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2. Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference

Author

Meng, Xiangrui, Navoly, Georgina, Giannakopoulou, Olga, Levey, Daniel F., Koller, Dora, Pathak, Gita A., Koen, Nastassja, Lin, Kuang, Adams, Mark J., Rentería, Miguel E., Feng, Yanzhe, Gaziano, J. Michael, Stein, Dan J., Zar, Heather J., Campbell, Megan L., van Heel, David A., Trivedi, Bhavi, Finer, Sarah, McQuillin, Andrew, Bass, Nick, Chundru, V. Kartik, Martin, Hilary C., Huang, Qin Qin, Valkovskaya, Maria, Chu, Chia-Yi, Kanjira, Susan, Kuo, Po-Hsiu, Chen, Hsi-Chung, Tsai, Shih-Jen, Liu, Yu-Li, Kendler, Kenneth S., Peterson, Roseann E., Cai, Na, Fang, Yu, Sen, Srijan, Scott, Laura J., Burmeister, Margit, Loos, Ruth J. F., Preuss, Michael H., Actkins, Ky’Era V., Davis, Lea K., Uddin, Monica, Wani, Agaz H., Wildman, Derek E., Aiello, Allison E., Ursano, Robert J., Kessler, Ronald C., Kanai, Masahiro, Okada, Yukinori, Sakaue, Saori, Rabinowitz, Jill A., Maher, Brion S., Uhl, George, Eaton, William, Cruz-Fuentes, Carlos S., Martinez-Levy, Gabriela A., Campos, Adrian I., Millwood, Iona Y., Chen, Zhengming, Li, Liming, Wassertheil-Smoller, Sylvia, Jiang, Yunxuan, Tian, Chao, Martin, Nicholas G., Mitchell, Brittany L., Byrne, Enda M., Awasthi, Swapnil, Coleman, Jonathan R. I., Ripke, Stephan, Sofer, Tamar, Walters, Robin G., McIntosh, Andrew M., Polimanti, Renato, Dunn, Erin C., Stein, Murray B., Gelernter, Joel, Lewis, Cathryn M., and Kuchenbaecker, Karoline

Published
2024
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15. Transthoracic, thoracoabdominal, and transabdominal surgical approaches for gastric cardia adenocarcinomas: a survival evaluation based on a cohort of 7103 patients

Author

Yao Chen, Xue Ke Zhao, Rui Hua Xu, Xin Song, Miao Miao Yang, Fu You Zhou, Ling Ling Lei, Zong Min Fan, Xue Na Han, She Gan Gao, Xian Zeng Wang, Zhi Cai Liu, Ai Li Li, Wen Jun Gao, Jing Feng Hu, Li Guo Zhang, Jin Chang Wei, Fu Lin Jiao, Kan Zhong, Wei Peng Wang, Liu Yu Li, Jia Jia Ji, Xue Min Li, and Li Dong Wang

Subjects
Surgical approach, Survival, Clinicopathology, Gastric cardia adenocarcinoma (GCA), Surgery, RD1-811, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background This study compared the survival outcomes of different surgical approaches to determine the optimal approach for gastric cardia adenocarcinoma (GCA) and aimed to standardize the surgical treatment guidelines for GCA. Methods A total of 7103 patients with GCA were enrolled from our previously established gastric cardia and esophageal carcinoma databases. In our database, when the epicenter of the tumor was at or within 2 cm distally from the esophagogastric junction, the adenocarcinoma was considered to originate from the cardia and was considered a Siewert type 2 cancer. The main criteria for the enrolled patients included treatment with radical surgery, no radio- or chemotherapy before the operation, and detailed clinicopathological information. Follow-up was mainly performed by telephone or through home interviews. According to the medical records, the surgical approaches included transthoracic, thoracoabdominal, and transabdominal approaches. Kaplan–Meier and Cox proportional hazards regression models were applied to correlate the surgical approach with survival in patients with GCA. Results There were marked differences in age and tumor stage among the patients who underwent the three surgical approaches (P

Published
2022
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17. Increases prognostic value of clinical-pathological nomogram in patients with esophageal squamous cell carcinoma

Author

Jing Feng Hu, Xin Song, Kan Zhong, Xue Ke Zhao, Fu You Zhou, Rui Hua Xu, Ji Lin Li, Xian Zeng Wang, Xue Min Li, Pan Pan Wang, Ling Ling Lei, Meng Xia Wei, Ran Wang, Zong Min Fan, Xue Na Han, Yao Chen, Liu Yu Li, Jia Jia Ji, Yuan Ze Yang, Bei Li, Miao Miao Yang, Hai Jun Yang, Fu Bao Chang, Jing Li Ren, Sheng Li Zhou, and Li Dong Wang

Subjects
esophageal squamous cell carcinoma, tumor-stroma ratio, nomogram, prognosis, overall survival, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

BackgroundThis study was intended to construct a brand new prognostic nomogram after combine clinical and pathological characteristics to increases prognostic value in patients with esophageal squamous cell carcinoma.MethodsA total of 1,634 patients were included. Subsequently, the tumor tissues of all patients were prepared into tissue microarrays. AIPATHWELL software was employed to explore tissue microarrays and calculate the tumor-stroma ratio. X-tile was adopted to find the optimal cut-off value. Univariate and multivariate Cox analyses were used to screen out remarkable characteristics for constructing the nomogram in the total populations. A novel prognostic nomogram with clinical and pathological characteristics was constructed on the basis of the training cohort (n=1,144). What’s more performance was validated in the validation cohort (n=490). Clinical-pathological nomogram were assessed by concordance index, time-dependent receiver operating characteristic, calibration curve and decision curve analysis.ResultsThe patients can divide into two groups with cut-off value of 69.78 for the tumor-stroma ratio. It is noteworthy that the survival difference was noticeable (P

Published
2023
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18. Identifying the Common Genetic Basis of Antidepressant Response

Author

Kasper, Siegfried, Zohar, Joseph, Souery, Daniel, Montgomery, Stuart, Albani, Diego, Forloni, Gianluigi, Ferentinos, Panagiotis, Rujescu, Dan, Mendlewicz, Julien, Wray, Naomi R., Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M., Abdellaoui, Abdel, Adams, Mark J., Agerbo, Esben, Air, Tracy M., Andlauer, Till F.M., Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T.F., Bigdeli, Tim B., Binder, Elisabeth B., Bryois, Julien, Buttenschøn, Henriette N., Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Coleman, Jonathan R.I., Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E., Davies, Gail, Deary, Ian J., Degenhardt, Franziska, Derks, Eske M., Direk, Nese, Dolan, Conor V., Dunn, Erin C., Eley, Thalia C., Escott-Price, Valentina, Hassan Kiadeh, Farnush Farhadi, Finucane, Hilary K., Foo, Jerome C., Forstner, Andreas J., Frank, Josef, Gaspar, Héléna A., Gill, Michael, Goes, Fernando S., Gordon, Scott D., Grove, Jakob, Hall, Lynsey S., Hansen, Christine Søholm, Hansen, Thomas F., Herms, Stefan, Hickie, Ian B., Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M., Howard, David M., Ising, Marcus, Jansen, Rick, Jones, Ian, Jones, Lisa A., Jorgenson, Eric, Knowles, James A., Kohane, Isaac S., Kraft, Julia, Kretzschmar, Warren W., Kutalik, Zoltán, Li, Yihan, Lind, Penelope A., MacIntyre, Donald J., MacKinnon, Dean F., Maier, Robert M., Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, McGuffin, Peter, Medland, Sarah E., Mehta, Divya, Middeldorp, Christel M., Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M., Montgomery, Grant W., Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G., Nyholt, Dale R., O’Reilly, Paul F., Oskarsson, Hogni, Owen, Michael J., Painter, Jodie N., Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Peterson, Roseann E., Peyrot, Wouter J., Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A., Qvist, Per, Rice, John P., Riley, Brien P., Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C., Shen, Ling, Shi, Jianxin, Shyn, Stanley I., Sigurdsson, Engilbert, Sinnamon, Grant C.B., Smit, Johannes H., Smith, Daniel J., Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E., Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A., Thorgeirsson, Thorgeir E., Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, André G., Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M., Viktorin, Alexander, Visscher, Peter M., Wang, Yunpeng, Webb, Bradley T., Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Witt, Stephanie H., Wu, Yang, Xi, Hualin S., Yang, Jian, Zhang, Futao, Arolt, Volker, Baune, Bernhard T., Berger, Klaus, Boomsma, Dorret I., Cichon, Sven, Dannlowski, Udo, de Geus, E.J.C., DePaulo, J. Raymond, Domenici, Enrico, Domschke, Katharina, Esko, Tõnu, Grabe, Hans J., Hamilton, Steven P., Hayward, Caroline, Heath, Andrew C., Kendler, Kenneth S., Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S., Lucae, Susanne, Madden, Pamela A.F., Magnusson, Patrik K., Martin, Nicholas G., McIntosh, Andrew M., Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, Nöthen, Markus M., O’Donovan, Michael C., Paciga, Sara A., Pedersen, Nancy L., Penninx, Brenda W.J.H., Perlis, Roy H., Porteous, David J., Potash, James B., Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G., Smoller, Jordan W., Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M., Werge, Thomas, Lewis, Cathryn M., Levinson, Douglas F., Breen, Gerome, Børglum, Anders D., Sullivan, Patrick F., Pain, Oliver, Hodgson, Karen, Marshe, Victoria S., Campos, Adrian I., Carrillo-Roa, Tania, Cattaneo, Annamaria, Als, Thomas D., Dernovsek, Mojca Z., Fabbri, Chiara, Henigsberg, Neven, Hauser, Joanna, Kennedy, James L., Lenze, Eric J., Müller, Daniel J., Mulsant, Benoit H., Perroud, Nader, Rentería, Miguel E., Reynolds, Charles F., III, Wigmore, Eleanor M., Aitchison, Katherine J., Biernacka, Joanna M., Bondolfi, Guido, Kato, Masaki, Liu, Yu-Li, Serretti, Alessandro, Tsai, Shih-Jen, Turecki, Gustavo, and Weinshilboum, Richard

Published
2022
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19. Chatbots or Humans? Effects of Agent Identity and Information Sensitivity on Users' Privacy Management and Behavioral Intentions: A Comparative Experimental Study between China and the United States.

Author

Liu, Yu-li, Yan, Wenjia, Hu, Bo, Lin, Zhi, and Song, Yunya

Subjects
*COMMUNICATION policy, *COMMUNICATION in management, *HUMAN services, *DATA transmission systems, CHINA-United States relations
Abstract

Chatbots have been widely adopted to support online customer service and supplement human agents. However, online data transmission may involve privacy issues and arouse users' privacy concerns. In order to understand the privacy management mechanism when interacting with chatbots and human agents, we designed a cross-national comparative study and conducted online experiments in China and the United States based on Communication Privacy Management (CPM) theory. The results show that privacy concerns and boundary linkage played different mediation roles between agent identity and the intention to disclose as well as the intention to use the service. Information sensitivity had a significant moderating effect on the mechanism. Our research contributes to a better understanding of personal boundary management in the context of human-machine interaction. [ABSTRACT FROM AUTHOR]

Published
2024
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23. Haplotypes of the D-Amino Acid Oxidase Gene Are Significantly Associated with Schizophrenia and Its Neurocognitive Deficits.

Author

Liu, Yu-Li, Wang, Sheng-Chang, Hwu, Hai-Gwo, Fann, Cathy Shen-Jang, Yang, Ueng-Cheng, Yang, Wei-Chih, Hsu, Pei-Chun, Chang, Chien-Ching, Wen, Chun-Chiang, Tsai-Wu, Jyy-Jih, Hwang, Tzung-Jeng, Hsieh, Ming H, Liu, Chen-Chung, Chien, Yi-Ling, Fang, Chiu-Ping, Faraone, Stephen V, Tsuang, Ming T, Chen, Wei J, and Liu, Chih-Min

Subjects
Humans, Genetic Predisposition to Disease, D-Amino-Acid Oxidase, Schizophrenia, Haplotypes, Polymorphism, Single Nucleotide, Adolescent, Adult, Female, Male, Young Adult, Polymorphism, Single Nucleotide, General Science & Technology
Abstract

D-amino acid oxidase (DAO) has been reported to be associated with schizophrenia. This study aimed to search for genetic variants associated with this gene. The genomic regions of all exons, highly conserved regions of introns, and promoters of this gene were sequenced. Potentially meaningful single-nucleotide polymorphisms (SNPs) obtained from direct sequencing were selected for genotyping in 600 controls and 912 patients with schizophrenia and in a replicated sample consisting of 388 patients with schizophrenia. Genetic associations were examined using single-locus and haplotype association analyses. In single-locus analyses, the frequency of the C allele of a novel SNP rs55944529 located at intron 8 was found to be significantly higher in the original large patient sample (p = 0.016). This allele was associated with a higher level of DAO mRNA expression in the Epstein-Barr virus-transformed lymphocytes. The haplotype distribution of a haplotype block composed of rs11114083-rs2070586-rs2070587-rs55944529 across intron 1 and intron 8 was significantly different between the patients and controls and the haplotype frequencies of AAGC were significantly higher in patients, in both the original (corrected p < 0.0001) and replicated samples (corrected p = 0.0003). The CGTC haplotype was specifically associated with the subgroup with deficits in sustained attention and executive function and the AAGC haplotype was associated with the subgroup without such deficits. The DAO gene was a susceptibility gene for schizophrenia and the genomic region between intron 1 and intron 8 may harbor functional genetic variants, which may influence the mRNA expression of DAO and neurocognitive functions in schizophrenia.

Published
2016

25. Serum Metabolomic Profiling Reveals Biomarkers for Early Detection and Prognosis of Esophageal Squamous Cell Carcinoma

Author

Pan Pan Wang, Xin Song, Xue Ke Zhao, Meng Xia Wei, She Gan Gao, Fu You Zhou, Xue Na Han, Rui Hua Xu, Ran Wang, Zong Min Fan, Jing Li Ren, Xue Min Li, Xian Zeng Wang, Miao Miao Yang, Jing Feng Hu, Kan Zhong, Ling Ling Lei, Liu Yu Li, Yao Chen, Ya Jie Chen, Jia Jia Ji, Yuan Ze Yang, Jia Li, and Li Dong Wang

Subjects
biomarkers, metabolic profiles, early detection, esophageal carcinoma, prognosis, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Esophageal squamous cell carcinoma (ESCC) is one of the most common aggressive malignancies worldwide, particularly in northern China. The absence of specific early symptoms and biomarkers leads to late-stage diagnosis, while early diagnosis and risk stratification are crucial for improving overall prognosis. We performed UPLC-MS/MS on 450 ESCC patients and 588 controls consisting of a discovery group and two validation groups to identify biomarkers for early detection and prognosis. Bioinformatics and clinical statistical methods were used for profiling metabolites and evaluating potential biomarkers. A total of 105 differential metabolites were identified as reliable biomarker candidates for ESCC with the same tendency in three cohorts, mainly including amino acids and fatty acyls. A predictive model of 15 metabolites [all-trans-13,14-dihydroretinol, (±)-myristylcarnitine, (2S,3S)-3-methylphenylalanine, 3-(pyrazol-1-yl)-L-alanine, carnitine C10:1, carnitine C10:1 isomer1, carnitine C14-OH, carnitine C16:2-OH, carnitine C9:1, formononetin, hyodeoxycholic acid, indole-3-carboxylic acid, PysoPE 20:3, PysoPE 20:3(2n isomer1), and resolvin E1] was developed by logistic regression after LASSO and random forest analysis. This model held high predictive accuracies on distinguishing ESCC from controls in the discovery and validation groups (accuracies > 89%). In addition, the levels of four downregulated metabolites [hyodeoxycholic acid, (2S,3S)-3-methylphenylalanine, carnitine C9:1, and indole-3-carboxylic acid] were significantly higher in early cancer than advanced cancer. Furthermore, three independent prognostic markers were identified by multivariate Cox regression analyses with and without clinical indicators: a high level of MG(20:4)isomer and low levels of 9,12-octadecadienoic acid and L-isoleucine correlated with an unfavorable prognosis; the risk score based on these three metabolites was able to stratify patients into low or high risk. Moreover, pathway analysis indicated that retinol metabolism and linoleic acid metabolism were prominent perturbed pathways in ESCC. In conclusion, metabolic profiling revealed that perturbed amino acids and lipid metabolism were crucial metabolic signatures of ESCC. Both panels of diagnostic and prognostic markers showed excellent predictive performances. Targeting retinol and linoleic acid metabolism pathways may be new promising mechanism-based therapeutic approaches. Thus, this study would provide novel insights for the early detection and risk stratification for the clinical management of ESCC and potentially improve the outcomes of ESCC.

Published
2022
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32. Icosidodecahedral Coordination‐Saturated Cuprofullerene

Author

Zhan, Shun‐Ze, primary, Liu, Yu‐Li, additional, Cai, Hong, additional, Li, Ming‐De, additional, Huang, Qibin, additional, Wang, Xu‐Dong, additional, Li, Mian, additional, Dang, Li, additional, Ng, Seik Weng, additional, Lu, Weigang, additional, and Li, Dan, additional

Published
2023
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37. The association of obesity and coronary artery disease genes with response to SSRIs treatment in major depression

Author

Amare, Azmeraw T., Schubert, Klaus Oliver, Tekola-Ayele, Fasil, Hsu, Yi-Hsiang, Sangkuhl, Katrin, Jenkins, Gregory, Whaley, Ryan M., Barman, Poulami, Batzler, Anthony, Altman, Russ B., Arolt, Volker, Brockmöller, Jürgen, Chen, Chia-Hui, Domschke, Katharina, Hall-Flavin, Daniel K., Hong, Chen-Jee, Illi, Ari, Ji, Yuan, Kampman, Olli, Kinoshita, Toshihiko, Leinonen, Esa, Liou, Ying-Jay, Mushiroda, Taisei, Nonen, Shinpei, Skime, Michelle K., Wang, Liewei, Kato, Masaki, Liu, Yu-Li, Praphanphoj, Verayuth, Stingl, Julia C., Bobo, William V., Tsai, Shih-Jen, Kubo, Michiaki, Klein, Teri E., Weinshilboum, Richard M., Biernacka, Joanna M., and Baune, Bernhard T.

Published
2019
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46. Comorbidity of ketamine dependence with major depressive disorder increases the vulnerability to neuroaxonal pathology

Author

Huang, Ming-Chyi, Chen, Chun-Hsin, Liu, Tung-Hsia, Chung, An-Nie, Liu, Yu-Li; https://orcid.org/0000-0001-7519-2965, Quednow, Boris B; https://orcid.org/0000-0001-7933-2865, Bavato, Francesco, Huang, Ming-Chyi, Chen, Chun-Hsin, Liu, Tung-Hsia, Chung, An-Nie, Liu, Yu-Li; https://orcid.org/0000-0001-7519-2965, Quednow, Boris B; https://orcid.org/0000-0001-7933-2865, and Bavato, Francesco

Abstract

We recently demonstrated that patients with ketamine dependence (KD) have increased serum levels of neurofilament light chain (NfL), a novel marker of active neuroaxonal pathology, with NfL levels being significantly higher in those KD patients comorbid with major depressive disorder (MDD). However, considering that NfL elevation has been associated with both ketamine-related brain pathology and MDD, we could not determine whether the observed elevation of NfL levels was driven by an interaction of KD with MDD or by MDD itself. Therefore, we compared serum NfL levels between 35 patients with MDD without ketamine use (MDD group), 23 with KD without MDD (KD without MDD group), 30 KD with MDD (KD with MDD group), and 86 healthy controls (HC group). Using a 2*2 (KD*MDD) generalized linear model controlling for age, sex, body mass index, and smoking status, we found that KD and KD*MDD interactions, but not MDD factor, significantly affected NfL levels. Posthoc tests showed that the KD with MDD group had significantly higher NfL levels than all other groups. The KD without MDD group also showed higher NfL levels than the MDD and, as shown before, HC groups. The levels in MDD group were not different from the HC group. These results suggest that the interaction of KD with MDD, but not MDD alone, results in increased vulnerability to neuroaxonal pathology. Keywords Ketamine Addiction Axons Neurofilaments Major depressive disorder

Published
2023

47. Association of Neurofilament Light Chain With the Antidepressant Effects of Low-Dose Ketamine Infusion Among Patients With Treatment-Resistant Depression.

Author

Lin, Wei-Chen, Su, Tung-Ping, Li, Cheng-Ta, Wu, Hui-Ju, Bai, Ya-Mei, Liu, Yu-Li, Tu, Pei-Chi, and Chen, Mu-Hong

Subjects
HAMILTON Depression Inventory, KETAMINE, ANTIDEPRESSANTS, CYTOPLASMIC filaments, MENTAL depression, GENERALIZED estimating equations
Abstract

Background The role of neurofilament light chain (NFL) in treatment-resistant depression (TRD) is unclear. Whether baseline NFL concentrations are associated with the antidepressant effects of low-dose ketamine infusion has not been determined. Methods The NFL concentrations of 71 patients with TRD and 17 healthy controls were assessed. Patients with TRD were randomly administered a single infusion of 0.5 mg/kg ketamine, 0.2 mg/kg ketamine, or normal saline. Depressive symptoms were assessed before infusion and sequentially at postinfusion timepoints (after 240 minutes and after 2–7 and 14 days) using the Hamilton Depression Rating Scale (HDRS). Results After adjustment for age, sex, and body mass index, patients with TRD were more likely to have higher concentrations of NFL than healthy controls (P  < .001). A generalized estimating equation model with adjustments for infusion group, age, sex, body mass index, and baseline HDRS scores showed that baseline NFL concentrations were positively associated with subsequent HDRS scores following low-dose ketamine infusion (P  = .038). Discussion Higher concentrations of NFL were observed among patients with TRD compared with healthy controls. Baseline NFL concentrations may predict the antidepressant effects of low-dose ketamine infusion. [ABSTRACT FROM AUTHOR]

Published
2023
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49. Splice-Site Variants in the Gene Encoding GABA-A Receptor Delta Subunit Are Associated with Amphetamine Use in Patients under Methadone Maintenance Treatment

Author

Lin, Yen-Feng, primary, Chou, Wen-Hai, additional, Liu, Tung-Hsia, additional, Fang, Chiu-Ping, additional, Kuo, Hsiang-Wei, additional, Kuo, Po-Hsiu, additional, Tsai, Shih-Jen, additional, Wang, Sheng-Chang, additional, Chung, Ren-Hua, additional, Tsou, Hsiao-Hui, additional, Chen, Andrew C. H., additional, and Liu, Yu-Li, additional

Published
2022
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50. Survival influence of gender on 42,345 patients with gastric cardia adenocarcinoma

Author

Rui Hua, Xu, Xue Ke, Zhao, Xin, Song, Ling Ling, Lei, Kan, Zhong, Wen Li, Han, Ran, Wang, Qi, De Bao, Jing Feng, Hu, Meng Xia, Wei, Jia Jia, Ji, Liu Yu, Li, Zong Min, Fan, Xue Na, Han, Bei, Li, Yuan Ze, Yang, Lin, Sun, Jia, Li, Miao Miao, Yang, Xing Song, Li, Duo, You, He Lin, Bai, Jia Xin, Qiao, Ye Zhen, Xie, Fu You, Zhou, Xue Min, Li, Ai Li, Li, and Li Dong, Wang

Subjects
Cancer Research, Oncology, General Medicine
Abstract

Purpose Some studies indicated that gender is associated with prognostic of cancer, However, currently the prognostic value of gender for gastric cardia adenocarcinoma (GCA) survival is unclear. The aim of our study is to reveal the influence of gender on the prognosis of patients with GCA. Patients and methods A total of 42,345 cases Chinese GCA patients were enrolled from our previously established GCA and esophageal cancer databases. The clinicopathological characteristics were retrieved from medical records in hospital. The follow-up was performed through letter, telephone or home interview. Among GCA patients, there were 32,544 (76.9%) male patients with the median age 62 years (range 17–97) and 9,801 (23.1%) female patients with the median age 61 years (range 17–95 years). The Chi-square test and Kaplan–Meier method were used to compare the continuous variables and survival. Cox proportional hazards model was used for competing risk analyses, hazard ratios (HRs) and 95% confidence intervals (CIs) were evaluated. Results Men had shorter GCA-specific survival than women by multivariate analysis (HR 1.114; 95% CI 1.061 to 1.169; P vs. male, P vs. male, P vs. male, P = 0.035). It was worth noting that in patients with stages I, II, III, and IV, female patients survive longer than male patients (P = 0.049; P = 0.011; P P = 0.044, respectively). Conclusion Gender is an independent prognostic factor for patients with GCA. In comparison with men, women have a significantly better outcome. Smoking and drinking may be protective factors for male GCA patients.

Published
2022

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