diff --git a/public/msk_met_2021/data_clinical_patient.txt b/public/msk_met_2021/data_clinical_patient.txt
index 97a2f88799..537d2e2165 100644
--- a/public/msk_met_2021/data_clinical_patient.txt
+++ b/public/msk_met_2021/data_clinical_patient.txt
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6adc59b2c965fd6b163296625018650ff01369a9480a330d5641d40bfafdb623
-size 1650828
+oid sha256:61e7835e4fcf5b2821baa9ada4543dea74785c376042291c5b444cd3944ca09a
+size 1650827
diff --git a/public/msk_spectrum_tme_2022/meta_study.txt b/public/msk_spectrum_tme_2022/meta_study.txt
index 54de22318d..f2355490c4 100755
--- a/public/msk_spectrum_tme_2022/meta_study.txt
+++ b/public/msk_spectrum_tme_2022/meta_study.txt
@@ -3,4 +3,6 @@ cancer_study_identifier: msk_spectrum_tme_2022
 name: Ovarian Cancer - MSK SPECTRUM (MSK, Nature 2022)
 description: Multi-region, multi-modal profiling of 42 untreated high-grade serous ovarian cancer (HGSOC) patients. This study reports an integrative analysis of mutational processes and their impact on the tumor microenvironment using single-cell RNA sequencing, whole-genome sequencing, targeted sequencing (MSK-IMPACT), digital histopathology and multiplexed immunofluorescence. The study is part of a prospective research program to understand the spatio-temporal determinants of HGSOC evolution, treatment and response (MSK SPECTRUM: Memorial Sloan Kettering - SPatio-temporal Evolution in Cancer TRaced Using Multi-modalities).
 groups: PUBLIC
-short_name: SPECTRUM (MSK, 2022)
\ No newline at end of file
+short_name: SPECTRUM (MSK, 2022)
+pmid: 36517593
+citation: Ignacio et al. Nature 2022
\ No newline at end of file