Multi-omic characterization of RCC1 expression and its association with molecular alterations, immune phenotypes, and cancer outcomes.

Authors

null

Brian Warnecke

University of California Irvine School of Medicine, Orange, CA

Brian Warnecke , Misako Nagasaka , Mohammed Najeeb Al Hallak , Sahar Bannoura , Chul Kim , Andrew Elliott , Balazs Halmos , Dave S. Hoon , Sourat Darabi , Alex Patrick Farrell , Ammar Sukari , Milan Radovich , Emil Lou , George W. Sledge Jr., Wafik S. El-Deiry , Asfar S. Azmi

Organizations

University of California Irvine School of Medicine, Orange, CA, Barbara Ann Karmanos Cancer Institute, Detroit, MI, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, Caris Life Sciences, Phoenix, AZ, Montefiore Einstein Center for Cancer Care, Bronx, NY, St. John's Cancer Institute, Santa Monica, CA, Hoag Family Cancer Institute, Newport Beach, CA, University of Minnesota, Minneapolis, MN, Brown University, Providence, RI

Research Funding

No funding received
None.

Background: Regulator of Chromosome Condensation 1 (RCC1) is the only identified guanine nucleotide exchange factor for the Ras-related nuclear protein Ran and it functions in nuclear transport, cell cycle and DNA damage response. Overexpressed in several cancer types, RCC1 is associated with poor outcomes. We aim to investigate the role of aberrant RCC1 co-alterations and association with immune phenotypes and cancer outcomes. Methods: DNA (592-gene or whole exome)/RNA (whole transcriptome) sequencing was performed at Caris Life Sciences (Phoenix, AZ). Samples were stratified by RCC1 expression quartile thresholds (Q1:low, Q4:high) for small cell lung (SCLC, n=876), non-small cell lung (NSCLC, n=21603), gastric (GC, n=1908), pancreatic (PC, n=5071) and colorectal (CRC, n=14892) cancers. PD-L1+ expression was tested by IHC (22c3: ³1%; SP142: ³2+, 5%). TMB-High was defined as ³ 10 mutations/MB. Overall survival (OS) was calculated using Kaplan-Meier estimate. Statistical significance was determined using chi-square and Wilcoxon rank sum test and adjusted for multiple comparisons (*P<0.05). Results: Median RCC1 expression was highest in SCLC (14.3 transcript per million [TPM]), followed by GC (9.9), NSCLC (9.9), CRC (9.8), and PC (6.9). TMB-high rates increased progressively with RCC1 expression in NSCLC (Q1-Q4 range: 31-41%*), GC (7-22%*) and CRC (3-13%*), consistent with dMMR/MSI-high rates in GC (5-18%*) and CRC (3-13%*). Similar trends were observed for PDL1+ rates in PC (Q1-Q4 range: 13-20%*), CRC (2-5%*) and NSCLC (55-58%*). In NSCLC, TP53 (Q1-Q4 range: 57-77%*), RB1 (7-13%*), and EGFR (10-15%*) mutations were seen more with higher RCC1 expression, while STK11 (15-10%*) and KRAS (33-21%*) mutations were seen less. In PC, TP53 mutations (Q1-Q4 range: 70-85%*) and MYC amplifications (1-4%*) were seen more with RCC1 expression, whereas ATM mutations were seen less (6-3%). In CRC, TP53 (Q1-Q4 range: 70-81%*) and APC (72-81%*) mutations were seen more with RCC1 expression, while GNAS mutations were seen less (4-2%*). In both SCLC and NSCLC, high RCC1 expression was associated with increased dendritic cell (5-6%* and .8-1.3%*, respectively) and NK cell fractions (5-6%* and 2.5-3.2%*) and decreased Treg fractions (1.8-1.3%* and 3.0-2.6%*). In pMMR/MSS CRC, high RCC1 expression was associated with increased dendritic cell (.6-.9%*), NK cell (3-4%*), neutrophil (6-8%*) and CD4 T cell fractions (1.1-1.2%*) and decreased CD8 T cell (.5-.4%*) and Treg fractions (1.9-1.7%*). High RCC1 expression was associated with worse OS in NSCLC (HR 1.3*), PC (HR 1.5*) and CRC (HR 1.3*), with a similar but not significant effect in SCLC (HR 1.2) and GC (HR 1.2). Conclusions: RCC1 expression is a negative prognostic marker in NSCLC, PC, and CRC. Further studies to investigate this at the molecular level may be a potential opportunity for novel targeted drug development.

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Abstract Details

Meeting

2023 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Developmental Therapeutics—Molecularly Targeted Agents and Tumor Biology

Track

Developmental Therapeutics—Molecularly Targeted Agents and Tumor Biology

Sub Track

Tissue-Based Biomarkers

Citation

J Clin Oncol 41, 2023 (suppl 16; abstr 3128)

DOI

10.1200/JCO.2023.41.16_suppl.3128

Abstract #

3128

Poster Bd #

326

Abstract Disclosures