Malignant Esophageal Neoplasm

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Associated Genetic Biomarkers

Overview

Malignant esophageal neoplasms most frequently harbor alterations in TP53, CDKN2A, ERBB2, KRAS, and ARID1A [2].

Most Commonly Altered Genes in Malignant Esophageal Neoplasm

TP53 Mutation, TP53 Missense, TP53 c.217-c.1178 Missense, TP53 Exon 8 Mutation, and TP53 Exon 5 Mutation are the most common alterations in malignant esophageal neoplasm [2].

Top Alterations in Malignant Esophageal Neoplasm

Biomarker-Directed Therapies

View Therapies for Malignant Esophageal Neoplasm

Of the biomarker-directed therapies for malignant esophageal neoplasm, 0 are FDA-approved in at least one setting and 2 have NCCN guidelines in at least one setting [3].

Pembrolizumab +

Disease is predicted to be sensitive: -

Biomarker Criteria:

Sample must match all of the following:

PD-L1 Expression

Clinical Setting(s): Metastatic (NCCN)

Note: Recommended for recurrent locally advanced or metastatic tumors expresssing PD-L1 [Combined Positive Score (CPS) >=1] with disease progression on or after two or more prior lines of therapy including fluoropyrimidine- and platinum-containing chemotherapy and if appropriate, HER2/neu-targeted therapy.

Biomarker Criteria: Sample must match all of the following: PD-L1 Expression	Clinical Setting(s): Metastatic (NCCN)
	Note: Recommended for recurrent locally advanced or metastatic tumors expresssing PD-L1 [Combined Positive Score (CPS) >=1] with disease progression on or after two or more prior lines of therapy including fluoropyrimidine- and platinum-containing chemotherapy and if appropriate, HER2/neu-targeted therapy.

Trastuzumab +

Clinical Trials

View Clinical Trials for Malignant Esophageal Neoplasm

Significant Genes in Malignant Esophageal Neoplasm

ERBB2 +

Disease Details

Parent(s)

Malignant Esophagogastric Neoplasm

Children

Esophageal Granular Cell Tumor, Esophageal Melanoma, Esophageal Carcinoma, Esophageal Lymphoma, and Esophageal Sarcoma

References

1. National Cancer Institute. NCI Thesaurus Version 18.11d. https://ncit.nci.nih.gov/ncitbrowser/ [2018-08-28]. [2018-09-21].

2. The AACR Project GENIE Consortium. AACR Project GENIE: powering precision medicine through an international consortium. Cancer Discovery. 2017;7(8):818-831. Dataset Version 8. This dataset does not represent the totality of the genetic landscape; see paper for more information.

3. All assertions and clinical trial landscape data are curated from primary sources. You can read more about the curation process here.

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