{"id":25,"date":"2026-04-21T02:25:42","date_gmt":"2026-04-21T02:25:42","guid":{"rendered":"https:\/\/www.keiopath.med.keio.ac.jp\/?page_id=25"},"modified":"2026-05-09T15:56:16","modified_gmt":"2026-05-09T15:56:16","slug":"%e6%a5%ad%e7%b8%be","status":"publish","type":"page","link":"https:\/\/www.keiopath.med.keio.ac.jp\/?page_id=25","title":{"rendered":"\u4e3b\u306a\u696d\u7e3e"},"content":{"rendered":"\n

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53 entries<\/span> «<\/a> ‹<\/a> 1 of 2 ›<\/a> »<\/a> <\/div><\/div>

2026<\/h3>

Matsuda, Kosuke; Ugai, Satoko; Miyahara, Satoshi; Yao, Qian; Cazaubiel, Jules; Nakazawa, Nobuhiro; Higashioka, Mayu; Zhong, Yuxue; Chan, Andrew T; Meyerhardt, Jeffrey A; Ng, Kimmie; Song, Mingyang; V\u00e4yrynen, Juha P; Nowak, Jonathan A; Giannakis, Marios; Ugai, Tomotaka; Ogino, Shuji<\/p>

Tumor vessel phenotype in colorectal cancer microenvironment according to age at diagnosis<\/a> Journal Article<\/span> <\/p>

In: <\/span>Br J Cancer, <\/span>vol. 134, <\/span>no. 10, <\/span>pp. 1375\u20131386, <\/span>2026<\/span>, ISSN: 1532-1827<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@article{pmid41882312,
\r\ntitle = {Tumor vessel phenotype in colorectal cancer microenvironment according to age at diagnosis},
\r\nauthor = {Kosuke Matsuda and Satoko Ugai and Satoshi Miyahara and Qian Yao and Jules Cazaubiel and Nobuhiro Nakazawa and Mayu Higashioka and Yuxue Zhong and Andrew T Chan and Jeffrey A Meyerhardt and Kimmie Ng and Mingyang Song and Juha P V\u00e4yrynen and Jonathan A Nowak and Marios Giannakis and Tomotaka Ugai and Shuji Ogino},
\r\ndoi = {10.1038\/s41416-026-03373-6},
\r\nissn = {1532-1827},
\r\nyear  = {2026},
\r\ndate = {2026-05-01},
\r\nurldate = {2026-05-01},
\r\njournal = {Br J Cancer},
\r\nvolume = {134},
\r\nnumber = {10},
\r\npages = {1375--1386},
\r\nabstract = {BACKGROUND: Given the global issue of the rising incidence of early-onset colorectal cancer (CRC), we tested the hypothesis that tumor vasculature phenotypes might vary with age at CRC diagnosis.nnMETHOD: We used in situ multispectral immunofluorescence combined with digital image analysis and machine learning to measure expression of endothelial cell markers [ACKR1 (DARC), CD34, CD36, KDR (VEGFR2), LAMB1 (laminin \u03b21), MADCAM1] and KRT (keratin) in 843 tumors derived from 4476 CRC cases in U.S.-wide prospective cohorts under the prospective cohort incident-tumor biobank method.nnRESULTS: Overall CD34 vessel and CD34LAMB1 vessel densities inversely correlated with younger age at CRC diagnosis (both P\u2009<\u20090.0001). In the inverse probability-weighted multivariable-adjusted logistic regression analyses, compared to age \u226570, odds ratios (with 95% confidence interval) for high (vs. low) overall vessel density were 0.85 (0.74-0.99) for age 55-69 and 0.63 (0.48-0.81) for age <55, and those for high (vs. low\/negative) CD34LAMB1 vessel density were 0.56 (0.47-0.65) for age 55-69 and 0.28 (0.20-0.40) for age <55.nnCONCLUSIONS: Hypovascularities of overall and CD34LAMB1 vessels may be microenvironmental characteristics of early-onset CRC if validated by independent studies. Our findings highlight age-related tumor pathobiological differences. Identifying specific biomarkers of early-onset CRC can provide pathogenetic and etiological clues.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
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BACKGROUND: Given the global issue of the rising incidence of early-onset colorectal cancer (CRC), we tested the hypothesis that tumor vasculature phenotypes might vary with age at CRC diagnosis.nnMETHOD: We used in situ multispectral immunofluorescence combined with digital image analysis and machine learning to measure expression of endothelial cell markers [ACKR1 (DARC), CD34, CD36, KDR (VEGFR2), LAMB1 (laminin \u03b21), MADCAM1] and KRT (keratin) in 843 tumors derived from 4476 CRC cases in U.S.-wide prospective cohorts under the prospective cohort incident-tumor biobank method.nnRESULTS: Overall CD34 vessel and CD34LAMB1 vessel densities inversely correlated with younger age at CRC diagnosis (both P\u2009<\u20090.0001). In the inverse probability-weighted multivariable-adjusted logistic regression analyses, compared to age \u226570, odds ratios (with 95% confidence interval) for high (vs. low) overall vessel density were 0.85 (0.74-0.99) for age 55-69 and 0.63 (0.48-0.81) for age <55, and those for high (vs. low\/negative) CD34LAMB1 vessel density were 0.56 (0.47-0.65) for age 55-69 and 0.28 (0.20-0.40) for age <55.nnCONCLUSIONS: Hypovascularities of overall and CD34LAMB1 vessels may be microenvironmental characteristics of early-onset CRC if validated by independent studies. Our findings highlight age-related tumor pathobiological differences. Identifying specific biomarkers of early-onset CRC can provide pathogenetic and etiological clues.<\/div>
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