Abstract: The disclosure generally relates to the preparation of representative samples from clinical samples, e.g., tumors (whole or in part), lymph nodes, metastases, cysts, polyps, or a combination or portion thereof, using mechanical and/or biochemical dissociation methods to homogenize intact samples or large portions thereof. The resulting homogenate provides the ability to obtain a correct representative sample despite spatial heterogeneity within the sample, increasing detection likelihood of low prevalence subclones, and is suitable for use in various diagnostic assays as well as the production of therapeutics, especially “personalized” anti-tumor vaccines or immune cell based therapies.

Abstract: The disclosure generally relates to the preparation of representative samples from clinical samples, e.g., tumors (whole or in part), lymph nodes, metastases, cysts, polyps, or a combination or portion thereof, using mechanical and/or biochemical dissociation methods to homogenize intact samples or large portions thereof. The resulting homogenate provides the ability to obtain a correct representative sample despite spatial heterogeneity within the sample, increasing detection likelihood of low prevalence subclones, and is suitable for use in various diagnostic assays as well as the production of therapeutics, especially “personalized” anti-tumor vaccines or immune cell based therapies.

Abstract: The disclosure generally relates to the preparation of representative samples from clinical samples, e.g., tumors (whole or in part), lymph nodes, metastases, cysts, polyps, or a combination or portion thereof, using mechanical and/or biochemical dissociation methods to homogenize intact samples or large portions thereof. The resulting homogenate provides the ability to obtain a correct representative sample despite spatial heterogeneity within the sample, increasing detection likelihood of low prevalence subclones, and is suitable for use in various diagnostic assays as well as the production of therapeutics, especially “personalized” anti-tumor vaccines or immune cell based therapies.

Abstract: Provided herein are methods of analyzing stage II colorectal cancer (CRC) samples (such as those that are mis-match repair proficient, pMMR), by scoring G-alpha interacting vesicle associated protein (GIV, also known as girdin) full-length (GIV-fl) expression in combination with lymphovascular invasion (LVI) status or clinical variables. The disclosed methods can be used to identify GIV-fl expressing tumors that are likely to recur (high risk) and those that are not likely to recur (high risk). Subjects identified as having a high risk CRC can be selected to receive chemotherapy or biotherapy for the CRC. Thus, in some examples, the disclosed methods can be used to identify CRC tumors that are likely to respond to chemotherapy or biotherapy. Also provided are computer implemented methods, systems, and kits that can be used with these methods.