肺がん生物学 MOC
肺がん固有の driver 変異機序、lung-specific 病態、肺がん細胞の分子・細胞生物学に関する研究を統合する。
ドメイン定義
含む: EGFR / ALK / ROS1 / KRAS-G12C / KRAS-G12D / HER2 / MET / BRAF / RET / NTRK / NRG1 driver の分子機構、acquired resistance 機序 (on-target 変異 / bypass pathway / lineage plasticity の三層)、肺がん特異的 TME (tumor microenvironment、PD-L1 expression、neoantigen 動態、SPP1+ TAM や ZNF683+CD8 T 細胞などの免疫応答決定因子)、ADC (antibody-drug conjugate) 応答を規定する標的内在化・DDR (DNA damage response)・SLFN11 などの分子軸、SCLC (small cell lung cancer) neuroendocrine 分化、肺がん幹細胞・high-plasticity cell state (HPCS)、NSCLC (non-small cell lung cancer) subtypes (adenocarcinoma / squamous / large cell) の分子分類。
含まない: 治療効果の臨床研究 (→ lung-cancer-treatment)、がん種非依存の横断的バイオロジー (→ cancer-biology)、脳転移・骨転移などの転移先固有の機序 (→ 各転移 MOC)。
Basic-Oncogene and genetics の中でも肺がん以外の臓器がん研究 (乳がん BRCA など) は本 MOC から除外し、cancer-biology に分類する。
現状の合意 (State of the Field)
肺腺がんは driver oncogene 別に明確な分子サブクラスへ階層化される疾患であり、EGFR (東アジア腺がん 30–50%)、KRAS (欧米 25–30%、うち G12C 約 13%)、ALK 融合 (3–7%)、ROS1 (1–2%)、MET ex14 skipping、HER2 ex20 insertion、BRAF V600E、RET / NTRK / NRG1 融合がそれぞれ異なる receptor tyrosine kinase / RAS-MAPK (RAS–mitogen-activated protein kinase) 軸の構成的活性化を駆動する。KRAS-G12C 特異的 covalent inhibitor のパラダイム (janes et al. Cell 2018) は、長らく “undruggable” とされた switch-II ポケットを GDP-bound state でトラップし sotorasib / adagrasib の臨床実装に直結した。近年は non-cysteine 変異にも阻害が及び、non-covalent KRAS G12D 阻害薬 MRTX1133 が前臨床マウス LUAD (lung adenocarcinoma、肺腺がん) で抗腫瘍効果を示し (Chan et al. Nature 2026)、臨床では tri-complex 機構で活性型 RAS を直接トラップする次世代 G12D 阻害薬 RMC-9805 が NSCLC 評価可能 18 例で ORR (objective response rate、奏効率) 61% (95% CI 36–83%)・DCR (disease control rate) 89% を報告するなど (Luo et al. Med 2026)、長らく undruggable とされた G12D を含む pan-KRAS / GDP-state trap の臨床展開が加速している。
Acquired resistance のパラダイムは三層構造で整理される:(1) on-target gatekeeper / solvent-front 変異 (EGFR T790M、osimertinib 後 C797S、ALK G1202R、ROS1 G2032R)、(2) bypass pathway 活性化 (MET 増幅、HER2 増幅、KRAS / BRAF 二次変異、RAS-MAPK 再活性化)、(3) lineage plasticity (SCLC transformation、扁平上皮 transition、EMT [epithelial-mesenchymal transition、上皮間葉転換])。一次治療 osimertinib 耐性時の最新 ctDNA (circulating tumor DNA、循環腫瘍 DNA) landscape では C797S 約 6% (FLAURA 血漿 ctDNA、n=557)、MET 増幅 15% 以上、RTK 融合 (ALK / RET / BRAF / FGFR) 3–5%、SCLC 転換 3–10% と整理されるが、約 50% は既知単一遺伝子異常で説明できない。EGFR-TKI 耐性後に新規検出される融合では ALK 42.9%・RET 35.7% が高頻度で、これらは EGFR 非依存の bypass driver として後続治療標的になる (Zhao et al. NatRevClinOncol 2026)。single-cell 解析は residual disease 内に複数の耐性プログラムが non-genetic に共存し TKI 圧で順次選択されることを示し (Maynard et al. Cell 2020、Kashima et al. CancerRes 2021)、その細胞起源として high-plasticity cell state (HPCS) が同定されていた (Marjanovic et al. CancerCell 2020)。2026 年には Slc4a11-MCD レポーターで HPCS が in vivo に可視化され (腫瘍細胞の 17.0 ± 4.3%)、lineage tracing で全腫瘍細胞状態への双方向 transition hub であることが実証された。耐性腫瘍では HPCS 由来 fraction が 17.0% から 45.3% へ増加し (約 3.8 倍)、HPCS 先制除去 (DT ablation / anti-DTR CAR-T [chimeric antigen receptor T cell、キメラ抗原受容体 T 細胞]) が化学療法・KRAS G12D 阻害薬への耐性出現を強力に抑制 (耐性出現までの中央値 7.2→21.6 週、Cox HR 0.32) し、anti-DTR CAR-T は OS (overall survival、全生存期間) を有意に延長した (中央値 95 vs 35 日、HR 0.21)。HPCS は可塑性と耐性 reservoir の双方向ハブとして因果的に位置づけられ、再生上皮・乳がん・大腸がんにも保存された普遍プログラムとして同定された (Chan et al. Nature 2026)。
Co-mutation landscape は driver の臨床表現型を強く修飾する。KRAS-mutant 腺がんは TP53 共変異 (KP)、STK11/LKB1 共変異 (KL)、CDKN2A/B + low-TTF1 (KC) の三亜型に分かれ、KL 群は TMB (tumor mutational burden、腫瘍変異負荷) 高値・PD-L1 陽性でも PD-1 阻害に primary resistance を示す (ORR 7.4% vs KP 35.7%、PFS [progression-free survival、無増悪生存期間] HR [hazard ratio、ハザード比] 1.87) (Skoulidis et al. CancerDiscov 2018)。KEAP1 loss は KRAS 駆動腺がんを NRF2 依存に glutamine 代謝へ rewire し glutaminase 阻害で標的化可能とされ (Romero et al. NatMed 2017)、これら co-mutation 軸は IO (immuno-oncology、免疫療法) / RT (radiotherapy、放射線療法) / 代謝標的の層別化基準として実装が進む。
Lineage plasticity による耐性は分子機構の解像度が大きく上がった。EGFR-TKI 後の SCLC transformation は RB1 機能喪失を必要条件とするが (Niederst et al. NatCommun 2015)、神経内分泌形質転換は変異よりも転写リプログラミング (PRC2 / PI3K-AKT / WNT 活性化、Notch 抑制、3p 欠失 85%) が主体で、EGFR-PDX で samotolisib + osimertinib 併用が腫瘍増殖を追加で 55.8% 抑制し転換を遅延させた (Quintanal-Villalonga et al. CancerDiscov 2021)。組織転換は系統特異的で、Myc は神経内分泌系譜・EGFR は AT2 (alveolar type 2、肺胞 II 型上皮) 系譜の driver として機能し、Akt 活性化と basal-like stem 中間状態が LUAD→SCLC 転換を媒介する (Gardner et al. Science 2024)。KRAS G12C/LKB1 変異腺がんでは adagrasib 圧下で ELF5-DNp63 軸を介した腺→扁平上皮転換 (AST) が KRAS 非依存の耐性状態を生み、AST 可塑性 signature / KRT6A が反応不良の予測因子となる (Tong et al. CancerCell 2024)。
SCLC では ASCL1 / NEUROD1 / POU2F3 / YAP1 (NAPY) の四亜型分類が神経内分泌系譜可塑性の基盤となり、MYC 増幅が NEUROD1-high variant を駆動する。亜型は治療脆弱性を規定し、免疫炎症型 SCLC-I が IO 上乗せ効果と、SCLC-N が CDK / Aurora kinase 阻害感受性と関連する。各亜型は SUV39H1-DNMT3A/B 軸を介したメチル化パターンの差 (SCLC-P 低メチル化・SCLC-N 高メチル化) を持ち、DNA メチル化分類器 (SCLC-DMC / cfDMC) が組織 95.8%・血漿 cfDNA (cell-free DNA、無細胞 DNA) 100% (43/43) の精度で subtype を non-invasive に判定する。化学免疫療法の選択圧下で SCLC-A→SCLC-I への subtype switching を液体生検で縦断追跡でき、subtype 動態モニタリングが現実的になった (Heeke et al. CancerCell 2024)。
ADC (antibody-drug conjugate、抗体薬物複合体) 応答機序・DDR (DNA damage response、DNA 損傷応答)・TME が新しい predictive 軸として前景化している。既治療進行 NSCLC 100 例の ICARUS-LUNG01 第 II 相 (Dato-DXd ORR 26.0%、非扁平上皮で 30.5%) の translational 解析では、SLFN11 高発現・TROP2 cytoplasmic 分布の均一性 (内在化効率) ・治療誘導性免疫活性化 (IFN [interferon、インターフェロン] α) が奏効に関連し、RAD51 を含む DNA 修復経路の早期活性化が抵抗性に寄与した (SLFN11 CRISPR KO で感受性 10–50 倍低下) (Planchard et al. CancerCell 2026)。これは ADC payload (Topo-I) が引き起こす single-strand break → replication fork collapse → SLFN11 依存的 apoptosis という機序を示し、PARP / ATR / WEE1 阻害剤との rational combination の根拠となる。EGFR-TKI 耐性後の治療は MET 標的 (savolitinib + osimertinib、SACHI 試験の 3 世代既治療サブグループで PFS 6.9 vs 3.0 か月、HR 0.32) や TROP2 / HER3 ADC・bispecific へと多軸化し、upfront 併用 (FLAURA2 で PFS HR 0.62・OS HR 0.77、MARIPOSA で PFS HR 0.70) が耐性出現の遅延戦略として確立しつつある (Zhao et al. NatRevClinOncol 2026)。TME 側では ZNF683+CD8+ T 細胞が IO 奏効の予測因子であり、これを起点に構築された 19 遺伝子 ZNFRS (ZNF683-related signature) が TMB と独立な予後・免疫抑制指標として 10 コホートで検証され、高スコア群を規定する SPP1 経路 (SPP1+ TAM 由来) が “cold TME” の治療標的として同定された (anti-SPP1 + anti-PD-1 併用で相乗) (Zhang et al. npjPrecisOncol 2026)。
主要エンティティ
遺伝子 (20 — Phase B Top 20 拡張)
NSCLC drivers (12):
- EGFR — Activating mutation, T790M / C797S 耐性, MET amp bypass
- ALK — EML4-ALK fusion variants, 世代別 TKI 耐性 (G1202R, compound mutation)
- KRAS — G12C cryptic pocket, co-mutation landscape (KP/KL/KC)
- ROS1 — fusion driver, ALK kinase 77% 同一, G2032R 耐性
- HER2 — exon 20 ins, amplification, T-DXd ADC 標的
- MET — exon 14 skipping, EGFR-TKI bypass amp
- BRAF — V600E (class I), non-V600 (class II/III) の treatment 戦略
- RET — fusion driver, selective RET-TKI で transformation
- NTRK — NTRK1/2/3 fusion (rare in NSCLC, tissue-agnostic paradigm)
- FGFR1 — squamous NSCLC 約20% amplification, druggability 議論的
- NRG1 — NRG1 fusion (約0.2%), HER3/HER4 ligand, HER3-DXd 標的
- ERBB3 — HER3, kinase-dead dimerization partner, HER3-DXd target
Tumor suppressor / co-mutation 修飾子 (7):
- TP53 — 65–80% mutation, driver-modifying (KP subtype 主体)
- RB1 — SCLC 90%+ LOF, NSCLC SCLC transformation の必要条件
- STK11 — KRAS+STK11 (KL) で IO 一次抵抗性、AMPK pathway
- KEAP1 — NRF2-glutamine 軸、IO/RT/化療抵抗性
- CDKN2A — p16/p14ARF locus, squamous NSCLC 60%+ LOF, KC subtype
- MDM2 — p53 negative regulator, TP53-WT cancers の治療標的
- SPP1 — immunosuppressive TAM/neutrophil marker, TME modulator
SCLC subtype master regulator (4):
- ASCL1 — SCLC-A subtype (約70%), DLL3 induction → Tarlatamab target
- NEUROD1 — SCLC-N subtype (約10–20%), MYC 連動, Aurora kinase 感受性
- POU2F3 — SCLC-P subtype (約10%), tuft cell origin, 化療抵抗性
- MYC — SCLC variant subtype driver, c-MYC/MYCN/MYCL 拡張
Biomarker (1):
- PD-L1 — IO predictive biomarker, IFN-γ inducible, 9p24.1 amp
薬剤クラス (治療応答性研究の基盤、6)
- EGFR-TKI — Acquired resistance 機序研究の基盤
- ALK-TKI — Compound mutation / fusion variant 別感受性
- ROS1-TKI — Solvent-front G2032R 機序
- RET-inhibitor — Selective vs multi-kinase RET TKI 比較
- KRAS-G12C-inhibitor — covalent trap dynamic mechanism
- NTRK-inhibitor — tissue-agnostic paradigm
試験
(基礎研究中心のため少数想定。translational rationale を裏付けた試験のみ追加)
主要概念
- EGFR-T790M-resistance — 1st/2nd-gen EGFR-TKI 耐性 paradigm
- EGFR-C797S-resistance — 3rd-gen Osimertinib 後耐性、cis/trans allele paradigm
- ALK-G1202R-compound-mutations — solvent-front mutation, Lorlatinib compound mutation
- KRAS-co-mutation-landscape — KP/KL/KC 三亜型、STK11/KEAP1 IO 抵抗性
- Lineage-plasticity — RB1+TP53 dual loss → SCLC transformation、HPCS hub
- EMT — driver mutation context での mesenchymal shift、TKI 抵抗性
- Cancer-dormancy — drug-tolerant persister cells、residual disease の生物学
- SCLC-molecular-subtypes — ASCL1 / NEUROD1 / POU2F3 / YAP1 (NAPY) 四亜型、precision SCLC の基盤
(Phase D 拡張候補: MET amp bypass / EGFR exon 20 insertion / KRAS G12C resistance / NRG1 fusion biology)
Open Questions
- HPCS / 可塑性ハブの先制標的化: Slc4a11+ HPCS の維持機構 (NKX2.1-HMGA2 switch、Wnt / Notch / YAP) の解明と、ヒト HPCS surface marker の同定、anti-DTR / anti-Slc4a11 CAR-T のヒト固形腫瘍への翻訳、KRAS 阻害薬・化学療法との併用による耐性 reservoir の先制除去
- KRAS G12D / G12V / pan-KRAS の臨床実装: tri-complex RMC-9805 等の効果持続と耐性機序 (AST など lineage 系も含む)、GDP-state / 活性型 RAS trap を non-cysteine 変異全般へ拡張する戦略、LKB1 共変異下での反応不良の克服
- EGFR osimertinib 後の未知耐性 (約 50%): 既知単一遺伝子異常で説明できない耐性の分子基盤、ctDNA-MRD (minimal residual disease、微小残存病変) ガイドの adaptive 治療介入と upfront 併用 (FLAURA2 / MARIPOSA) による出現遅延 — ただし併用が生む新たな未知耐性表現型の解明
- ADC 感受性・抵抗性バイオマーカーの統合: SLFN11 / TROP2 内在化 (cytoplasmic 均一性) / DDR (RAD51) を組み合わせた複合 predictive marker の前向き検証、ADC + PARP/ATR/WEE1 または IO の rational combination、扁平上皮で低い奏効の機序
- NE (neuroendocrine、神経内分泌) / 扁平上皮転換の予測と先制介入: RB1/TP53 dual loss・AST 可塑性 signature (KRT6A)・cfDNA methylation subtype 動態による転換の早期検出と、PI3K-AKT / ELF5-DNp63 軸の先制遮断 (BET 阻害薬等との併用)
- cold TME (SPP1 / KL) の免疫感作: STK11/KEAP1 共変異・SPP1+ TAM が駆動する非炎症性 TME を IO 応答性へ転換する併用戦略 (anti-SPP1、glutaminase 阻害、metabolic vulnerability) と、ZNF683 / ZNFRS を前向き層別化に実装する検証
重要論文 Top 10
- ★★★★★ janes et al. Cell 2018 — KRAS-G12C covalent 阻害の概念実証、Sotorasib/Adagrasib の起点
- ★★★★★ Skoulidis et al. CancerDiscov 2018 — KRAS 三亜型分類 (KP/KL/KC) と STK11 共変異 IO 抵抗性
- ★★★★★ Romero et al. NatMed 2017 — KEAP1/NRF2 loss → glutamine 依存性、glutaminase 標的化
- ★★★★ Maynard et al. Cell 2020 — TKI 治療下 residual disease の non-genetic 耐性 scRNA-seq
- ★★★★ Marjanovic et al. CancerCell 2020 — HPCS state — lineage transformation hub の同定
- ★★★★★ Mok et al. NEnglJMed 2009 — IPASS: EGFR mutation を predictive biomarker として確立
- ★★★★ Kashima et al. CancerRes 2021 — scRNA-seq EGFR-TKI 耐性 heterogeneity
- ★★★★ Marine et al. NatRevCancer 2020 — Non-genetic resistance paradigm 統合 review
- ★★★★ Quintanal-Villalonga et al. CancerDiscov 2021 — Neuroendocrine transformation pathway の multiomics 解析
- ★★★★ Niederst et al. NatCommun 2015 — RB1 LOF → EGFR-TKI 後 SCLC transformation の機序確立
最新追加論文 Top 10
- Jong et al. JImmunotherCancer 2026 — Basic-Others
- Wang et al. Carcinogenesis 2026 — Basic-Others
- Xu et al. CancerCell 2026 — Basic-Others
- Goto et al. Nature 2024 — Basic-Others
- Li et al. CancerImmunolRes 2026 — Basic-Others
- Shukla et al. NatBiotechnol 2015 — Basic-Others
- Weickhardt et al. JThoracOncol 2012 — Basic-Others
- Nik-Zainal et al. Cell 2012 — Basic-Others
- Repetto et al. ClinCancerRes 2026 — Basic-Others
- Gu et al. CancerRes 2026 — Basic-Oncogene and genetics
全論文リスト (カテゴリ別、自動生成)
Basic-Oncogene and genetics
- Bandlamudi et al. CancerCell 2026 — Cancer type-specific variation in patterns of driver alterations across 50,000 tumors
- Liao et al. CancerCell 2026 — Targeting TROP2 in drug-tolerant persister cells delays EGFR tyrosine kinase inhibitor resistance in non-small-cell
- Sill et al. CancerCell 2026 — Advancing CNS tumor diagnostics with expanded DNA methylation-based classification
- Scaparone et al. CancerDiscov 2026 — EML4-ALK mediates resistance to KRAS G12C inhibition and induces an
- Wei et al. CancerDiscov 2026 — Abrogation of oncogenic RAS signaling
- Sarkar et al. CancerGeneTher 2026 — TP53 mutation at codon 179 metabolically reprograms cancer cells to promote invasion
- Gu et al. CancerRes 2026 — EGFR N-glycosylation catalyzed by NDST2 promotes lenvatinib resistance in hepatocellular carcinoma
- Maurais et al. Cell 2026 — Genome instability triggers intercellular DNA transfer between human cells
- Wong et al. Cell 2026 — A recipe for chaos extrachromosomal DNA and the hallmarks of cancer
- Yap et al. Cell 2026 — Targeting genomic instability in cancer
- Yang et al. CellRep 2026 — Pan-cancer evolution signatures link clonal expansion to dynamic changes in the tumor immune microenvironment
- Liu et al. FrontImmunol 2026 — Pan-cancer analysis of OSR2 with a focus on underlying mechanisms and therapeutic implications in lung adenocarcinoma
- Pineda et al. ModPathol 2026 — A comprehensive mutational and histopathological analysis of STK11-mutant non-small cell lung carcinomas
- Klink et al. NatCommun 2026 — Targeted degradation of USP7 in solid cancer cells reveals distinct effects of deubiquitinase degraders and inhibitors
- Li et al. NatCommun 2026 — Molecular glue that stabilizes the LRPPRC-MET-G4 interaction complex to drive MET downregulation
- Cheek et al. NatGenet 2026 — Age distinguishes selection from causation in cancer genomes
- Chan et al. Nature 2026 — Critical role for a high-plasticity cell state in lung cancer
- Franca et al. Nature 2026 — A mechanism for adaptive genome regulation in cancer
- Hessey et al. Nature 2026 — Evolutionary characterization of lung cancer metastasis
- Lopez-Bigas et al. Nature 2026 — Tumour promotion through the lens of evolution
- Pich et al. Nature 2026 — Somatic evolution following cancer treatment in normal tissue
- Sankar et al. Nature 2026 — Genetic elements promote retention of extrachromosomal DNA in cancer cells
- Zhang et al. Science 2026 — Stem cell control in the lung by an autocrine injury-activated igf complex
- Wang et al. SignalTransductTargetTher 2026 — Disrupting SOX2 self-association and condensate formation to overcome chemotherapeutic drug resistance in lung squamous
- Attardi et al. TrendsCancer 2026 — P53 defender of lineage fidelity and foe of plasticity in cancer and regeneration
- Tan et al. TrendsCancer 2026 — Targeting cyclin-dependent kinases in cancer emerging therapeutics and clinical strategies
- Sui et al. CellDeathDiscov 2025 — Lactylation in cancer metabolic mechanism and therapeutic strategies
- Pich et al. NEnglJMed 2025 — Tumor-infiltrating clonal hematopoiesis
- You et al. Cell 2024 — Disruption of cellular plasticity by repeat RNAs in human pancreatic cancer
- AlKhafaji et al. NatBiotechnol 2024 — High-throughput RNA isoform sequencing using programmed cDNA concatenation
- Gardner et al. Science 2024 — Lineage-specific intolerance to oncogenic drivers restricts histological transformation
- Lengel et al. CancerCell 2023 — Genomic mapping of metastatic organotropism in lung adenocarcinoma
- Ning et al. CancerChemotherPharmacol 2023 — The role of alternative splicing in lung cancer
- Stein et al. CancerDiscov 2023 — LKB1-dependent regulation of TPI1 creates a divergent metabolic liability between human and mouse lung adenocarcinoma
- Chaudhary et al. CancerResCommun 2023 — Activation of KrasG12D in subset of alveolar type II cells enhances cellular plasticity in lung adenocarcinoma
- Xu et al. CellDeathDis 2023 — SRSF3AMOTL1 splicing axis promotes the tumorigenesis of nasopharyngeal carcinoma through regulating the nucleus
- Keun et al. MolCell 2023 — RBM39 A druggable metabolic sensor linking RNA splicing, transcriptional regulation, and metabolic reprogramming in
- Ma et al. MolCell 2023 — SRSF2 plays an unexpected role as reader of m5c on mRNA, linking epitranscriptomics to cancer
- Li et al. Nature 2023 — Non-cell-autonomous cancer progression from chromosomal instability
- Girish et al. Science 2023 — Oncogene-like addiction to aneuploidy in human cancers
- Concepcion et al. CancerDiscov 2022 — Smarca4 inactivation promotes lineage-specific transformation and early metastatic features in the lung
- Johnson et al. CancerDiscov 2022 — Classification of KRAS-activating mutations and the implications for therapeutic intervention
- Myer et al. CancerDiscov 2022 — The genomics of colorectal cancer in populations with African and European ancestry
- Yi et al. CancerDiscov 2022 — Live-cell imaging shows uneven segregation of extrachromosomal DNA elements and transcriptionally active
- Hareendran et al. CancerLett 2022 — Carboxypeptidase E and its splice variants Key regulators of growth and metastasis in multiple cancer types
- Cui et al. Cancers 2022 — Dynamic expression of epcam in primary and metastatic lung cancer is controlled by both genetic and epigenetic
- Nguyen et al. Cell 2022 — Genomic characterization of metastatic patterns from prospective clinical sequencing of 25,000 patients
- he et al. Cell 2022 — A human fetal lung cell atlas uncovers proximal-distal gradients of differentiation and key regulators of epithelial
- Reggiardo et al. CellRep 2022 — Mutant KRAS regulates transposable element RNA and innate immunity via KRAB zinc-finger genes
- Wong-Rolle et al. JImmunotherCancer 2022 — Spatial meta-transcriptomics reveal associations of intratumor bacteria burden with lung cancer cells showing a
- Peng et al. MolTher 2022 — Impacts and mechanisms of alternative mRNA splicing in cancer metabolism, immune response, and therapeutics
- vanLeen et al. NatGenet 2022 — The genomic and spatial mobility of extrachromosomal DNA and its implications for cancer therapy
- Doman et al. NatProtoc 2022 — Designing and executing prime editing experiments in mammalian cells
- Yi et al. NatRevGenet 2022 — Extrachromosomal DNA amplifications in cancer
- Fennell et al. Nature 2022 — Non-genetic determinants of malignant clonal fitness at single-cell resolution
- Funnell et al. Nature 2022 — Single-cell genomic variation induced by mutational processes in cancer
- Yang et al. ProteinCell 2022 — Emerging roles of spliceosome in cancer and immunity
- Liu et al. SciTranslMed 2022 — A germline SNP in BRMS1 predisposes patients with lung adenocarcinoma to metastasis and can be ameliorated by targeting
- Altemose et al. Science 2022 — Complete genomic and epigenetic maps of human centromeres
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