Xuezhu Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Xuezhu Wang has a total of 65 co-authors. Here are the top co-authors by number of shared publications:
- Yongchang Zheng
Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
4 shared publications - Jian Li
Department of Hematology, Peking Union Medical College Hospital, Beijing, China
3 shared publications - Qi Yan
School of Life Sciences, Tsinghua University, Beijing, China
3 shared publications Xinting Sang
Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS and PUMC), Beijing 100730, China
3 shared publications- Xinyi Xiong
Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
3 shared publications - Hao Cai
Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
2 shared publications
Latest Publications
- Open Access
- 1 August 2026
- Published by SAGE Publications in Technology in Cancer Research & Treatment
- Vol. 25
Genomics-Guided Risk Stratification in Myeloma Precursor Conditions: Converging Frameworks From Whole-Genome Sequencing
Multiple myeloma (MM) remains incurable despite major therapeutic advances, underscoring the unmet need for earlier and genetically informed intervention. The rationale for such intervention lies in the stepwise evolution of MM from precursor states, including monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM), during which genetic alterations accumulate and drive the emergence, expansion, and evolution of malignant clones. In 2025, three landmark cohort studies using whole-exome or whole-genome sequencing (WES/WGS) proposed distinct but relevant genomic frameworks for reclassifying disease risk in MGUS and SMM. Despite differences in design and analyses, these frameworks converge on several principles: (i) the malignant genomic architecture of myeloma is established well before clinical progression; (ii) a substantial fraction of clinically defined precursor disease already harbors the hallmarks of overt myeloma; and (iii) WES/WGS-derived features meaningfully improve clinical risk models. In this perspective, we critically reviewed these three contemporaneous frameworks and synthesize their convergent implications, not previously consolidated for clinical use, into a practical approach toward genomics-guided management of myeloma precursor conditions.
- 1 August 2026
- Published by SAGE Publications in Technology in Cancer Research & Treatment
- Vol. 25
Open AccessGenomics-Guided Risk Stratification in Myeloma Precursor Conditions: Converging Frameworks From Whole-Genome Sequencing
Multiple myeloma (MM) remains incurable despite major therapeutic advances, underscoring the unmet need for earlier and genetically informed intervention. The rationale for such intervention lies in the stepwise evolution of MM from precursor states, including monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM), during which genetic alterations accumulate and drive the emergence, expansion, and evolution of malignant clones. In 2025, three landmark cohort studies using whole-exome or whole-genome sequencing (WES/WGS) proposed distinct but relevant genomic frameworks for reclassifying disease risk in MGUS and SMM. Despite differences in design and analyses, these frameworks converge on several principles: (i) the malignant genomic architecture of myeloma is established well before clinical progression; (ii) a substantial fraction of clinically defined precursor disease already harbors the hallmarks of overt myeloma; and (iii) WES/WGS-derived features meaningfully improve clinical risk models. In this perspective, we critically reviewed these three contemporaneous frameworks and synthesize their convergent implications, not previously consolidated for clinical use, into a practical approach toward genomics-guided management of myeloma precursor conditions.
- Open Access
Single-Cell Analysis Reveals Inflammatory–Immunosuppressive Niches in Daratumumab-Resistant Primary AL Amyloidosis
Primary light-chain amyloidosis (pAL) is caused by plasma cell (PC) clones that secrete misfolded free light chains that deposit. Anti-CD38 antibody daratumumab is the first-line therapy, while ∼10–30% of patients exhibit suboptimal responses (PTGES2/3–PTGER2/4 axis driven by PTGS2 expressing myeloid-derived suppressor cell–like CD38⁻ CD14⁺ monocytes that expanded with treatment; and (ii) an immunosuppressive non-classical MHC I axis, in which PCs exerted inhibitory interactions ( HLA-E–KLRK1 , HLA-G–LILRB1 , HLA-F–LILRB1 ). Consistent with these cell-cell interactions, myeloid cells and NK cells showed functional impairment, while T cells were more exhausted; all three cell types exhibited increased interferon-γ responses in suboptimal versus good responders. This atlas reveals amyloidogenic PCs’ resistance to daratumumab and an inflammatory–immunosuppressive niche driven by prostaglandin and non-classical MHC I, underpinning suboptimal responses.
Open AccessSingle-Cell Analysis Reveals Inflammatory–Immunosuppressive Niches in Daratumumab-Resistant Primary AL Amyloidosis
Primary light-chain amyloidosis (pAL) is caused by plasma cell (PC) clones that secrete misfolded free light chains that deposit. Anti-CD38 antibody daratumumab is the first-line therapy, while ∼10–30% of patients exhibit suboptimal responses (PTGES2/3–PTGER2/4 axis driven by PTGS2 expressing myeloid-derived suppressor cell–like CD38⁻ CD14⁺ monocytes that expanded with treatment; and (ii) an immunosuppressive non-classical MHC I axis, in which PCs exerted inhibitory interactions ( HLA-E–KLRK1 , HLA-G–LILRB1 , HLA-F–LILRB1 ). Consistent with these cell-cell interactions, myeloid cells and NK cells showed functional impairment, while T cells were more exhausted; all three cell types exhibited increased interferon-γ responses in suboptimal versus good responders. This atlas reveals amyloidogenic PCs’ resistance to daratumumab and an inflammatory–immunosuppressive niche driven by prostaglandin and non-classical MHC I, underpinning suboptimal responses.
- Open Access
- 15 May 2025
- Published by MDPI AG in Preprints.org
Asian Women Who Made History at Yale School of Medicine: Overcoming Barriers, Leading Initiatives, and Raising Their Voices
Yale School of Medicine (YSM) has consistently been at the forefront of promoting equity and inclusiveness within the realms of research and patient care. Using YSM’s official data on Asian female faculty members (2001–2024) and students (2014–2024) as a starting point, this review traces a historical narrative spanning over a century (1924–2024), shedding light on the remarkable achievements and enduring challenges faced by Asian females at YSM. The journey begins with trailblazers such as Dr. Chenghui Ge, the first Chinese woman to earn a DrPH at YSM in 1926, and Dr. Gueh Djen Hsiung, who became Yale’s first Asian female department director in 1960. Their pioneering contributions laid the foundation for future generations of Asian women in medicine. In more recent decades, this article highlights the enduring impact of leaders from YSM and spotlights emerging young physicians and scientists trained in Yale’s residency programs and clinical or research fellowships, who are making progress in the early stages of their careers, showcasing the ongoing evolution of Asian female representation at YSM. Beyond celebrating these milestones, this review amplifies the voices of YSM’s Asian women, addressing persistent challenges such as identity-based discrimination, cultural barriers, the "glass ceiling" in leadership roles, and the balancing act of family responsibilities. By documenting these achievements and struggles, this digital collection aims to share YSM’s progress and lessons learned while advocating for greater awareness of how cultural identity shapes academic and professional advancement.
- 15 May 2025
- Published by MDPI AG in Preprints.org
Open AccessAsian Women Who Made History at Yale School of Medicine: Overcoming Barriers, Leading Initiatives, and Raising Their Voices
Yale School of Medicine (YSM) has consistently been at the forefront of promoting equity and inclusiveness within the realms of research and patient care. Using YSM’s official data on Asian female faculty members (2001–2024) and students (2014–2024) as a starting point, this review traces a historical narrative spanning over a century (1924–2024), shedding light on the remarkable achievements and enduring challenges faced by Asian females at YSM. The journey begins with trailblazers such as Dr. Chenghui Ge, the first Chinese woman to earn a DrPH at YSM in 1926, and Dr. Gueh Djen Hsiung, who became Yale’s first Asian female department director in 1960. Their pioneering contributions laid the foundation for future generations of Asian women in medicine. In more recent decades, this article highlights the enduring impact of leaders from YSM and spotlights emerging young physicians and scientists trained in Yale’s residency programs and clinical or research fellowships, who are making progress in the early stages of their careers, showcasing the ongoing evolution of Asian female representation at YSM. Beyond celebrating these milestones, this review amplifies the voices of YSM’s Asian women, addressing persistent challenges such as identity-based discrimination, cultural barriers, the "glass ceiling" in leadership roles, and the balancing act of family responsibilities. By documenting these achievements and struggles, this digital collection aims to share YSM’s progress and lessons learned while advocating for greater awareness of how cultural identity shapes academic and professional advancement.
- Open Access
- 27 March 2025
- Published by Oxford University Press (OUP) in Genomics, Proteomics & Bioinformatics
- Vol. 23 (2)
Clonal Hematopoietic Mutations in Plasma Cell Disorders: Clinical Subgroups and Shared Pathogenesis
Plasma cell disorders (PCDs) are marked by the clonal proliferation of abnormal plasma cells and bone marrow plasma cells (BMPCs), causing various clinical complications. These PCDs include subtypes with distinct clinical features. Multiple myeloma (MM) and monoclonal gammopathy of undetermined significance (MGUS) are more common and relatively well-studied. In contrast, primary light-chain amyloidosis (AL) and POEMS syndrome (POEMS) are rare and remain less understood. To investigate the role of clonal hematopoietic (CH) mutations and potential interconnections in these diseases, we sequenced CH mutations in lymphoid and myeloid lineages, as well as myeloma driver gene mutations, in BMPCs from affected patients. Recurrent lymphoid CH mutations (in FAT1, KMT2D, MGA, and SYNE1) and myeloma driver gene mutations (in ZFHX3 and DIS3) were found in the dominant clonal and subclonal plasma cell populations. These moderately aging-associated lymphoid CH mutations had a higher burden in MM than in AL or POEMS. Binary matrix factorization of these mutations revealed the subgroups associated with progression-free survival (PFS) (observed in MM, AL, and POEMS), age at diagnosis (in AL and POEMS), serum differential free light chain (dFLC) levels, plasma cell burden (in AL), and serum vascular endothelial growth factor (VEGF) levels (in POEMS). Moreover, the poor PFS associated with MGA or SYNE1 mutations was confirmed across MM, AL, and POEMS. CH mutations partially explained the shared pathogenesis of MM, AL, POEMS, and MGUS, and helped identify patient subgroups with specific clinical features.
- 27 March 2025
- Published by Oxford University Press (OUP) in Genomics, Proteomics & Bioinformatics
- Vol. 23 (2)
Open AccessClonal Hematopoietic Mutations in Plasma Cell Disorders: Clinical Subgroups and Shared Pathogenesis
Plasma cell disorders (PCDs) are marked by the clonal proliferation of abnormal plasma cells and bone marrow plasma cells (BMPCs), causing various clinical complications. These PCDs include subtypes with distinct clinical features. Multiple myeloma (MM) and monoclonal gammopathy of undetermined significance (MGUS) are more common and relatively well-studied. In contrast, primary light-chain amyloidosis (AL) and POEMS syndrome (POEMS) are rare and remain less understood. To investigate the role of clonal hematopoietic (CH) mutations and potential interconnections in these diseases, we sequenced CH mutations in lymphoid and myeloid lineages, as well as myeloma driver gene mutations, in BMPCs from affected patients. Recurrent lymphoid CH mutations (in FAT1, KMT2D, MGA, and SYNE1) and myeloma driver gene mutations (in ZFHX3 and DIS3) were found in the dominant clonal and subclonal plasma cell populations. These moderately aging-associated lymphoid CH mutations had a higher burden in MM than in AL or POEMS. Binary matrix factorization of these mutations revealed the subgroups associated with progression-free survival (PFS) (observed in MM, AL, and POEMS), age at diagnosis (in AL and POEMS), serum differential free light chain (dFLC) levels, plasma cell burden (in AL), and serum vascular endothelial growth factor (VEGF) levels (in POEMS). Moreover, the poor PFS associated with MGA or SYNE1 mutations was confirmed across MM, AL, and POEMS. CH mutations partially explained the shared pathogenesis of MM, AL, POEMS, and MGUS, and helped identify patient subgroups with specific clinical features.
- 15 June 2024
- Published by Springer Nature in Annals of Hematology
- Vol. 103 (8) , 3229-3233
Co-occurrence of Erdheim-Chester disease and clonally evolving acute myeloid leukemia with FLT3-ITD and PTPN11 mutations
Erdheim-Chester disease (ECD) is a rare histiocytosis that tends to co-exist with other myeloid malignancies. Here, we use genetic and transcriptomic sequencing to delineate a case of co-occurring BRAFV600E-mutated ECD and acute myeloid leukemia (AML), followed by AML remission and relapse. The AML relapse involved the extinction of clones with KMT2A-AFDN and FLT3-ITD, and the predominance of PTPN11-mutated subclones with distinct transcriptomic features. This case report has highlighted the screening for other myeloid malignancies at the diagnosis of ECD and the clinical significance of PTPN11-mutated AML subclones that require meticulous monitoring.
- 15 June 2024
- Published by Springer Nature in Annals of Hematology
- Vol. 103 (8) , 3229-3233
Co-occurrence of Erdheim-Chester disease and clonally evolving acute myeloid leukemia with FLT3-ITD and PTPN11 mutations
Erdheim-Chester disease (ECD) is a rare histiocytosis that tends to co-exist with other myeloid malignancies. Here, we use genetic and transcriptomic sequencing to delineate a case of co-occurring BRAFV600E-mutated ECD and acute myeloid leukemia (AML), followed by AML remission and relapse. The AML relapse involved the extinction of clones with KMT2A-AFDN and FLT3-ITD, and the predominance of PTPN11-mutated subclones with distinct transcriptomic features. This case report has highlighted the screening for other myeloid malignancies at the diagnosis of ECD and the clinical significance of PTPN11-mutated AML subclones that require meticulous monitoring.
- Open Access
- 23 December 2022
- Published by Elsevier in Molecular Therapy Nucleic Acids
- Vol. 31, 151-163
Exosomal circ-PTPN22 and circ-ADAMTS6 mark T cell exhaustion and neutrophil extracellular traps in Asian intrahepatic cholangiocarcinoma
- 23 December 2022
- Published by Elsevier in Molecular Therapy Nucleic Acids
- Vol. 31, 151-163
Open AccessExosomal circ-PTPN22 and circ-ADAMTS6 mark T cell exhaustion and neutrophil extracellular traps in Asian intrahepatic cholangiocarcinoma
- 1 July 2021
- Published by Elsevier in Journal of Genetics and Genomics
- Vol. 48 (7) , 520-530
Multiomics metabolic and epigenetics regulatory network in cancer: A systems biology perspective
- 1 July 2021
- Published by Elsevier in Journal of Genetics and Genomics
- Vol. 48 (7) , 520-530
Multiomics metabolic and epigenetics regulatory network in cancer: A systems biology perspective
- Open Access
- 25 May 2021
- Published by Springer Nature in BMC Medical Imaging
- Vol. 21 (1) , 1-13
Dynamic 18F-FDG PET imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function
Background: Dynamic PET with kinetic modeling was reported to be potentially helpful in the assessment of hepatic malignancy. In this study, a kinetic modeling analysis was performed on hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) from dynamic FDG positron emission tomography/computer tomography (PET/CT) scans. Methods: A reversible two-tissue compartment model with dual blood input function, which takes into consideration the blood supply from both hepatic artery and portal vein, was used for accurate kinetic modeling of liver dynamic 18F-FDG PET imaging. The blood input functions were directly measured as the mean values over the VOIs on descending aorta and portal vein respectively. And the contribution of hepatic artery to the blood input function was optimization-derived in the process of model fitting. The kinetic model was evaluated using dynamic PET data acquired on 24 patients with identified hepatobiliary malignancy. 38 HCC or ICC identified lesions and 24 healthy liver regions were analyzed. Results: Results showed significant differences in kinetic parameters $${K}_{1}-{k}_{4}$$ , blood supplying fraction $${f}_{A}$$ , and metabolic rate constant $${K}_{i}$$ between malignant lesions and healthy liver tissue. And significant differences were also observed in $${K}_{1}$$ , $${k}_{3}$$ , $${f}_{A}$$ and $${K}_{i}$$ between HCC and ICC lesions. Further investigations of the effect of SUV measurements on the derived kinetic parameters were conducted. And results showed comparable effectiveness of the kinetic modeling using either SUVmean or SUVmax measurements. Conclusions: Dynamic 18F-FDG PET imaging with optimization-derived hepatic artery blood supply fraction dual-blood input function kinetic modeling can effectively distinguish malignant lesions from healthy liver tissue, as well as HCC and ICC lesions.- 25 May 2021
- Published by Springer Nature in BMC Medical Imaging
- Vol. 21 (1) , 1-13
Open AccessDynamic 18F-FDG PET imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function
Background: Dynamic PET with kinetic modeling was reported to be potentially helpful in the assessment of hepatic malignancy. In this study, a kinetic modeling analysis was performed on hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) from dynamic FDG positron emission tomography/computer tomography (PET/CT) scans. Methods: A reversible two-tissue compartment model with dual blood input function, which takes into consideration the blood supply from both hepatic artery and portal vein, was used for accurate kinetic modeling of liver dynamic 18F-FDG PET imaging. The blood input functions were directly measured as the mean values over the VOIs on descending aorta and portal vein respectively. And the contribution of hepatic artery to the blood input function was optimization-derived in the process of model fitting. The kinetic model was evaluated using dynamic PET data acquired on 24 patients with identified hepatobiliary malignancy. 38 HCC or ICC identified lesions and 24 healthy liver regions were analyzed. Results: Results showed significant differences in kinetic parameters $${K}_{1}-{k}_{4}$$ , blood supplying fraction $${f}_{A}$$ , and metabolic rate constant $${K}_{i}$$ between malignant lesions and healthy liver tissue. And significant differences were also observed in $${K}_{1}$$ , $${k}_{3}$$ , $${f}_{A}$$ and $${K}_{i}$$ between HCC and ICC lesions. Further investigations of the effect of SUV measurements on the derived kinetic parameters were conducted. And results showed comparable effectiveness of the kinetic modeling using either SUVmean or SUVmax measurements. Conclusions: Dynamic 18F-FDG PET imaging with optimization-derived hepatic artery blood supply fraction dual-blood input function kinetic modeling can effectively distinguish malignant lesions from healthy liver tissue, as well as HCC and ICC lesions. - Open Access
- 4 May 2021
- Published by Springer Nature in Research Square
Comparative Analysis of Pan-cancer and Normal Tissues Reveals Cancer Tissue-enriched CircRNAs Associated with Cancer Mutations as Potential Exosomal Biomarkers
Background: A growing body of evidence has shown that circular RNAs (circRNAs) are promising exosomal cancer biomarker candidates. However, global alterations of circRNAs in cancer and the driving force of circRNA biogenesis remain under investigation. Studies on these factors are needed to identify ideal circRNA biomarkers for cancer.Methods: We comparatively analyzed the circRNA landscape in pan-cancer and normal tissues to investigate their biologically significant characteristics and identify circRNAs enriched in pan-cancer. We used co-expression analysis, LASSO regularization, and support vector machine to analyze 265 pan-cancer and 319 normal tissues to identify circRNAs with the highest ability to distinguish cancer tissues from normal tissues which showed high expression in plasma exosomes from patients with cancer (e.g., hepatocellular carcinoma, HCC) and were associated with cancer mutations. Results: Expression of circRNAs was reduced in cancer tissues and plasma exosomes from patients with cancer than in normal tissues and exosomes from healthy controls. The circRNAs with the strongest ability to distinguish between cancer and normal tissues were among the top 10% of stably expressed circRNAs. Compared with normal-tissue-enriched circRNAs, cancer-tissue‒enriched circRNAs exhibited a more prominent association with cancer mutations and higher levels in plasma exosomes from patients with HCC. Particularly, we identified dynein axonemal heavy chain 14 (DNAH14), which serves as the host gene of three cancer tissue-enriched circRNAs, as one of the top back-spliced genes exclusive to cancer tissues. Among these three circRNAs, chr1_224952669_224968874_+ was significantly elevated in plasma exosomes from patients with HCC and was associated with the cancer mutation chr1:224952669: G>A, a splice acceptor variant that is potentially a driving force of circRNA biogenesis.Conclusions: Our bioinformatic analyses provide insights into the characteristics of the circRNA landscape in cancer and the potential of cancer mutation-associated and cancer tissue-enriched RNAs as plasma exosomal cancer biomarkers. Moreover, our results highlight DNAH14 as a host gene that should be further examined in studies of circRNA in cancer.
- 4 May 2021
- Published by Springer Nature in Research Square
Open AccessComparative Analysis of Pan-cancer and Normal Tissues Reveals Cancer Tissue-enriched CircRNAs Associated with Cancer Mutations as Potential Exosomal Biomarkers
Background: A growing body of evidence has shown that circular RNAs (circRNAs) are promising exosomal cancer biomarker candidates. However, global alterations of circRNAs in cancer and the driving force of circRNA biogenesis remain under investigation. Studies on these factors are needed to identify ideal circRNA biomarkers for cancer.Methods: We comparatively analyzed the circRNA landscape in pan-cancer and normal tissues to investigate their biologically significant characteristics and identify circRNAs enriched in pan-cancer. We used co-expression analysis, LASSO regularization, and support vector machine to analyze 265 pan-cancer and 319 normal tissues to identify circRNAs with the highest ability to distinguish cancer tissues from normal tissues which showed high expression in plasma exosomes from patients with cancer (e.g., hepatocellular carcinoma, HCC) and were associated with cancer mutations. Results: Expression of circRNAs was reduced in cancer tissues and plasma exosomes from patients with cancer than in normal tissues and exosomes from healthy controls. The circRNAs with the strongest ability to distinguish between cancer and normal tissues were among the top 10% of stably expressed circRNAs. Compared with normal-tissue-enriched circRNAs, cancer-tissue‒enriched circRNAs exhibited a more prominent association with cancer mutations and higher levels in plasma exosomes from patients with HCC. Particularly, we identified dynein axonemal heavy chain 14 (DNAH14), which serves as the host gene of three cancer tissue-enriched circRNAs, as one of the top back-spliced genes exclusive to cancer tissues. Among these three circRNAs, chr1_224952669_224968874_+ was significantly elevated in plasma exosomes from patients with HCC and was associated with the cancer mutation chr1:224952669: G>A, a splice acceptor variant that is potentially a driving force of circRNA biogenesis.Conclusions: Our bioinformatic analyses provide insights into the characteristics of the circRNA landscape in cancer and the potential of cancer mutation-associated and cancer tissue-enriched RNAs as plasma exosomal cancer biomarkers. Moreover, our results highlight DNAH14 as a host gene that should be further examined in studies of circRNA in cancer.
- 31 August 2020
- Published by Impact Journals, LLC in Aging
- Vol. 12 (16) , 16420-16436
Prognostic value and underlying mechanism of KIAA0101 in hepatocellular carcinoma: database mining and co-expression analysis
Although KIAA0101 is involved in many diseases, its expression and prognostic value in HCC remain undefined. According to CCLE, KIAA0101 is highly expressed in HCC, with a weak positive correlation between copy number and gene expression. Four studies involving 760 samples in ONCOMINE report elevated KIAA0101 expression in HCC (p=3.11E-22). The KM plotter revealed high KIAA0101 expression to be associated with worse overall survival in HCC (HR=2.09, p=4.1e-05); this prognostic power was stronger for male than female, early-stage than advanced-stage, and Asian than Caucasian patients. RNA sequencing data for 8 pairs of HCC and adjacent tissue samples validated the significantly high KIAA0101 level (p=0.00497). Moreover, functional annotations of 31 KIAA0101-coexpressed genes show enrichment of terms associated with mitosis, cytoskeleton construction, and chromosome segregation. Among 9 genes having STRING-validated protein-protein interactions with KIAA0101, two are involved in virus-related pathways. Alternative splicing analysis indicated higher expression of variant 1 and variant 2 in HCC and no significant differences in exon usage of KIAA0101 between cancer and normal tissues. These findings support that KIAA0101 is a potential prognostic biomarker for HCC and highlight the association between virus infection and the mechanism underlying the process by which KIAA0101 contributes to poor prognosis of patients.
- 31 August 2020
- Published by Impact Journals, LLC in Aging
- Vol. 12 (16) , 16420-16436
Prognostic value and underlying mechanism of KIAA0101 in hepatocellular carcinoma: database mining and co-expression analysis
Although KIAA0101 is involved in many diseases, its expression and prognostic value in HCC remain undefined. According to CCLE, KIAA0101 is highly expressed in HCC, with a weak positive correlation between copy number and gene expression. Four studies involving 760 samples in ONCOMINE report elevated KIAA0101 expression in HCC (p=3.11E-22). The KM plotter revealed high KIAA0101 expression to be associated with worse overall survival in HCC (HR=2.09, p=4.1e-05); this prognostic power was stronger for male than female, early-stage than advanced-stage, and Asian than Caucasian patients. RNA sequencing data for 8 pairs of HCC and adjacent tissue samples validated the significantly high KIAA0101 level (p=0.00497). Moreover, functional annotations of 31 KIAA0101-coexpressed genes show enrichment of terms associated with mitosis, cytoskeleton construction, and chromosome segregation. Among 9 genes having STRING-validated protein-protein interactions with KIAA0101, two are involved in virus-related pathways. Alternative splicing analysis indicated higher expression of variant 1 and variant 2 in HCC and no significant differences in exon usage of KIAA0101 between cancer and normal tissues. These findings support that KIAA0101 is a potential prognostic biomarker for HCC and highlight the association between virus infection and the mechanism underlying the process by which KIAA0101 contributes to poor prognosis of patients.