Correlation of Immunological and Histopathological Features with Gene Expression-Based Classifiers in Colon Cancer Patients
The purpose of this study was to evaluate the association between four distinct histopathological features: (1) tumor infiltrating lymphocytes, (2) mucinous differentiation, (3) tumor-stroma ratio, plus (4) tumor budding and two gene expression-based classifiers—(1) consensus molecular subtypes (CMS...
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creator | van de Weerd, Simone Smit, Marloes A Roelands, Jessica Mesker, Wilma E Bedognetti, Davide Kuppen, Peter J K Putter, Hein Tollenaar, Rob A E M Roodhart, Jeanine M L Hendrickx, Wouter Medema, Jan Paul van Krieken, J Han J M |
description | The purpose of this study was to evaluate the association between four distinct histopathological features: (1) tumor infiltrating lymphocytes, (2) mucinous differentiation, (3) tumor-stroma ratio, plus (4) tumor budding and two gene expression-based classifiers—(1) consensus molecular subtypes (CMS) plus (2) colorectal cancer intrinsic subtypes (CRIS). All four histopathological features were retrospectively scored on hematoxylin and eosin sections of the most invasive part of the primary tumor in 218 stage II and III colon cancer patients from two independent cohorts (AMC-AJCC-90 and AC-ICAM). RNA-based CMS and CRIS assignments were independently obtained for all patients. Contingency tables were constructed and a χ2 test was used to test for statistical significance. Odds ratios with 95% confidence intervals were calculated. The presence of tumor infiltrating lymphocytes and a mucinous phenotype (>50% mucinous surface area) were strongly correlated with CMS1 (p < 0.001 and p = 0.008) and CRIS-A (p = 0.006 and p < 0.001). The presence of mucus (≥ 10%) was associated with CMS3: mucus was present in 64.1% of all CMS3 tumors (p < 0.001). Although a clear association between tumor-stroma ratio and CMS4 was established in this study (p = 0.006), still 32 out of 61 (52.5%) CMS4 tumors were scored as stroma-low, indicating that CMS4 tumors cannot be identified solely based on stromal content. Higher budding counts were seen in CMS4 and CRIS-B tumors (p = 0.045 and p = 0.046). No other associations of the measured parameters were seen for any of the other CRIS subtypes. Our analysis revealed clear associations between histopathologic features and CMS or CRIS subtypes. However, identification of distinct molecular subtypes solely based on histopathology proved to be infeasible. Combining both molecular and morphologic features could potentially improve patient stratification. |
doi_str_mv | 10.3390/ijms232012707 |
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All four histopathological features were retrospectively scored on hematoxylin and eosin sections of the most invasive part of the primary tumor in 218 stage II and III colon cancer patients from two independent cohorts (AMC-AJCC-90 and AC-ICAM). RNA-based CMS and CRIS assignments were independently obtained for all patients. Contingency tables were constructed and a χ2 test was used to test for statistical significance. Odds ratios with 95% confidence intervals were calculated. The presence of tumor infiltrating lymphocytes and a mucinous phenotype (>50% mucinous surface area) were strongly correlated with CMS1 (p < 0.001 and p = 0.008) and CRIS-A (p = 0.006 and p < 0.001). The presence of mucus (≥ 10%) was associated with CMS3: mucus was present in 64.1% of all CMS3 tumors (p < 0.001). Although a clear association between tumor-stroma ratio and CMS4 was established in this study (p = 0.006), still 32 out of 61 (52.5%) CMS4 tumors were scored as stroma-low, indicating that CMS4 tumors cannot be identified solely based on stromal content. Higher budding counts were seen in CMS4 and CRIS-B tumors (p = 0.045 and p = 0.046). No other associations of the measured parameters were seen for any of the other CRIS subtypes. Our analysis revealed clear associations between histopathologic features and CMS or CRIS subtypes. However, identification of distinct molecular subtypes solely based on histopathology proved to be infeasible. Combining both molecular and morphologic features could potentially improve patient stratification.</description><identifier>ISSN: 1422-0067</identifier><identifier>ISSN: 1661-6596</identifier><identifier>EISSN: 1422-0067</identifier><identifier>DOI: 10.3390/ijms232012707</identifier><identifier>PMID: 36293565</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Biology ; Biomarkers ; Biomarkers, Tumor - genetics ; Cancer therapies ; Chemotherapy ; Chi-square test ; Classification ; Clinical outcomes ; Colon ; Colon cancer ; Colonic Neoplasms - genetics ; Colorectal cancer ; Colorectal carcinoma ; Colorectal Neoplasms - pathology ; Confidence intervals ; Contingency ; Eosine Yellowish-(YS) ; Gene Expression ; Genotype & phenotype ; Hematoxylin ; Humans ; Immunology ; Invasiveness ; Lymphocytes ; Medical prognosis ; Metastasis ; Mucus ; Patients ; Phenotypes ; Retrospective Studies ; RNA ; Statistical analysis ; Stroma ; Tumors</subject><ispartof>International journal of molecular sciences, 2022-10, Vol.23 (20), p.12707</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-dee0d311a192f64a47098069d66ef50ad22bc81e7671fd0f27958e97b67f099b3</citedby><cites>FETCH-LOGICAL-c415t-dee0d311a192f64a47098069d66ef50ad22bc81e7671fd0f27958e97b67f099b3</cites><orcidid>0000-0002-3961-5040 ; 0000-0001-8145-8651 ; 0000-0002-0294-3251</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604175/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604175/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36293565$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>van de Weerd, Simone</creatorcontrib><creatorcontrib>Smit, Marloes A</creatorcontrib><creatorcontrib>Roelands, Jessica</creatorcontrib><creatorcontrib>Mesker, Wilma E</creatorcontrib><creatorcontrib>Bedognetti, Davide</creatorcontrib><creatorcontrib>Kuppen, Peter J K</creatorcontrib><creatorcontrib>Putter, Hein</creatorcontrib><creatorcontrib>Tollenaar, Rob A E M</creatorcontrib><creatorcontrib>Roodhart, Jeanine M L</creatorcontrib><creatorcontrib>Hendrickx, Wouter</creatorcontrib><creatorcontrib>Medema, Jan Paul</creatorcontrib><creatorcontrib>van Krieken, J Han J M</creatorcontrib><title>Correlation of Immunological and Histopathological Features with Gene Expression-Based Classifiers in Colon Cancer Patients</title><title>International journal of molecular sciences</title><addtitle>Int J Mol Sci</addtitle><description>The purpose of this study was to evaluate the association between four distinct histopathological features: (1) tumor infiltrating lymphocytes, (2) mucinous differentiation, (3) tumor-stroma ratio, plus (4) tumor budding and two gene expression-based classifiers—(1) consensus molecular subtypes (CMS) plus (2) colorectal cancer intrinsic subtypes (CRIS). All four histopathological features were retrospectively scored on hematoxylin and eosin sections of the most invasive part of the primary tumor in 218 stage II and III colon cancer patients from two independent cohorts (AMC-AJCC-90 and AC-ICAM). RNA-based CMS and CRIS assignments were independently obtained for all patients. Contingency tables were constructed and a χ2 test was used to test for statistical significance. Odds ratios with 95% confidence intervals were calculated. The presence of tumor infiltrating lymphocytes and a mucinous phenotype (>50% mucinous surface area) were strongly correlated with CMS1 (p < 0.001 and p = 0.008) and CRIS-A (p = 0.006 and p < 0.001). The presence of mucus (≥ 10%) was associated with CMS3: mucus was present in 64.1% of all CMS3 tumors (p < 0.001). Although a clear association between tumor-stroma ratio and CMS4 was established in this study (p = 0.006), still 32 out of 61 (52.5%) CMS4 tumors were scored as stroma-low, indicating that CMS4 tumors cannot be identified solely based on stromal content. Higher budding counts were seen in CMS4 and CRIS-B tumors (p = 0.045 and p = 0.046). No other associations of the measured parameters were seen for any of the other CRIS subtypes. Our analysis revealed clear associations between histopathologic features and CMS or CRIS subtypes. However, identification of distinct molecular subtypes solely based on histopathology proved to be infeasible. 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Although a clear association between tumor-stroma ratio and CMS4 was established in this study (p = 0.006), still 32 out of 61 (52.5%) CMS4 tumors were scored as stroma-low, indicating that CMS4 tumors cannot be identified solely based on stromal content. Higher budding counts were seen in CMS4 and CRIS-B tumors (p = 0.045 and p = 0.046). No other associations of the measured parameters were seen for any of the other CRIS subtypes. Our analysis revealed clear associations between histopathologic features and CMS or CRIS subtypes. However, identification of distinct molecular subtypes solely based on histopathology proved to be infeasible. Combining both molecular and morphologic features could potentially improve patient stratification.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36293565</pmid><doi>10.3390/ijms232012707</doi><orcidid>https://orcid.org/0000-0002-3961-5040</orcidid><orcidid>https://orcid.org/0000-0001-8145-8651</orcidid><orcidid>https://orcid.org/0000-0002-0294-3251</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biology Biomarkers Biomarkers, Tumor - genetics Cancer therapies Chemotherapy Chi-square test Classification Clinical outcomes Colon Colon cancer Colonic Neoplasms - genetics Colorectal cancer Colorectal carcinoma Colorectal Neoplasms - pathology Confidence intervals Contingency Eosine Yellowish-(YS) Gene Expression Genotype & phenotype Hematoxylin Humans Immunology Invasiveness Lymphocytes Medical prognosis Metastasis Mucus Patients Phenotypes Retrospective Studies RNA Statistical analysis Stroma Tumors |
title | Correlation of Immunological and Histopathological Features with Gene Expression-Based Classifiers in Colon Cancer Patients |
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