Tumor cell lineage diversity and composition in gastric cancer progression and therapy resistance

胃癌进展和治疗耐药中的肿瘤细胞谱系多样性和组成

• 批准号: 10342536
• 负责人: Pawel K. Mazur
• 金额: $ 64.23万
• 依托单位: UNIVERSITY OF TX MD ANDERSON CAN CTR
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-15 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10342536
• 关键词: Address; Aggressive behavior; Architecture; Behavior; Biology; Cancer Biology; Carcinomatosis; Cell Lineage; Cells; Clinical; Clonal Evolution; Complex; Computer Models; Data; Development; Diagnosis; Disease Progression; Distal; Distant; Ecosystem; Ensure; Evolution; Exhibits; Feedback; Gastric Adenocarcinoma; Genetic; Genetically Engineered Mouse; Genomics; Genotype; Goals; Greater sac of peritoneum; Growth; Health; Heterogeneity; Human; Immune; Immunotherapy; Link; Malignant Neoplasms; Measures; Medicine; Modeling; Molecular; Nature; Neoplasm Metastasis; Oncogenic; Organ; Outcome; Pathogenicity; Pathway interactions; Patient-Focused Outcomes; Patients; Peritoneal; Pharmacology; Phenotype; Population; Population Dynamics; Primary Neoplasm; Process; Property; Recurrence; Research; Resistance; Resolution; Risk; Role; Sampling; Seeds; Signal Pathway; Site; Source; System; Therapeutic; Time; Treatment Failure; Tumor Cell Invasion; anti-PD-1; base; cancer cell; cancer therapy; cell behavior; chemotherapy; cohort; effective therapy; improved; in vivo; malignant stomach neoplasm; molecular phenotype; mouse model; neoplastic cell; non-genetic; novel; patient response; response; single cell analysis; standard of care; therapy resistant; transcriptome; transcriptomics; tumor; tumor growth; tumor heterogeneity; tumor progression; tumor-immune system interactions

Gastric adenocarcinoma (GAC) remains one of the deadliest forms of cancer due to its rapid progression, resistance to therapy, and a high rate of metastatic spread. A common site of metastases is the peritoneal cavity that occurs in 40-50% of patients and leads to development of peritoneal carcinomatosis (PC). PC is almost a universally lethal diagnosis with survival of less than 6 months due to limited therapeutic options that are currently available. Intratumoral heterogeneity (ITH) is a fundamental property of GAC that contributes to therapy resistance, disease progression and metastasis. We and others have characterized the genomic and molecular ITH in GAC and PC, however, tumor cell lineage plasticity−the non-genetic, cell intrinsic origin of ITH remains poorly understood. In our preliminary efforts to dissect the cellular and molecular ITH using single-cell analysis, we discovered that the diversity in tumor cell lineage/state compositions appears to be an upstream key regulator of phenotypic ITH of PC, beyond the genetic factors. We also find that tumors classified based on tumor cell lineage/state compositions (cellular subtypes) are strongly associated with survival, exhibiting differential activation of oncogenic pathways and distinct immune phenotypes. We therefore hypothesize that tumor cell lineages/states dynamically evolve to resist treatment and promote tumor growth and its composition determines phenotypes and outcomes of GACs. The goal of Aim 1 is to characterize tumor cell lineage/state diversity and compositions in clinically defined GAC cohorts, determine their impacts on tumor cell clonal evolution, and identity lineage features associated with GAC progression and metastasis. We will also profile changes in tumor cell lineages and states in paired baseline and progressive tumors following chemotherapy or immunotherapy, determine their impact on immune phenotypes and patient responses to anti-cancer therapies, and identify lineage features associated with therapy resistance. In Aim 2, we will leverage our genetically engineered mouse models (GEMMs) of GAC, follow the expansion and dissemination of cancer cells in GEMMs over a period of time to longitudinally track and characterize dynamic changes in tumor cell lineage identity and transcriptome states at single-cell resolution. We will investigate the clonal architecture of tumor cells in different lineages/states and examine the dynamics of clonal populations that sustain tumor growth at the primary sites, seed and colonize distant organs; we will also profile how tumor cells in different lineages interact with TIME at the primary tumor site and influence invasion and dissemination. In Aim 3, we will investigate tumor cell lineage plasticity in response to chemotherapy and immunotherapy in GEMMs. We will characterize therapy-induced emergence of resistant cell lineages/states and identify the fundamental pathways and drivers of lineage/state transition. This study will link tumor cell lineage/state plasticity to GAC therapy resistance, progression, and metastasis. A better understanding of sources of phenotype heterogeneity and dynamics underlying GAC progression is paramount to identifying effective treatments.

由于进展迅速，胃腺癌（GAC）仍然是最致命的癌症之一，