apoidea/pubtabnet-html · Datasets at Hugging Face

split stringclasses 1 value	imgid int64 3 549k	html stringlengths 540 86.9k	html_table stringlengths 557 50.4k
train	385,183	{'cells': [{'tokens': ['<b>', 'K', 'i', 'n', 'e', 't', 'i', 'c', ' ', 'p', 'a', 'r', 'a', 'm', 'e', 't', 'e', 'r', '</b>'], 'bbox': [5, 9, 66, 19]}, {'tokens': ['<b>', 'N', 'D', '</b>'], 'bbox': [104, 9, 118, 19]}, {'tokens': ['<b>', 'D', '</b>'], 'bbox': [204, 9, 212, 19]}, {'tokens': ['<b>', 'D', ' ', '+', ' ', 'd', 'n', '-', 'R', 'h', 'o', 'A', '</b>'], 'bbox': [304, 9, 351, 19]}, {'tokens': ['<b>', 'D', ' ', '+', ' ', 'd', 'n', '-', 'R', 'a', 'c', '1', '</b>'], 'bbox': [404, 9, 450, 19]}, {'tokens': ['V', 'm', 'a', 'x'], 'bbox': [5, 25, 25, 35]}, {'tokens': ['1', '9', '.', '6', ' ', '±', ' ', '0', '.', '7', '5'], 'bbox': [104, 25, 148, 35]}, {'tokens': ['2', '6', '.', '2', ' ', '±', ' ', '0', '.', '8', '6', '*'], 'bbox': [204, 25, 250, 35]}, {'tokens': ['3', '1', '.', '3', ' ', '±', ' ', '0', '.', '8', '8', '<sup>', '†', '</sup>'], 'bbox': [304, 25, 350, 35]}, {'tokens': ['2', '1', '.', '6', ' ', '±', ' ', '0', '.', '9'], 'bbox': [404, 25, 442, 35]}, {'tokens': ['K', "'", ' ', 'f', 'o', 'r', ' ', 'H', '<sup>', '+', '</sup>'], 'bbox': [5, 40, 36, 50]}, {'tokens': ['0', '.', '1', '5', '0', ' ', '±', ' ', '0', '.', '0', '2'], 'bbox': [104, 41, 152, 50]}, {'tokens': ['0', '.', '1', '1', '3', ' ', '±', ' ', '0', '.', '0', '5', '<sup>', '†', '</sup>'], 'bbox': [204, 40, 255, 50]}, {'tokens': ['0', '.', '1', '0', '5', ' ', '±', ' ', '0', '.', '0', '7', '<sup>', '†', '</sup>'], 'bbox': [304, 40, 354, 50]}, {'tokens': ['0', '.', '1', '3', '7', ' ', '±', ' ', '0', '.', '0', '2', '3'], 'bbox': [404, 41, 456, 50]}, {'tokens': ['n', '<sub>', 'a', 'p', 'p', '</sub>'], 'bbox': [5, 56, 20, 67]}, {'tokens': ['2', '.', '1', '9'], 'bbox': [104, 56, 122, 66]}, {'tokens': ['2', '.', '1', '6'], 'bbox': [204, 56, 222, 66]}, {'tokens': ['2', '.', '0', '3'], 'bbox': [304, 56, 322, 66]}, {'tokens': ['2', '.', '2', '3'], 'bbox': [404, 56, 421, 66]}], 'structure': {'tokens': ['<thead>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '</thead>', '<tbody>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '</tbody>']}}	<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Kinetic parameter </b> </td> <td> <b> ND </b> </td> <td> <b> D </b> </td> <td> <b> D + dn-RhoA </b> </td> <td> <b> D + dn-Rac1 </b> </td> </tr> </thead> <tbody> <tr> <td> Vmax </td> <td> 19.6 ± 0.75 </td> <td> 26.2 ± 0.86* </td> <td> 31.3 ± 0.88 <sup> † </sup> </td> <td> 21.6 ± 0.9 </td> </tr> <tr> <td> K' for H <sup> + </sup> </td> <td> 0.150 ± 0.02 </td> <td> 0.113 ± 0.05 <sup> † </sup> </td> <td> 0.105 ± 0.07 <sup> † </sup> </td> <td> 0.137 ± 0.023 </td> </tr> <tr> <td> n <sub> app </sub> </td> <td> 2.19 </td> <td> 2.16 </td> <td> 2.03 </td> <td> 2.23 </td> </tr> </tbody> </table> </body> </html>
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'</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '</tbody>']}}	<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Characteristic </b> </td> <td> <b> Cases (n = 1125) </b> </td> <td> <b> Controls (n = 1197) </b> </td> <td> <b> P-value <sup> a </sup> </b> </td> </tr> </thead> <tbody> <tr> <td> Demographic factors </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Age (years [mean ± SD]) </td> <td> 47.63 ± 8.00 </td> <td> 47.20 ± 8.78 </td> <td> 0.217 </td> </tr> <tr> <td> Education, lower than middle school (%) </td> <td> 12.27 </td> <td> 14.79 </td> <td> 0.124 </td> </tr> <tr> <td> Major risk factors </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Breast cancer in first-degree relatives (%) </td> <td> 3.38 </td> <td> 2.26 </td> <td> 0.101 </td> </tr> <tr> <td> Ever had breast fibroadenoma (%) </td> <td> 9.78 </td> <td> 5.26 </td> <td> < 0.001 </td> </tr> <tr> <td> Age at menarche (years [mean ± SD]) </td> <td> 14.41 ± 1.64 </td> <td> 14.71 ± 1.73 </td> <td> 0.004 </td> </tr> <tr> <td> Age at first live birth <sup> b </sup> (years [mean ± SD]) </td> <td> 26.82 ± 4.07 </td> <td> 26.17 ± 3.83 </td> <td> < 0.001 </td> </tr> <tr> <td> Age at menopause <sup> c </sup> (years [mean ± SD]) </td> <td> 48.17 ± 4.65 </td> <td> 47.46 ± 4.95 </td> <td> 0.036 </td> </tr> <tr> <td> Physically active in past 10 years (%) </td> <td> 19.40 </td> <td> 26.00 </td> <td> < 0.001 </td> </tr> <tr> <td> Body mass index (mean ± SD) </td> <td> 23.54 ± 3.39 </td> <td> 23.25 ± 3.45 </td> <td> 0.047 </td> </tr> <tr> <td> Waist-to-hip ratio (mean ± SD) </td> <td> 0.81 ± 0.06 </td> <td> 0.80 ± 0.06 </td> <td> 0.004 </td> </tr> </tbody> </table> </body> </html>
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<td> 1174 (98.1) </td> <td> 1.0 </td> <td> Reference </td> </tr> <tr> <td> Ala/Ala </td> <td> 28 (2.5) </td> <td> 23 (1.9) </td> <td> 1.3 </td> <td> 0.7–2.3 </td> </tr> <tr> <td colspan="5"> <b> Stratified analyses by menopausal status </b> </td> </tr> <tr> <td> Premenopausal women </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Val/Val and Val/Ala </td> <td> 729 (97.2) </td> <td> 751 (98.4) </td> <td> 1.0 </td> <td> Reference </td> </tr> <tr> <td> Ala/Ala </td> <td> 21 (2.8) </td> <td> 12 (1.6) </td> <td> 1.8 </td> <td> 0.9–3.7 </td> </tr> <tr> <td> Postmenopausal women </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Val/Val and Val/Ala </td> <td> 363 (98.1) </td> <td> 419 (97.4) </td> <td> 1.0 </td> <td> Reference </td> </tr> <tr> <td> Ala/Ala </td> <td> 7 (1.9) </td> <td> 11 (2.6) </td> <td> 0.8 </td> <td> 0.3–2.0 </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> <i> P </i> for interaction = 0.147 </td> <td> </td> </tr> <tr> <td colspan="5"> <b> Stratified analyses by age </b> </td> </tr> <tr> <td> Age < 45 years </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Val/Val and Val/Ala </td> <td> 442 (97.1) </td> <td> 488 (98.4) </td> <td> 1.0 </td> <td> Reference </td> </tr> <tr> <td> Ala/Ala </td> <td> 13 (2.9) </td> <td> 8 (1.6) </td> <td> 1.8 </td> <td> 0.7–4.3 </td> </tr> <tr> <td> Age ≥ 45 years </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Val/Val and Val/Ala </td> <td> 655 (97.8) </td> <td> 686 (97.9) </td> <td> 1.0 </td> <td> Reference </td> </tr> <tr> <td> Ala/Ala </td> <td> 15 (2.2) </td> <td> 15 (2.1) </td> <td> 1.1 </td> <td> 0.5–2.2 </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> <i> P </i> for interaction = 0.380 </td> <td> </td> </tr> </tbody> </table> </body> </html>
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459) </b> </td> </tr> <tr> <td> </td> <td> <b> <i> n </i> </b> </td> <td> <b> % </b> </td> <td> <b> <i> n </i> </b> </td> <td> <b> % </b> </td> </tr> </thead> <tbody> <tr> <td> Age at reference (years) </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> < 35 </td> <td> 62 </td> <td> 12.3 </td> <td> 80 </td> <td> 17.4 </td> </tr> <tr> <td> 35+ </td> <td> 444 </td> <td> 87.7 </td> <td> 379 </td> <td> 82.6 </td> </tr> <tr> <td> Race </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> White </td> <td> 450 </td> <td> 88.9 </td> <td> 412 </td> <td> 89.8 </td> </tr> <tr> <td> Nonwhite </td> <td> 56 </td> <td> 11.1 </td> <td> 47 </td> <td> 10.2 </td> </tr> <tr> <td> Family history </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> None </td> <td> 280 </td> <td> 56.7 </td> <td> 294 </td> <td> 66.1 </td> </tr> <tr> <td> First degree </td> <td> 94 </td> <td> 19.0 </td> <td> 36 </td> <td> 8.1 </td> </tr> <tr> <td> Second degree </td> <td> 120 </td> <td> 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genotype </b> </td> <td colspan="2"> <b> All participants </b> </td> <td colspan="2"> <b> Premenopausal </b> </td> <td colspan="2"> <b> Postmenopausal </b> </td> </tr> </thead> <tbody> <tr> <td> </td> <td> </td> <td> Patients/controls </td> <td> OR (95% CI) <sup> b </sup> </td> <td> Patients/controls </td> <td> OR (95% CI) <sup> b </sup> </td> <td> Patients/controls </td> <td> OR (95% CI) <sup> b </sup> </td> </tr> <tr> <td> <0.349 </td> <td> Non-M2 </td> <td> 210/158 </td> <td> Referent </td> <td> 141/98 </td> <td> Referent </td> <td> 69/60 </td> <td> Referent </td> </tr> <tr> <td> ≥0.349 </td> <td> Non-M2 </td> <td> 138/166 </td> <td> 0.7 (0.5–1.0) </td> <td> 45/51 </td> <td> 0.6 (0.4–1.0) </td> <td> 93/115 </td> <td> 0.8 (0.5–1.2) </td> </tr> <tr> <td> <0.349 </td> <td> Any M2 </td> <td> 11/20 </td> <td> 0.4 (0.2–0.8) </td> <td> 8/16 </td> <td> 0.3 (0.1–0.8) </td> <td> 3/4 </td> <td> 0.7 (0.1–3.1) </td> </tr> <tr> <td> ≥0.349 </td> <td> Any M2 </td> <td> 15/14 </td> <td> 0.9 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colspan="2"> <b> All participants </b> </td> <td colspan="2"> <b> Premenopausal </b> </td> <td colspan="2"> <b> Postmenopausal </b> </td> </tr> </thead> <tbody> <tr> <td> </td> <td> </td> <td> Patients/controls </td> <td> OR (95% CI) <sup> b </sup> </td> <td> Patients/controls </td> <td> OR (95% CI) <sup> b </sup> </td> <td> Patients/controls </td> <td> OR (95% CI) <sup> b </sup> </td> </tr> <tr> <td> <0.430 </td> <td> Non-M3 </td> <td> 95/95 </td> <td> Referent </td> <td> 73/70 </td> <td> Referent </td> <td> 22/25 </td> <td> Referent </td> </tr> <tr> <td> ≥0.430 </td> <td> Non-M3 </td> <td> 105/100 </td> <td> 1.3 (0.8–2.0) </td> <td> 31/24 </td> <td> 1.6 (0.8–3.2) </td> <td> 74/76 </td> <td> 1.0 (0.5–2.0) </td> </tr> <tr> <td> <0.430 </td> <td> Any M3 </td> <td> 13/26 </td> <td> 0.6 (0.3–1.2) </td> <td> 8/14 </td> <td> 0.7 (0.3–1.7) </td> <td> 5/12 </td> <td> 0.5 (0.2–1.6) </td> </tr> <tr> <td> ≥0.430 </td> <td> Any M3 </td> <td> 29/21 </td> <td> 1.6 (0.8–3.2) </td> <td> 7/6 </td> <td> 1.5 (0.5–4.7) </td> <td> 22/15 </td> <td> 1.5 (0.6–3.6) </td> </tr> <tr> <td> ICR (95% CI) </td> <td> </td> <td> </td> <td> 0.8 (-0.3,1.9) </td> <td> </td> <td> 0.2 (-1.7,2.1) </td> <td> </td> <td> 1.0 (-0.2,2.1) </td> </tr> </tbody> </table> </body> </html>
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</td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td colspan="2"> <b> <sup> 99m </sup> Tc-(V) DMSA </b> </td> <td colspan="2"> <b> <sup> 99m </sup> Tc-Sestamibi </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> Focal uptake </b> </td> <td> <b> Diffuse uptake </b> </td> <td> <b> Focal uptake </b> </td> <td> <b> Diffuse uptake </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> </thead> <tbody> <tr> <td> 1 </td> <td> 50 </td> <td> IDC + DCIS </td> <td> II </td> <td> 6.0 </td> <td> Comedo </td> <td> 5.0 </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> - </td> <td> - </td> <td> 8 </td> <td> 8 </td> <td> 50 </td> </tr> <tr> <td> 2 </td> <td> 58 </td> <td> IDC + DCIS </td> <td> III </td> <td> 2.5 </td> <td> Comedo </td> <td> 5.0 </td> <td> (-) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (-) </td> <td> - </td> <td> - </td> <td> 0 </td> <td> 0 </td> <td> 25 </td> </tr> <tr> <td> 3 </td> <td> 49 </td> <td> IDC + DCIS </td> <td> I </td> <td> 1.0 </td> <td> Comedo </td> <td> 6.0 </td> <td> (+) </td> <td> (-) </td> <td> (+) </td> <td> (-) </td> <td> (-) </td> <td> ++ </td> <td> - </td> <td> 0 </td> <td> 20 </td> <td> 55 </td> </tr> <tr> <td> 4 </td> <td> 65 </td> <td> IDC + DCIS </td> <td> II </td> <td> 5.0 </td> <td> Comedo </td> <td> 9.0 </td> <td> (-) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> - </td> <td> - </td> <td> 10 </td> <td> 50 </td> <td> 35 </td> </tr> <tr> <td> 5 </td> <td> 54 </td> <td> IDC + DCIS </td> <td> II </td> <td> 5.0 </td> <td> Comedo </td> <td> 7.0 </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> - </td> <td> - </td> <td> 0 </td> <td> 50 </td> <td> 45 </td> </tr> <tr> <td> 6 </td> <td> 48 </td> <td> IDC + DCIS </td> <td> II </td> <td> 2.5 </td> <td> Solid </td> <td> 5.0 </td> <td> (-) </td> <td> (+) </td> <td> (+) </td> <td> (-) </td> <td> (-) </td> <td> ++ </td> <td> + </td> <td> 0 </td> <td> 0 </td> <td> 15 </td> </tr> <tr> <td> 7 </td> <td> 77 </td> <td> IDC + DCIS </td> <td> III </td> <td> 3.0 </td> <td> Comedo + cribriform </td> <td> 4.0 </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (-) </td> <td> + </td> <td> - </td> <td> 0 </td> <td> 0 </td> <td> 35 </td> </tr> <tr> <td> 8 </td> <td> 40 </td> <td> IDC + DCIS </td> <td> II </td> <td> 1.5/1.8/2.0 (multifocal) </td> <td> Comedo </td> <td> 6.0 </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (-) </td> <td> + </td> <td> - </td> <td> 10 </td> <td> 10 </td> <td> 10 </td> </tr> <tr> <td> 9 </td> <td> 50 </td> <td> DCIS </td> <td> </td> <td> </td> <td> Comedo </td> <td> 0.8 </td> <td> (-) </td> <td> (-) </td> <td> (-) </td> <td> (-) </td> <td> (-) </td> <td> - </td> <td> - </td> <td> 8 </td> <td> 15 </td> <td> 32 </td> </tr> <tr> <td> 10 </td> <td> 53 </td> <td> IDC + DCIS </td> <td> II </td> <td> 1.5 </td> <td> Comedo </td> <td> 4.0 </td> <td> (-) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> - </td> <td> - </td> <td> 25 </td> <td> 0 </td> <td> 35 </td> </tr> <tr> <td> 11 </td> <td> 86 </td> <td> IDC + DCIS </td> <td> III </td> <td> 2.0 </td> <td> Comedo </td> <td> 3.0 </td> <td> (-) </td> <td> (+) </td> <td> (+) </td> <td> Not performed </td> <td> </td> <td> - </td> <td> - </td> <td> 0 </td> <td> 0 </td> <td> 42 </td> </tr> <tr> <td> 12 </td> <td> 66 </td> <td> DCIS </td> <td> </td> <td> </td> <td> - </td> <td> 3.0 </td> <td> (-) </td> <td> (-) </td> <td> (+) </td> <td> Not performed </td> <td> </td> <td> - </td> <td> - </td> <td> 0 </td> <td> 0 </td> <td> 35 </td> </tr> <tr> <td> 13 </td> <td> 71 </td> <td> IDC + DCIS </td> <td> II </td> <td> 0.7 </td> <td> Cribriform </td> <td> 8.0 </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> Not performed </td> <td> </td> <td> +++ </td> <td> + </td> <td> 0 </td> <td> 80 </td> <td> 55 </td> </tr> <tr> <td> 14 </td> <td> 60 </td> <td> IDC + DCIS </td> <td> II </td> <td> 2.9 </td> <td> Comedo + micropapillary </td> <td> 5.0 </td> <td> (-) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> - </td> <td> - </td> <td> 27 </td> <td> 75 </td> <td> 15 </td> </tr> <tr> <td> 15 </td> <td> 50 </td> <td> IDC + DCIS </td> <td> II </td> <td> 2.0 </td> <td> Micropapillary </td> <td> 2.0 </td> <td> (-) </td> <td> Not performed </td> <td> </td> <td> (+) </td> <td> (+) </td> <td> - </td> <td> - </td> <td> 0 </td> <td> 0 </td> <td> 31 </td> </tr> <tr> <td> 16 </td> <td> 38 </td> <td> IDC + DCIS </td> <td> III </td> <td> 4.3 </td> <td> Comedo </td> <td> 4.0 </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> Not performed </td> <td> </td> <td> + </td> <td> ++ </td> <td> 0 </td> <td> 50 </td> <td> 45 </td> </tr> <tr> <td> 17 </td> <td> 61 </td> <td> DCIS </td> <td> </td> <td> </td> <td> Comedo + solid </td> <td> 5.0 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(linear regression) </b> </td> </tr> </thead> <tbody> <tr> <td> MCF10A ( <i> n </i> = 6) </td> <td> 30.3 ± 3.0 </td> <td> 30.3 ± 3.0 </td> <td> MCF10A vs MCF10A + NAF ( <i> P </i> = 0.009) </td> <td> MCF10A + NAF vs MCF10A + CAF ( <i> P </i> = 0.501) </td> </tr> <tr> <td> NAF-1 + MCF10A ( <i> n </i> = 7) </td> <td> 21.9 ± 4.2 </td> <td> 16.1 ± 2.6 ( <i> n </i> = 19) </td> <td> </td> <td> </td> </tr> <tr> <td> NAF-2 + MCF10A ( <i> n </i> = 6) </td> <td> 10.7 ± 3.6 </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> NAF-3 + MCF10A ( <i> n </i> = 6) </td> <td> 14.7 ± 5.0 </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> CAF-1 + MCF10A ( <i> n </i> = 8) </td> <td> 15.2 ± 2.0 </td> <td> 18.5 ± 2.5 ( <i> n </i> = 19) </td> <td> MCF10A vs MCF10A + CAF ( <i> P </i> = 0.024) </td> <td> </td> </tr> <tr> <td> CAF-2 + MCF10A ( <i> n </i> = 6) </td> <td> 15.5 ± 4.2 </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> CAF-3 + MCF10A ( <i> n </i> = 5) </td> <td> 27.6 ± 6.7 </td> <td> </td> <td> </td> <td> </td> </tr> </tbody> </table> </body> </html>
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font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Cell type </b> </td> <td colspan="4"> <b> IGF II level (normalized to total protein) </b> </td> </tr> <tr> <td> </td> <td colspan="2"> <b> Monoculture </b> </td> <td colspan="2"> <b> Co-culture with MCF10AT cells </b> </td> </tr> <tr> <td> </td> <td> <b> Level (ng/μg) </b> </td> <td> <b> Mean (ng/μg) </b> </td> <td> <b> Level (ng/μg) </b> </td> <td> <b> Mean (ng/μg) </b> </td> </tr> </thead> <tbody> <tr> <td> NAF </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> NAF-1 </td> <td> 49.25 </td> <td> </td> <td> 9.68 </td> <td> </td> </tr> <tr> <td> NAF-2 </td> <td> 45.00 </td> <td> </td> <td> 10.22 </td> <td> </td> </tr> <tr> <td> NAF-3 </td> <td> 68.14 </td> <td> 54.13 </td> <td> 10.27 </td> <td> 10.06 </td> </tr> <tr> <td> CAF </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> CAF-1 </td> <td> 70.64 </td> <td> </td> <td> 10.01 </td> <td> </td> </tr> <tr> <td> CAF-2 </td> <td> 52.37 </td> <td> </td> <td> 10.88 </td> <td> </td> </tr> <tr> <td> CAF-3 </td> <td> 52.96 </td> <td> 58.65 </td> <td> 9.96 </td> <td> 10.28 </td> </tr> <tr> <td colspan="5"> Breast epithelial cells </td> </tr> <tr> <td> MCF10AT </td> <td> 9.98 </td> <td> </td> <td> </td> <td> </td> </tr> </tbody> </table> </body> </html>
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colspan="2"> <b> Mothers </b> </td> <td colspan="2"> <b> Daughters </b> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <b> Genotype </b> </td> <td> <b> Affected </b> </td> <td> <b> Unaffected </b> </td> <td> <b> Affected </b> </td> <td> <b> Unaffected </b> </td> <td> <b> Fathers </b> </td> <td> <b> Sons </b> </td> <td> <b> Total </b> </td> </tr> </thead> <tbody> <tr> <td> <i> CYP17 </i> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> CC </td> <td> 2 </td> <td> 10 </td> <td> 47 </td> <td> 41 </td> <td> 6 </td> <td> 11 </td> <td> 117 </td> </tr> <tr> <td> CT </td> <td> 8 </td> <td> 32 </td> <td> 147 </td> <td> 108 </td> <td> 30 </td> <td> 22 </td> <td> 347 </td> </tr> <tr> <td> TT </td> <td> 2 </td> <td> 19 </td> <td> 107 </td> <td> 61 </td> <td> 8 </td> <td> 18 </td> <td> 215 </td> </tr> <tr> <td> Unknown </td> <td> 64 </td> <td> 140 </td> <td> 0 </td> <td> 0 </td> <td> 233 </td> <td> 0 </td> <td> 437 </td> </tr> <tr> <td> Total </td> <td> 76 </td> <td> 201 </td> <td> 301 </td> <td> 210 </td> <td> 277 </td> <td> 51 </td> <td> 1116 </td> </tr> <tr> <td> <i> CYP19 </i> (no. of TTTA repeats) </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> 7/7 </td> <td> 1 </td> <td> 15 </td> <td> 88 </td> <td> 55 </td> <td> 7 </td> <td> 21 </td> <td> 187 </td> </tr> <tr> <td> 7/8 </td> <td> 0 </td> <td> 10 </td> <td> 34 </td> <td> 29 </td> <td> 4 </td> <td> 5 </td> <td> 82 </td> </tr> <tr> <td> 7/9 </td> <td> 0 </td> <td> 0 </td> <td> 1 </td> <td> 0 </td> <td> 1 </td> <td> 0 </td> <td> 2 </td> </tr> <tr> <td> 7/10 </td> <td> 0 </td> <td> 1 </td> <td> 5 </td> <td> 6 </td> <td> 2 </td> <td> 0 </td> <td> 14 </td> </tr> <tr> <td> 7/11 </td> <td> 9 </td> <td> 19 </td> <td> 106 </td> <td> 71 </td> <td> 14 </td> <td> 19 </td> <td> 238 </td> </tr> <tr> <td> 7/12 </td> <td> 0 </td> <td> 2 </td> <td> 9 </td> <td> 8 </td> <td> 0 </td> <td> 0 </td> <td> 19 </td> </tr> <tr> <td> 7/13 </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> <td> 1 </td> <td> 0 </td> <td> 1 </td> </tr> <tr> <td> 8/8 </td> <td> 0 </td> <td> 0 </td> <td> 4 </td> <td> 1 </td> <td> 0 </td> <td> 0 </td> <td> 5 </td> </tr> <tr> <td> 8/10 </td> <td> 0 </td> <td> 1 </td> <td> 3 </td> <td> 2 </td> <td> 0 </td> <td> 0 </td> <td> 6 </td> </tr> <tr> <td> 8/11 </td> <td> 1 </td> <td> 2 </td> <td> 24 </td> <td> 16 </td> <td> 1 </td> <td> 3 </td> <td> 47 </td> </tr> <tr> <td> 8/12 </td> <td> 0 </td> <td> 0 </td> <td> 1 </td> <td> 2 </td> <td> 0 </td> <td> 0 </td> <td> 3 </td> </tr> <tr> <td> 8/13 </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> <td> 1 </td> <td> 0 </td> <td> 0 </td> <td> 1 </td> </tr> <tr> <td> 9/11 </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> <td> 1 </td> <td> 0 </td> <td> 0 </td> <td> 1 </td> </tr> <tr> <td> 10/11 </td> <td> 0 </td> <td> 0 </td> <td> 2 </td> <td> 3 </td> <td> 0 </td> <td> 2 </td> <td> 7 </td> </tr> <tr> <td> 11/11 </td> <td> 0 </td> <td> 5 </td> <td> 19 </td> <td> 16 </td> <td> 1 </td> <td> 1 </td> <td> 42 </td> </tr> <tr> <td> 11/12 </td> <td> 0 </td> <td> 1 </td> <td> 4 </td> <td> 2 </td> <td> 0 </td> <td> 0 </td> <td> 7 </td> </tr> <tr> <td> 11/13 </td> <td> 1 </td> <td> 0 </td> <td> 2 </td> <td> 1 </td> <td> 1 </td> <td> 0 </td> <td> 5 </td> </tr> <tr> <td> 11/not 11 <sup> a </sup> </td> <td> 1 </td> <td> 3 </td> <td> 0 </td> <td> 0 </td> <td> 5 </td> <td> 0 </td> <td> 9 </td> </tr> <tr> <td> Unknown </td> <td> 63 </td> <td> 143 </td> <td> 0 </td> <td> 0 </td> <td> 241 </td> <td> 0 </td> <td> 447 </td> </tr> <tr> <td> Total </td> <td> 76 </td> <td> 202 </td> <td> 302 </td> <td> 214 </td> <td> 278 </td> <td> 51 </td> <td> 1123 </td> </tr> </tbody> </table> </body> </html>
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<td> <b> Dominant model </b> </td> <td> <b> Additive model </b> </td> <td> <b> Recessive model </b> </td> <td> <b> Dominant model </b> </td> <td> <b> Additive model </b> </td> </tr> </thead> <tbody> <tr> <td> <i> CYP17 </i> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> C </td> <td> 42.46 </td> <td> - 1.01 </td> <td> - 1.52 </td> <td> - 1.85 </td> <td> 0.40 </td> <td> 1.08 </td> <td> 1.01 </td> </tr> <tr> <td> <i> P </i> </td> <td> </td> <td> 0.16 </td> <td> 0.06 </td> <td> 0.03 </td> <td> 0.34 </td> <td> 0.14 </td> <td> 0.16 </td> </tr> <tr> <td> <i> CYP19 </i> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> (TTTA) <sub> ≥10 </sub> </td> <td> 33.71 </td> <td> - 1.24 </td> <td> 1.26 </td> <td> 0.32 </td> <td> - 0.32 </td> <td> <b> 1.66 </b> </td> <td> 1.13 </td> </tr> <tr> <td> <i> P </i> </td> <td> </td> <td> 0.11 </td> <td> 0.10 </td> <td> 0.38 </td> <td> 0.37 </td> <td> 0.05 </td> <td> 0.13 </td> </tr> <tr> <td> (TTTA) <sub> 11 </sub> </td> <td> 28.78 </td> <td> - 1.09 </td> <td> <b> 1.83 </b> </td> <td> 0.97 </td> <td> - 1.50 </td> <td> <b> 1.96 </b> </td> <td> 0.89 </td> </tr> <tr> <td> <i> P </i> </td> <td> </td> <td> 0.14 </td> <td> 0.03 </td> <td> 0.17 </td> <td> 0.07 </td> <td> 0.03 </td> <td> 0.19 </td> </tr> </tbody> </table> </body> </html>
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</td> <td> 1.00 </td> </tr> <tr> <td> </td> <td> TC </td> <td> 87 </td> <td> 98 </td> <td> 0.86 (0.47–1.59) </td> </tr> <tr> <td> </td> <td> CC </td> <td> 25 </td> <td> 34 </td> <td> 0.55 (0.21–1.42) </td> </tr> <tr> <td colspan="4"> Additive model (trend per allele) </td> <td> 0.77 (0.49–1.21) </td> </tr> <tr> <td colspan="5"> <i> CYP19 </i> (no. of TTTA repeats) (169/175/193) </td> </tr> <tr> <td> Dominant model </td> <td> (TTTA) <sub> <10 </sub> (TTTA) <sub> <10 </sub> </td> <td> 67 </td> <td> 78 </td> <td> 1.00 </td> </tr> <tr> <td> </td> <td> (TTTA) <sub> ≥10 </sub> (TTTA) <sub> <10 </sub> /(TTTA) <sub> ≥10 </sub> (TTTA) <sub> ≥10 </sub> </td> <td> 108 </td> <td> 115 </td> <td> 1.24 (0.63–2.46) </td> </tr> <tr> <td> Recessive model </td> <td> (TTTA) <sub> <10 </sub> (TTTA) <sub> <10 </sub> /(TTTA) <sub> ≥10 </sub> (TTTA) <sub> <10 </sub> </td> <td> 159 </td> <td> 173 </td> <td> 1.00 </td> </tr> <tr> <td> </td> <td> (TTTA) <sub> ≥10 </sub> (TTTA) <sub> ≥10 </sub> </td> <td> 16 </td> <td> 20 </td> <td> 0.82 (0.30–2.24) </td> </tr> <tr> <td> General model </td> <td> (TTTA) <sub> <10 </sub> (TTTA) <sub> <10 </sub> </td> <td> 67 </td> <td> 78 </td> <td> 1.00 </td> </tr> <tr> <td> </td> <td> (TTTA) <sub> ≥10 </sub> (TTTA) <sub> <10 </sub> </td> <td> 92 </td> <td> 95 </td> <td> 1.26 (0.64–2.51) </td> </tr> <tr> <td> </td> <td> (TTTA) <sub> ≥10 </sub> (TTTA) <sub> ≥10 </sub> </td> <td> 16 </td> <td> 20 </td> <td> 0.98 (0.30–3.18) </td> </tr> <tr> <td colspan="4"> Additive model (trend per allele) </td> <td> 1.11 (0.65–1.89) </td> </tr> <tr> <td> Dominant model </td> <td> (TTTA) <sub> other </sub> (TTTA) <sub> other </sub> </td> <td> 77 </td> <td> 95 </td> <td> 1.00 </td> </tr> <tr> <td> </td> <td> (TTTA) <sub> 11 </sub> (TTTA) <sub> other </sub> /(TTTA) <sub> 11 </sub> (TTTA) <sub> 11 </sub> </td> <td> 98 </td> <td> 98 </td> <td> 1.77 (0.90–3.47) </td> </tr> <tr> <td> Recessive model </td> <td> (TTTA) <sub> other </sub> (TTTA) <sub> other </sub> /(TTTA) <sub> 11 </sub> (TTTA) <sub> other </sub> </td> <td> 165 </td> <td> 179 </td> <td> 1.00 </td> </tr> <tr> <td> </td> <td> (TTTA) <sub> 11 </sub> (TTTA) <sub> 11 </sub> </td> <td> 10 </td> <td> 14 </td> <td> 0.66 (0.19–2.33) </td> </tr> <tr> <td> General model </td> <td> (TTTA) <sub> other </sub> (TTTA) <sub> other </sub> </td> <td> 77 </td> <td> 95 </td> <td> 1.00 </td> </tr> <tr> <td> </td> <td> (TTTA) <sub> 11 </sub> (TTTA) <sub> other </sub> </td> <td> 88 </td> <td> 84 </td> <td> 1.84 (0.93–3.63) </td> </tr> <tr> <td> </td> <td> (TTTA) <sub> 11 </sub> (TTTA) <sub> 11 </sub> </td> <td> 10 </td> <td> 14 </td> <td> 1.04 (0.27–4.08) </td> </tr> <tr> <td colspan="4"> Additive model (trend per allele) </td> <td> 1.38 (0.79–2.40) </td> </tr> </tbody> </table> </body> </html>
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train

385,183

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> Kinetic parameter </td> <td> ND </td> <td> D </td> <td> D + dn-RhoA </td> <td> D + dn-Rac1 </td> </tr> </thead> <tbody> <tr> <td> Vmax </td> <td> 19.6 ± 0.75 </td> <td> 26.2 ± 0.86* </td> <td> 31.3 ± 0.88 † </td> <td> 21.6 ± 0.9 </td> </tr> <tr> <td> K' for H + </td> <td> 0.150 ± 0.02 </td> <td> 0.113 ± 0.05 † </td> <td> 0.105 ± 0.07 † </td> <td> 0.137 ± 0.023 </td> </tr> <tr> <td> n app </td> <td> 2.19 </td> <td> 2.16 </td> <td> 2.03 </td> <td> 2.23 </td> </tr> </tbody> </table> </body> </html>

train

490,573

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train

400,136

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> Genotype </td> <td> Cases ( n [%]) </td> <td> Controls ( n [%]) </td> <td> OR a </td> <td> 95% CI </td> </tr> </thead> <tbody> <tr> <td colspan="5"> All subjects </td> </tr> <tr> <td> Val/Val </td> <td> 831 (73.9) </td> <td> 884 (73.9) </td> <td> 1.0 </td> <td> Reference </td> </tr> <tr> <td> Val/Ala </td> <td> 266 (23.6) </td> <td> 290 (24.2) </td> <td> 1.0 </td> <td> 0.8–1.2 </td> </tr> <tr> <td> Ala/Ala </td> <td> 28 (2.5) </td> <td> 23 (1.9) </td> <td> 1.3 </td> <td> 0.7–2.3 </td> </tr> <tr> <td> Val/Val and Val/Ala </td> <td> 1097 (97.5) </td> <td> 1174 (98.1) </td> <td> 1.0 </td> <td> Reference </td> </tr> <tr> <td> Ala/Ala </td> <td> 28 (2.5) </td> <td> 23 (1.9) </td> <td> 1.3 </td> <td> 0.7–2.3 </td> </tr> <tr> <td colspan="5"> Stratified analyses by menopausal status </td> </tr> <tr> <td> Premenopausal women </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Val/Val and Val/Ala </td> <td> 729 (97.2) </td> <td> 751 (98.4) </td> <td> 1.0 </td> <td> Reference </td> </tr> <tr> <td> Ala/Ala </td> <td> 21 (2.8) </td> <td> 12 (1.6) </td> <td> 1.8 </td> <td> 0.9–3.7 </td> </tr> <tr> <td> Postmenopausal women </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Val/Val and Val/Ala </td> <td> 363 (98.1) </td> <td> 419 (97.4) </td> <td> 1.0 </td> <td> Reference </td> </tr> <tr> <td> Ala/Ala </td> <td> 7 (1.9) </td> <td> 11 (2.6) </td> <td> 0.8 </td> <td> 0.3–2.0 </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> P for interaction = 0.147 </td> <td> </td> </tr> <tr> <td colspan="5"> Stratified analyses by age </td> </tr> <tr> <td> Age < 45 years </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Val/Val and Val/Ala </td> <td> 442 (97.1) </td> <td> 488 (98.4) </td> <td> 1.0 </td> <td> Reference </td> </tr> <tr> <td> Ala/Ala </td> <td> 13 (2.9) </td> <td> 8 (1.6) </td> <td> 1.8 </td> <td> 0.7–4.3 </td> </tr> <tr> <td> Age ≥ 45 years </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Val/Val and Val/Ala </td> <td> 655 (97.8) </td> <td> 686 (97.9) </td> <td> 1.0 </td> <td> Reference </td> </tr> <tr> <td> Ala/Ala </td> <td> 15 (2.2) </td> <td> 15 (2.1) </td> <td> 1.1 </td> <td> 0.5–2.2 </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> P for interaction = 0.380 </td> <td> </td> </tr> </tbody> </table> </body> </html>

train

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> Tumor pairs </td> <td> Number </td> <td> HPV types a </td> </tr> </thead> <tbody> <tr> <td> Carcinoma + nipple + </td> <td> 17 </td> <td> Same type in both samples: 11 (7×) b , 6 (1×) b , 57 (2×)Different types: 3, 15, 16, 20, 21, 23, 27, 37, 38, 66, 87, DL250, DL473, GA3-1 </td> </tr> <tr> <td> Carcinoma - nipple + </td> <td> 3 </td> <td> 6, 11, 32, 37, 66 </td> </tr> <tr> <td> Carcinoma + nipple - </td> <td> 8 </td> <td> 6, 11, 24, 87, DL250, DL473 </td> </tr> <tr> <td> Carcinoma - nipple - </td> <td> 1 </td> <td> </td> </tr> </tbody> </table> </body> </html>

train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> Total PCBs a </td> <td> CYP1A1 M2 genotype </td> <td colspan="2"> All participants </td> <td colspan="2"> Premenopausal </td> <td colspan="2"> Postmenopausal </td> </tr> </thead> <tbody> <tr> <td> </td> <td> </td> <td> Patients/controls </td> <td> OR (95% CI) b </td> <td> Patients/controls </td> <td> OR (95% CI) b </td> <td> Patients/controls </td> <td> OR (95% CI) b </td> </tr> <tr> <td> <0.349 </td> <td> Non-M2 </td> <td> 210/158 </td> <td> Referent </td> <td> 141/98 </td> <td> Referent </td> <td> 69/60 </td> <td> Referent </td> </tr> <tr> <td> ≥0.349 </td> <td> Non-M2 </td> <td> 138/166 </td> <td> 0.7 (0.5–1.0) </td> <td> 45/51 </td> <td> 0.6 (0.4–1.0) </td> <td> 93/115 </td> <td> 0.8 (0.5–1.2) </td> </tr> <tr> <td> <0.349 </td> <td> Any M2 </td> <td> 11/20 </td> <td> 0.4 (0.2–0.8) </td> <td> 8/16 </td> <td> 0.3 (0.1–0.8) </td> <td> 3/4 </td> <td> 0.7 (0.1–3.1) </td> </tr> <tr> <td> ≥0.349 </td> <td> Any M2 </td> <td> 15/14 </td> <td> 0.9 (0.4–1.9) </td> <td> 6/2 </td> <td> 2.1 (0.4–10.6) </td> <td> 9/12 </td> <td> 0.7 (0.3–1.9) </td> </tr> <tr> <td> ICR (95% CI) </td> <td> </td> <td> </td> <td> 0.8 (0.1, 1.6) </td> <td> </td> <td> 2.1 (-1.3,5.5) </td> <td> </td> <td> 0.3 (-0.9,1.5) </td> </tr> </tbody> </table> </body> </html>

train

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> Patient </td> <td> Age (years) </td> <td> Histology </td> <td> Grade of invasive carcinoma (IDC/ILC) </td> <td> Size of IDC/ILC (cm) </td> <td> Type of DCIS/LCIS </td> <td> Size of DCIS/LCIS (cm) </td> <td> Mammography with suspicious microcalcifications </td> <td colspan="4"> Scintimammography </td> <td> Stromal reaction </td> <td> Lymphocytic infiltration </td> <td> p53 (%) </td> <td> c- erb B-2 (%) </td> <td> Ki-67 (%) </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td colspan="2"> 99m Tc-(V) DMSA </td> <td colspan="2"> 99m Tc-Sestamibi </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> Focal uptake </td> <td> Diffuse uptake </td> <td> Focal uptake </td> <td> Diffuse uptake </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> </thead> <tbody> <tr> <td> 1 </td> <td> 50 </td> <td> IDC + DCIS </td> <td> II </td> <td> 6.0 </td> <td> Comedo </td> <td> 5.0 </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> - </td> <td> - </td> <td> 8 </td> <td> 8 </td> <td> 50 </td> </tr> <tr> <td> 2 </td> <td> 58 </td> <td> IDC + DCIS </td> <td> III </td> <td> 2.5 </td> <td> Comedo </td> <td> 5.0 </td> <td> (-) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (-) </td> <td> - </td> <td> - </td> <td> 0 </td> <td> 0 </td> <td> 25 </td> </tr> <tr> <td> 3 </td> <td> 49 </td> <td> IDC + DCIS </td> <td> I </td> <td> 1.0 </td> <td> Comedo </td> <td> 6.0 </td> <td> (+) </td> <td> (-) </td> <td> (+) </td> <td> (-) </td> <td> (-) </td> <td> ++ </td> <td> - </td> <td> 0 </td> <td> 20 </td> <td> 55 </td> </tr> <tr> <td> 4 </td> <td> 65 </td> <td> IDC + DCIS </td> <td> II </td> <td> 5.0 </td> <td> Comedo </td> <td> 9.0 </td> <td> (-) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> - </td> <td> - </td> <td> 10 </td> <td> 50 </td> <td> 35 </td> </tr> <tr> <td> 5 </td> <td> 54 </td> <td> IDC + DCIS </td> <td> II </td> <td> 5.0 </td> <td> Comedo </td> <td> 7.0 </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> - </td> <td> - </td> <td> 0 </td> <td> 50 </td> <td> 45 </td> </tr> <tr> <td> 6 </td> <td> 48 </td> <td> IDC + DCIS </td> <td> II </td> <td> 2.5 </td> <td> Solid </td> <td> 5.0 </td> <td> (-) </td> <td> (+) </td> <td> (+) </td> <td> (-) </td> <td> (-) </td> <td> ++ </td> <td> + </td> <td> 0 </td> <td> 0 </td> <td> 15 </td> </tr> <tr> <td> 7 </td> <td> 77 </td> <td> IDC + DCIS </td> <td> III </td> <td> 3.0 </td> <td> Comedo + cribriform </td> <td> 4.0 </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (-) </td> <td> + </td> <td> - </td> <td> 0 </td> <td> 0 </td> <td> 35 </td> </tr> <tr> <td> 8 </td> <td> 40 </td> <td> IDC + DCIS </td> <td> II </td> <td> 1.5/1.8/2.0 (multifocal) </td> <td> Comedo </td> <td> 6.0 </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (-) </td> <td> + </td> <td> - </td> <td> 10 </td> <td> 10 </td> <td> 10 </td> </tr> <tr> <td> 9 </td> <td> 50 </td> <td> DCIS </td> <td> </td> <td> </td> <td> Comedo </td> <td> 0.8 </td> <td> (-) </td> <td> (-) </td> <td> (-) </td> <td> (-) </td> <td> (-) </td> <td> - </td> <td> - </td> <td> 8 </td> <td> 15 </td> <td> 32 </td> </tr> <tr> <td> 10 </td> <td> 53 </td> <td> IDC + DCIS </td> <td> II </td> <td> 1.5 </td> <td> Comedo </td> <td> 4.0 </td> <td> (-) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> - </td> <td> - </td> <td> 25 </td> <td> 0 </td> <td> 35 </td> </tr> <tr> <td> 11 </td> <td> 86 </td> <td> IDC + DCIS </td> <td> III </td> <td> 2.0 </td> <td> Comedo </td> <td> 3.0 </td> <td> (-) </td> <td> (+) </td> <td> (+) </td> <td> Not performed </td> <td> </td> <td> - </td> <td> - </td> <td> 0 </td> <td> 0 </td> <td> 42 </td> </tr> <tr> <td> 12 </td> <td> 66 </td> <td> DCIS </td> <td> </td> <td> </td> <td> - </td> <td> 3.0 </td> <td> (-) </td> <td> (-) </td> <td> (+) </td> <td> Not performed </td> <td> </td> <td> - </td> <td> - </td> <td> 0 </td> <td> 0 </td> <td> 35 </td> </tr> <tr> <td> 13 </td> <td> 71 </td> <td> IDC + DCIS </td> <td> II </td> <td> 0.7 </td> <td> Cribriform </td> <td> 8.0 </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> Not performed </td> <td> </td> <td> +++ </td> <td> + </td> <td> 0 </td> <td> 80 </td> <td> 55 </td> </tr> <tr> <td> 14 </td> <td> 60 </td> <td> IDC + DCIS </td> <td> II </td> <td> 2.9 </td> <td> Comedo + micropapillary </td> <td> 5.0 </td> <td> (-) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> - </td> <td> - </td> <td> 27 </td> <td> 75 </td> <td> 15 </td> </tr> <tr> <td> 15 </td> <td> 50 </td> <td> IDC + DCIS </td> <td> II </td> <td> 2.0 </td> <td> Micropapillary </td> <td> 2.0 </td> <td> (-) </td> <td> Not performed </td> <td> </td> <td> (+) </td> <td> (+) </td> <td> - </td> <td> - </td> <td> 0 </td> <td> 0 </td> <td> 31 </td> </tr> <tr> <td> 16 </td> <td> 38 </td> <td> IDC + DCIS </td> <td> III </td> <td> 4.3 </td> <td> Comedo </td> <td> 4.0 </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> Not performed </td> <td> </td> <td> + </td> <td> ++ </td> <td> 0 </td> <td> 50 </td> <td> 45 </td> </tr> <tr> <td> 17 </td> <td> 61 </td> <td> DCIS </td> <td> </td> <td> </td> <td> Comedo + solid </td> <td> 5.0 </td> <td> (+) </td> <td> (-) </td> <td> (+) </td> <td> Not performed </td> <td> </td> <td> - </td> <td> - </td> <td> 20 </td> <td> 10 </td> <td> 15 </td> </tr> <tr> <td> 18 </td> <td> 71 </td> <td> DCIS </td> <td> </td> <td> </td> <td> Comedo + solid + cribriform </td> <td> 4.5 </td> <td> (+) </td> <td> (-) </td> <td> (+) </td> <td> Not performed </td> <td> </td> <td> - </td> <td> - </td> <td> 13 </td> <td> 40 </td> <td> 35 </td> </tr> <tr> <td> 19 </td> <td> 67 </td> <td> ILC + LCIS </td> <td> II </td> <td> 2.5 </td> <td> </td> <td> 6.0 </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> Not performed </td> <td> </td> <td> ++ </td> <td> - </td> <td> 0 </td> <td> 0 </td> <td> 20 </td> </tr> <tr> <td> 20 </td> <td> 65 </td> <td> ILC + LCIS </td> <td> III </td> <td> 4.0 </td> <td> </td> <td> 6.0 </td> <td> (-) </td> <td> (+) </td> <td> (+) </td> <td> (+) </td> <td> (-) </td> <td> ++ </td> <td> ++ </td> <td> 6 </td> <td> 25 </td> <td> 38 </td> </tr> </tbody> </table> </body> </html>

train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> Culture </td> <td> BrdU-labeling indices of MCF10A cells (mean ± standard error of the mean) </td> <td> BrdU-labeling indices of MCF10A cells (group mean ± standard error of the mean) </td> <td colspan="2"> Comparison of BrdU-labeling indices of MCF10A cells between groups (linear regression) </td> </tr> </thead> <tbody> <tr> <td> MCF10A ( n = 6) </td> <td> 30.3 ± 3.0 </td> <td> 30.3 ± 3.0 </td> <td> MCF10A vs MCF10A + NAF ( P = 0.009) </td> <td> MCF10A + NAF vs MCF10A + CAF ( P = 0.501) </td> </tr> <tr> <td> NAF-1 + MCF10A ( n = 7) </td> <td> 21.9 ± 4.2 </td> <td> 16.1 ± 2.6 ( n = 19) </td> <td> </td> <td> </td> </tr> <tr> <td> NAF-2 + MCF10A ( n = 6) </td> <td> 10.7 ± 3.6 </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> NAF-3 + MCF10A ( n = 6) </td> <td> 14.7 ± 5.0 </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> CAF-1 + MCF10A ( n = 8) </td> <td> 15.2 ± 2.0 </td> <td> 18.5 ± 2.5 ( n = 19) </td> <td> MCF10A vs MCF10A + CAF ( P = 0.024) </td> <td> </td> </tr> <tr> <td> CAF-2 + MCF10A ( n = 6) </td> <td> 15.5 ± 4.2 </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> CAF-3 + MCF10A ( n = 5) </td> <td> 27.6 ± 6.7 </td> <td> </td> <td> </td> <td> </td> </tr> </tbody> </table> </body> </html>

train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> Cell type </td> <td colspan="4"> IGF II level (normalized to total protein) </td> </tr> <tr> <td> </td> <td colspan="2"> Monoculture </td> <td colspan="2"> Co-culture with MCF10AT cells </td> </tr> <tr> <td> </td> <td> Level (ng/μg) </td> <td> Mean (ng/μg) </td> <td> Level (ng/μg) </td> <td> Mean (ng/μg) </td> </tr> </thead> <tbody> <tr> <td> NAF </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> NAF-1 </td> <td> 49.25 </td> <td> </td> <td> 9.68 </td> <td> </td> </tr> <tr> <td> NAF-2 </td> <td> 45.00 </td> <td> </td> <td> 10.22 </td> <td> </td> </tr> <tr> <td> NAF-3 </td> <td> 68.14 </td> <td> 54.13 </td> <td> 10.27 </td> <td> 10.06 </td> </tr> <tr> <td> CAF </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> CAF-1 </td> <td> 70.64 </td> <td> </td> <td> 10.01 </td> <td> </td> </tr> <tr> <td> CAF-2 </td> <td> 52.37 </td> <td> </td> <td> 10.88 </td> <td> </td> </tr> <tr> <td> CAF-3 </td> <td> 52.96 </td> <td> 58.65 </td> <td> 9.96 </td> <td> 10.28 </td> </tr> <tr> <td colspan="5"> Breast epithelial cells </td> </tr> <tr> <td> MCF10AT </td> <td> 9.98 </td> <td> </td> <td> </td> <td> </td> </tr> </tbody> </table> </body> </html>

train

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train

65,384

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> Gene (sibling sets/cases/controls) </td> <td> </td> <td> Affected ( n ) </td> <td> Unaffected ( n ) </td> <td> Adjusted odds ratios for breast cancer (95% CI) </td> </tr> </thead> <tbody> <tr> <td> CYP17 (165/171/188) </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Dominant model </td> <td> TT </td> <td> 59 </td> <td> 56 </td> <td> 1.00 </td> </tr> <tr> <td> </td> <td> TC/CC </td> <td> 112 </td> <td> 132 </td> <td> 0.86 (0.47–1.59) </td> </tr> <tr> <td> Recessive model </td> <td> TC/TT </td> <td> 146 </td> <td> 154 </td> <td> 1.00 </td> </tr> <tr> <td> </td> <td> CC </td> <td> 25 </td> <td> 34 </td> <td> 0.61 (0.27–1.41) </td> </tr> <tr> <td> General model </td> <td> TT </td> <td> 59 </td> <td> 56 </td> <td> 1.00 </td> </tr> <tr> <td> </td> <td> TC </td> <td> 87 </td> <td> 98 </td> <td> 0.86 (0.47–1.59) </td> </tr> <tr> <td> </td> <td> CC </td> <td> 25 </td> <td> 34 </td> <td> 0.55 (0.21–1.42) </td> </tr> <tr> <td colspan="4"> Additive model (trend per allele) </td> <td> 0.77 (0.49–1.21) </td> </tr> <tr> <td colspan="5"> CYP19 (no. of TTTA repeats) (169/175/193) </td> </tr> <tr> <td> Dominant model </td> <td> (TTTA) <10 (TTTA) <10 </td> <td> 67 </td> <td> 78 </td> <td> 1.00 </td> </tr> <tr> <td> </td> <td> (TTTA) ≥10 (TTTA) <10 /(TTTA) ≥10 (TTTA) ≥10 </td> <td> 108 </td> <td> 115 </td> <td> 1.24 (0.63–2.46) </td> </tr> <tr> <td> Recessive model </td> <td> (TTTA) <10 (TTTA) <10 /(TTTA) ≥10 (TTTA) <10 </td> <td> 159 </td> <td> 173 </td> <td> 1.00 </td> </tr> <tr> <td> </td> <td> (TTTA) ≥10 (TTTA) ≥10 </td> <td> 16 </td> <td> 20 </td> <td> 0.82 (0.30–2.24) </td> </tr> <tr> <td> General model </td> <td> (TTTA) <10 (TTTA) <10 </td> <td> 67 </td> <td> 78 </td> <td> 1.00 </td> </tr> <tr> <td> </td> <td> (TTTA) ≥10 (TTTA) <10 </td> <td> 92 </td> <td> 95 </td> <td> 1.26 (0.64–2.51) </td> </tr> <tr> <td> </td> <td> (TTTA) ≥10 (TTTA) ≥10 </td> <td> 16 </td> <td> 20 </td> <td> 0.98 (0.30–3.18) </td> </tr> <tr> <td colspan="4"> Additive model (trend per allele) </td> <td> 1.11 (0.65–1.89) </td> </tr> <tr> <td> Dominant model </td> <td> (TTTA) other (TTTA) other </td> <td> 77 </td> <td> 95 </td> <td> 1.00 </td> </tr> <tr> <td> </td> <td> (TTTA) 11 (TTTA) other /(TTTA) 11 (TTTA) 11 </td> <td> 98 </td> <td> 98 </td> <td> 1.77 (0.90–3.47) </td> </tr> <tr> <td> Recessive model </td> <td> (TTTA) other (TTTA) other /(TTTA) 11 (TTTA) other </td> <td> 165 </td> <td> 179 </td> <td> 1.00 </td> </tr> <tr> <td> </td> <td> (TTTA) 11 (TTTA) 11 </td> <td> 10 </td> <td> 14 </td> <td> 0.66 (0.19–2.33) </td> </tr> <tr> <td> General model </td> <td> (TTTA) other (TTTA) other </td> <td> 77 </td> <td> 95 </td> <td> 1.00 </td> </tr> <tr> <td> </td> <td> (TTTA) 11 (TTTA) other </td> <td> 88 </td> <td> 84 </td> <td> 1.84 (0.93–3.63) </td> </tr> <tr> <td> </td> <td> (TTTA) 11 (TTTA) 11 </td> <td> 10 </td> <td> 14 </td> <td> 1.04 (0.27–4.08) </td> </tr> <tr> <td colspan="4"> Additive model (trend per allele) </td> <td> 1.38 (0.79–2.40) </td> </tr> </tbody> </table> </body> </html>

train

268,523

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td colspan="4"> Test statistic </td> </tr> <tr> <td> </td> <td colspan="2"> Mothers' carrier status and disease risk in daughters </td> <td colspan="2"> Fathers' carrier status and disease risk in daughters </td> </tr> <tr> <td> Variant allele(s) </td> <td> Additive </td> <td> Dominant </td> <td> Additive </td> <td> Dominant </td> </tr> </thead> <tbody> <tr> <td> CYP17 </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> C </td> <td> 1.47 </td> <td> 1.09 </td> <td> 1.40 </td> <td> 1.07 </td> </tr> <tr> <td> P </td> <td> 0.07 </td> <td> 0.14 </td> <td> 0.08 </td> <td> 0.14 </td> </tr> <tr> <td> CYP19 </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> (TTTA) ≥10 </td> <td> 1.73 </td> <td> 1.65 </td> <td> 0.95 </td> <td> 0.45 </td> </tr> <tr> <td> P </td> <td> 0.04 </td> <td> 0.05 </td> <td> 0.17 </td> <td> 0.33 </td> </tr> <tr> <td> (TTTA) 11 </td> <td> 1.52 </td> <td> 1.96 </td> <td> - 0.11 </td> <td> 0.18 </td> </tr> <tr> <td> P </td> <td> 0.06 </td> <td> 0.03 </td> <td> 0.46 </td> <td> 0.43 </td> </tr> </tbody> </table> </body> </html>

Datasets:

apoidea
/

pubtabnet-html

Models trained or fine-tuned on apoidea/pubtabnet-html

KennethTM/pix2struct-base-table2html