MMIST ccRCC Dataset

ccRCC is the most common type of kidney cancer, making up to 80% of all renal cell carcinoma cases in adults. Estimating the prognosis is critical for patient management, but is still a very challenging task. The ongoing research on this topic has led to the creation of two public studies:CPTAC-CCRCC and TCGA-KIRC, from which we curated MMIST-ccRCC.

Number of modalities across the Dataset

Patients CT MRI WSI Genomics Clinical
Train 497 189 35 497 361 497
Test 121 59 13 121 101 121
Total 618 248 48 618 462 618

MMIST Lung Dataset

Lung cancer remains one of the most prevalent and lethal malignancies. The MMIST Lung Dataset is a curated multi-center, multi-modal, and longitudinal dataset comprising 1,365 lung cancer patients, including 1,026 patients from TCGA and 339 patients from CPTAC. The dataset was curated from CPTAC-LSCC, CPTAC-LUAD, TCGA-LUSC, and TCGA-LUAD, covering both lung squamous cell carcinoma (LUSC/LSCC) and lung adenocarcinoma (LUAD). It integrates clinical data, transcriptomic profiles, whole-slide images (WSI), CT and PET scans, as well as longitudinal follow-up and treatment information.

Human lungs

Distribution of patients per modality in the Dataset

Modality Patients Missingness Alive @12 months Deceased @12 months
Clinical 1365 0% 1169 (86%) 196 (14%)
Transcriptomics 1284 6% 1107 (86%) 177 (14%)
Follow-up 880 35% 777 (88%) 103 (12%)
Chemotherapy 277 80% 245 (88%) 32 (12%)
Radiation Therapy 923 32% 804 (87%) 119 (13%)
Surgery 291 79% 250 (86%) 41 (14%)
Immunotherapy 49 96% 45 (92%) 4 (8%)
WSI 1359 0.4% 1164 (86%) 195 (14%)
CT 71 95% 58 (82%) 13 (18%)
PET 33 98% 26 (79%) 7 (21%)

How to cite us?

Get in Touch at