53. Johannes Brägelmann
    54. Tim Hucho
    55. Silvia von Karstedt
    56. Martin Peifer
    57. Alessandro Annibaldi
    58. Robert Hänsel-Hertsch
    59. Thorsten Persigehl
    60. Holger Grüll
    61. Martin L. Sos
    62. Guido Reifenberger
    63. Matthias Fischer
    64. Dirk Adriaensen
    65. Reinhard Büttner
    66. Julien Sage
    67. Inge Brouns
    68. Roland Rad
    69. Roman K. Thomas
    70. Max Anstötz
    71. Silvio O. Rizzoli
    72. Matteo Bergami
    73. Elisa Motori
    74. Hans Christian Reinhardt
    75. Filippo Beleggia

    Reviewed by preLights

    1 evaluationAppears in 1 listLatest version Latest activity
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