Ansam Sinjab

Dr. Ansam Sinjab

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 May 2023 in Nature Medicine
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Journal Article
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YCYanshuo Chu
Yanshuo Chu
EDEnyu Dai
Enyu Dai
YLYating Li
Yating Li
GHGuangchun Han
Guangchun Han
GPGuangsheng Pei
Guangsheng Pei
LWLinghua Wang
Linghua Wang

16 March 2023 in Nature Medicine
Verified
Journal Article
Open access
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TCTina Cascone
Tina Cascone
CLCheuk H. Leung
Cheuk H. Leung
AWAnnikka Weissferdt
Annikka Weissferdt
APApar Pataer
Apar Pataer
BCBrett W. Carter
Brett W. Carter
BSBoris Sepesi
Boris Sepesi
Neoadjuvant ipilimumab + nivolumab (Ipi+Nivo) and nivolumab + chemotherapy (Nivo+CT) induce greater pathologic response rates than CT alone in patients with operable non-small cell lung cancer (NSCLC). The impact of adding ipilimumab to neoadjuvant Nivo+CT is unknown. Here we report the results and correlates of two arms of the phase 2 platform NEOSTAR trial testing neoadjuvant Nivo+CT and Ipi+Nivo+CT with major pathologic response (MPR) as the primary endpoint. MPR rates were 32.1% (7/22, 80% confidence interval (CI) 18.7–43.1%) in the Nivo+CT arm and 50% (11/22, 80% CI 34.6–61.1%) in the Ipi+Nivo+CT arm; the primary endpoint was met in both arms. In patients without known tumor EGFR/ALK alterations, MPR rates were 41.2% (7/17) and 62.5% (10/16) in the Nivo+CT and Ipi+Nivo+CT groups, respectively. No new safety signals were observed in either arm. Single-cell sequencing and multi-platform immune profiling (exploratory endpoints) underscored immune cell populations and phenotypes, including effector memory CD8+ T, B and myeloid cells and markers of tertiary lymphoid structures, that were preferentially increased in the Ipi+Nivo+CT cohort. Baseline fecal microbiota in patients with MPR were enriched with beneficial taxa, such as Akkermansia, and displayed reduced abundance of pro-inflammatory and pathogenic microbes. Neoadjuvant Ipi+Nivo+CT enhances pathologic responses and warrants further study in operable NSCLC. (ClinicalTrials.gov registration: NCT03158129.)

28 February 2024 in Nature
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Journal Article
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GHGuangchun Han
Guangchun Han
ASAnsam Sinjab
Ansam Sinjab
ZRZahraa Rahal
Zahraa Rahal
ALAnne M. Lynch
Anne M. Lynch
WTWarapen Treekitkarnmongkol
Warapen Treekitkarnmongkol
HKHumam Kadara
Humam Kadara
Understanding the cellular processes that underlie early lung adenocarcinoma (LUAD) development is needed to devise intervention strategies1. Here we studied 246,102 single epithelial cells from 16 early-stage LUADs and 47 matched normal lung samples. Epithelial cells comprised diverse normal and cancer cell states, and diversity among cancer cells was strongly linked to LUAD-specific oncogenic drivers. KRAS mutant cancer cells showed distinct transcriptional features, reduced differentiation and low levels of aneuploidy. Non-malignant areas surrounding human LUAD samples were enriched with alveolar intermediate cells that displayed elevated KRT8 expression (termed KRT8+ alveolar intermediate cells (KACs) here), reduced differentiation, increased plasticity and driver KRAS mutations. Expression profiles of KACs were enriched in lung precancer cells and in LUAD cells and signified poor survival. In mice exposed to tobacco carcinogen, KACs emerged before lung tumours and persisted for months after cessation of carcinogen exposure. Moreover, they acquired Kras mutations and conveyed sensitivity to targeted KRAS inhibition in KAC-enriched organoids derived from alveolar type 2 (AT2) cells. Last, lineage-labelling of AT2 cells or KRT8+ cells following carcinogen exposure showed that KACs are possible intermediates in AT2-to-tumour cell transformation. This study provides new insights into epithelial cell states at the root of LUAD development, and such states could harbour potential targets for prevention or intervention.

13 September 2022 in Cancer Discovery
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Journal Article
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DHDapeng Hao
Dapeng Hao
GHGuangchun Han
Guangchun Han
ASAnsam Sinjab
Ansam Sinjab
LGLorena Isabel Gomez-Bolanos
Lorena Isabel Gomez-Bolanos
RLRossana Lazcano
Rossana Lazcano
LWLinghua Wang
Linghua Wang
Tumor-infiltrating B and plasma cells (TIB) are prevalent in lung adenocarcinoma (LUAD); however, they are poorly characterized. We performed paired single-cell RNA and B-cell receptor (BCR) sequencing of 16 early-stage LUADs and 47 matching multiregion normal tissues. By integrative analysis of ∼50,000 TIBs, we define 12 TIB subsets in the LUAD and adjacent normal ecosystems and demonstrate extensive remodeling of TIBs in LUADs. Memory B cells and plasma cells (PC) were highly enriched in tumor tissues with more differentiated states and increased frequencies of somatic hypermutation. Smokers exhibited markedly elevated PCs and PCs with distinct differentiation trajectories. BCR clonotype diversity increased but clonality decreased in LUADs, smokers, and with increasing pathologic stage. TIBs were mostly localized within CXCL13+ lymphoid aggregates, and immune cell sources of CXCL13 production evolved with LUAD progression and included elevated fractions of CD4 regulatory T cells. This study provides a spatial landscape of TIBs in early-stage LUAD. Significance: While TIBs are highly enriched in LUADs, they are poorly characterized. This study provides a much-needed understanding of the transcriptional, clonotypic states and phenotypes of TIBs, unraveling their potential roles in the immunopathology of early-stage LUADs and constituting a road map for the development of TIB-targeted immunotherapies for the treatment of this morbid malignancy. This article is highlighted in the In This Issue feature, p. 2483

10 May 2021 in Cancer Discovery
Verified
Journal Article
Open access
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ASAnsam Sinjab
Ansam Sinjab
GHGuangchun Han
Guangchun Han
WTWarapen Treekitkarnmongkol
Warapen Treekitkarnmongkol
KHKieko Hara
Kieko Hara
PBPatrick M. Brennan
Patrick M. Brennan
HKHumam Kadara
Humam Kadara
Little is known of the geospatial architecture of individual cell populations in lung adenocarcinoma (LUAD) evolution. Here, we perform single-cell RNA sequencing of 186,916 cells from five early-stage LUADs and 14 multiregion normal lung tissues of defined spatial proximities from the tumors. We show that cellular lineages, states, and transcriptomic features geospatially evolve across normal regions to LUADs. LUADs also exhibit pronounced intratumor cell heterogeneity within single sites and transcriptional lineage-plasticity programs. T regulatory cell phenotypes are increased in normal tissues with proximity to LUAD, in contrast to diminished signatures and fractions of cytotoxic CD8+ T cells, antigen-presenting macrophages, and inflammatory dendritic cells. We further find that the LUAD ligand–receptor interactome harbors increased expression of epithelial CD24, which mediates protumor phenotypes. These data provide a spatial atlas of LUAD evolution, and a resource for identification of targets for its treatment. Significance: The geospatial ecosystem of the peripheral lung and early-stage LUAD is not known. Our multiregion single-cell sequencing analyses unravel cell populations, states, and phenotypes in the spatial and ecologic evolution of LUAD from the lung that comprise high-potential targets for early interception. This article is highlighted in the In This Issue feature, p. 2355

13 November 2020 in Cancer Research
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Journal Article
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ASAnsam Sinjab
Ansam Sinjab
GHGuangchun Han
Guangchun Han
LWLinghua Wang
Linghua Wang
HKHumam Kadara
Humam Kadara
Field carcinogenesis describes the prevalence of tumor-related alterations in normal appearing tissues. Here, we summarize recent efforts in profiling molecular field dynamics for resolving early events in cancer evolution. We also highlight gaps in our knowledge of the molecular and cellular heterogeneity of field carcinogenesis and propose directions to tackle these voids using single-cell–based approaches and unique tissue sampling models. By interrogating both the mutagenized epithelium and its microenvironment, we surmise that single-cell–guided studies will help chart the spatiotemporal molecular and cellular “atlas” of field carcinogenesis, will further delineate preneoplastic initiation and progression, and will help identify cancer prevention and early intervention targets.