Q (haiku): How many patients and samples are in the MSK-CHORD Study? ▶ list_studies { "search": "MSK CHORD" } ✗ error Error: No such tool available: mcp__navigator__list_studies ▶ list_studies { "search": "MSK CHORD" } ◀ result {"result":[{"cancer_study_identifier":"msk_chord_2024","name":"MSK-CHORD (MSK, Nature 2024)","type_of_cancer_id":"mixed","sample_count":25040,"has_guide":true,"url":"https://www.cbioportal.org/study/summary?id=msk_chord_2024"}]} ▶ get_study_guide { "study_id": "msk_chord_2024" } ◀ result # MSK-CHORD (MSK, Nature 2024) **Study ID:** `msk_chord_2024` ## Overview Targeted sequencing via MSK-IMPACT panels. Clinical annotations include some derived from natural language processing (denoted NLP). **Exactly five cancer types** (`CANCER_TYPE`, patients): Non-Small Cell Lung Cancer 7,809, Colorectal Cancer 5,543, Breast Cancer 5,368, Prostate Cancer 3,211, Pancreatic Cancer 3,109. There is **no melanoma** or any other cancer type; say so up front if asked, instead of substituting another type. **No therapy-response variable.** There is no RECIST, objective response, or best-response attribute or event. For treatment-outcome questions (e.g. immunotherapy response), say this first; the only proxies are `OS_MONTHS`/`OS_STATUS`, or NLP radiology progression events (`Diagnosis` events with `SUBTYPE = 'Progression'`, key `PROGRESSION` = Y/N/Indeterminate), in patients with `Treatment` events of the relevant `SUBTYPE` (e.g. `Immuno`: 3,341 patients). Hand off the comparison to cBioPortal group comparison / survival. **Nearly one sample per patient: 24,950 patients / 25,040 samples.** Only 90 patients have more than one sample, and all 90 have samples from two different cancer types (second primaries); only 26 have both a `Primary` and a `Metastasis` sample. There is no meaningful same-patient (paired) primary-vs-metastasis cohort. For "same patient" / paired questions, say this up front, then offer the **unpaired** comparison of all `Primary` vs `Metastasis` samples (`SAMPLE_TYPE`), labelled as unpaired. ```sql SELECT countIf(n > 1) AS multi_sample_patients, -- 90 countIf(has_p AND has_m) AS primary_and_met -- 26 FROM (SELECT patient_unique_id, count() AS n, has(groupArray(attribute_value), 'Primary') AS has_p, has(groupArray(attribute_value), 'Metastasis') AS has_m FROM clinical_data_derived WHERE cancer_study_identifier = 'msk_chord_2024' AND attribute_name = 'SAMPLE_TYPE' GROUP BY patient_unique_id); ``` ## Gene Panels This study uses multiple MSK-IMPACT panel versions: - **IMPACT341**: Earlier version, 341 genes - **IMPACT410**: 410 genes - **IMPACT468**: 468 genes - **IMPACT505**: Latest version, 505 genes **Important:** Different samples may have different gene coverage. Always use gene-specific denominators when calculating mutation frequencies. ## Clinical Attributes - Semantic Guide ### Cancer Classification | Attribute | Description | Values | |-----------|-------------|--------| | `CANCER_TYPE` | Broad cancer category | e.g., "Non-Small Cell Lung Cancer", "Breast Cancer" | | `CANCER_TYPE_DETAILED` | Specific subtype | e.g., "Lung Adenocarcinoma", "Invasive Ductal Carcinoma" | | `ONCOTREE_CODE` | OncoTree classification code | Standardized cancer type codes | ### Sample Information | Attribute | Description | Values | |-----------|-------------|--------| | `SAMPLE_TYPE` | Sample origin | Primary, Metastasis, Local Recurrence, Unknown | | `SAMPLE_CLASS` | Sample … (5439 more chars) ═ answer (success) ## MSK-CHORD Study: Patient and Sample Counts **Study:** [MSK-CHORD (MSK, Nature 2024)](https://www.cbioportal.org/study/summary?id=msk_chord_2024) - **Patients:** 24,950 - **Samples:** 25,040 The study is nearly one sample per patient. Only 90 patients have multiple samples (mostly second primary cancers), so the cohort is effectively unpaired. The study covers five cancer types: Non-Small Cell Lung Cancer (7,809 patients), Colorectal Cancer (5,543), Breast Cancer (5,368), Prostate Cancer (3,211), and Pancreatic Cancer (3,109).