1
|
Freeman SS, Sade-Feldman M, Kim J, Stewart C, Gonye AL, Ravi A, Arniella MB, Gushterova I, LaSalle TJ, Blaum EM, Yizhak K, Frederick DT, Sharova T, Leshchiner I, Elagina L, Spiro OG, Livitz D, Rosebrock D, Aguet F, Carrot-Zhang J, Ha G, Lin Z, Chen JH, Barzily-Rokni M, Hammond MR, Vitzthum von Eckstaedt HC, Blackmon SM, Jiao YJ, Gabriel S, Lawrence DP, Duncan LM, Stemmer-Rachamimov AO, Wargo JA, Flaherty KT, Sullivan RJ, Boland GM, Meyerson M, Getz G, Hacohen N. Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma. Cell Rep Med 2022; 3:100500. [PMID: 35243413 PMCID: PMC8861826 DOI: 10.1016/j.xcrm.2021.100500] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 09/26/2021] [Accepted: 12/20/2021] [Indexed: 12/20/2022]
Abstract
Immune checkpoint blockade (CPB) improves melanoma outcomes, but many patients still do not respond. Tumor mutational burden (TMB) and tumor-infiltrating T cells are associated with response, and integrative models improve survival prediction. However, integrating immune/tumor-intrinsic features using data from a single assay (DNA/RNA) remains underexplored. Here, we analyze whole-exome and bulk RNA sequencing of tumors from new and published cohorts of 189 and 178 patients with melanoma receiving CPB, respectively. Using DNA, we calculate T cell and B cell burdens (TCB/BCB) from rearranged TCR/Ig sequences and find that patients with TMBhigh and TCBhigh or BCBhigh have improved outcomes compared to other patients. By combining pairs of immune- and tumor-expressed genes, we identify three gene pairs associated with response and survival, which validate in independent cohorts. The top model includes lymphocyte-expressed MAP4K1 and tumor-expressed TBX3. Overall, RNA or DNA-based models combining immune and tumor measures improve predictions of melanoma CPB outcomes.
Collapse
Affiliation(s)
- Samuel S. Freeman
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Moshe Sade-Feldman
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Jaegil Kim
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Chip Stewart
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Anna L.K. Gonye
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Arvind Ravi
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Irena Gushterova
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Thomas J. LaSalle
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Emily M. Blaum
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Keren Yizhak
- Department of Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 2611001, Israel
| | - Dennie T. Frederick
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Tatyana Sharova
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Ignaty Leshchiner
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - Oliver G. Spiro
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Dimitri Livitz
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - François Aguet
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jian Carrot-Zhang
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Gavin Ha
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle 98109, WA, USA
| | - Ziao Lin
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Harvard University, Cambridge MA, 02138
| | - Jonathan H. Chen
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Pathology, Massachusetts General Hospital, Boston 02114, MA, USA
| | - Michal Barzily-Rokni
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Marc R. Hammond
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - Shauna M. Blackmon
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Yunxin J. Jiao
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Stacey Gabriel
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Donald P. Lawrence
- Department of Medical Oncology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Lyn M. Duncan
- Department of Pathology, Massachusetts General Hospital, Boston 02114, MA, USA
| | | | - Jennifer A. Wargo
- Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Keith T. Flaherty
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Ryan J. Sullivan
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Genevieve M. Boland
- Department of Surgery, Massachusetts General Hospital, Boston 02115, MA, USA
| | - Matthew Meyerson
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Department of Genetics, Harvard Medical School, Boston 02115, MA, USA
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
- Harvard University, Cambridge MA, 02138
- Department of Pathology, Harvard Medical School, Boston 02115, MA, USA
| | - Nir Hacohen
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, Boston 02115, MA, USA
| |
Collapse
|
2
|
Zhou Y, Jiao YJ, Wei Y, Yuan PB, Wang XJ, Zhao YY. [Perinatal outcomes of dichorionic triamniotic triplet pregnancy]. Zhonghua Fu Chan Ke Za Zhi 2020; 55:764-769. [PMID: 33228347 DOI: 10.3760/cma.j.cn112141-20200422-00346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To analyze the perinatal outcomes in different methods of multifetal pregnancy reduction in dichorionic triamniotic (DCTA) triplet pregnancy. Methods: A retrospective analysis was performed on 57 cases of DCTA triplets in Peking University Third Hospital from January 1, 2010 to January 1, 2020, including 27 cases in expectant pregnancy group and 30 cases in selective fetal reduction (FR) group. The selective FR group was further divided into 3 subgroups according to different FR methods:retaining monochorionic dichorionic (MCDA) group, retaining dichorionic dichorionic (DCDA) group, and retaining singleton group. The perinatal outcomes of expectant pregnancy group and 3 subgroups of selective FR group were compared. Results: The gestational weeks in selective FR group was (34.5±5.7) weeks, and full-term delivery rate was 53% (16/30), respectively higher than those of the expectant pregnancy group (29.9±6.0) weeks and 7% (2/27). The miscarriage rate of the selective FR group was 10% (3/30), lower than that of the expectant pregnancy group (33%, 9/27). The differences between the two groups were statistically significant (all P<0.05). The ratios of pregnancy complications and newborn admission to neonatal ICU (NICU) in the selective FR group were lower than those of the expectant pregnancy group (all P<0.05). In the selective FR group, the gestational weeks in retaining MCDA group (6 cases), retaining DCDA group (13 cases), and retaining singleton group (11 cases) were (32.2±4.3), (33.0±6.3), and (37.4±4.7) weeks; the miscarriage rates were 1/6, 1/13, and 1/11; the premature delivery rates were 4/6, 7/13, and 0/11; the full-term delivery rates were 1/6, 5/13, and 10/11; pregnancies with at least 1 survivor rates were 5/6, 12/13, and 10/11; NICU occupancy rates were 6/8, 9/18 and 0/10, respectively. The retaining singleton group had the highest rate of full-term delivery and the lowest rate of NICU occupancy. Compared with other groups, the differences were statistically significant (all P<0.05). The full-term delivery rate was significantly higher in the retaining DCDA group than that of the expectant pregnancy group (P<0.05). Conclusions: The risk of DCTA triplet pregnancy is high. Reduction of the MCDA pair to singleton has the highest rate of full-term delivery and the lowest rate of NICU occupancy. For pregnant women who wish to retain twin pregnancy, the risk should be fully informed, and consider reduction of one fetus of the MCDA and retaining DCDA twins to continue pregnancy.
Collapse
Affiliation(s)
- Y Zhou
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - Y J Jiao
- Department of Obstetrics, Tongzhou District Maternal and Child Health Hospital, Beijing 101100, China
| | - Y Wei
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - P B Yuan
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - X J Wang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - Y Y Zhao
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| |
Collapse
|
3
|
Freeman SS, Sade-Feldman M, Kim J, Stewart C, Ravi A, Arniella M, Yizhak K, Leshchiner I, Elagina L, Spiro O, Livitz D, Rosebrock D, Aguet F, Carrot-Zhang J, Gonye A, Ha G, Lin Z, Chen JH, Frederick DT, Barzily-Rokni M, Hammond MR, Vitzthum H, Blackmon SM, Jiao YJ, Lawrence DP, Duncan LM, Stemmer-Rachamimov A, Wargo JA, Flaherty KT, Boland GM, Sullivan RJ, Meyerson M, Getz G, Hacohen N. Abstract 6670: Combined signals from tumor and immune cells predict outcomes of checkpoint inhibition in melanoma. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-6670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Cancer immunotherapy with checkpoint blockade has improved survival and outcomes in melanoma, but still a majority of patients do not respond. Both high tumor mutation burden (TMB) and high T cell infiltration have been associated with response, but integrative models based on DNA or RNA assays have not been comprehensively explored and validated. Focusing on melanomas from patients receiving checkpoint blockade, we generated new and aggregated existing datasets of whole exome sequencing (WES) (n = 189 total) and bulk RNA sequencing (n = 154 total) to derive genomic and transcriptomic factors that predict survival and response to immunotherapy in melanoma.
We quantified T and B cell infiltrates using rearranged T cell receptor (TCR) and immunoglobulin (Ig) sequences, respectively, from DNA or RNA sequencing. High levels of rearranged TCR reads or rearranged Ig reads in RNA-seq were associated with survival (P = 0.0046, P = 0.015) and response (P = 0.0034, P = 0.047). We created RNA-based metrics of T and B cell burden (TCBRNA or BCBRNA) by normalizing the number of rearranged TCR reads by the total number of mapped reads. When we analyzed WES data in patients for whom DNA and RNA were extracted from the same region, we found that the TCBDNA correlated with TCBRNA (rho = 0.73) and BCBDNA with BCBRNA (rho = 0.41), demonstrating that the level of lymphocyte infiltration can be estimated using rearranged TCR or Ig reads from tumor WES alone.
We found that TCBDNA and BCBDNA both associated with survival (P = 0.0023 and 0.0089). In a combined model, patients with high TMB and high TCB DNA survived longer (P = 2.4e-4, HR = 2.68) and had a higher response rate (Fisher P = 0.028). This combined model was superior to models with TMB or TCBDNA alone. Similarly, patients with high TMB and high BCBDNA had longer survival and higher response rates (log-rank P = 0.0029, HR = 2.64, Fisher P = 0.015). We reanalyzed stage III/IV melanomas from TCGA and found that the TMB high, TCBDNA high subgroup had increased survival (P = 0.007).
Next, clustering of tumor transcriptomes identified 5 tumor subtypes based on melanocyte differentiation, immune infiltration and keratin levels. These melanoma subtypes were associated with survival outcomes after immunotherapy (P = 0.019). We found that TBX3, a tumor-expressed transcription factor enriched in poorly differentiated melanomas, was over-expressed among non-responders within the immune-infiltrated subtype and among all patients (P = 3.9e-4, P = 8.7e-5). Patients whose tumors had high immune infiltrate and low expression of TBX3 had longer survival (P = 1.6e-5, HR = 3.39), however this subgroup did not have longer survival in an independent cohort (n = 73, P = 0.10, HR = 2.63). In conclusion, we demonstrate both RNA-based (immune infiltrate and tumor subtype) and DNA-based metrics (TMB/TCB or TMB/BCB) can be used as pre-treatment predictors of survival after checkpoint blockade in melanoma.
Citation Format: Samuel S. Freeman, Moshe Sade-Feldman, Jaegil Kim, Chip Stewart, Arvind Ravi, Monica Arniella, Keren Yizhak, Ignaty Leshchiner, Liudmila Elagina, Oliver Spiro, Dimitri Livitz, Daniel Rosebrock, François Aguet, Jian Carrot-Zhang, Anna Gonye, Gavin Ha, Ziao Lin, Jonathan H. Chen, Dennie T. Frederick, Michal Barzily-Rokni, Marc R. Hammond, Hans Vitzthum, Shauna M. Blackmon, Yunxin J. Jiao, Donald P. Lawrence, Lyn M. Duncan, Anat Stemmer-Rachamimov, Jennifer A. Wargo, Keith T. Flaherty, Genevieve M. Boland, Ryan J. Sullivan, Matthew Meyerson, Gad Getz, Nir Hacohen. Combined signals from tumor and immune cells predict outcomes of checkpoint inhibition in melanoma [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 6670.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Anna Gonye
- 2Massachusetts General Hospital, Boston, MA
| | - Gavin Ha
- 3Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Gad Getz
- 2Massachusetts General Hospital, Boston, MA
| | | |
Collapse
|
4
|
Lin H, Ji YH, Chen XL, Zhu SW, Sun J, Huang CY, Jiao YJ. [Sero-prevalence of Babesia infection among voluntary blood donors in Jiangsu Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2019; 31:516-518. [PMID: 31713382 DOI: 10.16250/j.32.1374.2017209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To evaluate the sero-positivity of Babesia infection in voluntary blood donors in Jiangsu region, so as to provide the evidence for transfusion safety. METHODS A total of 950 blood samples were collected from voluntary blood donors in Jiangsu Provincial Blood Center from February to May, 2017, and detected by double antigen sandwich ELISA targeting peptides derived from B. microti-secreted antigen 1 (BmSA1). The positive samples were confirmed by microscopy and nested-PCR to determine parasitemia. The prevalence of anti-BmSA1 was analyzed between/among different genders, ages and occupations of the blood donors. RESULTS Of the 950 blood screened samples, 5 were positive for anti-BmSA1, and the sero-prevalence of Babesia infection was 0.53%. The 5 samples were all negative by microscopy and nested-PCR. There were no gender- (χ2 = 0.01, P =0.92) or age-specific differences (χ2 = 0.11, P = 0.95) in the sero-prevalence of Babesia infection; however, there was an occupation-specific difference detected in the sero-prevalence of Babesia infection (χ2 = 11.93, P < 0.05). CONCLUSIONS Babesia infection is detected in voluntary blood donors in Jiangsu region, which should be paid much attention.
Collapse
Affiliation(s)
- H Lin
- Jiangsu Provincial Blood Center, Nanjing 210042, China
| | - Y H Ji
- Jiangsu Provincial Center for Diseases Control and Prevention, China
| | - X L Chen
- Jiangsu Provincial Blood Center, Nanjing 210042, China
| | - S W Zhu
- Jiangsu Provincial Blood Center, Nanjing 210042, China
| | - J Sun
- Jiangsu Provincial Blood Center, Nanjing 210042, China
| | - C Y Huang
- Jiangsu Provincial Blood Center, Nanjing 210042, China
| | - Y J Jiao
- Jiangsu Provincial Center for Diseases Control and Prevention, China
| |
Collapse
|
5
|
Wen CHP, Xu HC, Yao Q, Peng R, Niu XH, Chen QY, Liu ZT, Shen DW, Song Q, Lou X, Fang YF, Liu XS, Song YH, Jiao YJ, Duan TF, Wen HH, Dudin P, Kotliar G, Yin ZP, Feng DL. Unveiling the Superconducting Mechanism of Ba_{0.51}K_{0.49}BiO_{3}. Phys Rev Lett 2018; 121:117002. [PMID: 30265111 DOI: 10.1103/physrevlett.121.117002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 07/08/2018] [Indexed: 05/12/2023]
Abstract
The mechanism of high superconducting transition temperatures (T_{c}) in bismuthates remains under debate despite more than 30 years of extensive research. Our angle-resolved photoemission spectroscopy studies on Ba_{0.51}K_{0.49}BiO_{3} reveal an unexpectedly 34% larger bandwidth than in conventional density functional theory calculations. This can be reproduced by calculations that fully account for long-range Coulomb interactions-the first direct demonstration of bandwidth expansion due to the Fock exchange term, a long-accepted and yet uncorroborated fundamental effect in many body physics.Furthermore, we observe an isotropic superconducting gap with 2Δ_{0}/k_{B}T_{c}=3.51±0.05, and strong electron-phonon interactions with a coupling constant λ∼1.3±0.2. These findings solve a long-standing mystery-Ba_{0.51}K_{0.49}BiO_{3} is an extraordinary Bardeen-Cooper-Schrieffer superconductor, where long-range Coulomb interactions expand the bandwidth, enhance electron-phonon coupling, and generate the high T_{c}. Such effects will also be critical for finding new superconductors.
Collapse
Affiliation(s)
- C H P Wen
- State Key Laboratory of Surface Physics, Department of Physics, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, People's Republic of China
| | - H C Xu
- State Key Laboratory of Surface Physics, Department of Physics, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, People's Republic of China
| | - Q Yao
- State Key Laboratory of Surface Physics, Department of Physics, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, People's Republic of China
| | - R Peng
- State Key Laboratory of Surface Physics, Department of Physics, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, People's Republic of China
| | - X H Niu
- State Key Laboratory of Surface Physics, Department of Physics, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, People's Republic of China
| | - Q Y Chen
- Science and Technology on Surface Physics and Chemistry Laboratory, Mianyang 621908, China
| | - Z T Liu
- CAS Center for Excellence in Superconducting Electronics (CENSE), Shanghai 200050, China
- State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences, Shanghai 200050, China
| | - D W Shen
- CAS Center for Excellence in Superconducting Electronics (CENSE), Shanghai 200050, China
- State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences, Shanghai 200050, China
| | - Q Song
- State Key Laboratory of Surface Physics, Department of Physics, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, People's Republic of China
| | - X Lou
- State Key Laboratory of Surface Physics, Department of Physics, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, People's Republic of China
| | - Y F Fang
- State Key Laboratory of Surface Physics, Department of Physics, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, People's Republic of China
| | - X S Liu
- State Key Laboratory of Surface Physics, Department of Physics, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, People's Republic of China
| | - Y H Song
- State Key Laboratory of Surface Physics, Department of Physics, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, People's Republic of China
| | - Y J Jiao
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing 210093, China
| | - T F Duan
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing 210093, China
| | - H H Wen
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing 210093, China
| | - P Dudin
- Diamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE, United Kingdom
| | - G Kotliar
- Department of Physics, Rutgers University, Piscataway, New Jersey 08854, USA
| | - Z P Yin
- Department of Physics and Center for Advanced Quantum Studies, Beijing Normal University, Beijing 100875, China
| | - D L Feng
- State Key Laboratory of Surface Physics, Department of Physics, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, People's Republic of China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing 210093, China
| |
Collapse
|
6
|
Sade-Feldman M, Jiao YJ, Chen JH, Rooney MS, Barzily-Rokni M, Eliane JP, Bjorgaard SL, Hammond MR, Vitzthum H, Blackmon SM, Frederick DT, Hazar-Rethinam M, Nadres BA, Van Seventer EE, Shukla SA, Yizhak K, Ray JP, Rosebrock D, Livitz D, Adalsteinsson V, Getz G, Duncan LM, Li B, Corcoran RB, Lawrence DP, Stemmer-Rachamimov A, Boland GM, Landau DA, Flaherty KT, Sullivan RJ, Hacohen N. Resistance to checkpoint blockade therapy through inactivation of antigen presentation. Nat Commun 2017; 8:1136. [PMID: 29070816 PMCID: PMC5656607 DOI: 10.1038/s41467-017-01062-w] [Citation(s) in RCA: 602] [Impact Index Per Article: 86.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Accepted: 08/15/2017] [Indexed: 12/18/2022] Open
Abstract
Treatment with immune checkpoint blockade (CPB) therapies often leads to prolonged responses in patients with metastatic melanoma, but the common mechanisms of primary and acquired resistance to these agents remain incompletely characterized and have yet to be validated in large cohorts. By analyzing longitudinal tumor biopsies from 17 metastatic melanoma patients treated with CPB therapies, we observed point mutations, deletions or loss of heterozygosity (LOH) in beta-2-microglobulin (B2M), an essential component of MHC class I antigen presentation, in 29.4% of patients with progressing disease. In two independent cohorts of melanoma patients treated with anti-CTLA4 and anti-PD1, respectively, we find that B2M LOH is enriched threefold in non-responders (~30%) compared to responders (~10%) and associated with poorer overall survival. Loss of both copies of B2M is found only in non-responders. B2M loss is likely a common mechanism of resistance to therapies targeting CTLA4 or PD1.
Collapse
Affiliation(s)
- Moshe Sade-Feldman
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, 02114, USA.,Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, 02142, USA
| | - Yunxin J Jiao
- Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, 02142, USA.,Department Systems Biology, Harvard Medical School, Boston, MA, 02115, USA
| | - Jonathan H Chen
- Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, 02142, USA.,Department of Pathology, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Michael S Rooney
- Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, 02142, USA
| | - Michal Barzily-Rokni
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, 02114, USA
| | - Jean-Pierre Eliane
- Department of Pathology, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Stacey L Bjorgaard
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, 02114, USA.,Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, 02142, USA
| | - Marc R Hammond
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, 02114, USA
| | - Hans Vitzthum
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, 02114, USA
| | - Shauna M Blackmon
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, 02114, USA
| | - Dennie T Frederick
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, 02114, USA
| | - Mehlika Hazar-Rethinam
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, 02114, USA
| | - Brandon A Nadres
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, 02114, USA
| | - Emily E Van Seventer
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, 02114, USA
| | - Sachet A Shukla
- Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, 02142, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Keren Yizhak
- Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, 02142, USA
| | - John P Ray
- Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, 02142, USA
| | - Daniel Rosebrock
- Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, 02142, USA
| | - Dimitri Livitz
- Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, 02142, USA
| | - Viktor Adalsteinsson
- Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, 02142, USA
| | - Gad Getz
- Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, 02142, USA.,Department of Pathology, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Lyn M Duncan
- Department of Pathology, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Bo Li
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Ryan B Corcoran
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, 02114, USA
| | - Donald P Lawrence
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, 02114, USA
| | | | - Genevieve M Boland
- Department of Surgery, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Dan A Landau
- Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, 02142, USA.,New York Genome Center, NYC, New York, NY, 10013, USA.,Department of Medicine and Department of Physiology and Biophysics, Weill Cornell Medicine, NYC, New York, NY, 10065, USA
| | - Keith T Flaherty
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, 02114, USA
| | - Ryan J Sullivan
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, 02114, USA.
| | - Nir Hacohen
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, 02114, USA. .,Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, 02142, USA.
| |
Collapse
|
7
|
Zhang XQ, Jiao YJ, Yang ML. [Mast cell in the gingival cancer: histochemical and electron microscopical study]. Shanghai Kou Qiang Yi Xue 2000; 9:222-4. [PMID: 15014764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
OBJECTIVE To observe the relation between mast cells and gingival cancer. METHODS The gingival cancer tissue of 24 cases and normal gingival tissue of 7 cases were studied with histochemical and electron microscopical methods. RESULTS The results showed that the number of mast cells around the periphery of gingival cancer tissue increased significantly. The histochemical properties of these mast cells differed from the normal gingival tissue. The former did not contain heparin which was present normally. Under electron microscope, according to the characteristic ultrastructure, the mast cells around the gingival cancer were TC mast cells. Some of them showed the appearance of degranulation, and contacted intimately with cancer cells, lymphocytes and macrophages. CONCLUSION These results suggested that together with lymphocytes, macrophages, the mast cell contributed to the defense reaction to the cancer tissue.
Collapse
Affiliation(s)
- X Q Zhang
- Department of Stomatology, Shanxi Medical University, Shanxi 030001, China
| | | | | |
Collapse
|