Skip to main content

Table 3 Combinations of neuroendocrine biomarkers are enriched in specific malignant tissue types.

From: Pro-neural transcription factors as cancer markers

Hes6 tumour. hits Fgr Bgr p. value Reference
Colon 93 252 1534 2.74E-014 [26, 38]
Uterus 39 94 1692 3.24E-008 -
Rectosigmoid 12 27 1759 0.00043528 -
Rectum 12 32 1754 0.00303994 -
Hes6/DDC tumour. hits Fgr Bgr p. value Reference
Colon 197 252 1534 0 -
Rectosigmoid 21 27 1759 1.42E-009 -
Rectum 23 32 1754 5.03E-009 -
Liver 24 38 1748 1.65E-007 -
Kidney 75 214 1572 0.00040486 -
Stomach 5 8 1778 0.00476289 -
Hes6/CHGA tumour. hits Fgr Bgr p. value Reference
Colon 89 252 1534 0 -
Uterus 42 94 1692 6.80E-013 -
Endometrium 30 71 1715 6.50E-009 -
Rectosigmoid 13 27 1759 1.02E-005 -
Rectum 13 32 1754 0.00011383 -
Stomach 4 8 1778 0.00324489 -
NTS tumour. hits Fgr Bgr p. value Reference
Lung 36 108 1678 1.29E-010 [39]
Ovary 32 170 1616 0.00143643 [40]
Small intestine 3 6 1780 0.00226141 [41]
Ascl1 tumour. hits Fgr Bgr p. value Reference
Breast 40 317 1469 8.27E-008 -
Lung 20 108 1678 3.76E-007 [42, 43]
Ascl1/Hes6/NTS/DDC tumour. hits Fgr Bgr p. value Reference
Lung 15 108 1678 3.79E-006 -
Rectosigmoid 4 27 1759 0.00421239 -
  1. A hypergeometric distribution was used to generate the p-values for each present tumour type. Tumour types mapping to less than 3 samples per group have been filtered out. References included do mention studies that relate the biomarker/s with human carcinoma tissue and most of them include very small sets of samples.
  2. Neuroendocrine biomarkers enrich for specific malignant tissue types in a multi-tumour dataset. Samples from the ExpO expression dataset were clustered based on the expression of neuroendocrine genesets (Hes6, Hes6-Chga, Hes6-Ddc, Ascl1, Ascl1-Hes6-Nts-Ddc). Clusters were defined by a median expression level with a threshold level three-fold greater than the average intensity across all samples. These sample groups were tested for enrichment of malignant tissue type when compared to the complete dataset as background. The p-values were calculated using a hyper-geometric distribution and represent the probability of obtaining the reported level of enrichment had the samples been selected at random.