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表1 利用单细胞测序获得的与妇科恶性肿瘤相关的关键发现
Table 1 Key findings relating to gynecological malignancies obtained using single⁃cell sequencing
Tumor Technology Key findings
CC scRNA⁃seq,ST⁃seq Produced a spatial map illustrating the four developmental stages of HPV⁃related
[20]
CC and identified three distinct‘HPV⁃related epithelial clusters’
scRNA⁃seq Revealed dynamic changes in the TME during the progression of CC,the primary
tumor exhibited an immune ⁃ suppressive state,whereas an immune response in
metastatic lymph nodes was activated [34]
scRNA⁃seq Revealed that squamous and columnar epithelia originate from distinct lineage ⁃
specific populations of ectocervical resident stem cells;These stem cell populations
were regulated by opposing Wnt signals from the stroma,and disruption of Wnt sig⁃
[21]
naling led to carcinogenesis
OC scRNA⁃seq,bulk⁃seq Identified seven subtypes within the primary tumor,and among them,the CYR61 +
+
subtype was determined to be associated with recurrence,while the RGS5 CAF
subtype promoted tumor metastasis;CYR61 and RGS5 could serve as predictive
factors for recurrent EOC [23]
scCOOL⁃seq Revealed mechanisms associated with the upregulation of genes involved in IFN
signaling transduction,metallothioneins,and metabolism in OC;established new
[25]
potential therapeutic targets for the treatment of OC
scRNA⁃seq Revealed the cellular landscape of HGSOC and elucidated the mechanisms by
which mCAFs enhance the invasive capabilities of ovarian tumor cells;detected
TIGIT as a potential immunotherapeutic molecular target for HGSOC [35]
scRNA⁃seq Elucidated the distinct functions exercised by different cell types within the HG⁃
SOC ascites ecosystem. The communication and interaction among these different
cells may play a balancing role in disease progression and response to treatment.
Consequently,altering this balance therapeutically could be a therapeutic pathway
to reshaping the drug⁃resistant environment [38]
scRNA⁃seq,TCR⁃seq Depicted the single ⁃ cell landscape of five sites associated with OC,including
omentum metastasis and malignant ascites;revealed the interconnections between
[39]
the malignant ascites ecosystem and tumor sites
EC scRNA⁃seq Identified a characteristic subpopulation associated with the development of EEC,
which is rarely expressed in normal endometrial tissue,but shows an increasing ex⁃
pression pattern in AEH and EEC [31]
scRNA⁃seq Revealed ciliated cell markers DYDC2,CTH,FOXJ1,and p73 as well as the se⁃
cretory cell marker MPST,which can be utilized to improve clinical risk stratifica⁃
[32]
tion for EC patients
scRNA⁃seq Detected the presence of the mature tertiary lymphoid structure marker L1CAM,
which serves as a TLS immunohistochemical marker,improving the accuracy of
predicting recurrence and prognosis in EC patients [36]
scDNA⁃seq,scRNA⁃seq, Identified molecular biomarkers such as PIK3R1 and CTNNB1 which contribute
single⁃cell proteomics to the investigation of drug resistance mechanisms in EC and guide stratified man⁃
[40]
agement and precision treatment research for EC patients
[参考文献] CA Cancer J Clin,2021,71(3):209-249
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