GRCh38 · COSMIC v92


This section shows a general overview of information for the selected study (COSU identifier) or publication (COSP identifier). Studies may have been performed by the Sanger Institute Cancer Genome Project, or imported from the ICGC/TCGA. You can see more information on the help pages.

EGFR mono-antibody salvage therapy for locally advanced and distant metastatic penile cancer: Clinical outcomes and genetic analysis.
Paper ID
Huang KB, Liu RY, Peng QH, Li ZS, Jiang LJ, Guo SJ, Zhou QH, Liu TY, Deng CZ, Yao K, Qin ZK, Liu ZW, Li YH, Han H and Zhou FJ
Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou , China.
Urologic oncology, 2019;37(1):71-77
ISSN: 1873-2496
PMID: 30446465 (view at PubMed or Europe PMC)
Purpose: There are limited therapeutic options for patients with advanced penile squamous cell carcinoma (PSCC) after chemotherapy failure. Thus, we evaluated the feasibility of salvage treatment using the epidermal growth factor receptor (EGFR) mono-antibody nimotuzumab in chemotherapy-failed PSCC patients and explored potential response or resistance biomarkers.Six chemotherapy-failed PSCC patients with locally advanced disease or distant metastasis were enrolled consecutively to nimotuzumab treatment. Clinical responses and side effects were evaluated, and genetic characteristics of cancer specimens were analyzed through the next-generation sequencing of hotspot regions in cancer-related genes.Results: Two of 6 patients showed partial responses, one was identified as having stable disease, while the other 3 had disease progression after nimotuzumab therapy. Side effects were all welltolerated. Genetic analysis revealed that TP53, CDKN2A, RB1, SMAD4, FLT3, and PIK3CA were the most frequently mutated genes in PSCC specimens, while altered KRAS, HRAS, EGFR, ERBB2, and FLT3 may be correlated with nimotuzumab resistance. Furthermore, 3 patients that were human papillomavirus-positive each showed clinical response or stable disease.Conclusions: EGFR mono-antibody may be a potential modality for locally advanced PSCC patients after chemotherapy failure. Further large-scale clinical studies are needed to elucidate the role of human papillomavirus status and critical gene mutations in the clinical response to EGFR-targeted therapy.
Paper Status
Genes Analysed
Mutated Samples
Total No. of Samples

Mutation Matrix

This section shows the correlation plot between the top 20 genes and samples. There is more information in our help pages.


This table shows genes with mutations in the selected study/paper [more details]
Genes Mutated Samples
This table shows genes without mutations in the selected study/paper [more details]
Non-Mutant Genes Gene Id (COSG)


This tab shows genes with mutations in the selected study/paper [more details]

Genes Samples CDS Mutation AA Mutation

This tab shows non coding variant in the selected study/paper [more details]

Sample ID Sample Name ID NCV Annotation Zygosity Chromosome Genome start Genome stop Genome version Strand WT seq Mut seq FATHMM-MKL

This tab shows the gene expression and copy number variation data for this study [more details]

Table Information


The table currently shows only high value (numeric) copy number data. Copy number segments are excluded if the total copy number and minor allele values are unknown.

Click here to include all copy number data. For more detailed information about copy number data and gain/loss definitions click here.

Sample Gene Expression Expr Level (Z-Score)

Over Expressed; Z-Score > 2.0

Under Expressed; Z-Score < -2.0

Normal; Z-Score within the range -2.0 to 2.0

CN Type Minor Allele Copy Number CN Segment Posn. Average Ploidy

1. N/A represents cases where the average ploidy value is not available( mostly ICGC samples). For some TCGA samples where the minor allele information is not available the average ploidy value could not be calculated.

2. For TCGA samples, the ASCAT algorithm was used to calculate the average ploidy.

3. For CGP samples, the PICNIC algorithm was used to calculate the average ploidy.


This table lists the samples in the selected study which have low/high methylation for each gene. [more details]

No data

This tab shows the fusion mutations observed in this sample [more details]

Gene Sample Name Id Sample(COSS) CDS Mutation Somatic status Zygosity Validated Type


This table shows mutated samples in the selected study/paper.

Sample Name Mutation Count

This table shows samples without mutations in the selected study/paper.

Non-Mutant Samples Sample Id (COSS)