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Institute seminar February 27th Guro Elisabeth Lind

The Institute Seminar on Wednesday February 27th will ble held by Guro Elisabeth Lind from Section of Cancer Prevention.
Title of her talk: ”Epigenetic biomarkers in cancer – their functional and clinical importance”.

Time and place: 12 - 13 in the Auditorium, New Research Building, Montebello

Links:

Guro E. Lind's group: Epigenetics

Guro E. Lind's publications

Section of Cancer Prevention

Insitute seminars, spring season 2013

 
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Recent publications

From major journals, first or last author from the Institute for Cancer Research

Høyvik AJK, Stenberg VY, Liukaityte R, Repetto-Llamazares A, Peng Q, Wangen-Riise R, Wiig E, Ma LW, Revheim ME, Juzeniene A (2025)
Optimizing [212Pb]Pb-AB001 Radiopharmaceutical Therapy Schedules in PSMA-Positive Subcutaneous Prostate Cancer Xenografts
J Nucl Med (in press)
DOI 10.2967/jnumed.125.270444, PubMed 41043994

Pharo H, Vedeld HM, Wahlqvist R, Lind GE (2025)
Re: Thomas Dreyer, Simone Brandt, Knud Fabrin, et al. Use of the Xpert Bladder Cancer Monitor Urinary Biomarker Test for Guiding Cystoscopy in High-grade Non-muscle-invasive Bladder Cancer: Results from the Randomized Controlled DaBlaCa-15 Trial. Eur Urol 2025;88:23-30
Eur Urol (in press)
DOI 10.1016/j.eururo.2025.07.028, PubMed 40998632

Pfefferle A, Malmberg KJ (2025)
Rewiring natural killer cells for next-generation cancer therapies
Cancer Cell (in press)
DOI 10.1016/j.ccell.2025.08.007, PubMed 40972573

More selected publications

Most recent publications

Emaldi M, Rey-Iborra E, Alamillo-Maeso P, Pulido R, Nunes-Xavier CE (2026)
Analysis of the Functional Impact of Glycosylation on Immune Checkpoint Proteins
Methods Mol Biol, 2959, 55-72
DOI 10.1007/978-1-0716-4734-9_4, PubMed 41028258

Rey-Iborra E, Emaldi M, Madariaga M, Pulido R, Nunes-Xavier CE (2026)
3D Spheroids to Study the Impact of Immune Checkpoint Proteins in Solid Tumors
Methods Mol Biol, 2959, 141-156
DOI 10.1007/978-1-0716-4734-9_10, PubMed 41028264

Laura Szekeres, Zobolas J (2025)
PyDrugLogics: A Python Package for Predicting Drug Synergies Using Boolean Models
Journal of Open Source Software, 10 (114), 8038
DOI 10.21105/joss.08038, PublikaID 548

More publications

Annual summary of publications

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