| Literature DB >> 26498363 |
Brandon G Smaglo1, Anteneh Tesfaye2, Thorvardur R Halfdanarson3, Joshua E Meyer4, Jue Wang5, Zoran Gatalica6, Sandeep Reddy6, David Arguello6, Patrick M Boland7.
Abstract
Anal squamous cell carcinoma (ASCC) is a rare, HPV-associated malignancy typically diagnosed in early stages and definitively treated with chemoradiation. In situations where patients exhibit metastatic or recurrent disease, treatment options are severely limited. In this study, molecular alterations were identified that could be used to aid in therapeutic decisions for patients with metastatic or recurrent anal squamous cell carcinoma. Specimens from patients with this cancer were tested via a multiplatform profiling service (Caris Life Sciences, Phoenix, AZ) consisting of gene sequencing, protein expression by immunohistochemistry, and gene amplification with in situ hybridization. Utilizing these techniques, novel treatment strategies that could be explored were identified, including potential benefit with anti-EGFR therapies, immune checkpoint inhibitors, topoisomerase inhibitors, and taxanes. The frequency of overexpression of proteins that mark resistance to chemotherapeutic drugs, such as MRP1 (chemotherapy efflux pump), ERCC1 (resistance to platinum-based chemotherapy), and thymidylate synthase (resistance to fluoropyrimidines) were also identified, suggesting a lack of benefit. This multiplatform strategy could be explored for its potential to generate a personalized treatment selection for patients with advanced ASCC, provide a guide for future therapeutic development for this cancer, and be extended to other rare cancer types as well.Entities:
Keywords: anal squamous cell carcinoma; biomarker analysis; tumor profile
Mesh:
Substances:
Year: 2015 PMID: 26498363 PMCID: PMC4791253 DOI: 10.18632/oncotarget.6202
Source DB: PubMed Journal: Oncotarget ISSN: 1949-2553
Figure 1Distribution of sites of the submitted formalin fixed paraffin embedded samples of metastatic disease
The distribution of protein biomarker as identified by IHC, summarized by frequency and by ratio of positive to total number tested
| Biomarker by IHC | Frequency % (n positive/N tested) |
|---|---|
| MRP1 | 97.6 (81/83) |
| EGFR | 88.5 (23/26) |
| TOP2A | 84.5 (131/155) |
| MGMT | 68.8 (119/173) |
| TOPO1 | 67.3 (113/168) |
| RRM1 | 59.5 (100/168) |
| ERCC1 | 50.5 (54/107) |
| PD-1 | 50 (6/12) |
| PTEN | 46.4 (83/179) |
| TS | 45.9 (79/172) |
| BCRP | 38.9 (14/36) |
| TLE3 | 30.4 (28/92) |
| ER | 15.6 (27/173) |
| cMET | 15.6 (14/90) |
| PDGFRA | 14 (6/43) |
| TUBB3 | 12.5 ((9/72) |
| PR | 10.3 (18/174) |
| PGP | 8.1 (12/149) |
| cKIT | 5.7 (5/88) |
| AR | 1.8 (13/168) |
| HER2 | 0/180 |
| PD-L1 | 0/12 |
Footnote indicates biomarkers with increased resistance to a drug and/or drug class when expressed.
Figure 2Percentages of biomarkers found to be positive by theranostic immunohistochemistry (IHC), as ranked from highest to lowest
The frequency of gene amplification within anal squamous cell carcinoma as determined by in situ hybridization [ISH] is summarized
| ISH test | Frequency % (n positive/N tested) |
|---|---|
| 7.4 (5/68) | |
| 2 (2/99) | |
| 0 (0/69) | |
| 0 (0/18) | |
| 0 (0/3) |
The frequency of mutation rates within anal squamous cell carcinoma as determined by next generation sequencing (NGS) or Sanger sequencing is summarized
| Gene | Platform | Frequency % (n positive/N tested) |
|---|---|---|
| NGS | 32.6 (28/86) | |
| Sanger | 23.3 (7/30) | |
| NGS | 14.8 (8/54) | |
| NGS | 14 (8/57) | |
| NGS | 12.5 (1/8) | |
| NGS | 12.5 (1/8) | |
| NGS | 5.3 (3/57) | |
| NGS | 3.6 (2/56) | |
| Sanger | 2 (2/99) | |
| NGS | 1.9 (1/53) | |
| NGS | 1.8 (1/55) | |
| NGS | 1.8 (1/56) | |
| NGS | 1.8 (1/56) | |
| NGS | 1.8 (1/56) | |
| NGS | 1.8 (1/56) | |
| NGS | 1.8 (1/57) | |
| NGS | 1.8 (1/57) | |
| NGS | 1.8 (1/57) | |
| NGS | 1.5 (1/68) |
Genes tested for mutations with no samples testing positive, is summarized by number tested, as determined by next generation sequencing (NGS) or Sanger sequencing
| Gene | Platform | N tested |
|---|---|---|
| NGS | 68 | |
| NGS | 67 | |
| NGS | 68 | |
| NGS | 68 | |
| NGS | 68 | |
| NGS | 68 | |
| NGS | 68 | |
| NGS | 68 | |
| NGS | 68 | |
| NGS | 67 | |
| NGS | 55 | |
| NGS | 39 | |
| NGS | 68 | |
| NGS | 54 | |
| NGS | 54 | |
| NGS | 68 | |
| NGS | 68 | |
| NGS | 68 | |
| NGS | 68 | |
| NGS | 68 | |
| NGS | 68 | |
| NGS | 67 | |
| NGS | 68 | |
| NGS | 68 | |
| NGS | 68 | |
| NGS | 68 | |
| NGS | 67 | |
| NGS | 67 | |
| NGS | 53 | |
| NGS | 66 | |
| Sanger | 37 | |
| Sanger | 19 | |
| Sanger | 4 | |
| Sanger | 15 |
In 12 cases, more than one simultaneous gene mutation was identified in a single tumor sample by NGS. The compositions of the multi-mutations are summarized
| Number of co-mutations | Number of cases | Mutation combinations |
|---|---|---|
| 2 | 11 | |
| 4 | 1 |