PATENT CLAIM ANALYSIS

Application Number: 15876732
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["514", "04400R"]

Abstract:
Provided herein are methods for determining the risk that a subject diagnosed with colorectal cancer will develop a recurrence of colorectal cancer and methods of predicting clinical outcome for a subject diagnosed with colorectal cancer by a) determining the level of expression for each marker of a panel of markers in a panel of tumor compartments in a tumor tissue sample from the subject, wherein the panel of markers comprises at least two of TEM1, HIF2α, CAIX, PDGFRβ, fibronectin, collagen I, collagen IV, and CD31 and wherein the panel of tumor compartments comprises at least three tumor compartments of pure stroma, tumor, stromal vessel, and tumor vessel; b) determining the TAPPS score for said subject; and c) comparing the TAPPS score of the subject to the TAPPS score of a population of subjects diagnosed with colorectal cancer. Also provided are related computer-implemented methods and systems, kits, and tumor microarrays.

Claim (Index 6):
The kit of  claim 1 , wherein each of said labels comprises a radiolabel, a fluorophore, an epitope tag, biotin, a chromophore label, an ECL label, an enzyme, ruthenium,  111 In-DOTA, DAB (3, 3\u2032-diaminobenzidine),  111 In-diethylenetriaminepentaacetic acid (DTPA), horseradish peroxidase, alkaline phosphatase and beta-galactosidase, or poly-histidine.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 2.25333
- Patent Class: 514.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14770840', '15302728', '14765071', '14028287', '15275043']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7466162830034868
- 35 USC 102 Novelty (BERT): 0.5935638795330132
- Combined Prediction Score: 0.7313110426564395
- Mean Citation Score: 327.907352
- Max Citation Score: 691.30884
- Similarity Product: 381.93924036578176

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test