Q (sonnet): In TCGA colorectal cancer, do patients with high PTK2 expression have different survival from patients with low PTK2 expression? In Colorectal Adenocarcinoma (TCGA, PanCancer Atlas), the Kaplan-Meier curves for patients with PTK2 mRNA above vs below the median look slightly apart, with the high-PTK2 group doing a little worse early on. You can build this comparison in cBioPortal by querying PTK2 with an expression threshold (e.g. `PTK2: EXP>0`) and opening the Comparison → Survival tab. Continue this conversation: reply to the user's new message. is the difference in survival significant? ▶ resolve_and_route { "studyKeywords": [ "colorectal", "TCGA", "pan_can_atlas" ] } ◀ result {"success":true,"message":"Found 1 study. Use the metadata to call the appropriate navigation tool(s).","data":{"totalCount":1,"studiesWithMetadata":[{"studyId":"coadread_tcga_pan_can_atlas_2018","name":"Colorectal Adenocarcinoma (TCGA, PanCancer Atlas)","sampleCount":594,"studyViewUrl":"https://www.cbioportal.org/study?id=coadread_tcga_pan_can_atlas_2018","metadata":{"clinicalAttributeIds":["AGE","AJCC_PATHOLOGIC_TUMOR_STAGE","AJCC_STAGING_EDITION","ANEUPLOIDY_SCORE","BUFFA_HYPOXIA_SCORE","CANCER_TYPE","CANCER_TYPE_ACRONYM","CANCER_TYPE_DETAILED","DAYS_LAST_FOLLOWUP","DAYS_TO_BIRTH","DAYS_TO_INITIAL_PATHOLOGIC_DIAGNOSIS","DFS_MONTHS","DFS_STATUS","DSS_MONTHS","DSS_STATUS","ETHNICITY","FORM_COMPLETION_DATE","FRACTION_GENOME_ALTERED","GENETIC_ANCESTRY_LABEL","GRADE","HISTORY_NEOADJUVANT_TRTYN","ICD_10","ICD_O_3_HISTOLOGY","ICD_O_3_SITE","INFORMED_CONSENT_VERIFIED","IN_PANCANPATHWAYS_FREEZE","MSI_SCORE_MANTIS","MSI_SENSOR_SCORE","MUTATION_COUNT","NEW_TUMOR_EVENT_AFTER_INITIAL_TREATMENT","ONCOTREE_CODE","OS_MONTHS","OS_STATUS","OTHER_PATIENT_ID","PATH_M_STAGE","PATH_N_STAGE","PATH_T_STAGE","PERSON_NEOPLASM_CANCER_STATUS","PFS_MONTHS","PFS_STATUS","PRIMARY_LYMPH_NODE_PRESENTATION_ASSESSMENT","PRIOR_DX","RACE","RADIATION_THERAPY","RAGNUM_HYPOXIA_SCORE","SAMPLE_COUNT","SAMPLE_TYPE","SEX","SOMATIC_STATUS","SUBTYPE","TBL_SCORE","TISSUE_PROSPECTIVE_COLLECTION_INDICATOR","TISSUE_RETROSPECTIVE_COLLECTION_INDICATOR","TISSUE_SOURCE_SITE","TISSUE_SOURCE_SITE_CODE","TMB_NONSYNONYMOUS","TUMOR_TISSUE_SITE","TUMOR_TYPE","WEIGHT","WINTER_HYPOXIA_SCORE"],"molecularProfileIds":["coadread_tcga_pan_can_atlas_2018_gistic","coadread_tcga_pan_can_atlas_2018_log2CNA","coadread_tcga_pan_can_atlas_2018_mutations","coadread_tcga_pan_can_atlas_2018_protein_quantification","coadread_tcga_pan_can_atlas_2018_protein_quantification_zscores","coadread_tcga_pan_can_atlas_2018_rna_seq_v2_mrna","coadread_tcga_pan_can_atlas_2018_rna_seq_v2_mrna_median_Zscores","coadread_tcga_pan_can_atlas_2018_rna_seq_v2_mrna_median_all_sample_Zscores","coadread_tcga_pan_can_atlas_2018_rna_seq_v2_mrna_median_all_sample_ref_normal_Zscores","coadread_tcga_pan_can_atlas_2018_rppa","coadread_tcga_pan_can_atlas_2018_rppa_Zscores","coadread_tcga_pan_can_atlas_2018_structural_variants"],"genericAssayProfiles":["coadread_tcga_pan_can_atlas_2018_armlevel_cna","coadread_tcga_pan_can_atlas_2018_genetic_ancestry","coadread_tcga_pan_can_atlas_2018_methylation_hm27_hm450_merge","coadread_tcga_pan_can_atlas_2018_methylation_hm450"],"heatmapProfileIds":["coadread_tcga_pan_can_atlas_2018_protein_quantification_zscores","coadread_tcga_pan_can_atlas_2018_rna_seq_v2_mrna_median_Zscores","coadread_tcga_pan_can_atlas_2018_rna_seq_v2_mrna_median_all_sample_Zscores","coadread_tcga_pan_can_atlas_2018_rna_seq_v2_mrna_median_all_sample_ref_normal_Zscores","coadread_tcga_pan_can_atlas_2018_rppa_Zscores"],"availableComparisonTabs":["overlap","clinical","survival","alterations","mutations","mrna","protein","generic_assay_armlevel_c … (70 more chars) ▶ navigate_to_group_comparison { "studyIds": [ "coadread_tcga_pan_can_atlas_2018" ], "groups": [ { "name": "PTK2 High", "studyViewFilter": { "genomicDataFilters": [ { "hugoGeneSymbol": "PTK2", "profileType": "rna_seq_v2_mrna_median_all_sample_Zscores", "values": [ { "start": 0 } ] } ] } }, { "name": "PTK2 Low", "studyViewFilter": { "genomicDataFilters": [ { "hugoGeneSymbol": "PTK2", "profileType": "rna_seq_v2_mrna_median_all_sample_Zscores", "values": [ { "end": 0 } ] } ] } } ], "tab": "survival" } ◀ result {"success":true,"message":"Navigating to https://www.cbioportal.org/comparison/survival?comparisonId=6ab82241c2115c492d885167","url":"https://www.cbioportal.org/comparison/survival?comparisonId=6ab82241c2115c492d885167","data":{"description":"Group comparison (2 custom groups)","studies":["coadread_tcga_pan_can_atlas_2018"],"totalGroups":2,"groups":[{"name":"PTK2 High","sampleCount":295},{"name":"PTK2 Low","sampleCount":297}],"studyViewUrl":"https://www.cbioportal.org/study?id=coadread_tcga_pan_can_atlas_2018","groupUrls":[{"groupName":"PTK2 High","url":"https://www.cbioportal.org/study?id=coadread_tcga_pan_can_atlas_2018#filterJson=%7B%22genomicDataFilters%22%3A%5B%7B%22hugoGeneSymbol%22%3A%22PTK2%22%2C%22profileType%22%3A%22rna_seq_v2_mrna_median_all_sample_Zscores%22%2C%22values%22%3A%5B%7B%22start%22%3A0%7D%5D%7D%5D%7D"},{"groupName":"PTK2 Low","url":"https://www.cbioportal.org/study?id=coadread_tcga_pan_can_atlas_2018#filterJson=%7B%22genomicDataFilters%22%3A%5B%7B%22hugoGeneSymbol%22%3A%22PTK2%22%2C%22profileType%22%3A%22rna_seq_v2_mrna_median_all_sample_Zscores%22%2C%22values%22%3A%5B%7B%22end%22%3A0%7D%5D%7D%5D%7D"}],"pageDescription":"Kaplan-Meier survival analysis comparing PTK2 High (295) vs PTK2 Low (297)."}} ═ answer (success) I've set up the formal comparison for you in **Colorectal Adenocarcinoma (TCGA, PanCancer Atlas)**: - **PTK2 High** (z-score ≥ 0): 295 samples - **PTK2 Low** (z-score < 0): 297 samples [View PTK2 High vs Low — Survival Comparison](https://www.cbioportal.org/comparison/survival?comparisonId=6ab82241c2115c492d885167) Opening this link will show the Kaplan-Meier curves for overall survival (and other endpoints, like disease-free survival, if you switch the outcome selector) along with the **log-rank p-value** computed directly on the page — that's the proper significance test for this comparison, and I'd rather point you to it than guess at a number. A couple of notes on interpreting it once you're there: - Check the number of events (deaths) in each group, not just sample size — if events are sparse, the median survival line may show "not reached," which limits how confident you can be in any p-value. - If you want a different split point (e.g., quartiles instead of median z-score) rather than an above/below-zero z-score cutoff, let me know and I can rebuild the groups.