Reference Detail

Contact

Missing content? – Request curation!

Request curation for specific Genes, Variants, or PubMed publications.

Have questions, comments, or suggestions? - Let us know!

Email us at : ckbsupport@genomenon.com

Ref Type Journal Article
PMID (29973670)
Authors Dupuis F, Lamant L, Gerard E, Torossian N, Chaltiel L, Filleron T, Beylot-Barry M, Dutriaux C, Prey S, Gros A, Jullie ML, Meyer N, Vergier B
Title Clinical, histological and molecular predictors of metastatic melanoma responses to anti-PD-1 immunotherapy.
URL
Abstract Text Prescribing anti-programmed death-1 (PD-1) immunotherapy for advanced melanoma is currently not restricted by any biomarker assessment. Determination of programmed death-ligand-1 (PD-L1)-expression status is technically challenging and is not mandatory, because negative tumours also achieve therapeutic responses. However, reproducible biomarkers predictive of a response to anti-PD-1 therapy could contribute to improving therapeutic decision-making.This retrospective study on 70 metastatic melanoma patients was undertaken to evaluate the relationships between clinical, histological, immunohistochemical and/or molecular criteria, and the 6-month objective response rate.Better objective response rates were associated with metachronous metastases (P = 0.04), PD-L1 tumour- and/or immune-cell status (P = 0.01), CD163+ histiocytes at advancing edges (P = 0.009) of primary melanomas and NRAS mutation (P = 0.019). Moreover, CD163+ histiocytes at advancing edges (P = 0.04) were associated with longer progression-free survival (PFS), and metachronous metastases with longer overall survival (P = 0.02) and PFS (P = 0.049).Combining these reproducible biomarkers could help improve therapeutic decision-making for patients with progressive disease.

Filtering

  • Case insensitive filtering will display rows if any text in any cell matches the filter term
  • Use simple literal full or partial string matches
  • Separate multiple filter terms with a space. Any order may be used (i. e. a b c and c b a are equivalent )
  • Filtering will only apply to rows that are already loaded on the page. Filtering has no impact on query parameters.
  • Use quotes to match on a longer phrase with spaces (i.e. "mtor c1483f")

Sorting

  • Generally, the default sort order for tables is set to be first column ascending; however, specific tables may set a different default sort order.
  • Click on any column header arrows to sort by that column
  • Hold down the Shift key and click multiple columns to sort by more than one column. Be sure to set ascending or descending order for a given column before moving on to the next column.

Molecular Profile Treatment Approach
Gene Name Source Synonyms Protein Domains Gene Description Gene Role
Therapy Name Drugs Efficacy Evidence Clinical Trials
Drug Name Trade Name Synonyms Drug Classes Drug Description
Gene Variant Impact Protein Effect Variant Description Associated with drug Resistance
Molecular Profile Indication/Tumor Type Response Type Therapy Name Approval Status Evidence Type Efficacy Evidence References
NRAS mutant melanoma predicted - sensitive Pembrolizumab Clinical Study - Cohort Actionable In a clinical study, NRAS mutations were associated with higher 6-month objective response rate (53.3% vs. 19.6% without NRAS mutations; p=0.019) following treatment with Keytruda (pembrolizumab) or Opdivo (nivolumab) in patients with metastatic melanoma, however, progression-free survival and overall survival were similar between patients with and without NRAS mutations (PMID: 29973670). 29973670
NRAS mutant melanoma predicted - sensitive Nivolumab Clinical Study - Cohort Actionable In a clinical study, NRAS mutations were associated with higher 6-month objective response rate (53.3% vs. 19.6% without NRAS mutations; p=0.019) following treatment with Keytruda (pembrolizumab) or Opdivo (nivolumab) in patients with metastatic melanoma, however, progression-free survival and overall survival were similar between patients with and without NRAS mutations (PMID: 29973670). 29973670