Predictive Potential of RNA Polymerase B (II) Subunit 1 (RPB1) Cytoplasmic Aggregation for Neoadjuvant Chemotherapy Failure

Int J Mol Sci. 2023 Nov 1;24(21):15869. doi: 10.3390/ijms242115869.

Abstract

We aimed to investigate the contribution of co-translational protein aggregation to the chemotherapy resistance of tumor cells. Increased co-translational protein aggregation reflects altered translation regulation that may have the potential to buffer transcription under genotoxic stress. As an indicator for such an event, we followed the cytoplasmic aggregation of RPB1, the aggregation-prone largest subunit of RNA polymerase II, in biopsy samples taken from patients with invasive carcinoma of no special type. RPB1 frequently aggregates co-translationally in the absence of proper HSP90 chaperone function or in ribosome mutant cells as revealed formerly in yeast. We found that cytoplasmic foci of RPB1 occur in larger sizes in tumors that showed no regression after therapy. Based on these results, we propose that monitoring the cytoplasmic aggregation of RPB1 may be suitable for determining-from biopsy samples taken before treatment-the effectiveness of neoadjuvant chemotherapy.

Keywords: CCR4-NOT; RNAPII; RPB1; aggregation; assemblysomes; condensates; epirubicin; invasive carcinoma of no special type; neoadjuvant therapy.

MeSH terms

  • Humans
  • Neoadjuvant Therapy
  • Protein Aggregates
  • RNA Polymerase II* / genetics
  • Saccharomyces cerevisiae / metabolism
  • Saccharomyces cerevisiae Proteins* / metabolism

Substances

  • RNA Polymerase II
  • Protein Aggregates
  • Saccharomyces cerevisiae Proteins
  • RPB1 protein, S cerevisiae

Grants and funding

This work was supported by grants OTKA-142961, GINOP-2.3.2-15-2016-00020, and GINOP-2.3.2-15-2016-00038, as well as by ÚNKP-19-4-SZTE-118, ÚNKP-21-5-595-SZTE (Z.V.) GINOP-2.2.1-15-2017-00052, 2019-1.1.1-PIACI-KFI-2019-00080, ÚNKP-21-5-SZTE-563, ÚNKP-22-5-SZTE-318 (T.P.), ÚNKP-23-3-SZTE-311 (N.Ö.), NKFI-FK 132080, NTP-NFTÖ-21-B-0043 (B.N.B.) from the Hungarian National Research, Development and Innovation Office. Further support was provided by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences (BO/902/19 for Z.V. and BO/27/20 for T.P.). The project has received funding from the EU’s Horizon 2020 research and innovation program under grant agreement No. 739593. Project no. TKP-2021-EGA-05 has been implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, funded by the TKP2021-EGA grant program (T.P.). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.