2023
DOI: 10.3389/fonc.2023.1163695
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Leveraging various extracellular matrix levels to assess prognosis and sensitivity to immunotherapy in patients with ovarian cancer

Abstract: BackgroundOvarian cancer (OC) is the fifth leading cause of cancer-related deaths among women. Late diagnosis and heterogeneous treatment result in a poor prognosis for patients with OC. Therefore, we aimed to develop new biomarkers to predict accurate prognoses and provide references for individualized treatment strategies.MethodsWe constructed a co-expression network applying the “WGCNA” package and identified the extracellular matrix-associated gene modules. We figured out the best model and generated the e… Show more

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“…Furthermore, the primary investigation concentrated on HNSCC, prompting the need for additional validation of its applicability in other cancer types. It is noteworthy that preceding research in cancers such as ovarian cancer (OC) [ 13 ] and infiltrative basal cell carcinoma (iBCC) [ 10 ] failed to identify mutually exclusive expression patterns of CXCL9:SPP1, even instead revealed a codirectional relationship. This implies a likelihood of distinct biomarkers for various cancers and subtypes, underscoring the necessity for further exploration and validation in subsequent studies.…”
Section: To the Editormentioning
confidence: 99%
“…Furthermore, the primary investigation concentrated on HNSCC, prompting the need for additional validation of its applicability in other cancer types. It is noteworthy that preceding research in cancers such as ovarian cancer (OC) [ 13 ] and infiltrative basal cell carcinoma (iBCC) [ 10 ] failed to identify mutually exclusive expression patterns of CXCL9:SPP1, even instead revealed a codirectional relationship. This implies a likelihood of distinct biomarkers for various cancers and subtypes, underscoring the necessity for further exploration and validation in subsequent studies.…”
Section: To the Editormentioning
confidence: 99%