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Table 1  Characteristic of included studies

From: Investigation on factors associated with ovarian cancer: an umbrella review of systematic review and meta-analyses

No. Author Year No. of Articles No. of Patient (total) No. of Cases No. of Control Evaluated Factors
1 Yan Qiao 2018 21 309 - - Aspirin
2 Hongmei Chen 2017 14 11,690 4448 7242 VDR rs2228570
3 Li-Hui Yan 2018 46 84,772 36,298 48,474 BRCA2 N372H
4 Jie Ruan 2018 24 1217 - - P16INK4a
5 liang Tang 2018 13 13,064 5461 7603 HER2 and ESR2 polymorphisms
6 Ross Penninkilampi 2018 27 - 14,311 - Talc Use
7 Chao-Huan Xu 2017 7 3016 1,345 1,671 Genetic polymorphisms
8 Xu-Ming Zhu 2017 10 4621 1930 2464 Genetic polymorphisms
9 JieNa Li 2017 9 4024 1333 2691 ERCC2 rs13181
10 Jing Li 2017 7 - 1898 - C-reactive protein
11 Dongyu Zhang 2017 14 2,342,245 4184 ‬‬ Diabetes mellitus
12 Xingxing Song 2017 15 493,415 7453 485,962 Calcium Intake
13 Wera Berge 2016 27 34,176 15,154 19,022 Talc Use
14 Xin Zhan 2017 18 701,857 8,683 693,174 Tea consumption
15 A Darelius 2017 11 - - - Hysterectomy
16 Zhiyi Zhou 2017 13 2,951,539 13,616 2,937,923 Pelvic inflammatory disease
17 Yang Deng 2017 8 14,014 6613 7401 Androgen receptor gene
18 Bamia Christina 2016 32 - 11,411 - Coffee Intake
19 Lihua Wang 2017 13 3,708,313 5534 3,702,779 Diabetes mellitus
20 lilin he 2017 8 45,624 19,260 26,364 MTHFR C677T
21 Chunpeng Wang 2016 38 409,061 40,609 368,452 Endometriosis, Tubal Ligation, Hysterectomy
22 Chunyan Shen 2016 12 1235 806 429 Adenomatous polyposis coli (APC) gene
23 Xiyue Xiao 2016 12 901 612 289 P16INK4a
24 Fangfang Zeng 2016 7 33,456 2011 31,445 Inflammatory markers
25 Dongyu Zhang 2016 23 499,950 15,163 484,787 Aspirin
26 Wenlong Qiu 2016 25 900,000 6612 893,388 Dietary fat intake
27 Qiang Wang 2016 9 740 485 255 CDH1 promoter
28 Xiaoli Hua 2016 12 2,361,494 6,275 2,355,219 Dietary Flavonoids
29 Li-feng Shi 2015 12 2,353,945 8896 2,345,049 Hormone therapy
30 Christos Iavazzo 2016 4 725 385 340 Hypodontia
31 Sang-Hee Yoon 2016 3 5,659,211 3509 5,655,702 salpingectomy
32 Wei Liu 2016 35 42,650 19,527 23,123 A1298C POLYMORPHISM
33 Vida Mohammadi 2019 7 381,810 3653 378,157 flavonoids
34 Lifeng Li 2016 9 - - - Metformin
35 Arefe Parvaresh 2019 13 - - - Quercetin
36 Xiaowei Yu 2016 14 11,471 3796 7675 ERCC2 rs13181 - XRCC2 rs3218536
37 Rui Hou 2015 20 1,117,992 12,046 1,105,946 Dietary fat
38 Zhen Liu 2015 26 34,817 12,963 21 854 overweight, obesity
39 N. Keum 2015 18 - 2636 - Egg intake
40 Liangxiang Su 2015 4 12,016 2344 9672 BRCA2 N372H
41 Sai-tian Zeng 2014 12 629,453 3728 625,725 Egg intake
42 Xiaolian Zhang 2015 5 4233 1791 2,196 Vascular Endothelial Polymorphisms
43 Li-Ping Feng 2014 19 469,095 9438 459,657 Breastfeeding
44 collaborative Group 2015 52 12,110 - - Menopausal hormone use
45 Huang Yan-Hong 2015 13 1,996,841 5857 1,990,984 alcohol consumption
46 Jiyi Hu 2015 8 305,338 3555 301,783 cruciferous vegetables
47 Jing Liao 2014 21 3117 2842 4305 progesterone receptor Polymorphisms
48 Xingzhong Hu 2015 5 5884 2336 3548 RAD51 Gene 135G/C
49 Jing Liu 2014 19 - - - Milk, Yogurt, and Lactose Intake
50 Jun Qin 2014 62 92,857 42,315 50,542 STK15 polymorphisms
51 Luliang Liu 2015 15 14,798 7,450 7,348 MMP-12-82 A/G polymorphism
52 X.Y. Shi 2015 3 7026 - - MTHFR A1298C polymorphism
53 M. Zhai 2015 4 10,169 3565 6604 Arg188His polymorphism
54 Yue-Dong Wang 2014 15 1653 822 831 serum levels of osteopontin
55 John A. Barry 2014 3 72,973 919 72,054 polycystic ovary syndrome
56 Xinli Li 2014 10 72,054 6127 65,927 dietary lycopene intake
57 Xue Qin 2014 4 1133 474 659 Asn680Ser polymorphism
58 Shujing Shi 2014 13 16,230 5,927 10,303 RAD51 135 G>C and XRCC2 G>A (rs3218536)
59 M. A. Alqumber 2014 12 2257 993 1264 72 Arg.Pro Polymorphism
60 Pei-yue Jiang 2014 15 889,033 6,087 882,946 Fish Intake
61 Danhua Pu 2014 7 7356 3493 3863 MTHFR Polymorphism
62 Xinwei Pan 2013 8 7724 3,723 4,001 Ala222Val
63 Yulan Yan 2013 4 9108 3,635 5,473 XRCC3 Thr241Met polymorphism
64 Tracy E. Crane 2013 24 519,431 2091 517,340 Dietary Intake
65 Su Li 2014 14 10,964 - - VDR rs2228570
66 Dan Cheng 2014 22 15,343 6836 8507 RAD51 Gene 135G/C polymorphism
67 Bo Han 2014 11 379,868 4,306 375,562 Cruciferous vegetables
68 Xin-Lan Qu 2014 10 297,892 4392 293,500 Phytoestrogen Intake
69 Jin-Ze Du 2014 8 3940 1,293 2,647 COMT rs4680 Polymorphism
70 Li-Yuan Han 2014 10 6001 2578 3423 GST Genetic Polymorphisms
71 Da-Peng Li 2014 40 415,949 17,139 398,810 Breastfeeding
72 Yong-Jun Ma 2014 6 3839 1,766 2,073 Rs11615 (C>T)
73 Jalal Poorolajal 2014 19 - - - BMI
74 Li-Min Zhou 2014 6 435,398 2983 432,415 Recreational Physical Activity
75 Piyemeth Dilokthornsakul 2013 4 - - - Metformin
76 Chenglin Li 2013 18 227,859 5677 222,182 Folate intake and MTHFR polymorphism C677T
77 Susan J. Jordan 2013 22 - - - hysterectomy
78 Nan-Nan Luan 2013 35 720,617 14,465 706,152 Breastfeeding
79 Xue Qin 2013 7 4,809 1977 2832 VDR
80 Laura J. Havrilesky 2013 55 31,056 10,031 21,025 Oral Contraceptive
81 Ting-Ting Gong 2012 27 1,020,516 9859 1,010,657 Age at menarche
82 Yanling Liu 2013 6 10,768 4,107 6,661 VDR
83 Louise Baandrup 2012 21 563,976 11,759 552,217 NSAIDs
84 Jung-Yun Lee 2012 19 - - - Diabetes Mellitus
85 Chengbin Ma 2013 10 18, 628 5, 932 12,696 MTHFR C677T polymorphism
86 Ying-Yu Ma 2013 6 3745 1534 2211 MDM2 309T.G Polymorphism
87 Gwan Gyu Song 2013 12 8775 3716 5059 VDR
88 Ketan Gajjar 2012 5 3795 1199 2596 Cytochrome P1B1 (CYP1B1)
89 Xiaojian Ni 2012 17 193,424 10 373 183,051 NSAIDs
90 Lu Liu 2012 4 7127 3,496 3,631 C677T and A1298C polymorphism
91 T.N. Sergentanis 2012 11 5025 1,680 3345 MspI and Ile462-Val and Thr461Asn
92 Collaborative Group 2012 51 123,056 28 114 94,942 Smoking
93 Megan S Rice 2012 30 18,929 - - Tubal ligation and Hysterectomy
94 Matteo Rota 2012 27 15,762,134 16,554 15,745,580 Alcohol drinking
95 Collaborative Group 2012 47 106,468 25,157 81,313 Body Size
96 Su-Qin Shen 2012 18 7368 2,193 5,175 TP53 Arg72Pro
97 Xiao-Ping Ding 2012 8 7457 3,379 4,078 MTHFR C677T Polymorphism
98 M.G.M. Braem 2011 150 - - - Genetic variants
99 M. Constanza Camargo 2011 18 21,973 117 22,090 Asbestos
100 David Cibula 2011 3 - - - Oral contraceptives
101 Sarah J. Oppeneer 2011 16 - 7234 - Tea Consumption
102 Lu Yin 2011 10 157,292 - - Circulating vitamin D
103 A Wallin 2011 8 754 836 2349 752,487 Red and processed meat consumption
104 D. Cibula 2011 13 - - - Tubal ligation
105 Ru-Yan Liao 2010 4 15,104 5532 9572 TGFBR1*6A/9A polymorphism
106 Linda S. Cook 2010 20 - - - vitamin D
107 K. P. Economopoulos (2010) 2010 2 4240 2049 2191 Meat, fish
108 Hee Seung Kim 2010 10 135,871 65,578 70,293 Wine
109 S-K Myung 2009 7 169 051 3516 165 535 Soy intake
110 BG Chittenden 2009 1 4547 476 4071 Polycystic ovary syndrome
111 Bo Zhou 2008 27 1,584,610 12,955 1,571,655 Hormone replacement therapy
112 HG Mulholland 2008 2 - - - Dietary glycemic index
113 Catherine M. Olsen 2007 12 2778 1269 1509 Recreational Physical Activity
114 J Steevens 2007 21 - 280 - Tea and coffee drinking
115 C. M. Greiser 2007 42 48,153 12 238 ‬‬ Menopausal hormone therapy
116 Catherine M. Olsen 2007 28 1,640,615 53,182 1,587,433 Obesity
117 S. J. Jordan 2006 9 6474 910 5564 smoking
118 Stefanos Bonovas 2005 8 746,293 ‬‬ 741,888 Paracetamol
119 Susanna C. Larsson 2006 21 - - - Milk, milk products and lactose intake
120 Grimes DA 2009 3 500 - - Oral contraceptives
121 Stefanos Bonovas 2005 10 320,544 3803 316,741 Nonsteroidal anti-inflammatory drugs
122 L-Q Qin 2005 22 134,406 8372 126,034 Milk/dairy products consumption
123 Sonya Kashyap 2004 10 13,480 3624 9856 Assisted Reproductive Technology
124 M. Huncharek 2003 16 11,933 - - Cosmetic talc
125 V Bagnardi 2001 235 117 471 235 ‬‬ Alcohol drinking
126 Michael Huncharek 2009 8 6,689 2529 4160 Dietary Fat Intake
127 S. S. Coughlin 2000 15 - - - Estrogen replacement therapy
128 Pushkal P. Garg 1998 9 259,794 4392 255,402 Hormone replacement therapy
129 John F. Stratton 1998 15 - 6077 - Family history
130 Bowen Zheng 2018 13 142,189 5777 136,412 Dietary fiber intake
131 Hai-Fang Wang 2017 22 1,485,988 - - Empirically derived dietary patterns
132 Hui Xu 2018 19 567,742 - - Dietary fiber intake
133 Dongyu Zhang 2018 14 180,833 7500 ‬‬ Non-herbal tea consumption
134 Yun-Long Huo 2018 6 81,791 7878 73,913 antidepressant medication
135 Massimiliano Berretta 2018 9 787,076 3,541 ‬‬ Coffee consumption
136 Jiaqi Li 2018 7 65,754 - - vitamin D receptor
137 Xianling Zeng 2018 11 9987 4097 5890 RAD51 135 G/C polymorphism
138 Marieke GM Braem 2012 3 330,849 1244 329,605 Coffee and tea consumption
139 Shanliang Zhong 2014 19 730,703 9,459 ‬‬ Nonoccupational physical activity
140 Xiumin Huang 2018 17 149,177 7609 73,168 dietary fiber intake
141 Ting Liu 2013 17 16,363 6,365 9,998 Progesterone receptor PROGINS
142 Yanyang Pang 2018 10 2354 - - Dietary protein intake
143 Ke Wei Foong 2017 43 3,491,943 - - Obesity
144 Lingling Zhou 2015 2 774 389 385 SNP rs763110
145 Rizzuto I 2013 25 182,972 - - ovarian stimulating drugs for infertility
146 Yanqiong Liu 2014 5 624 - - Statin
147 Ahmad Sayasneh 2011 8 - 653 - Endometriosis
148 Jia li 2018 25 957,152 - - Endometriosis
149 Ho Kyung Sung 2016 32 530,950 7639 523,311 Breastfeeding
150 Mahdieh Kamali 2017 17 10,817 4464 6353 XRCC2 rs3218536
151 Menelaos Zafrakas 2014 16 - 17,445 - Endometriosis
152 Dagfinn Aune 2015 28 - - - Anthropometric factors
153 QIAO WANG 2015 4 1985 627 1358 circulating insulin
154 Yihua Yin 2013 11 6192 2,673 3519 glutathione S-transferase
155 Ximena Gianuzzi 2016 14 8130 1,149 6981 Insulin growth factor (IGF)
156 Li-Ling Liu 2014 4 2675 1073 1602 transforming growth factor b receptor
157 Yong-qiang Wang 2012 4 580,581 2444 578,137 TGFBR1 Polymorphisms
158 Dongyang Li 2018 44 1,082,092 48,345 1,033,747 Dietary inflammatory index
159 Si Huang 2018 10 4605 2394 2211 miR-502-binding site
160 Eileen Deuster 2017 200 - - - VDR
161 Ru Chen 2017 28 3362 2,171 1191 MGMT Promoter
162 Joanna Kruk 2017 26 - - - Dietary alkylresorcinols
163 Xue-Feng Li 2017 11 33,209 14,030 19,179 lncRNA H19 polymorphisms
164 Yan Jiang 2017 1 285 165 120 ARLTS1 polymorphism
165 Qiuyan Li 2017 7 - - - BRCA2 rs144848 polymorphism
166 Mohamed Hosny Osman 2017 1 2,116,029 7124 2,108,905 Cardiac glycosides
167 Erjiang Zhao 2017 4 - - - Glutathione S-transferase
168 Giuseppe Grosso 2017 4 - - - Diet
169 Limin Miao 2017 6 6027 2156 3871 BRCA1 P871L polymorphism
170 Na-Na Yang 2017 4 2110 944 1166 XRCC1 polymorphism
171 Giuseppe Grosso 2016 53 - - - Dietary flavonoid
172 Juan Enrique Schwarze 2017 4 - - - Reproduction technologies
173 Rosanne M. Kho 2016 10 - - - Hysterectomy
174 K Robinson 2016 11 - - - Bisexual
175 Hong-Bae Kim 2016 6 1937 - - Benzodiazepine
176 Chuanjie Zhang 2017 3 2628 1276 1352 NFκB1-94ins/del ATTG
177 Minjie Chu 2016 2 18,540 6,857 11,683 H19 lncRNA
178 Duan Wang 2016 4 3036 1463 1573 NFKB1 −94 ins/del ATTG
179 Jun Wang 2016 19 3,87,71,388 13,116 38,758,272 BMI
180 Yun-Feng Zhang 2015 1 549 229 320 IL-27 Genes
181 Ping Wang 2016 2 - - - MDM2 SNP285
182 Wenkai Xia 2015 4 1248 497 751 ESR2
183 Lei Chen 2016 2 - - - L55M polymorphism
184 Davide Serrano 2015 3 5456 2313 3143 VDR
185 Ranadip Chowdhury 2015 41 - - - Breastfeeding
186 Zhi-Ming Dai 2015 3 3530 1475 2055 VDR
187 Claudio Pelucchi 2014 4 - 2,010 - Dietary acrylamide
188 Yu-Fei Zhang 2015 6 619 714 2933 ‬‬ Tea consumption
189 Jin-Lin Cao 2015 2 9245 3102 6143 TERT Genetic Polymorphism
190 Myung-Jin Muna 2015 6 ‬‬ 4107 6661 VDR
191 NaNa Keum 2015 6 - - - Weight Gain
192 Sheng-Song Chen 2015 2 1185 556 629 MMP-12 82 A/G polymorphism
193 Bei-bei Zhang 2014 45 57,328 28,956 28,372 Genetic 135G/C polymorphism
194 Sara Raimondi 2014 5 97,275 45,218 52,057 BsmI polymorphism
195 Shang Xie 2014 15 11,644 5873 5771 LIG4 gene polymorphisms
196 Wen-Qiong Xue 2014 4 ‬‬ 36,299 48,483 BRCA2 N372H
197 Patrizia Gnagnarella 2014 6 10,588 4051 6537 VDR
198 Peter Boyle 2014 2 - - - Sweetened carbonated beverage consumption
199 Tara M. Friebel 2014 5 - - - BRCA1 and BRCA2
200 Xin Wang 2014 41 42,121 17,814 24,307 FAS rs2234767G/A Polymorphism
201 Yeqiong Xu 2013 7 11,009 4210 6799 VDR
202 H S Kim 2014 35 444 255 - - Endometriosis
203 Yazhou He 2014 7 69,524 30,868 38,656 XRCC2 Arg188His Polymorphismc
204 Weifeng Tang 2014 14 27,269 11,245 16,024 Aurora-A V57I (rs1047972) Polymorphism
205 Yeqiong Xu 2014 3 937 457 480 Polymorphisms
206 Mengmeng Zhao 2014 42 39,505 19,142 20,363 Rad51 G135C
207 Xiao Yang 2014 21 ‬‬ 6127 9238 NFKB1 −94ins/del ATTG Promoter
208 Bai-Lin Zhang 2014 7 - 9956 - Blood Groups
209 Ursula Schwab 2014 - - - - Dietary fat on cardiometabolic
210 Tie-Jun Liang 2013 21 8720 3,498 5,222 137G>C polymorphism
211 Wei Wang 2013 39 41,698 19,068 22,630 RAD51 135 G.C Polymorphism
212 Lei Xu 2013 47 43,295 19,810 23,485 FASL rs763110 Polymorphism
213 Jingxiang Chen 2013 19 48,670 14,814 33,856 TCF7L2 Gene Polymorphism
214 Monica Franciosi 2013 53 1,050,984 - - Metformin
215 Zhou Zhong-Xing 2013 41 42,169 17,858 24,311 FAS-1377 G/A (rs2234767) Polymorphism
216 Zhibin Yu 2013 73 38,278 15,942 22,336 Interleukin 10 - 819 C/T Polymorphism
217 Shangqian Wang 2013 2 1706 794 912 PAI-1 4G/5G Polymorphism
218 Li Li Li 2013 8 746,455 - - Fertilization
219 XIN XU 2012 21 17,623 8,415 9,208 PAI-1 promoter
220 Dominique Trudel 2012 22 - - - Green tea
221 Tian-Biao Zhou 2012 6 2,658 1,461 1,197 Gene Polymorphism
222 Xin-Min Pan 2011 17 27,759 13 691 14 068 MLH1 -93 G>A polymorphism
223 Jane Green 2011 - - 4830 - Height
224 C. Pelucchi 2011 3 - 1594 - Acrylamide
225 Bo Peng 2010 4 1240 443 797 Polymorphisms
226 Bahi Takkouche 2009 10 - - - Hairdressers
227 Bahi Takkouche 2005 2 556 238 318 Hair Dyes
228 V. G. Kaklamani 2003 1 907 659 248 TGFBR1*6A
229 Song Mao 2018 3 - - - klotho expression
230 Mukete Franklin Sona 2018 15 1 915 179 31 893 1,911,045 Type 1 diabetes mellitus
231 Christine Schwarz 2018 4 - - - Night shift work
232 Xiaoqing Shi 2018 - 1208 604 604 NME1 polymorphisms
233 H.J. van der Rhee 2006 2 - - - Sunlight
234 Nadin Younes 2018 44 - 805 - Polymorphisms
235 Yue Xu 2016 1 - - - BHMT gene rs3733890
236 Zhong Tian 2013 46 51,413 22,993 28,420 CYP1A2*1F polymorphism
237 Yu Wang 2018 1 79,988 - - Renal transplants
238 T. O. Yang 2014 - 453 023 2009 451,014 Birth weight
239 Lanhua Tang 2017 - - - - Night work
240 Steven M. Koehler 2012 8 - - - BMP-2
241 Yan Zhang 2013 9 5632 2,331 3,301 VDR
242 Ivana Rizzuto 2013 25 182,972 - - Stimulating drugs for infertility
243 Xiao-san Zhang 2018 7 105,507 6783 98,724 Bisphosphonates
use
244 Yun Ye 2018 10 1045 - - B7-H4 expression
245 Junga Lee 2018 34 - - - Physical activity
246 Huijun Yang 2019 26 1,174,527 11 410 1 163 117 Age at menarche
247 M. Kadry Taher 2019 27 214,447 15,303 199,144 Perineal use of talc powder
248 Yanjun Wu 2019 13 2,471,030 19,959 2,451,071 Age at last birth
249 A. Moazeni-Roodi 2019 19 37,036 13,562 23,474 MDM2 40 bp indel polymorphism
250 Fateme Shafiei (2018) 2019 22 40 140 8568 31,572 Caffeine
251 Lindsay J. Wheeler 2019 11 13,591 4,484 9,107 Intrauterine Device Use
252 Yuhang Long 2019 16 437,689 4,553 433,136 vitamin C intake
253 M. Arjmand (2020) 2019 16 4184 1106 3078 Circulating omentin levels
254 Claudia Santucci 2019 37 - 70,646 - smoking
255 A. Salari-Moghaddam 2019 14 - 4434 - Caffeine
256 M. Karimi-Zarchi 2019 11 12,720 4990 7730 MTHFR 677 C>T Polymorphism
257 Fan Yang 2019 2 445 - - ERCC1 gene polymorphisms
258 Tingting Yang 2019 3 - - - Work Stress
259 Youxu Leng 2019 14 - 4597 - vitamin E
260 Jalal Choupani 2019 4 9532 843 110 mir-196a-2 rs11614913
261 Xiaqin Huo 2019 18 - 14,440 - Hysterectomy
262 A. Bodurtha Smith 2019 58 292,730 528 292,202 HIV
263 Alireza Sadeghia 2019 21 900,000 - - Dietary Fat Intake
264 Kui Zhang 2019 13 40,404 6449 33,955 Fermented dairy foods
265 Zohre Momenimovahed 2019 20 - - - Fertility Drugs
266 Christina Bamia 2019 31 - 13,111 - Coffee consumption
267 Boris Janssen 2019 115 - - - predicted pathogenic PALB2
268 Yang Liu 2019 12 1,193,201 - - Menopausal Hormone Replacement
269 Javaid Iqbal 2018 2 5093 1114 3979 Hormone Levels
270 Sen Li 2019 12 12,933 5057 7876 Genetic polymorphism of MTHFR C677T
271 Guisheng He 2019 45 1,059,975 329,035 730,940 TERT rs10069690 polymorphism
272 Yizi Wang 2019 36 4, 229,061 - - Statin use
273 Jun Yu 2019 83 21,612 - - SFRP promoter hypermethylation
274 Qiao Wen 2019 7 1,710,080 - - Metformin
275 Suszynska M1 2019 5 3748 1919 1829 EPHX1 polymorphism rs1051740
276 Tian Xu1 2019 21 29,981 13,675 16,306 HOTAIR polymorphisms
277 Jinghua Shi 2018 13 901,287 - - Metformin