Abstract 7217: Homogeneity of mesothelin expression is tightly linked to its levels of expression in non-small cell lung cancer

Abstract Mesothelin is a membrane protein which is commonly expressed in lung cancer as well as in other cancer types while it is only rarely seen on the surface of normal cells. Therefore, mesothelin represents an attractive molecule for targeted cancer therapies employing CAR-T cells, monoclonal antibodies, recombinant immunotoxins, antibody-drug conjugates and other drugs. For targeted therapy, both the therapeutic success and the quality of the diagnostic assessment generally may critically depend on the degree of heterogeneity of target protein expression in each individual cancer. Cancers with mesothelin expression in all cancer cells are most likely to be correctly diagnosed as “mesothelin positive” in small biopsies and may also respond optimally to therapy as all tumor cells carry the critical target signature. To study the extent of intratumoral heterogeneity of mesothelin expression in non-small cell lung cancer (NSCLC), a NSCLC heterogeneity tissue microarray was analyzed by immunohistochemistry (IHC) in a tissue microarray (TMA) format. The TMA contained 0.6 mm tissue samples from 8 areas each of the primary cancers of 130 patients and up to 4 samples (1 sample per nodal metastasis) from matched lymph node metastases from 60 of these patients. Mesothelin positivity was observed in 411 of 1,007 (40.8%) evaluable samples. On a patient level, mesothelin positivity occurred in 56.2% (n=73) while the highest mesothelin staining intensity was strong in 30.0% (n=40), moderate in 9.2% (n=12), and weak in 16.2% (n=21) of patients. Heterogeneity analysis was based on 7.7 samples per patient on average (range 2-12) and revealed a homogeneous mesothelin positivity (observed in all evaluable samples) in 21.5% (n=28), a heterogeneous mesothelin positivity in 34.6% (n=45), and a homogeneous lack of mesothelin staining in 43.8% (n=57) of patients. Homogeneous mesothelin positivity was tightly linked to a high level of mesothelin expression. Among 73 patients with detectable mesothelin positivity in their cancers, positivity was homogeneous in 67.5% (27 out of 40) of patients with at least one strongly positive sample, 8.3% (1 out of 12) with only moderate positivity and not seen (0 out of 21) in patients with only weak mesothelin positivity (p<0.0001). It is concluded that NSCLC patients with high level mesothelin expression do mostly exhibit a homogeneous positivity across their cancer while the likelihood for heterogeneous findings increases in patients with a more equivocal mesothelin positivity. These findings could further support the concept that a high level of mesothelin staining could be related to a favorable response to anti-mesothelin drugs in NSCLC patients. Citation Format: Philipp Busch, Fiete Gehrisch, Nina Schraps, Katharina Möller, Seyma Büyücek, Maximilian Lennartz, Florian Viehweger, Christoph Fraune, Christian Bernreuther, Ronald Simon, Guido Sauter, Till Olchers, Florian Lutz, Martina Kluth, Georgia Makrypidi-Fraune, Stefan Steurer, Martin Reck, Sönke von Weihe. Homogeneity of mesothelin expression is tightly linked to its levels of expression in non-small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 7217.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-7217
Primary Topic
Occupational and environmental lung diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 7217: Homogeneity of mesothelin expression is tightly linked to its levels of expression in non-small cell lung cancer

Katharina Möller, M. Reck, Guido Sauter, Florian Lutz et al.
Cancer Research
Occupational and environmental lung diseases
article

Abstract 7217: Homogeneity of mesothelin expression is tightly linked to its levels of expression in non-small cell lung cancer

Katharina Möller, M. Reck, Guido Sauter, Florian Lutz, Christoph Fraune, Şeyma Büyücek, Philipp Busch, Florian Viehweger, Till Olchers, Ronald Simon, Nina Schraps, Georgia Makrypidi-Fraune, Martina Kluth, Maximilian Lennartz, Christian Bernreuther, Stefan Steurer, Fiete Gehrisch, Sönke von Weihe
article en

Abstract

Abstract Mesothelin is a membrane protein which is commonly expressed in lung cancer as well as in other cancer types while it is only rarely seen on the surface of normal cells. Therefore, mesothelin represents an attractive molecule for targeted cancer therapies employing CAR-T cells, monoclonal antibodies, recombinant immunotoxins, antibody-drug conjugates and other drugs. For targeted therapy, both the therapeutic success and the quality of the diagnostic assessment generally may critically depend on the degree of heterogeneity of target protein expression in each individual cancer. Cancers with mesothelin expression in all cancer cells are most likely to be correctly diagnosed as “mesothelin positive” in small biopsies and may also respond optimally to therapy as all tumor cells carry the critical target signature. To study the extent of intratumoral heterogeneity of mesothelin expression in non-small cell lung cancer (NSCLC), a NSCLC heterogeneity tissue microarray was analyzed by immunohistochemistry (IHC) in a tissue microarray (TMA) format. The TMA contained 0.6 mm tissue samples from 8 areas each of the primary cancers of 130 patients and up to 4 samples (1 sample per nodal metastasis) from matched lymph node metastases from 60 of these patients. Mesothelin positivity was observed in 411 of 1,007 (40.8%) evaluable samples. On a patient level, mesothelin positivity occurred in 56.2% (n=73) while the highest mesothelin staining intensity was strong in 30.0% (n=40), moderate in 9.2% (n=12), and weak in 16.2% (n=21) of patients. Heterogeneity analysis was based on 7.7 samples per patient on average (range 2-12) and revealed a homogeneous mesothelin positivity (observed in all evaluable samples) in 21.5% (n=28), a heterogeneous mesothelin positivity in 34.6% (n=45), and a homogeneous lack of mesothelin staining in 43.8% (n=57) of patients. Homogeneous mesothelin positivity was tightly linked to a high level of mesothelin expression. Among 73 patients with detectable mesothelin positivity in their cancers, positivity was homogeneous in 67.5% (27 out of 40) of patients with at least one strongly positive sample, 8.3% (1 out of 12) with only moderate positivity and not seen (0 out of 21) in patients with only weak mesothelin positivity (p<0.0001). It is concluded that NSCLC patients with high level mesothelin expression do mostly exhibit a homogeneous positivity across their cancer while the likelihood for heterogeneous findings increases in patients with a more equivocal mesothelin positivity. These findings could further support the concept that a high level of mesothelin staining could be related to a favorable response to anti-mesothelin drugs in NSCLC patients. Citation Format: Philipp Busch, Fiete Gehrisch, Nina Schraps, Katharina Möller, Seyma Büyücek, Maximilian Lennartz, Florian Viehweger, Christoph Fraune, Christian Bernreuther, Ronald Simon, Guido Sauter, Till Olchers, Florian Lutz, Martina Kluth, Georgia Makrypidi-Fraune, Stefan Steurer, Martin Reck, Sönke von Weihe. Homogeneity of mesothelin expression is tightly linked to its levels of expression in non-small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 7217.

Cancer ResearchVol. 86(7_Supplement)
Universität Hamburg (DE), University Medical Center Hamburg-Eppendorf (DE), German Center for Lung Research (DE), LungenClinic Grosshansdorf (DE)
Good health and well-being
Openalex Percentile: Top 5%
Occupational and environmental lung diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.